Do $3/8$ (37.5%) of Quadratics Have No $x$-Intercepts?Conjectures that have been disproved with extremely large counterexamples?Probability that a quadratic polynomial with random coefficients has real rootsSolving Quadraticshow to prove roots quadraticsQuadratics and rootsQuadratic Function: X intercepts.quadratics equation tricky problemFactorizing quadratics mentallyAre there more quadratics with real roots or more with complex roots? Or the same?Quadratics and rootsAlgebra: QuadraticsSolving quadratics writing solutions

A Star Trek book I read in the eighties, Kirk is shunned for destroying a civilization

Invalid time zone 'UTC'

Idomatic expression for “less and less”

Why rounding odd font sizes to even?

Does any country have free college & open admissions?

What was meant by the protest sign "Bundestag nach Berlin"?

Why do Muslim refugees seek asylum in Europe and not in rich countries in the Middle East?

Stochastic Integral Graph

How do I get a planar traveling party to use survival/spell slots for food/drink instead of an artificer's Replicate Magic Item infusion?

Differences of latch and lock

Object Oriented Programming - how to avoid duplication in processes that differ slightly depending on a variable

50% portfolio in single stock, JPM - appropriate for 80 year old?

delete specific character "[" from a file

Using footnotes in fiction: children's book which can be enjoyed by adults

Was there a clearly identifiable "first computer" to use or demonstrate the use of virtual memory?

At what point in time would humans notice a 21st century satellite observing them?

My boss wants me to recreate everything I have done for my previous employer

Is it possible to get reverse life insurance?

Identify the Eeveelutions

Driving distance between O'Hare (ORD) and Downtown Chicago is 20.5 mi and 1H 17min?

Download, upload, downstream, upstream

Pattern Matching, FullForm and DisplayForm

Doubt on pronunciation of verbs (stressing)

Unexpected Code Coverage Reduction



Do $3/8$ (37.5%) of Quadratics Have No $x$-Intercepts?


Conjectures that have been disproved with extremely large counterexamples?Probability that a quadratic polynomial with random coefficients has real rootsSolving Quadraticshow to prove roots quadraticsQuadratics and rootsQuadratic Function: X intercepts.quadratics equation tricky problemFactorizing quadratics mentallyAre there more quadratics with real roots or more with complex roots? Or the same?Quadratics and rootsAlgebra: QuadraticsSolving quadratics writing solutions






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty
margin-bottom:0;

.everyonelovesstackoverflowposition:absolute;height:1px;width:1px;opacity:0;top:0;left:0;pointer-events:none;








29














$begingroup$


I randomly had a thought about what proportion of quadratics don't have real $x$-intercepts. Initially I thought 33%, because 0,1,2 intercepts, then I thought that the proportion of 1 intercepts is infinitesimal. So I then thought 50%, as graphically half the quadratics would be above the $x$-axis, the other half below.



If you put it into a list of (max,min) and (above,below):
Minimum + Above = no $x$-intercepts



Minimum + Below = 2 $x$-intercepts



Maximum + Above = 2 $x$-intercepts



Maximum + Below = no $x$-intercepts.



Hence 50% right?



Well I simulated it using code. I randomised a, b and c, and output the discriminant. If it is less than 0, add 1 to a variable. Do this about 100000 times. Now divide the variable by 100000. I get numbers like $(37.5pm0.2)$%.



I hypothesise that it averages $3/8$.



Why?



There may be a fallacy to my approach of finding the 'proportion'. Fundamentally, it is the probability of getting a quadratic with no $x$-intercepts. However, I am not sure.



EDIT: The range was from $(-n,n)$, where $n$ was 100000, or even higher.










share|cite|improve this question












$endgroup$










  • 5




    $begingroup$
    For the case $a, b, c in (0, 1)$, see this question.
    $endgroup$
    – Luca Bressan
    Jul 29 at 7:39






  • 1




    $begingroup$
    I should have mentioned, the range was from (-n,n), and I kept increasing n, no change in the output.
    $endgroup$
    – Simplex1
    Jul 29 at 7:48






  • 6




    $begingroup$
    @Simplex1 since $a,b,c$ gives the same number of intercepts as $ka, kb, kc$ for any $k$, the results of your experiment should be independent of the range.
    $endgroup$
    – alephzero
    Jul 29 at 15:56






  • 13




    $begingroup$
    As an example of how there's not a natural probability distribution over quadratics - in my mind, it's equally or perhaps more natural to specify a quadratic in "completed square" form as: $A(x-B)^2 + C$. In this case, B marks the axis of reflection, C the y-coordinate of the extremal point. If we take $(A, B, C)$ uniformly distributed in $[-n, n]^3$ then it's clear we have probability $1/2$ of an intercept because we have an intercept exactly when A and C are of opposite sign (ignoring the case of A or C being 0 which has probability density 0).
    $endgroup$
    – David E
    Jul 29 at 16:21







  • 2




    $begingroup$
    This was a great question, regardless of how it turns out.
    $endgroup$
    – The Count
    Jul 30 at 1:59

















29














$begingroup$


I randomly had a thought about what proportion of quadratics don't have real $x$-intercepts. Initially I thought 33%, because 0,1,2 intercepts, then I thought that the proportion of 1 intercepts is infinitesimal. So I then thought 50%, as graphically half the quadratics would be above the $x$-axis, the other half below.



If you put it into a list of (max,min) and (above,below):
Minimum + Above = no $x$-intercepts



Minimum + Below = 2 $x$-intercepts



Maximum + Above = 2 $x$-intercepts



Maximum + Below = no $x$-intercepts.



Hence 50% right?



Well I simulated it using code. I randomised a, b and c, and output the discriminant. If it is less than 0, add 1 to a variable. Do this about 100000 times. Now divide the variable by 100000. I get numbers like $(37.5pm0.2)$%.



I hypothesise that it averages $3/8$.



Why?



There may be a fallacy to my approach of finding the 'proportion'. Fundamentally, it is the probability of getting a quadratic with no $x$-intercepts. However, I am not sure.



EDIT: The range was from $(-n,n)$, where $n$ was 100000, or even higher.










share|cite|improve this question












$endgroup$










  • 5




    $begingroup$
    For the case $a, b, c in (0, 1)$, see this question.
    $endgroup$
    – Luca Bressan
    Jul 29 at 7:39






  • 1




    $begingroup$
    I should have mentioned, the range was from (-n,n), and I kept increasing n, no change in the output.
    $endgroup$
    – Simplex1
    Jul 29 at 7:48






  • 6




    $begingroup$
    @Simplex1 since $a,b,c$ gives the same number of intercepts as $ka, kb, kc$ for any $k$, the results of your experiment should be independent of the range.
    $endgroup$
    – alephzero
    Jul 29 at 15:56






  • 13




    $begingroup$
    As an example of how there's not a natural probability distribution over quadratics - in my mind, it's equally or perhaps more natural to specify a quadratic in "completed square" form as: $A(x-B)^2 + C$. In this case, B marks the axis of reflection, C the y-coordinate of the extremal point. If we take $(A, B, C)$ uniformly distributed in $[-n, n]^3$ then it's clear we have probability $1/2$ of an intercept because we have an intercept exactly when A and C are of opposite sign (ignoring the case of A or C being 0 which has probability density 0).
    $endgroup$
    – David E
    Jul 29 at 16:21







  • 2




    $begingroup$
    This was a great question, regardless of how it turns out.
    $endgroup$
    – The Count
    Jul 30 at 1:59













29












29








29


7



$begingroup$


I randomly had a thought about what proportion of quadratics don't have real $x$-intercepts. Initially I thought 33%, because 0,1,2 intercepts, then I thought that the proportion of 1 intercepts is infinitesimal. So I then thought 50%, as graphically half the quadratics would be above the $x$-axis, the other half below.



If you put it into a list of (max,min) and (above,below):
Minimum + Above = no $x$-intercepts



Minimum + Below = 2 $x$-intercepts



Maximum + Above = 2 $x$-intercepts



Maximum + Below = no $x$-intercepts.



Hence 50% right?



Well I simulated it using code. I randomised a, b and c, and output the discriminant. If it is less than 0, add 1 to a variable. Do this about 100000 times. Now divide the variable by 100000. I get numbers like $(37.5pm0.2)$%.



I hypothesise that it averages $3/8$.



Why?



There may be a fallacy to my approach of finding the 'proportion'. Fundamentally, it is the probability of getting a quadratic with no $x$-intercepts. However, I am not sure.



EDIT: The range was from $(-n,n)$, where $n$ was 100000, or even higher.










share|cite|improve this question












$endgroup$




I randomly had a thought about what proportion of quadratics don't have real $x$-intercepts. Initially I thought 33%, because 0,1,2 intercepts, then I thought that the proportion of 1 intercepts is infinitesimal. So I then thought 50%, as graphically half the quadratics would be above the $x$-axis, the other half below.



If you put it into a list of (max,min) and (above,below):
Minimum + Above = no $x$-intercepts



Minimum + Below = 2 $x$-intercepts



Maximum + Above = 2 $x$-intercepts



Maximum + Below = no $x$-intercepts.



Hence 50% right?



Well I simulated it using code. I randomised a, b and c, and output the discriminant. If it is less than 0, add 1 to a variable. Do this about 100000 times. Now divide the variable by 100000. I get numbers like $(37.5pm0.2)$%.



I hypothesise that it averages $3/8$.



Why?



There may be a fallacy to my approach of finding the 'proportion'. Fundamentally, it is the probability of getting a quadratic with no $x$-intercepts. However, I am not sure.



EDIT: The range was from $(-n,n)$, where $n$ was 100000, or even higher.







roots graphing-functions quadratics






share|cite|improve this question
















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Jul 31 at 16:53









user21820

42.2k5 gold badges50 silver badges180 bronze badges




42.2k5 gold badges50 silver badges180 bronze badges










asked Jul 29 at 7:31









Simplex1Simplex1

3613 silver badges10 bronze badges




3613 silver badges10 bronze badges










  • 5




    $begingroup$
    For the case $a, b, c in (0, 1)$, see this question.
    $endgroup$
    – Luca Bressan
    Jul 29 at 7:39






  • 1




    $begingroup$
    I should have mentioned, the range was from (-n,n), and I kept increasing n, no change in the output.
    $endgroup$
    – Simplex1
    Jul 29 at 7:48






  • 6




    $begingroup$
    @Simplex1 since $a,b,c$ gives the same number of intercepts as $ka, kb, kc$ for any $k$, the results of your experiment should be independent of the range.
    $endgroup$
    – alephzero
    Jul 29 at 15:56






  • 13




    $begingroup$
    As an example of how there's not a natural probability distribution over quadratics - in my mind, it's equally or perhaps more natural to specify a quadratic in "completed square" form as: $A(x-B)^2 + C$. In this case, B marks the axis of reflection, C the y-coordinate of the extremal point. If we take $(A, B, C)$ uniformly distributed in $[-n, n]^3$ then it's clear we have probability $1/2$ of an intercept because we have an intercept exactly when A and C are of opposite sign (ignoring the case of A or C being 0 which has probability density 0).
    $endgroup$
    – David E
    Jul 29 at 16:21







  • 2




    $begingroup$
    This was a great question, regardless of how it turns out.
    $endgroup$
    – The Count
    Jul 30 at 1:59












  • 5




    $begingroup$
    For the case $a, b, c in (0, 1)$, see this question.
    $endgroup$
    – Luca Bressan
    Jul 29 at 7:39






  • 1




    $begingroup$
    I should have mentioned, the range was from (-n,n), and I kept increasing n, no change in the output.
    $endgroup$
    – Simplex1
    Jul 29 at 7:48






  • 6




    $begingroup$
    @Simplex1 since $a,b,c$ gives the same number of intercepts as $ka, kb, kc$ for any $k$, the results of your experiment should be independent of the range.
    $endgroup$
    – alephzero
    Jul 29 at 15:56






  • 13




    $begingroup$
    As an example of how there's not a natural probability distribution over quadratics - in my mind, it's equally or perhaps more natural to specify a quadratic in "completed square" form as: $A(x-B)^2 + C$. In this case, B marks the axis of reflection, C the y-coordinate of the extremal point. If we take $(A, B, C)$ uniformly distributed in $[-n, n]^3$ then it's clear we have probability $1/2$ of an intercept because we have an intercept exactly when A and C are of opposite sign (ignoring the case of A or C being 0 which has probability density 0).
    $endgroup$
    – David E
    Jul 29 at 16:21







  • 2




    $begingroup$
    This was a great question, regardless of how it turns out.
    $endgroup$
    – The Count
    Jul 30 at 1:59







5




5




$begingroup$
For the case $a, b, c in (0, 1)$, see this question.
$endgroup$
– Luca Bressan
Jul 29 at 7:39




$begingroup$
For the case $a, b, c in (0, 1)$, see this question.
$endgroup$
– Luca Bressan
Jul 29 at 7:39




1




1




$begingroup$
I should have mentioned, the range was from (-n,n), and I kept increasing n, no change in the output.
$endgroup$
– Simplex1
Jul 29 at 7:48




$begingroup$
I should have mentioned, the range was from (-n,n), and I kept increasing n, no change in the output.
$endgroup$
– Simplex1
Jul 29 at 7:48




6




6




$begingroup$
@Simplex1 since $a,b,c$ gives the same number of intercepts as $ka, kb, kc$ for any $k$, the results of your experiment should be independent of the range.
$endgroup$
– alephzero
Jul 29 at 15:56




$begingroup$
@Simplex1 since $a,b,c$ gives the same number of intercepts as $ka, kb, kc$ for any $k$, the results of your experiment should be independent of the range.
$endgroup$
– alephzero
Jul 29 at 15:56




13




13




$begingroup$
As an example of how there's not a natural probability distribution over quadratics - in my mind, it's equally or perhaps more natural to specify a quadratic in "completed square" form as: $A(x-B)^2 + C$. In this case, B marks the axis of reflection, C the y-coordinate of the extremal point. If we take $(A, B, C)$ uniformly distributed in $[-n, n]^3$ then it's clear we have probability $1/2$ of an intercept because we have an intercept exactly when A and C are of opposite sign (ignoring the case of A or C being 0 which has probability density 0).
$endgroup$
– David E
Jul 29 at 16:21





$begingroup$
As an example of how there's not a natural probability distribution over quadratics - in my mind, it's equally or perhaps more natural to specify a quadratic in "completed square" form as: $A(x-B)^2 + C$. In this case, B marks the axis of reflection, C the y-coordinate of the extremal point. If we take $(A, B, C)$ uniformly distributed in $[-n, n]^3$ then it's clear we have probability $1/2$ of an intercept because we have an intercept exactly when A and C are of opposite sign (ignoring the case of A or C being 0 which has probability density 0).
$endgroup$
– David E
Jul 29 at 16:21





2




2




$begingroup$
This was a great question, regardless of how it turns out.
$endgroup$
– The Count
Jul 30 at 1:59




$begingroup$
This was a great question, regardless of how it turns out.
$endgroup$
– The Count
Jul 30 at 1:59










8 Answers
8






active

oldest

votes


















48
















$begingroup$

The problem isn't that there's no way to choose a random quadratic. The problem is that there's many ways, and there's no obvious reason to think of any of them as "the" way to pick one.



For starters, even picking a "random number" is something you can do in many ways:



  • uniformly from some interval, say $(-1,1)$, or $(0, 1)$, or $(2,17)$,

  • from a normal distribution with any mean or variance,

  • from an exponential distribution with any mean,

  • from a Cauchy distribution,

  • from some weird arbitrary distribution you make up yourself

(Note that "a number uniformly randomly chosen from all real numbers" is not possible, simply because the integral of the density function over all real numbers (i.e. the total probability) must be $1$, and no constant function does that.)



Now, with that in mind, here are some ways you could pick a random quadratic:



  • choosing each of $a$, $b$ and $c$ randomly by any of the above methods (or some combination of them) and constructing $ax^2 + bx + c$,

  • choosing $(a, b)$ as the stationary point and a scaling factor $c$ (again, by any / several of the methods above) and writing $c(x - a)^2 + b$,

  • choosing $f(0)$, $f(1)$, $f(2)$ randomly and using the unique quadratic that goes through all three (of course, you could replace $0$, $1$, $2$ with any other three real numbers),

  • choosing $f(0)$, $f'(0)$, and $f''(0)$ randomly, and picking the quadratic that has those values (which is admittedly very similar to the first method, but not quite),

  • ... I could go on.

All of these are plausible interpretations of "a random quadratic", depending on where the randomness is coming from. They will all (in general) produce different answers to questions like these.



(And note that for the same reasons as before, you can't have any way of picking random quadratics that is "translation-invariant" in the sense that $f(x)$ and $f(x - a)$ are equally likely, or $f(x)$ and $f(x) + b$ are equally likely.)



Now you could ask for your particular way of choosing a random quadratic, why the probability of having no x-intercepts is what you found it out to be. I think another of this question's answers points you in the right direction for that.






share|cite|improve this answer












$endgroup$










  • 15




    $begingroup$
    @YungGun it sounds like you want the coefficients a, b, c, and c to be sampled uniformly from the real numbers. But this is impossible because there is no uniform distribution over the real numbers. The integral of a constant function on the reals is either zero or infinite, never 1.
    $endgroup$
    – Thom Smith
    Jul 29 at 17:58






  • 12




    $begingroup$
    It converges to zero everywhere? I'm not sure what you're getting at.
    $endgroup$
    – Thom Smith
    Jul 29 at 19:11






  • 1




    $begingroup$
    @Joshua: A constant function is just f(x)=c. You're overthinking this.
    $endgroup$
    – MSalters
    Jul 30 at 8:27






  • 2




    $begingroup$
    Yes but then it's identically the constant function $f(x)=0$.
    $endgroup$
    – Jam
    Jul 30 at 14:02






  • 2




    $begingroup$
    @Falco: If you take the positive integers in the order $2,4,1,6,8,3,10,12,5,14,16,7,dots$, then $frac13$ of them are odd. But nobody would consider the positive integers in this order unless they were deliberately trying to construct a counterexample to something. On the other hand, if you asked 10 different mathematicians "what is the most natural way to construct a random quadratic", the procedures you'd get would probably lead to at least four different answers to this problem.
    $endgroup$
    – Micah
    Jul 31 at 17:08


















44
















$begingroup$

It's helpful to think of each quadratic polynomial as corresponding to a point in "coefficient space", an abstract 3D space whose coordinates are $(a,b,c)$. The question "What fraction of quadratic polynomials have no $x$-intercept?" can then be rephrased as "What fraction of coefficient space lies in the region $b^2 < 4 a c$?"



The problem is, of course, that this "coefficient space" has an infinite volume: $a$, $b$, or $c$ can be arbitrarily large. What's more, the region of coefficient space corresponding to polynomials without intercepts is also infinitely large: for any polynomial without an $x$-intercept, you can multiply it by any real number and get another polynomial without an $x$-intercept. And if mathematics has taught us anything, it's that if we try to divide ∞ by ∞ we cannot expect a meaningful result.



You can, however, place bounds on the values of $a$, $b$, and $c$, so that these volumes of "coefficient space" are finite. In your code, you picked the quantities $(a, b, c)$ with uniform probability from the range $(-10^5, 10^5)$. This corresponds to the region of coefficient space below:



enter image description here



Mathematica (which I used to make this plot), tells me that the fraction of this cube that is filled is
$$
frac31 - 6 ln 272 = 0.3727932905... neq frac38.
$$

So the ratio you found "experimentally" is not actually equal to 3/8, but it's pretty close.



On the other hand, you could have also decided to pick all your coefficients such that $a^2 + b^2 + c^2 < (10^5)^2$. This would correspond to allowing $a$, $b$, and $c$ to lie in some spherical region of "coefficient space". Spheres are nice, right? Everybody likes spheres.



enter image description here



The fraction of this region out of the allowed spherical volume in coefficient space is (again, relying on Mathematica) is only about 0.3514..., noticeably less than 3/8. The region of coefficients you allow, and how you parametrize them, turns out to make a difference in what your final answer is (which is what some of the other answers are trying to point out.)






share|cite|improve this answer










$endgroup$














  • $begingroup$
    Is the fraction dependent on the size of the structure?
    $endgroup$
    – M.Herzkamp
    Jul 30 at 9:09






  • 2




    $begingroup$
    @M.Herzkamp: No, so long as you scale the volume uniformly in all directions. This is because of the scaling properties I mentioned: when $a x^2 + b x + c$ has no intercept, so does $k ax ^2 + kb x + kc$ for any value of $k$.
    $endgroup$
    – Michael Seifert
    Jul 30 at 11:55






  • 1




    $begingroup$
    Does the sequence converge as the radius of the coeffecient space increases toward infinity?
    $endgroup$
    – Paul Belanger
    Jul 31 at 12:54



















27
















$begingroup$

There are infinitely many quadratics, so the number you get in the end is completely up to how "sample" from the set of all possible curves. For example, if you sample $ain[1,2]$, and $cin[-2, -1]$, then all the curves will have a real intercept. On the other hand, if $a,cin [1,2]$ and $bin[-1,1]$, then none of the curves will have a real intercept.



Edit:



Now that you said that $a,b,c$ are all uniformly distributed on $[-n, n]$, your problem translates to this:



  • Each selection of $(a,b,c)$ is one point in the cube $C=(-n, n)times(-n, n)times(-n,n)$.

  • Each selection is equally likely.

  • Therefore, you are really asking about the volume of the set $ b^2-4ac geq 0$. Once you get that volume, the ration of that volume to the volume of $C$ is what you need.





share|cite|improve this answer












$endgroup$










  • 13




    $begingroup$
    @Simplex1 No I would suggest that there is no way to "just randomize". You have to specify the range and distribution, but once you do that, it is perfectly meaningful to randomize. But you won't get an answer of "x% of all quadratics have a real intercept". You will get an answer of "If a random quadratic is picked in such and such way, then the probability of it having a real intercept is x%".
    $endgroup$
    – 5xum
    Jul 29 at 7:53






  • 8




    $begingroup$
    What does "properly depicts a random set of coefficients" mean? I'm not trying to f*** with you here. I honestly don't know what you mean by that. That is, I know vaguely what you mean, but mathematics doesn't deal with vague meanings, we can only answer a question if we know exactly what it means.
    $endgroup$
    – 5xum
    Jul 29 at 8:00







  • 6




    $begingroup$
    @Simplex1 I'm really not trying to be annoying, but what you wrote is not mathematically meaningful. "No bias towards the values of the coefficients" is meaningless.
    $endgroup$
    – 5xum
    Jul 29 at 8:12







  • 6




    $begingroup$
    @Simplex1 Unoformly over what?
    $endgroup$
    – 5xum
    Jul 29 at 8:15






  • 5




    $begingroup$
    @YungGun What "some" finite range?
    $endgroup$
    – 5xum
    Jul 29 at 18:32


















15
















$begingroup$

Assume $a$,$b$,$c$ are independent and uniform in $(-n,n)$. Denote the probability that the quadratic has no $x$-intercept by $p = P[b^2 < 4ac]$.
Since $b^2 < 4ac$ can only be true when $ac > 0$, which happens in $4$ of the $8$ possible sign assignments on $a,b,c$, and otherwise the condition is symmetric with respect to signs,
we have
beginalign
p
&= frac12 P[b^2 < 4ac mid a,b,c > 0] \
&= frac12 P[(b/n)^2 < 4(a/n)(c/n) mid a,b,c > 0] \
&= frac12 P[y^2 < 4xz]
endalign

where $x,y,z$ are independent and uniform in $(0,1)$. In particular, $p$ does not depend on $n$.
The last probability is given by the integral
$$
int_0^1 int_0^1 int_0^min2sqrtxz,1 1 ; dy ; dz ; dx
= frac3136 - fracln 26 approx 0.745587
$$

(Wolfram Alpha). Hence
$$
p = frac3172 - fracln 212 approx 0.372793,
$$

very close to the conjectured $0.375$.






share|cite|improve this answer










$endgroup$






















    8
















    $begingroup$

    While other answers have pointed out the problem of defining a random quadratic, I will argue that there are, indeed, rather interesting measures on the quadratics.



    Let $ax^2+bx+c=0$ be the equation of a parabola. Il we multiply all the coefficients by some constant, we get e.g.



    $$10ax^2+10bx+10c=0,$$



    which is another equation of the same curve. Hence, instead of taking for $(a,b,c)$ general real numbers, we can normalize, for instance by adding the constraint $a^2+b^2+c^2 = 1$. Then $(a,b,c)$ lie on a sphere, on which there is a natural probability measure: the uniform measure. The simplest way to simulate this setting is to take for $a$, $b$ and $c$ three independent standard Gaussians; then $(a,b,c)/ |a^2+b^2+c^2|$ is uniform on the unit sphere.



    Note that (as per Leftaroundabout's comment) this is just one possible normalization, and thus one possible measure on quadratics, called Kac's random polynomial. There are other reasonable measures. However, this one in particular gives rise to some interesting and not too difficult pieces of mathematics.



    Anyway, whichever normalization you choose, this highlights a feature of this problem which is not very visible in Michael Seifert's answer: the quadratics having no $x$-intercept are exactly those whose coefficients satisfy $b^2-4ac<0$, which is, in parameter space, the equation of a filled cone (try to plot it on Mathematica and to move the object around). The point of view above interprets "the proportion of quadrics having no $x$-intercept" as "the proportion of directions in parameter space corresponding to quadrics having no $x$-intercept", or equivalently "the proportion of quadratics with $a^2+b^2+c^2 leq 1$ having no $x$-intercept".



    Under this setting, and if I'm not mistaken, a quick computation gives me that the probability of having no $x$-intersect is:



    $$1-frac12piint_mathbbR fracsqrtt^4+4t^2+1t^4+t^2+1 dt simeq 0,351.$$



    Reference : How many zeroes of a random polynomial are real?, A. Edelman and E. Kostlan, Bulletin of the AMS, Vol. 32, n.1, January 1995. Available on arXiv: https://arxiv.org/pdf/math/9501224.pdf



    The formula above is due to Kac (1943). I will let somebody else try to find a closed form, as there are poeple here much better than me at identifying and computing integrals.






    share|cite|improve this answer












    $endgroup$










    • 3




      $begingroup$
      This is an interesting way to look at it, but I disagree that this should be considered a “natural measure” on the space of quadratics. The sphere you're using is the Stiefel-1 manifold of the vector space of quadratics here, so far so good. But that vector space is per se not a Euclidean space; the Stiefel manifold is still defined but it is not a unit sphere. By using the monomial-expansion coefficients, you're picking an ultimately arbitrary scalar product which then gives rise to a measure on the Stiefel manifold as well.
      $endgroup$
      – leftaroundabout
      Jul 30 at 13:46











    • $begingroup$
      @leftroundabout: good catch, and you are completely right. I've modified my answer to highlight this kind of choices (turning things a bit differently -- the Euclidean structure is still there, but then there is an arbitrary choice of embedding of the sphere into the Euclidean space).
      $endgroup$
      – D. Thomine
      Jul 30 at 20:16










    • $begingroup$
      This is $1/(2 pi)$ times the solid angle of an oblique circular cone with base radius $2$, height $1$ and the distance between the center of the base and the foot of the altitude equal to $sqrt 3$. There is a known formula for the solid angle, which gives $$1 - frac alpha 2 pi K(1 - alpha^4) - frac alpha^5 2 pi Pi(1 - alpha^8, 1 - alpha^4)$$ in terms of $K(m)$ and $Pi(n, m)$, where $alpha = sqrt 2 - sqrt 3 hspace 1px$.
      $endgroup$
      – Maxim
      Jul 31 at 19:09



















    5
















    $begingroup$

    Since you used a computer, $a, b, c$ must have been in a restricted range. Try altering that range and see how it affects your answer. Even if you have a super computer with an enormous but still finite range of numbers, it will still tell you nothing about the case for all numbers.



    Even a dream computer without limits would have a problem as you cannot pick evenly from an infinite set.



    Consider a simpler problem: what proportion of positive integers have a digit $9$ in them? The super naive answer is $10%$ but even going as far as $100$ gives the larger answer $19%$. Now go to $1000$, $10000$, etc and you will find that the answer continues to grow. It is easy enough to prove that it grows without limit and approaches $100%$. So, in a sense, $100%$ of positive integers have a digit $9$.






    share|cite|improve this answer










    $endgroup$










    • 1




      $begingroup$
      Lets say he tests all numbers from (-100, 100), then (-1000, 1000), then (-10000, 10000), until he reaches 500 zeros. If all of those give you the same answer, then isn't it very highly likely you will get that answer no matter what numbers you choose? We can't know for sure if the answer is right, but we can know to a very high degree of probability can't we? Also, saying that the limit approaches 100% for the infinite series of numbers is not the same as saying the chance is 100% at any point, which is what you're saying when you say 100% of integers have a 9. It's untrue mathematically
      $endgroup$
      – YungGun
      Jul 29 at 16:29







    • 1




      $begingroup$
      No, whatever your finite limit is, however huge, it is still an insignificant fraction of all numbers. For example, before Wiles' proof of Fermat's theorem, it was known that any exception would be very large. However, this was not considered a proof. Another thing to note is that if there are infinitely many possibilities then $100%$ is not the same as certain.
      $endgroup$
      – badjohn
      Jul 29 at 19:29







    • 2




      $begingroup$
      @YungGun see also math.stackexchange.com/questions/514/….
      $endgroup$
      – Thom Smith
      Jul 29 at 20:17






    • 1




      $begingroup$
      The answer by nomadictype proves that the range does not influence the result. I don't see how your answer adds value.
      $endgroup$
      – Vincent
      Jul 31 at 2:55






    • 1




      $begingroup$
      nomadictype's samples are all cubes. D. Thomine uses another attractive approach and gets a different answer. That's the point. You cannot sample the whole infinite space uniformly. Different restrictions or distributions may give different results.
      $endgroup$
      – badjohn
      Jul 31 at 8:19


















    4
















    $begingroup$

    Other answers have done a good job at showing this mathematically, but I feel that a bit of visual explanation would help to solidify exactly why there is a difference in these two answers of $1/2$ and ~$3/8$.



    Below, I have made a graph of all quadratic equations of the form $a(x-b)^2 +c$, for every combination of $a$, $b$ and $c$ in the closed interval $[-4,4]$, with a step size of $0.5$. The exact numbers are not relevant to this answer (though it is relevant to say that the x-scale and y-scale are equal, and both are linear).



    For each parabola, I've only plotted a small section near the vertex. The line of each is colored according to how many x-intercepts it has: 0 is red, 1 is grey, and 2 is blue.



    graph of the search space for a(x-b)^2 +c



    A visual inspection reveals that there is roughly an equal number of red and blue parabolas, and both vastly outnumber the grey ones. The exact counts in this graph are:



    $$
    beginmatrix
    colorbluetextTwo & 2448 & 0.4982699 \
    colorgraytextOne & 289 & 0.05882353 \
    colorredtextZero & 2176 & 0.4429066 \
    endmatrix
    $$



    Now, let's look at the same search space, but using the form $ax^2 +bx+c$. The graph looks quite different:



    graph of the search space for ax^2 +bx+c



    Again the grey are outnumbered, but we see vastly more blue than red. The exact numbers here are:



    $$
    beginmatrix
    colorbluetextTwo & 3104 & 0.6317932 \
    colorgraytextOne & 65 & 0.0132302055 \
    colorredtextZero & 1744 & 0.3549766 \
    endmatrix
    $$



    As we can see, the 'wings' of this graph are exclusively blue, meaning that all such parabolas have two intercepts. This is what skews the result away from $1/2$.




    For those interested, the language I used to generate these images was Processing, and the code may be found here: https://pastebin.com/geLya3jQ. (Why? Mostly because I don't have much experience with Mathematica, etc.)






    share|cite|improve this answer










    $endgroup$






















      0
















      $begingroup$

      We need the probability that $b^2 < 4ac$. When $a$ and $c$ have opposite signs this condition is never satified; this occurs in 4 of the 8 octants of the problem domain. So we need only look at the other 4 octants. These are all related by symmetry, so we can choose one representative. Here we'll choose the octant $a in [0,n], b in [0,n], c in [0,n]$. The relevant volume of the domain is given by



      $$V = int_a=0^n int_c=0^n int_b=0^2sqrtac ,db ,dc ,da $$



      Carrying out the integration



      $$V = int_a=0^n int_c=0^n 2sqrtac ,dc ,da $$



      $$V = int_a=0^n frac43 sqrta n^3/2 ,da $$



      $$V = frac89 n^3/2 n^3/2 $$



      This is the volume of one octant; the volume for the 4 octants is then



      $$V = frac329 n^3 $$



      The volume of the entire domain is $(2n)^3 = 8n^3$



      Then the probability of having no x-intercept is



      $$p=fracfrac329 n^38n^3 = frac49 $$



      Note that the probability is independent of $n$.






      share|cite|improve this answer










      $endgroup$










      • 4




        $begingroup$
        Note that we could have $2sqrtac>n$ even if $a le n$ and $c le n$. So your integral isn't computing the volume of the correct region, but of something bigger. Perhaps this is why you've come up with a larger fraction than the OP...
        $endgroup$
        – Micah
        Jul 29 at 19:04












      Your Answer








      StackExchange.ready(function()
      var channelOptions =
      tags: "".split(" "),
      id: "69"
      ;
      initTagRenderer("".split(" "), "".split(" "), channelOptions);

      StackExchange.using("externalEditor", function()
      // Have to fire editor after snippets, if snippets enabled
      if (StackExchange.settings.snippets.snippetsEnabled)
      StackExchange.using("snippets", function()
      createEditor();
      );

      else
      createEditor();

      );

      function createEditor()
      StackExchange.prepareEditor(
      heartbeatType: 'answer',
      autoActivateHeartbeat: false,
      convertImagesToLinks: true,
      noModals: true,
      showLowRepImageUploadWarning: true,
      reputationToPostImages: 10,
      bindNavPrevention: true,
      postfix: "",
      imageUploader:
      brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
      contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/4.0/"u003ecc by-sa 4.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
      allowUrls: true
      ,
      noCode: true, onDemand: true,
      discardSelector: ".discard-answer"
      ,immediatelyShowMarkdownHelp:true
      );



      );














      draft saved

      draft discarded
















      StackExchange.ready(
      function ()
      StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3307156%2fdo-3-8-37-5-of-quadratics-have-no-x-intercepts%23new-answer', 'question_page');

      );

      Post as a guest















      Required, but never shown


























      8 Answers
      8






      active

      oldest

      votes








      8 Answers
      8






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      48
















      $begingroup$

      The problem isn't that there's no way to choose a random quadratic. The problem is that there's many ways, and there's no obvious reason to think of any of them as "the" way to pick one.



      For starters, even picking a "random number" is something you can do in many ways:



      • uniformly from some interval, say $(-1,1)$, or $(0, 1)$, or $(2,17)$,

      • from a normal distribution with any mean or variance,

      • from an exponential distribution with any mean,

      • from a Cauchy distribution,

      • from some weird arbitrary distribution you make up yourself

      (Note that "a number uniformly randomly chosen from all real numbers" is not possible, simply because the integral of the density function over all real numbers (i.e. the total probability) must be $1$, and no constant function does that.)



      Now, with that in mind, here are some ways you could pick a random quadratic:



      • choosing each of $a$, $b$ and $c$ randomly by any of the above methods (or some combination of them) and constructing $ax^2 + bx + c$,

      • choosing $(a, b)$ as the stationary point and a scaling factor $c$ (again, by any / several of the methods above) and writing $c(x - a)^2 + b$,

      • choosing $f(0)$, $f(1)$, $f(2)$ randomly and using the unique quadratic that goes through all three (of course, you could replace $0$, $1$, $2$ with any other three real numbers),

      • choosing $f(0)$, $f'(0)$, and $f''(0)$ randomly, and picking the quadratic that has those values (which is admittedly very similar to the first method, but not quite),

      • ... I could go on.

      All of these are plausible interpretations of "a random quadratic", depending on where the randomness is coming from. They will all (in general) produce different answers to questions like these.



      (And note that for the same reasons as before, you can't have any way of picking random quadratics that is "translation-invariant" in the sense that $f(x)$ and $f(x - a)$ are equally likely, or $f(x)$ and $f(x) + b$ are equally likely.)



      Now you could ask for your particular way of choosing a random quadratic, why the probability of having no x-intercepts is what you found it out to be. I think another of this question's answers points you in the right direction for that.






      share|cite|improve this answer












      $endgroup$










      • 15




        $begingroup$
        @YungGun it sounds like you want the coefficients a, b, c, and c to be sampled uniformly from the real numbers. But this is impossible because there is no uniform distribution over the real numbers. The integral of a constant function on the reals is either zero or infinite, never 1.
        $endgroup$
        – Thom Smith
        Jul 29 at 17:58






      • 12




        $begingroup$
        It converges to zero everywhere? I'm not sure what you're getting at.
        $endgroup$
        – Thom Smith
        Jul 29 at 19:11






      • 1




        $begingroup$
        @Joshua: A constant function is just f(x)=c. You're overthinking this.
        $endgroup$
        – MSalters
        Jul 30 at 8:27






      • 2




        $begingroup$
        Yes but then it's identically the constant function $f(x)=0$.
        $endgroup$
        – Jam
        Jul 30 at 14:02






      • 2




        $begingroup$
        @Falco: If you take the positive integers in the order $2,4,1,6,8,3,10,12,5,14,16,7,dots$, then $frac13$ of them are odd. But nobody would consider the positive integers in this order unless they were deliberately trying to construct a counterexample to something. On the other hand, if you asked 10 different mathematicians "what is the most natural way to construct a random quadratic", the procedures you'd get would probably lead to at least four different answers to this problem.
        $endgroup$
        – Micah
        Jul 31 at 17:08















      48
















      $begingroup$

      The problem isn't that there's no way to choose a random quadratic. The problem is that there's many ways, and there's no obvious reason to think of any of them as "the" way to pick one.



      For starters, even picking a "random number" is something you can do in many ways:



      • uniformly from some interval, say $(-1,1)$, or $(0, 1)$, or $(2,17)$,

      • from a normal distribution with any mean or variance,

      • from an exponential distribution with any mean,

      • from a Cauchy distribution,

      • from some weird arbitrary distribution you make up yourself

      (Note that "a number uniformly randomly chosen from all real numbers" is not possible, simply because the integral of the density function over all real numbers (i.e. the total probability) must be $1$, and no constant function does that.)



      Now, with that in mind, here are some ways you could pick a random quadratic:



      • choosing each of $a$, $b$ and $c$ randomly by any of the above methods (or some combination of them) and constructing $ax^2 + bx + c$,

      • choosing $(a, b)$ as the stationary point and a scaling factor $c$ (again, by any / several of the methods above) and writing $c(x - a)^2 + b$,

      • choosing $f(0)$, $f(1)$, $f(2)$ randomly and using the unique quadratic that goes through all three (of course, you could replace $0$, $1$, $2$ with any other three real numbers),

      • choosing $f(0)$, $f'(0)$, and $f''(0)$ randomly, and picking the quadratic that has those values (which is admittedly very similar to the first method, but not quite),

      • ... I could go on.

      All of these are plausible interpretations of "a random quadratic", depending on where the randomness is coming from. They will all (in general) produce different answers to questions like these.



      (And note that for the same reasons as before, you can't have any way of picking random quadratics that is "translation-invariant" in the sense that $f(x)$ and $f(x - a)$ are equally likely, or $f(x)$ and $f(x) + b$ are equally likely.)



      Now you could ask for your particular way of choosing a random quadratic, why the probability of having no x-intercepts is what you found it out to be. I think another of this question's answers points you in the right direction for that.






      share|cite|improve this answer












      $endgroup$










      • 15




        $begingroup$
        @YungGun it sounds like you want the coefficients a, b, c, and c to be sampled uniformly from the real numbers. But this is impossible because there is no uniform distribution over the real numbers. The integral of a constant function on the reals is either zero or infinite, never 1.
        $endgroup$
        – Thom Smith
        Jul 29 at 17:58






      • 12




        $begingroup$
        It converges to zero everywhere? I'm not sure what you're getting at.
        $endgroup$
        – Thom Smith
        Jul 29 at 19:11






      • 1




        $begingroup$
        @Joshua: A constant function is just f(x)=c. You're overthinking this.
        $endgroup$
        – MSalters
        Jul 30 at 8:27






      • 2




        $begingroup$
        Yes but then it's identically the constant function $f(x)=0$.
        $endgroup$
        – Jam
        Jul 30 at 14:02






      • 2




        $begingroup$
        @Falco: If you take the positive integers in the order $2,4,1,6,8,3,10,12,5,14,16,7,dots$, then $frac13$ of them are odd. But nobody would consider the positive integers in this order unless they were deliberately trying to construct a counterexample to something. On the other hand, if you asked 10 different mathematicians "what is the most natural way to construct a random quadratic", the procedures you'd get would probably lead to at least four different answers to this problem.
        $endgroup$
        – Micah
        Jul 31 at 17:08













      48














      48










      48







      $begingroup$

      The problem isn't that there's no way to choose a random quadratic. The problem is that there's many ways, and there's no obvious reason to think of any of them as "the" way to pick one.



      For starters, even picking a "random number" is something you can do in many ways:



      • uniformly from some interval, say $(-1,1)$, or $(0, 1)$, or $(2,17)$,

      • from a normal distribution with any mean or variance,

      • from an exponential distribution with any mean,

      • from a Cauchy distribution,

      • from some weird arbitrary distribution you make up yourself

      (Note that "a number uniformly randomly chosen from all real numbers" is not possible, simply because the integral of the density function over all real numbers (i.e. the total probability) must be $1$, and no constant function does that.)



      Now, with that in mind, here are some ways you could pick a random quadratic:



      • choosing each of $a$, $b$ and $c$ randomly by any of the above methods (or some combination of them) and constructing $ax^2 + bx + c$,

      • choosing $(a, b)$ as the stationary point and a scaling factor $c$ (again, by any / several of the methods above) and writing $c(x - a)^2 + b$,

      • choosing $f(0)$, $f(1)$, $f(2)$ randomly and using the unique quadratic that goes through all three (of course, you could replace $0$, $1$, $2$ with any other three real numbers),

      • choosing $f(0)$, $f'(0)$, and $f''(0)$ randomly, and picking the quadratic that has those values (which is admittedly very similar to the first method, but not quite),

      • ... I could go on.

      All of these are plausible interpretations of "a random quadratic", depending on where the randomness is coming from. They will all (in general) produce different answers to questions like these.



      (And note that for the same reasons as before, you can't have any way of picking random quadratics that is "translation-invariant" in the sense that $f(x)$ and $f(x - a)$ are equally likely, or $f(x)$ and $f(x) + b$ are equally likely.)



      Now you could ask for your particular way of choosing a random quadratic, why the probability of having no x-intercepts is what you found it out to be. I think another of this question's answers points you in the right direction for that.






      share|cite|improve this answer












      $endgroup$



      The problem isn't that there's no way to choose a random quadratic. The problem is that there's many ways, and there's no obvious reason to think of any of them as "the" way to pick one.



      For starters, even picking a "random number" is something you can do in many ways:



      • uniformly from some interval, say $(-1,1)$, or $(0, 1)$, or $(2,17)$,

      • from a normal distribution with any mean or variance,

      • from an exponential distribution with any mean,

      • from a Cauchy distribution,

      • from some weird arbitrary distribution you make up yourself

      (Note that "a number uniformly randomly chosen from all real numbers" is not possible, simply because the integral of the density function over all real numbers (i.e. the total probability) must be $1$, and no constant function does that.)



      Now, with that in mind, here are some ways you could pick a random quadratic:



      • choosing each of $a$, $b$ and $c$ randomly by any of the above methods (or some combination of them) and constructing $ax^2 + bx + c$,

      • choosing $(a, b)$ as the stationary point and a scaling factor $c$ (again, by any / several of the methods above) and writing $c(x - a)^2 + b$,

      • choosing $f(0)$, $f(1)$, $f(2)$ randomly and using the unique quadratic that goes through all three (of course, you could replace $0$, $1$, $2$ with any other three real numbers),

      • choosing $f(0)$, $f'(0)$, and $f''(0)$ randomly, and picking the quadratic that has those values (which is admittedly very similar to the first method, but not quite),

      • ... I could go on.

      All of these are plausible interpretations of "a random quadratic", depending on where the randomness is coming from. They will all (in general) produce different answers to questions like these.



      (And note that for the same reasons as before, you can't have any way of picking random quadratics that is "translation-invariant" in the sense that $f(x)$ and $f(x - a)$ are equally likely, or $f(x)$ and $f(x) + b$ are equally likely.)



      Now you could ask for your particular way of choosing a random quadratic, why the probability of having no x-intercepts is what you found it out to be. I think another of this question's answers points you in the right direction for that.







      share|cite|improve this answer















      share|cite|improve this answer




      share|cite|improve this answer








      edited Aug 4 at 6:49

























      answered Jul 29 at 16:10









      Ben MillwoodBen Millwood

      12k3 gold badges24 silver badges53 bronze badges




      12k3 gold badges24 silver badges53 bronze badges










      • 15




        $begingroup$
        @YungGun it sounds like you want the coefficients a, b, c, and c to be sampled uniformly from the real numbers. But this is impossible because there is no uniform distribution over the real numbers. The integral of a constant function on the reals is either zero or infinite, never 1.
        $endgroup$
        – Thom Smith
        Jul 29 at 17:58






      • 12




        $begingroup$
        It converges to zero everywhere? I'm not sure what you're getting at.
        $endgroup$
        – Thom Smith
        Jul 29 at 19:11






      • 1




        $begingroup$
        @Joshua: A constant function is just f(x)=c. You're overthinking this.
        $endgroup$
        – MSalters
        Jul 30 at 8:27






      • 2




        $begingroup$
        Yes but then it's identically the constant function $f(x)=0$.
        $endgroup$
        – Jam
        Jul 30 at 14:02






      • 2




        $begingroup$
        @Falco: If you take the positive integers in the order $2,4,1,6,8,3,10,12,5,14,16,7,dots$, then $frac13$ of them are odd. But nobody would consider the positive integers in this order unless they were deliberately trying to construct a counterexample to something. On the other hand, if you asked 10 different mathematicians "what is the most natural way to construct a random quadratic", the procedures you'd get would probably lead to at least four different answers to this problem.
        $endgroup$
        – Micah
        Jul 31 at 17:08












      • 15




        $begingroup$
        @YungGun it sounds like you want the coefficients a, b, c, and c to be sampled uniformly from the real numbers. But this is impossible because there is no uniform distribution over the real numbers. The integral of a constant function on the reals is either zero or infinite, never 1.
        $endgroup$
        – Thom Smith
        Jul 29 at 17:58






      • 12




        $begingroup$
        It converges to zero everywhere? I'm not sure what you're getting at.
        $endgroup$
        – Thom Smith
        Jul 29 at 19:11






      • 1




        $begingroup$
        @Joshua: A constant function is just f(x)=c. You're overthinking this.
        $endgroup$
        – MSalters
        Jul 30 at 8:27






      • 2




        $begingroup$
        Yes but then it's identically the constant function $f(x)=0$.
        $endgroup$
        – Jam
        Jul 30 at 14:02






      • 2




        $begingroup$
        @Falco: If you take the positive integers in the order $2,4,1,6,8,3,10,12,5,14,16,7,dots$, then $frac13$ of them are odd. But nobody would consider the positive integers in this order unless they were deliberately trying to construct a counterexample to something. On the other hand, if you asked 10 different mathematicians "what is the most natural way to construct a random quadratic", the procedures you'd get would probably lead to at least four different answers to this problem.
        $endgroup$
        – Micah
        Jul 31 at 17:08







      15




      15




      $begingroup$
      @YungGun it sounds like you want the coefficients a, b, c, and c to be sampled uniformly from the real numbers. But this is impossible because there is no uniform distribution over the real numbers. The integral of a constant function on the reals is either zero or infinite, never 1.
      $endgroup$
      – Thom Smith
      Jul 29 at 17:58




      $begingroup$
      @YungGun it sounds like you want the coefficients a, b, c, and c to be sampled uniformly from the real numbers. But this is impossible because there is no uniform distribution over the real numbers. The integral of a constant function on the reals is either zero or infinite, never 1.
      $endgroup$
      – Thom Smith
      Jul 29 at 17:58




      12




      12




      $begingroup$
      It converges to zero everywhere? I'm not sure what you're getting at.
      $endgroup$
      – Thom Smith
      Jul 29 at 19:11




      $begingroup$
      It converges to zero everywhere? I'm not sure what you're getting at.
      $endgroup$
      – Thom Smith
      Jul 29 at 19:11




      1




      1




      $begingroup$
      @Joshua: A constant function is just f(x)=c. You're overthinking this.
      $endgroup$
      – MSalters
      Jul 30 at 8:27




      $begingroup$
      @Joshua: A constant function is just f(x)=c. You're overthinking this.
      $endgroup$
      – MSalters
      Jul 30 at 8:27




      2




      2




      $begingroup$
      Yes but then it's identically the constant function $f(x)=0$.
      $endgroup$
      – Jam
      Jul 30 at 14:02




      $begingroup$
      Yes but then it's identically the constant function $f(x)=0$.
      $endgroup$
      – Jam
      Jul 30 at 14:02




      2




      2




      $begingroup$
      @Falco: If you take the positive integers in the order $2,4,1,6,8,3,10,12,5,14,16,7,dots$, then $frac13$ of them are odd. But nobody would consider the positive integers in this order unless they were deliberately trying to construct a counterexample to something. On the other hand, if you asked 10 different mathematicians "what is the most natural way to construct a random quadratic", the procedures you'd get would probably lead to at least four different answers to this problem.
      $endgroup$
      – Micah
      Jul 31 at 17:08




      $begingroup$
      @Falco: If you take the positive integers in the order $2,4,1,6,8,3,10,12,5,14,16,7,dots$, then $frac13$ of them are odd. But nobody would consider the positive integers in this order unless they were deliberately trying to construct a counterexample to something. On the other hand, if you asked 10 different mathematicians "what is the most natural way to construct a random quadratic", the procedures you'd get would probably lead to at least four different answers to this problem.
      $endgroup$
      – Micah
      Jul 31 at 17:08













      44
















      $begingroup$

      It's helpful to think of each quadratic polynomial as corresponding to a point in "coefficient space", an abstract 3D space whose coordinates are $(a,b,c)$. The question "What fraction of quadratic polynomials have no $x$-intercept?" can then be rephrased as "What fraction of coefficient space lies in the region $b^2 < 4 a c$?"



      The problem is, of course, that this "coefficient space" has an infinite volume: $a$, $b$, or $c$ can be arbitrarily large. What's more, the region of coefficient space corresponding to polynomials without intercepts is also infinitely large: for any polynomial without an $x$-intercept, you can multiply it by any real number and get another polynomial without an $x$-intercept. And if mathematics has taught us anything, it's that if we try to divide ∞ by ∞ we cannot expect a meaningful result.



      You can, however, place bounds on the values of $a$, $b$, and $c$, so that these volumes of "coefficient space" are finite. In your code, you picked the quantities $(a, b, c)$ with uniform probability from the range $(-10^5, 10^5)$. This corresponds to the region of coefficient space below:



      enter image description here



      Mathematica (which I used to make this plot), tells me that the fraction of this cube that is filled is
      $$
      frac31 - 6 ln 272 = 0.3727932905... neq frac38.
      $$

      So the ratio you found "experimentally" is not actually equal to 3/8, but it's pretty close.



      On the other hand, you could have also decided to pick all your coefficients such that $a^2 + b^2 + c^2 < (10^5)^2$. This would correspond to allowing $a$, $b$, and $c$ to lie in some spherical region of "coefficient space". Spheres are nice, right? Everybody likes spheres.



      enter image description here



      The fraction of this region out of the allowed spherical volume in coefficient space is (again, relying on Mathematica) is only about 0.3514..., noticeably less than 3/8. The region of coefficients you allow, and how you parametrize them, turns out to make a difference in what your final answer is (which is what some of the other answers are trying to point out.)






      share|cite|improve this answer










      $endgroup$














      • $begingroup$
        Is the fraction dependent on the size of the structure?
        $endgroup$
        – M.Herzkamp
        Jul 30 at 9:09






      • 2




        $begingroup$
        @M.Herzkamp: No, so long as you scale the volume uniformly in all directions. This is because of the scaling properties I mentioned: when $a x^2 + b x + c$ has no intercept, so does $k ax ^2 + kb x + kc$ for any value of $k$.
        $endgroup$
        – Michael Seifert
        Jul 30 at 11:55






      • 1




        $begingroup$
        Does the sequence converge as the radius of the coeffecient space increases toward infinity?
        $endgroup$
        – Paul Belanger
        Jul 31 at 12:54
















      44
















      $begingroup$

      It's helpful to think of each quadratic polynomial as corresponding to a point in "coefficient space", an abstract 3D space whose coordinates are $(a,b,c)$. The question "What fraction of quadratic polynomials have no $x$-intercept?" can then be rephrased as "What fraction of coefficient space lies in the region $b^2 < 4 a c$?"



      The problem is, of course, that this "coefficient space" has an infinite volume: $a$, $b$, or $c$ can be arbitrarily large. What's more, the region of coefficient space corresponding to polynomials without intercepts is also infinitely large: for any polynomial without an $x$-intercept, you can multiply it by any real number and get another polynomial without an $x$-intercept. And if mathematics has taught us anything, it's that if we try to divide ∞ by ∞ we cannot expect a meaningful result.



      You can, however, place bounds on the values of $a$, $b$, and $c$, so that these volumes of "coefficient space" are finite. In your code, you picked the quantities $(a, b, c)$ with uniform probability from the range $(-10^5, 10^5)$. This corresponds to the region of coefficient space below:



      enter image description here



      Mathematica (which I used to make this plot), tells me that the fraction of this cube that is filled is
      $$
      frac31 - 6 ln 272 = 0.3727932905... neq frac38.
      $$

      So the ratio you found "experimentally" is not actually equal to 3/8, but it's pretty close.



      On the other hand, you could have also decided to pick all your coefficients such that $a^2 + b^2 + c^2 < (10^5)^2$. This would correspond to allowing $a$, $b$, and $c$ to lie in some spherical region of "coefficient space". Spheres are nice, right? Everybody likes spheres.



      enter image description here



      The fraction of this region out of the allowed spherical volume in coefficient space is (again, relying on Mathematica) is only about 0.3514..., noticeably less than 3/8. The region of coefficients you allow, and how you parametrize them, turns out to make a difference in what your final answer is (which is what some of the other answers are trying to point out.)






      share|cite|improve this answer










      $endgroup$














      • $begingroup$
        Is the fraction dependent on the size of the structure?
        $endgroup$
        – M.Herzkamp
        Jul 30 at 9:09






      • 2




        $begingroup$
        @M.Herzkamp: No, so long as you scale the volume uniformly in all directions. This is because of the scaling properties I mentioned: when $a x^2 + b x + c$ has no intercept, so does $k ax ^2 + kb x + kc$ for any value of $k$.
        $endgroup$
        – Michael Seifert
        Jul 30 at 11:55






      • 1




        $begingroup$
        Does the sequence converge as the radius of the coeffecient space increases toward infinity?
        $endgroup$
        – Paul Belanger
        Jul 31 at 12:54














      44














      44










      44







      $begingroup$

      It's helpful to think of each quadratic polynomial as corresponding to a point in "coefficient space", an abstract 3D space whose coordinates are $(a,b,c)$. The question "What fraction of quadratic polynomials have no $x$-intercept?" can then be rephrased as "What fraction of coefficient space lies in the region $b^2 < 4 a c$?"



      The problem is, of course, that this "coefficient space" has an infinite volume: $a$, $b$, or $c$ can be arbitrarily large. What's more, the region of coefficient space corresponding to polynomials without intercepts is also infinitely large: for any polynomial without an $x$-intercept, you can multiply it by any real number and get another polynomial without an $x$-intercept. And if mathematics has taught us anything, it's that if we try to divide ∞ by ∞ we cannot expect a meaningful result.



      You can, however, place bounds on the values of $a$, $b$, and $c$, so that these volumes of "coefficient space" are finite. In your code, you picked the quantities $(a, b, c)$ with uniform probability from the range $(-10^5, 10^5)$. This corresponds to the region of coefficient space below:



      enter image description here



      Mathematica (which I used to make this plot), tells me that the fraction of this cube that is filled is
      $$
      frac31 - 6 ln 272 = 0.3727932905... neq frac38.
      $$

      So the ratio you found "experimentally" is not actually equal to 3/8, but it's pretty close.



      On the other hand, you could have also decided to pick all your coefficients such that $a^2 + b^2 + c^2 < (10^5)^2$. This would correspond to allowing $a$, $b$, and $c$ to lie in some spherical region of "coefficient space". Spheres are nice, right? Everybody likes spheres.



      enter image description here



      The fraction of this region out of the allowed spherical volume in coefficient space is (again, relying on Mathematica) is only about 0.3514..., noticeably less than 3/8. The region of coefficients you allow, and how you parametrize them, turns out to make a difference in what your final answer is (which is what some of the other answers are trying to point out.)






      share|cite|improve this answer










      $endgroup$



      It's helpful to think of each quadratic polynomial as corresponding to a point in "coefficient space", an abstract 3D space whose coordinates are $(a,b,c)$. The question "What fraction of quadratic polynomials have no $x$-intercept?" can then be rephrased as "What fraction of coefficient space lies in the region $b^2 < 4 a c$?"



      The problem is, of course, that this "coefficient space" has an infinite volume: $a$, $b$, or $c$ can be arbitrarily large. What's more, the region of coefficient space corresponding to polynomials without intercepts is also infinitely large: for any polynomial without an $x$-intercept, you can multiply it by any real number and get another polynomial without an $x$-intercept. And if mathematics has taught us anything, it's that if we try to divide ∞ by ∞ we cannot expect a meaningful result.



      You can, however, place bounds on the values of $a$, $b$, and $c$, so that these volumes of "coefficient space" are finite. In your code, you picked the quantities $(a, b, c)$ with uniform probability from the range $(-10^5, 10^5)$. This corresponds to the region of coefficient space below:



      enter image description here



      Mathematica (which I used to make this plot), tells me that the fraction of this cube that is filled is
      $$
      frac31 - 6 ln 272 = 0.3727932905... neq frac38.
      $$

      So the ratio you found "experimentally" is not actually equal to 3/8, but it's pretty close.



      On the other hand, you could have also decided to pick all your coefficients such that $a^2 + b^2 + c^2 < (10^5)^2$. This would correspond to allowing $a$, $b$, and $c$ to lie in some spherical region of "coefficient space". Spheres are nice, right? Everybody likes spheres.



      enter image description here



      The fraction of this region out of the allowed spherical volume in coefficient space is (again, relying on Mathematica) is only about 0.3514..., noticeably less than 3/8. The region of coefficients you allow, and how you parametrize them, turns out to make a difference in what your final answer is (which is what some of the other answers are trying to point out.)







      share|cite|improve this answer













      share|cite|improve this answer




      share|cite|improve this answer










      answered Jul 29 at 20:37









      Michael SeifertMichael Seifert

      6,1118 silver badges30 bronze badges




      6,1118 silver badges30 bronze badges














      • $begingroup$
        Is the fraction dependent on the size of the structure?
        $endgroup$
        – M.Herzkamp
        Jul 30 at 9:09






      • 2




        $begingroup$
        @M.Herzkamp: No, so long as you scale the volume uniformly in all directions. This is because of the scaling properties I mentioned: when $a x^2 + b x + c$ has no intercept, so does $k ax ^2 + kb x + kc$ for any value of $k$.
        $endgroup$
        – Michael Seifert
        Jul 30 at 11:55






      • 1




        $begingroup$
        Does the sequence converge as the radius of the coeffecient space increases toward infinity?
        $endgroup$
        – Paul Belanger
        Jul 31 at 12:54

















      • $begingroup$
        Is the fraction dependent on the size of the structure?
        $endgroup$
        – M.Herzkamp
        Jul 30 at 9:09






      • 2




        $begingroup$
        @M.Herzkamp: No, so long as you scale the volume uniformly in all directions. This is because of the scaling properties I mentioned: when $a x^2 + b x + c$ has no intercept, so does $k ax ^2 + kb x + kc$ for any value of $k$.
        $endgroup$
        – Michael Seifert
        Jul 30 at 11:55






      • 1




        $begingroup$
        Does the sequence converge as the radius of the coeffecient space increases toward infinity?
        $endgroup$
        – Paul Belanger
        Jul 31 at 12:54
















      $begingroup$
      Is the fraction dependent on the size of the structure?
      $endgroup$
      – M.Herzkamp
      Jul 30 at 9:09




      $begingroup$
      Is the fraction dependent on the size of the structure?
      $endgroup$
      – M.Herzkamp
      Jul 30 at 9:09




      2




      2




      $begingroup$
      @M.Herzkamp: No, so long as you scale the volume uniformly in all directions. This is because of the scaling properties I mentioned: when $a x^2 + b x + c$ has no intercept, so does $k ax ^2 + kb x + kc$ for any value of $k$.
      $endgroup$
      – Michael Seifert
      Jul 30 at 11:55




      $begingroup$
      @M.Herzkamp: No, so long as you scale the volume uniformly in all directions. This is because of the scaling properties I mentioned: when $a x^2 + b x + c$ has no intercept, so does $k ax ^2 + kb x + kc$ for any value of $k$.
      $endgroup$
      – Michael Seifert
      Jul 30 at 11:55




      1




      1




      $begingroup$
      Does the sequence converge as the radius of the coeffecient space increases toward infinity?
      $endgroup$
      – Paul Belanger
      Jul 31 at 12:54





      $begingroup$
      Does the sequence converge as the radius of the coeffecient space increases toward infinity?
      $endgroup$
      – Paul Belanger
      Jul 31 at 12:54












      27
















      $begingroup$

      There are infinitely many quadratics, so the number you get in the end is completely up to how "sample" from the set of all possible curves. For example, if you sample $ain[1,2]$, and $cin[-2, -1]$, then all the curves will have a real intercept. On the other hand, if $a,cin [1,2]$ and $bin[-1,1]$, then none of the curves will have a real intercept.



      Edit:



      Now that you said that $a,b,c$ are all uniformly distributed on $[-n, n]$, your problem translates to this:



      • Each selection of $(a,b,c)$ is one point in the cube $C=(-n, n)times(-n, n)times(-n,n)$.

      • Each selection is equally likely.

      • Therefore, you are really asking about the volume of the set $ b^2-4ac geq 0$. Once you get that volume, the ration of that volume to the volume of $C$ is what you need.





      share|cite|improve this answer












      $endgroup$










      • 13




        $begingroup$
        @Simplex1 No I would suggest that there is no way to "just randomize". You have to specify the range and distribution, but once you do that, it is perfectly meaningful to randomize. But you won't get an answer of "x% of all quadratics have a real intercept". You will get an answer of "If a random quadratic is picked in such and such way, then the probability of it having a real intercept is x%".
        $endgroup$
        – 5xum
        Jul 29 at 7:53






      • 8




        $begingroup$
        What does "properly depicts a random set of coefficients" mean? I'm not trying to f*** with you here. I honestly don't know what you mean by that. That is, I know vaguely what you mean, but mathematics doesn't deal with vague meanings, we can only answer a question if we know exactly what it means.
        $endgroup$
        – 5xum
        Jul 29 at 8:00







      • 6




        $begingroup$
        @Simplex1 I'm really not trying to be annoying, but what you wrote is not mathematically meaningful. "No bias towards the values of the coefficients" is meaningless.
        $endgroup$
        – 5xum
        Jul 29 at 8:12







      • 6




        $begingroup$
        @Simplex1 Unoformly over what?
        $endgroup$
        – 5xum
        Jul 29 at 8:15






      • 5




        $begingroup$
        @YungGun What "some" finite range?
        $endgroup$
        – 5xum
        Jul 29 at 18:32















      27
















      $begingroup$

      There are infinitely many quadratics, so the number you get in the end is completely up to how "sample" from the set of all possible curves. For example, if you sample $ain[1,2]$, and $cin[-2, -1]$, then all the curves will have a real intercept. On the other hand, if $a,cin [1,2]$ and $bin[-1,1]$, then none of the curves will have a real intercept.



      Edit:



      Now that you said that $a,b,c$ are all uniformly distributed on $[-n, n]$, your problem translates to this:



      • Each selection of $(a,b,c)$ is one point in the cube $C=(-n, n)times(-n, n)times(-n,n)$.

      • Each selection is equally likely.

      • Therefore, you are really asking about the volume of the set $ b^2-4ac geq 0$. Once you get that volume, the ration of that volume to the volume of $C$ is what you need.





      share|cite|improve this answer












      $endgroup$










      • 13




        $begingroup$
        @Simplex1 No I would suggest that there is no way to "just randomize". You have to specify the range and distribution, but once you do that, it is perfectly meaningful to randomize. But you won't get an answer of "x% of all quadratics have a real intercept". You will get an answer of "If a random quadratic is picked in such and such way, then the probability of it having a real intercept is x%".
        $endgroup$
        – 5xum
        Jul 29 at 7:53






      • 8




        $begingroup$
        What does "properly depicts a random set of coefficients" mean? I'm not trying to f*** with you here. I honestly don't know what you mean by that. That is, I know vaguely what you mean, but mathematics doesn't deal with vague meanings, we can only answer a question if we know exactly what it means.
        $endgroup$
        – 5xum
        Jul 29 at 8:00







      • 6




        $begingroup$
        @Simplex1 I'm really not trying to be annoying, but what you wrote is not mathematically meaningful. "No bias towards the values of the coefficients" is meaningless.
        $endgroup$
        – 5xum
        Jul 29 at 8:12







      • 6




        $begingroup$
        @Simplex1 Unoformly over what?
        $endgroup$
        – 5xum
        Jul 29 at 8:15






      • 5




        $begingroup$
        @YungGun What "some" finite range?
        $endgroup$
        – 5xum
        Jul 29 at 18:32













      27














      27










      27







      $begingroup$

      There are infinitely many quadratics, so the number you get in the end is completely up to how "sample" from the set of all possible curves. For example, if you sample $ain[1,2]$, and $cin[-2, -1]$, then all the curves will have a real intercept. On the other hand, if $a,cin [1,2]$ and $bin[-1,1]$, then none of the curves will have a real intercept.



      Edit:



      Now that you said that $a,b,c$ are all uniformly distributed on $[-n, n]$, your problem translates to this:



      • Each selection of $(a,b,c)$ is one point in the cube $C=(-n, n)times(-n, n)times(-n,n)$.

      • Each selection is equally likely.

      • Therefore, you are really asking about the volume of the set $ b^2-4ac geq 0$. Once you get that volume, the ration of that volume to the volume of $C$ is what you need.





      share|cite|improve this answer












      $endgroup$



      There are infinitely many quadratics, so the number you get in the end is completely up to how "sample" from the set of all possible curves. For example, if you sample $ain[1,2]$, and $cin[-2, -1]$, then all the curves will have a real intercept. On the other hand, if $a,cin [1,2]$ and $bin[-1,1]$, then none of the curves will have a real intercept.



      Edit:



      Now that you said that $a,b,c$ are all uniformly distributed on $[-n, n]$, your problem translates to this:



      • Each selection of $(a,b,c)$ is one point in the cube $C=(-n, n)times(-n, n)times(-n,n)$.

      • Each selection is equally likely.

      • Therefore, you are really asking about the volume of the set $ b^2-4ac geq 0$. Once you get that volume, the ration of that volume to the volume of $C$ is what you need.






      share|cite|improve this answer















      share|cite|improve this answer




      share|cite|improve this answer








      edited Jul 29 at 8:00

























      answered Jul 29 at 7:35









      5xum5xum

      98k5 gold badges102 silver badges169 bronze badges




      98k5 gold badges102 silver badges169 bronze badges










      • 13




        $begingroup$
        @Simplex1 No I would suggest that there is no way to "just randomize". You have to specify the range and distribution, but once you do that, it is perfectly meaningful to randomize. But you won't get an answer of "x% of all quadratics have a real intercept". You will get an answer of "If a random quadratic is picked in such and such way, then the probability of it having a real intercept is x%".
        $endgroup$
        – 5xum
        Jul 29 at 7:53






      • 8




        $begingroup$
        What does "properly depicts a random set of coefficients" mean? I'm not trying to f*** with you here. I honestly don't know what you mean by that. That is, I know vaguely what you mean, but mathematics doesn't deal with vague meanings, we can only answer a question if we know exactly what it means.
        $endgroup$
        – 5xum
        Jul 29 at 8:00







      • 6




        $begingroup$
        @Simplex1 I'm really not trying to be annoying, but what you wrote is not mathematically meaningful. "No bias towards the values of the coefficients" is meaningless.
        $endgroup$
        – 5xum
        Jul 29 at 8:12







      • 6




        $begingroup$
        @Simplex1 Unoformly over what?
        $endgroup$
        – 5xum
        Jul 29 at 8:15






      • 5




        $begingroup$
        @YungGun What "some" finite range?
        $endgroup$
        – 5xum
        Jul 29 at 18:32












      • 13




        $begingroup$
        @Simplex1 No I would suggest that there is no way to "just randomize". You have to specify the range and distribution, but once you do that, it is perfectly meaningful to randomize. But you won't get an answer of "x% of all quadratics have a real intercept". You will get an answer of "If a random quadratic is picked in such and such way, then the probability of it having a real intercept is x%".
        $endgroup$
        – 5xum
        Jul 29 at 7:53






      • 8




        $begingroup$
        What does "properly depicts a random set of coefficients" mean? I'm not trying to f*** with you here. I honestly don't know what you mean by that. That is, I know vaguely what you mean, but mathematics doesn't deal with vague meanings, we can only answer a question if we know exactly what it means.
        $endgroup$
        – 5xum
        Jul 29 at 8:00







      • 6




        $begingroup$
        @Simplex1 I'm really not trying to be annoying, but what you wrote is not mathematically meaningful. "No bias towards the values of the coefficients" is meaningless.
        $endgroup$
        – 5xum
        Jul 29 at 8:12







      • 6




        $begingroup$
        @Simplex1 Unoformly over what?
        $endgroup$
        – 5xum
        Jul 29 at 8:15






      • 5




        $begingroup$
        @YungGun What "some" finite range?
        $endgroup$
        – 5xum
        Jul 29 at 18:32







      13




      13




      $begingroup$
      @Simplex1 No I would suggest that there is no way to "just randomize". You have to specify the range and distribution, but once you do that, it is perfectly meaningful to randomize. But you won't get an answer of "x% of all quadratics have a real intercept". You will get an answer of "If a random quadratic is picked in such and such way, then the probability of it having a real intercept is x%".
      $endgroup$
      – 5xum
      Jul 29 at 7:53




      $begingroup$
      @Simplex1 No I would suggest that there is no way to "just randomize". You have to specify the range and distribution, but once you do that, it is perfectly meaningful to randomize. But you won't get an answer of "x% of all quadratics have a real intercept". You will get an answer of "If a random quadratic is picked in such and such way, then the probability of it having a real intercept is x%".
      $endgroup$
      – 5xum
      Jul 29 at 7:53




      8




      8




      $begingroup$
      What does "properly depicts a random set of coefficients" mean? I'm not trying to f*** with you here. I honestly don't know what you mean by that. That is, I know vaguely what you mean, but mathematics doesn't deal with vague meanings, we can only answer a question if we know exactly what it means.
      $endgroup$
      – 5xum
      Jul 29 at 8:00





      $begingroup$
      What does "properly depicts a random set of coefficients" mean? I'm not trying to f*** with you here. I honestly don't know what you mean by that. That is, I know vaguely what you mean, but mathematics doesn't deal with vague meanings, we can only answer a question if we know exactly what it means.
      $endgroup$
      – 5xum
      Jul 29 at 8:00





      6




      6




      $begingroup$
      @Simplex1 I'm really not trying to be annoying, but what you wrote is not mathematically meaningful. "No bias towards the values of the coefficients" is meaningless.
      $endgroup$
      – 5xum
      Jul 29 at 8:12





      $begingroup$
      @Simplex1 I'm really not trying to be annoying, but what you wrote is not mathematically meaningful. "No bias towards the values of the coefficients" is meaningless.
      $endgroup$
      – 5xum
      Jul 29 at 8:12





      6




      6




      $begingroup$
      @Simplex1 Unoformly over what?
      $endgroup$
      – 5xum
      Jul 29 at 8:15




      $begingroup$
      @Simplex1 Unoformly over what?
      $endgroup$
      – 5xum
      Jul 29 at 8:15




      5




      5




      $begingroup$
      @YungGun What "some" finite range?
      $endgroup$
      – 5xum
      Jul 29 at 18:32




      $begingroup$
      @YungGun What "some" finite range?
      $endgroup$
      – 5xum
      Jul 29 at 18:32











      15
















      $begingroup$

      Assume $a$,$b$,$c$ are independent and uniform in $(-n,n)$. Denote the probability that the quadratic has no $x$-intercept by $p = P[b^2 < 4ac]$.
      Since $b^2 < 4ac$ can only be true when $ac > 0$, which happens in $4$ of the $8$ possible sign assignments on $a,b,c$, and otherwise the condition is symmetric with respect to signs,
      we have
      beginalign
      p
      &= frac12 P[b^2 < 4ac mid a,b,c > 0] \
      &= frac12 P[(b/n)^2 < 4(a/n)(c/n) mid a,b,c > 0] \
      &= frac12 P[y^2 < 4xz]
      endalign

      where $x,y,z$ are independent and uniform in $(0,1)$. In particular, $p$ does not depend on $n$.
      The last probability is given by the integral
      $$
      int_0^1 int_0^1 int_0^min2sqrtxz,1 1 ; dy ; dz ; dx
      = frac3136 - fracln 26 approx 0.745587
      $$

      (Wolfram Alpha). Hence
      $$
      p = frac3172 - fracln 212 approx 0.372793,
      $$

      very close to the conjectured $0.375$.






      share|cite|improve this answer










      $endgroup$



















        15
















        $begingroup$

        Assume $a$,$b$,$c$ are independent and uniform in $(-n,n)$. Denote the probability that the quadratic has no $x$-intercept by $p = P[b^2 < 4ac]$.
        Since $b^2 < 4ac$ can only be true when $ac > 0$, which happens in $4$ of the $8$ possible sign assignments on $a,b,c$, and otherwise the condition is symmetric with respect to signs,
        we have
        beginalign
        p
        &= frac12 P[b^2 < 4ac mid a,b,c > 0] \
        &= frac12 P[(b/n)^2 < 4(a/n)(c/n) mid a,b,c > 0] \
        &= frac12 P[y^2 < 4xz]
        endalign

        where $x,y,z$ are independent and uniform in $(0,1)$. In particular, $p$ does not depend on $n$.
        The last probability is given by the integral
        $$
        int_0^1 int_0^1 int_0^min2sqrtxz,1 1 ; dy ; dz ; dx
        = frac3136 - fracln 26 approx 0.745587
        $$

        (Wolfram Alpha). Hence
        $$
        p = frac3172 - fracln 212 approx 0.372793,
        $$

        very close to the conjectured $0.375$.






        share|cite|improve this answer










        $endgroup$

















          15














          15










          15







          $begingroup$

          Assume $a$,$b$,$c$ are independent and uniform in $(-n,n)$. Denote the probability that the quadratic has no $x$-intercept by $p = P[b^2 < 4ac]$.
          Since $b^2 < 4ac$ can only be true when $ac > 0$, which happens in $4$ of the $8$ possible sign assignments on $a,b,c$, and otherwise the condition is symmetric with respect to signs,
          we have
          beginalign
          p
          &= frac12 P[b^2 < 4ac mid a,b,c > 0] \
          &= frac12 P[(b/n)^2 < 4(a/n)(c/n) mid a,b,c > 0] \
          &= frac12 P[y^2 < 4xz]
          endalign

          where $x,y,z$ are independent and uniform in $(0,1)$. In particular, $p$ does not depend on $n$.
          The last probability is given by the integral
          $$
          int_0^1 int_0^1 int_0^min2sqrtxz,1 1 ; dy ; dz ; dx
          = frac3136 - fracln 26 approx 0.745587
          $$

          (Wolfram Alpha). Hence
          $$
          p = frac3172 - fracln 212 approx 0.372793,
          $$

          very close to the conjectured $0.375$.






          share|cite|improve this answer










          $endgroup$



          Assume $a$,$b$,$c$ are independent and uniform in $(-n,n)$. Denote the probability that the quadratic has no $x$-intercept by $p = P[b^2 < 4ac]$.
          Since $b^2 < 4ac$ can only be true when $ac > 0$, which happens in $4$ of the $8$ possible sign assignments on $a,b,c$, and otherwise the condition is symmetric with respect to signs,
          we have
          beginalign
          p
          &= frac12 P[b^2 < 4ac mid a,b,c > 0] \
          &= frac12 P[(b/n)^2 < 4(a/n)(c/n) mid a,b,c > 0] \
          &= frac12 P[y^2 < 4xz]
          endalign

          where $x,y,z$ are independent and uniform in $(0,1)$. In particular, $p$ does not depend on $n$.
          The last probability is given by the integral
          $$
          int_0^1 int_0^1 int_0^min2sqrtxz,1 1 ; dy ; dz ; dx
          = frac3136 - fracln 26 approx 0.745587
          $$

          (Wolfram Alpha). Hence
          $$
          p = frac3172 - fracln 212 approx 0.372793,
          $$

          very close to the conjectured $0.375$.







          share|cite|improve this answer













          share|cite|improve this answer




          share|cite|improve this answer










          answered Jul 30 at 1:52









          nomadictypenomadictype

          3851 silver badge4 bronze badges




          3851 silver badge4 bronze badges
























              8
















              $begingroup$

              While other answers have pointed out the problem of defining a random quadratic, I will argue that there are, indeed, rather interesting measures on the quadratics.



              Let $ax^2+bx+c=0$ be the equation of a parabola. Il we multiply all the coefficients by some constant, we get e.g.



              $$10ax^2+10bx+10c=0,$$



              which is another equation of the same curve. Hence, instead of taking for $(a,b,c)$ general real numbers, we can normalize, for instance by adding the constraint $a^2+b^2+c^2 = 1$. Then $(a,b,c)$ lie on a sphere, on which there is a natural probability measure: the uniform measure. The simplest way to simulate this setting is to take for $a$, $b$ and $c$ three independent standard Gaussians; then $(a,b,c)/ |a^2+b^2+c^2|$ is uniform on the unit sphere.



              Note that (as per Leftaroundabout's comment) this is just one possible normalization, and thus one possible measure on quadratics, called Kac's random polynomial. There are other reasonable measures. However, this one in particular gives rise to some interesting and not too difficult pieces of mathematics.



              Anyway, whichever normalization you choose, this highlights a feature of this problem which is not very visible in Michael Seifert's answer: the quadratics having no $x$-intercept are exactly those whose coefficients satisfy $b^2-4ac<0$, which is, in parameter space, the equation of a filled cone (try to plot it on Mathematica and to move the object around). The point of view above interprets "the proportion of quadrics having no $x$-intercept" as "the proportion of directions in parameter space corresponding to quadrics having no $x$-intercept", or equivalently "the proportion of quadratics with $a^2+b^2+c^2 leq 1$ having no $x$-intercept".



              Under this setting, and if I'm not mistaken, a quick computation gives me that the probability of having no $x$-intersect is:



              $$1-frac12piint_mathbbR fracsqrtt^4+4t^2+1t^4+t^2+1 dt simeq 0,351.$$



              Reference : How many zeroes of a random polynomial are real?, A. Edelman and E. Kostlan, Bulletin of the AMS, Vol. 32, n.1, January 1995. Available on arXiv: https://arxiv.org/pdf/math/9501224.pdf



              The formula above is due to Kac (1943). I will let somebody else try to find a closed form, as there are poeple here much better than me at identifying and computing integrals.






              share|cite|improve this answer












              $endgroup$










              • 3




                $begingroup$
                This is an interesting way to look at it, but I disagree that this should be considered a “natural measure” on the space of quadratics. The sphere you're using is the Stiefel-1 manifold of the vector space of quadratics here, so far so good. But that vector space is per se not a Euclidean space; the Stiefel manifold is still defined but it is not a unit sphere. By using the monomial-expansion coefficients, you're picking an ultimately arbitrary scalar product which then gives rise to a measure on the Stiefel manifold as well.
                $endgroup$
                – leftaroundabout
                Jul 30 at 13:46











              • $begingroup$
                @leftroundabout: good catch, and you are completely right. I've modified my answer to highlight this kind of choices (turning things a bit differently -- the Euclidean structure is still there, but then there is an arbitrary choice of embedding of the sphere into the Euclidean space).
                $endgroup$
                – D. Thomine
                Jul 30 at 20:16










              • $begingroup$
                This is $1/(2 pi)$ times the solid angle of an oblique circular cone with base radius $2$, height $1$ and the distance between the center of the base and the foot of the altitude equal to $sqrt 3$. There is a known formula for the solid angle, which gives $$1 - frac alpha 2 pi K(1 - alpha^4) - frac alpha^5 2 pi Pi(1 - alpha^8, 1 - alpha^4)$$ in terms of $K(m)$ and $Pi(n, m)$, where $alpha = sqrt 2 - sqrt 3 hspace 1px$.
                $endgroup$
                – Maxim
                Jul 31 at 19:09
















              8
















              $begingroup$

              While other answers have pointed out the problem of defining a random quadratic, I will argue that there are, indeed, rather interesting measures on the quadratics.



              Let $ax^2+bx+c=0$ be the equation of a parabola. Il we multiply all the coefficients by some constant, we get e.g.



              $$10ax^2+10bx+10c=0,$$



              which is another equation of the same curve. Hence, instead of taking for $(a,b,c)$ general real numbers, we can normalize, for instance by adding the constraint $a^2+b^2+c^2 = 1$. Then $(a,b,c)$ lie on a sphere, on which there is a natural probability measure: the uniform measure. The simplest way to simulate this setting is to take for $a$, $b$ and $c$ three independent standard Gaussians; then $(a,b,c)/ |a^2+b^2+c^2|$ is uniform on the unit sphere.



              Note that (as per Leftaroundabout's comment) this is just one possible normalization, and thus one possible measure on quadratics, called Kac's random polynomial. There are other reasonable measures. However, this one in particular gives rise to some interesting and not too difficult pieces of mathematics.



              Anyway, whichever normalization you choose, this highlights a feature of this problem which is not very visible in Michael Seifert's answer: the quadratics having no $x$-intercept are exactly those whose coefficients satisfy $b^2-4ac<0$, which is, in parameter space, the equation of a filled cone (try to plot it on Mathematica and to move the object around). The point of view above interprets "the proportion of quadrics having no $x$-intercept" as "the proportion of directions in parameter space corresponding to quadrics having no $x$-intercept", or equivalently "the proportion of quadratics with $a^2+b^2+c^2 leq 1$ having no $x$-intercept".



              Under this setting, and if I'm not mistaken, a quick computation gives me that the probability of having no $x$-intersect is:



              $$1-frac12piint_mathbbR fracsqrtt^4+4t^2+1t^4+t^2+1 dt simeq 0,351.$$



              Reference : How many zeroes of a random polynomial are real?, A. Edelman and E. Kostlan, Bulletin of the AMS, Vol. 32, n.1, January 1995. Available on arXiv: https://arxiv.org/pdf/math/9501224.pdf



              The formula above is due to Kac (1943). I will let somebody else try to find a closed form, as there are poeple here much better than me at identifying and computing integrals.






              share|cite|improve this answer












              $endgroup$










              • 3




                $begingroup$
                This is an interesting way to look at it, but I disagree that this should be considered a “natural measure” on the space of quadratics. The sphere you're using is the Stiefel-1 manifold of the vector space of quadratics here, so far so good. But that vector space is per se not a Euclidean space; the Stiefel manifold is still defined but it is not a unit sphere. By using the monomial-expansion coefficients, you're picking an ultimately arbitrary scalar product which then gives rise to a measure on the Stiefel manifold as well.
                $endgroup$
                – leftaroundabout
                Jul 30 at 13:46











              • $begingroup$
                @leftroundabout: good catch, and you are completely right. I've modified my answer to highlight this kind of choices (turning things a bit differently -- the Euclidean structure is still there, but then there is an arbitrary choice of embedding of the sphere into the Euclidean space).
                $endgroup$
                – D. Thomine
                Jul 30 at 20:16










              • $begingroup$
                This is $1/(2 pi)$ times the solid angle of an oblique circular cone with base radius $2$, height $1$ and the distance between the center of the base and the foot of the altitude equal to $sqrt 3$. There is a known formula for the solid angle, which gives $$1 - frac alpha 2 pi K(1 - alpha^4) - frac alpha^5 2 pi Pi(1 - alpha^8, 1 - alpha^4)$$ in terms of $K(m)$ and $Pi(n, m)$, where $alpha = sqrt 2 - sqrt 3 hspace 1px$.
                $endgroup$
                – Maxim
                Jul 31 at 19:09














              8














              8










              8







              $begingroup$

              While other answers have pointed out the problem of defining a random quadratic, I will argue that there are, indeed, rather interesting measures on the quadratics.



              Let $ax^2+bx+c=0$ be the equation of a parabola. Il we multiply all the coefficients by some constant, we get e.g.



              $$10ax^2+10bx+10c=0,$$



              which is another equation of the same curve. Hence, instead of taking for $(a,b,c)$ general real numbers, we can normalize, for instance by adding the constraint $a^2+b^2+c^2 = 1$. Then $(a,b,c)$ lie on a sphere, on which there is a natural probability measure: the uniform measure. The simplest way to simulate this setting is to take for $a$, $b$ and $c$ three independent standard Gaussians; then $(a,b,c)/ |a^2+b^2+c^2|$ is uniform on the unit sphere.



              Note that (as per Leftaroundabout's comment) this is just one possible normalization, and thus one possible measure on quadratics, called Kac's random polynomial. There are other reasonable measures. However, this one in particular gives rise to some interesting and not too difficult pieces of mathematics.



              Anyway, whichever normalization you choose, this highlights a feature of this problem which is not very visible in Michael Seifert's answer: the quadratics having no $x$-intercept are exactly those whose coefficients satisfy $b^2-4ac<0$, which is, in parameter space, the equation of a filled cone (try to plot it on Mathematica and to move the object around). The point of view above interprets "the proportion of quadrics having no $x$-intercept" as "the proportion of directions in parameter space corresponding to quadrics having no $x$-intercept", or equivalently "the proportion of quadratics with $a^2+b^2+c^2 leq 1$ having no $x$-intercept".



              Under this setting, and if I'm not mistaken, a quick computation gives me that the probability of having no $x$-intersect is:



              $$1-frac12piint_mathbbR fracsqrtt^4+4t^2+1t^4+t^2+1 dt simeq 0,351.$$



              Reference : How many zeroes of a random polynomial are real?, A. Edelman and E. Kostlan, Bulletin of the AMS, Vol. 32, n.1, January 1995. Available on arXiv: https://arxiv.org/pdf/math/9501224.pdf



              The formula above is due to Kac (1943). I will let somebody else try to find a closed form, as there are poeple here much better than me at identifying and computing integrals.






              share|cite|improve this answer












              $endgroup$



              While other answers have pointed out the problem of defining a random quadratic, I will argue that there are, indeed, rather interesting measures on the quadratics.



              Let $ax^2+bx+c=0$ be the equation of a parabola. Il we multiply all the coefficients by some constant, we get e.g.



              $$10ax^2+10bx+10c=0,$$



              which is another equation of the same curve. Hence, instead of taking for $(a,b,c)$ general real numbers, we can normalize, for instance by adding the constraint $a^2+b^2+c^2 = 1$. Then $(a,b,c)$ lie on a sphere, on which there is a natural probability measure: the uniform measure. The simplest way to simulate this setting is to take for $a$, $b$ and $c$ three independent standard Gaussians; then $(a,b,c)/ |a^2+b^2+c^2|$ is uniform on the unit sphere.



              Note that (as per Leftaroundabout's comment) this is just one possible normalization, and thus one possible measure on quadratics, called Kac's random polynomial. There are other reasonable measures. However, this one in particular gives rise to some interesting and not too difficult pieces of mathematics.



              Anyway, whichever normalization you choose, this highlights a feature of this problem which is not very visible in Michael Seifert's answer: the quadratics having no $x$-intercept are exactly those whose coefficients satisfy $b^2-4ac<0$, which is, in parameter space, the equation of a filled cone (try to plot it on Mathematica and to move the object around). The point of view above interprets "the proportion of quadrics having no $x$-intercept" as "the proportion of directions in parameter space corresponding to quadrics having no $x$-intercept", or equivalently "the proportion of quadratics with $a^2+b^2+c^2 leq 1$ having no $x$-intercept".



              Under this setting, and if I'm not mistaken, a quick computation gives me that the probability of having no $x$-intersect is:



              $$1-frac12piint_mathbbR fracsqrtt^4+4t^2+1t^4+t^2+1 dt simeq 0,351.$$



              Reference : How many zeroes of a random polynomial are real?, A. Edelman and E. Kostlan, Bulletin of the AMS, Vol. 32, n.1, January 1995. Available on arXiv: https://arxiv.org/pdf/math/9501224.pdf



              The formula above is due to Kac (1943). I will let somebody else try to find a closed form, as there are poeple here much better than me at identifying and computing integrals.







              share|cite|improve this answer















              share|cite|improve this answer




              share|cite|improve this answer








              edited Jul 30 at 20:13

























              answered Jul 30 at 9:06









              D. ThomineD. Thomine

              8,19916 silver badges39 bronze badges




              8,19916 silver badges39 bronze badges










              • 3




                $begingroup$
                This is an interesting way to look at it, but I disagree that this should be considered a “natural measure” on the space of quadratics. The sphere you're using is the Stiefel-1 manifold of the vector space of quadratics here, so far so good. But that vector space is per se not a Euclidean space; the Stiefel manifold is still defined but it is not a unit sphere. By using the monomial-expansion coefficients, you're picking an ultimately arbitrary scalar product which then gives rise to a measure on the Stiefel manifold as well.
                $endgroup$
                – leftaroundabout
                Jul 30 at 13:46











              • $begingroup$
                @leftroundabout: good catch, and you are completely right. I've modified my answer to highlight this kind of choices (turning things a bit differently -- the Euclidean structure is still there, but then there is an arbitrary choice of embedding of the sphere into the Euclidean space).
                $endgroup$
                – D. Thomine
                Jul 30 at 20:16










              • $begingroup$
                This is $1/(2 pi)$ times the solid angle of an oblique circular cone with base radius $2$, height $1$ and the distance between the center of the base and the foot of the altitude equal to $sqrt 3$. There is a known formula for the solid angle, which gives $$1 - frac alpha 2 pi K(1 - alpha^4) - frac alpha^5 2 pi Pi(1 - alpha^8, 1 - alpha^4)$$ in terms of $K(m)$ and $Pi(n, m)$, where $alpha = sqrt 2 - sqrt 3 hspace 1px$.
                $endgroup$
                – Maxim
                Jul 31 at 19:09













              • 3




                $begingroup$
                This is an interesting way to look at it, but I disagree that this should be considered a “natural measure” on the space of quadratics. The sphere you're using is the Stiefel-1 manifold of the vector space of quadratics here, so far so good. But that vector space is per se not a Euclidean space; the Stiefel manifold is still defined but it is not a unit sphere. By using the monomial-expansion coefficients, you're picking an ultimately arbitrary scalar product which then gives rise to a measure on the Stiefel manifold as well.
                $endgroup$
                – leftaroundabout
                Jul 30 at 13:46











              • $begingroup$
                @leftroundabout: good catch, and you are completely right. I've modified my answer to highlight this kind of choices (turning things a bit differently -- the Euclidean structure is still there, but then there is an arbitrary choice of embedding of the sphere into the Euclidean space).
                $endgroup$
                – D. Thomine
                Jul 30 at 20:16










              • $begingroup$
                This is $1/(2 pi)$ times the solid angle of an oblique circular cone with base radius $2$, height $1$ and the distance between the center of the base and the foot of the altitude equal to $sqrt 3$. There is a known formula for the solid angle, which gives $$1 - frac alpha 2 pi K(1 - alpha^4) - frac alpha^5 2 pi Pi(1 - alpha^8, 1 - alpha^4)$$ in terms of $K(m)$ and $Pi(n, m)$, where $alpha = sqrt 2 - sqrt 3 hspace 1px$.
                $endgroup$
                – Maxim
                Jul 31 at 19:09








              3




              3




              $begingroup$
              This is an interesting way to look at it, but I disagree that this should be considered a “natural measure” on the space of quadratics. The sphere you're using is the Stiefel-1 manifold of the vector space of quadratics here, so far so good. But that vector space is per se not a Euclidean space; the Stiefel manifold is still defined but it is not a unit sphere. By using the monomial-expansion coefficients, you're picking an ultimately arbitrary scalar product which then gives rise to a measure on the Stiefel manifold as well.
              $endgroup$
              – leftaroundabout
              Jul 30 at 13:46





              $begingroup$
              This is an interesting way to look at it, but I disagree that this should be considered a “natural measure” on the space of quadratics. The sphere you're using is the Stiefel-1 manifold of the vector space of quadratics here, so far so good. But that vector space is per se not a Euclidean space; the Stiefel manifold is still defined but it is not a unit sphere. By using the monomial-expansion coefficients, you're picking an ultimately arbitrary scalar product which then gives rise to a measure on the Stiefel manifold as well.
              $endgroup$
              – leftaroundabout
              Jul 30 at 13:46













              $begingroup$
              @leftroundabout: good catch, and you are completely right. I've modified my answer to highlight this kind of choices (turning things a bit differently -- the Euclidean structure is still there, but then there is an arbitrary choice of embedding of the sphere into the Euclidean space).
              $endgroup$
              – D. Thomine
              Jul 30 at 20:16




              $begingroup$
              @leftroundabout: good catch, and you are completely right. I've modified my answer to highlight this kind of choices (turning things a bit differently -- the Euclidean structure is still there, but then there is an arbitrary choice of embedding of the sphere into the Euclidean space).
              $endgroup$
              – D. Thomine
              Jul 30 at 20:16












              $begingroup$
              This is $1/(2 pi)$ times the solid angle of an oblique circular cone with base radius $2$, height $1$ and the distance between the center of the base and the foot of the altitude equal to $sqrt 3$. There is a known formula for the solid angle, which gives $$1 - frac alpha 2 pi K(1 - alpha^4) - frac alpha^5 2 pi Pi(1 - alpha^8, 1 - alpha^4)$$ in terms of $K(m)$ and $Pi(n, m)$, where $alpha = sqrt 2 - sqrt 3 hspace 1px$.
              $endgroup$
              – Maxim
              Jul 31 at 19:09





              $begingroup$
              This is $1/(2 pi)$ times the solid angle of an oblique circular cone with base radius $2$, height $1$ and the distance between the center of the base and the foot of the altitude equal to $sqrt 3$. There is a known formula for the solid angle, which gives $$1 - frac alpha 2 pi K(1 - alpha^4) - frac alpha^5 2 pi Pi(1 - alpha^8, 1 - alpha^4)$$ in terms of $K(m)$ and $Pi(n, m)$, where $alpha = sqrt 2 - sqrt 3 hspace 1px$.
              $endgroup$
              – Maxim
              Jul 31 at 19:09












              5
















              $begingroup$

              Since you used a computer, $a, b, c$ must have been in a restricted range. Try altering that range and see how it affects your answer. Even if you have a super computer with an enormous but still finite range of numbers, it will still tell you nothing about the case for all numbers.



              Even a dream computer without limits would have a problem as you cannot pick evenly from an infinite set.



              Consider a simpler problem: what proportion of positive integers have a digit $9$ in them? The super naive answer is $10%$ but even going as far as $100$ gives the larger answer $19%$. Now go to $1000$, $10000$, etc and you will find that the answer continues to grow. It is easy enough to prove that it grows without limit and approaches $100%$. So, in a sense, $100%$ of positive integers have a digit $9$.






              share|cite|improve this answer










              $endgroup$










              • 1




                $begingroup$
                Lets say he tests all numbers from (-100, 100), then (-1000, 1000), then (-10000, 10000), until he reaches 500 zeros. If all of those give you the same answer, then isn't it very highly likely you will get that answer no matter what numbers you choose? We can't know for sure if the answer is right, but we can know to a very high degree of probability can't we? Also, saying that the limit approaches 100% for the infinite series of numbers is not the same as saying the chance is 100% at any point, which is what you're saying when you say 100% of integers have a 9. It's untrue mathematically
                $endgroup$
                – YungGun
                Jul 29 at 16:29







              • 1




                $begingroup$
                No, whatever your finite limit is, however huge, it is still an insignificant fraction of all numbers. For example, before Wiles' proof of Fermat's theorem, it was known that any exception would be very large. However, this was not considered a proof. Another thing to note is that if there are infinitely many possibilities then $100%$ is not the same as certain.
                $endgroup$
                – badjohn
                Jul 29 at 19:29







              • 2




                $begingroup$
                @YungGun see also math.stackexchange.com/questions/514/….
                $endgroup$
                – Thom Smith
                Jul 29 at 20:17






              • 1




                $begingroup$
                The answer by nomadictype proves that the range does not influence the result. I don't see how your answer adds value.
                $endgroup$
                – Vincent
                Jul 31 at 2:55






              • 1




                $begingroup$
                nomadictype's samples are all cubes. D. Thomine uses another attractive approach and gets a different answer. That's the point. You cannot sample the whole infinite space uniformly. Different restrictions or distributions may give different results.
                $endgroup$
                – badjohn
                Jul 31 at 8:19















              5
















              $begingroup$

              Since you used a computer, $a, b, c$ must have been in a restricted range. Try altering that range and see how it affects your answer. Even if you have a super computer with an enormous but still finite range of numbers, it will still tell you nothing about the case for all numbers.



              Even a dream computer without limits would have a problem as you cannot pick evenly from an infinite set.



              Consider a simpler problem: what proportion of positive integers have a digit $9$ in them? The super naive answer is $10%$ but even going as far as $100$ gives the larger answer $19%$. Now go to $1000$, $10000$, etc and you will find that the answer continues to grow. It is easy enough to prove that it grows without limit and approaches $100%$. So, in a sense, $100%$ of positive integers have a digit $9$.






              share|cite|improve this answer










              $endgroup$










              • 1




                $begingroup$
                Lets say he tests all numbers from (-100, 100), then (-1000, 1000), then (-10000, 10000), until he reaches 500 zeros. If all of those give you the same answer, then isn't it very highly likely you will get that answer no matter what numbers you choose? We can't know for sure if the answer is right, but we can know to a very high degree of probability can't we? Also, saying that the limit approaches 100% for the infinite series of numbers is not the same as saying the chance is 100% at any point, which is what you're saying when you say 100% of integers have a 9. It's untrue mathematically
                $endgroup$
                – YungGun
                Jul 29 at 16:29







              • 1




                $begingroup$
                No, whatever your finite limit is, however huge, it is still an insignificant fraction of all numbers. For example, before Wiles' proof of Fermat's theorem, it was known that any exception would be very large. However, this was not considered a proof. Another thing to note is that if there are infinitely many possibilities then $100%$ is not the same as certain.
                $endgroup$
                – badjohn
                Jul 29 at 19:29







              • 2




                $begingroup$
                @YungGun see also math.stackexchange.com/questions/514/….
                $endgroup$
                – Thom Smith
                Jul 29 at 20:17






              • 1




                $begingroup$
                The answer by nomadictype proves that the range does not influence the result. I don't see how your answer adds value.
                $endgroup$
                – Vincent
                Jul 31 at 2:55






              • 1




                $begingroup$
                nomadictype's samples are all cubes. D. Thomine uses another attractive approach and gets a different answer. That's the point. You cannot sample the whole infinite space uniformly. Different restrictions or distributions may give different results.
                $endgroup$
                – badjohn
                Jul 31 at 8:19













              5














              5










              5







              $begingroup$

              Since you used a computer, $a, b, c$ must have been in a restricted range. Try altering that range and see how it affects your answer. Even if you have a super computer with an enormous but still finite range of numbers, it will still tell you nothing about the case for all numbers.



              Even a dream computer without limits would have a problem as you cannot pick evenly from an infinite set.



              Consider a simpler problem: what proportion of positive integers have a digit $9$ in them? The super naive answer is $10%$ but even going as far as $100$ gives the larger answer $19%$. Now go to $1000$, $10000$, etc and you will find that the answer continues to grow. It is easy enough to prove that it grows without limit and approaches $100%$. So, in a sense, $100%$ of positive integers have a digit $9$.






              share|cite|improve this answer










              $endgroup$



              Since you used a computer, $a, b, c$ must have been in a restricted range. Try altering that range and see how it affects your answer. Even if you have a super computer with an enormous but still finite range of numbers, it will still tell you nothing about the case for all numbers.



              Even a dream computer without limits would have a problem as you cannot pick evenly from an infinite set.



              Consider a simpler problem: what proportion of positive integers have a digit $9$ in them? The super naive answer is $10%$ but even going as far as $100$ gives the larger answer $19%$. Now go to $1000$, $10000$, etc and you will find that the answer continues to grow. It is easy enough to prove that it grows without limit and approaches $100%$. So, in a sense, $100%$ of positive integers have a digit $9$.







              share|cite|improve this answer













              share|cite|improve this answer




              share|cite|improve this answer










              answered Jul 29 at 7:45









              badjohnbadjohn

              5,4351 gold badge11 silver badges22 bronze badges




              5,4351 gold badge11 silver badges22 bronze badges










              • 1




                $begingroup$
                Lets say he tests all numbers from (-100, 100), then (-1000, 1000), then (-10000, 10000), until he reaches 500 zeros. If all of those give you the same answer, then isn't it very highly likely you will get that answer no matter what numbers you choose? We can't know for sure if the answer is right, but we can know to a very high degree of probability can't we? Also, saying that the limit approaches 100% for the infinite series of numbers is not the same as saying the chance is 100% at any point, which is what you're saying when you say 100% of integers have a 9. It's untrue mathematically
                $endgroup$
                – YungGun
                Jul 29 at 16:29







              • 1




                $begingroup$
                No, whatever your finite limit is, however huge, it is still an insignificant fraction of all numbers. For example, before Wiles' proof of Fermat's theorem, it was known that any exception would be very large. However, this was not considered a proof. Another thing to note is that if there are infinitely many possibilities then $100%$ is not the same as certain.
                $endgroup$
                – badjohn
                Jul 29 at 19:29







              • 2




                $begingroup$
                @YungGun see also math.stackexchange.com/questions/514/….
                $endgroup$
                – Thom Smith
                Jul 29 at 20:17






              • 1




                $begingroup$
                The answer by nomadictype proves that the range does not influence the result. I don't see how your answer adds value.
                $endgroup$
                – Vincent
                Jul 31 at 2:55






              • 1




                $begingroup$
                nomadictype's samples are all cubes. D. Thomine uses another attractive approach and gets a different answer. That's the point. You cannot sample the whole infinite space uniformly. Different restrictions or distributions may give different results.
                $endgroup$
                – badjohn
                Jul 31 at 8:19












              • 1




                $begingroup$
                Lets say he tests all numbers from (-100, 100), then (-1000, 1000), then (-10000, 10000), until he reaches 500 zeros. If all of those give you the same answer, then isn't it very highly likely you will get that answer no matter what numbers you choose? We can't know for sure if the answer is right, but we can know to a very high degree of probability can't we? Also, saying that the limit approaches 100% for the infinite series of numbers is not the same as saying the chance is 100% at any point, which is what you're saying when you say 100% of integers have a 9. It's untrue mathematically
                $endgroup$
                – YungGun
                Jul 29 at 16:29







              • 1




                $begingroup$
                No, whatever your finite limit is, however huge, it is still an insignificant fraction of all numbers. For example, before Wiles' proof of Fermat's theorem, it was known that any exception would be very large. However, this was not considered a proof. Another thing to note is that if there are infinitely many possibilities then $100%$ is not the same as certain.
                $endgroup$
                – badjohn
                Jul 29 at 19:29







              • 2




                $begingroup$
                @YungGun see also math.stackexchange.com/questions/514/….
                $endgroup$
                – Thom Smith
                Jul 29 at 20:17






              • 1




                $begingroup$
                The answer by nomadictype proves that the range does not influence the result. I don't see how your answer adds value.
                $endgroup$
                – Vincent
                Jul 31 at 2:55






              • 1




                $begingroup$
                nomadictype's samples are all cubes. D. Thomine uses another attractive approach and gets a different answer. That's the point. You cannot sample the whole infinite space uniformly. Different restrictions or distributions may give different results.
                $endgroup$
                – badjohn
                Jul 31 at 8:19







              1




              1




              $begingroup$
              Lets say he tests all numbers from (-100, 100), then (-1000, 1000), then (-10000, 10000), until he reaches 500 zeros. If all of those give you the same answer, then isn't it very highly likely you will get that answer no matter what numbers you choose? We can't know for sure if the answer is right, but we can know to a very high degree of probability can't we? Also, saying that the limit approaches 100% for the infinite series of numbers is not the same as saying the chance is 100% at any point, which is what you're saying when you say 100% of integers have a 9. It's untrue mathematically
              $endgroup$
              – YungGun
              Jul 29 at 16:29





              $begingroup$
              Lets say he tests all numbers from (-100, 100), then (-1000, 1000), then (-10000, 10000), until he reaches 500 zeros. If all of those give you the same answer, then isn't it very highly likely you will get that answer no matter what numbers you choose? We can't know for sure if the answer is right, but we can know to a very high degree of probability can't we? Also, saying that the limit approaches 100% for the infinite series of numbers is not the same as saying the chance is 100% at any point, which is what you're saying when you say 100% of integers have a 9. It's untrue mathematically
              $endgroup$
              – YungGun
              Jul 29 at 16:29





              1




              1




              $begingroup$
              No, whatever your finite limit is, however huge, it is still an insignificant fraction of all numbers. For example, before Wiles' proof of Fermat's theorem, it was known that any exception would be very large. However, this was not considered a proof. Another thing to note is that if there are infinitely many possibilities then $100%$ is not the same as certain.
              $endgroup$
              – badjohn
              Jul 29 at 19:29





              $begingroup$
              No, whatever your finite limit is, however huge, it is still an insignificant fraction of all numbers. For example, before Wiles' proof of Fermat's theorem, it was known that any exception would be very large. However, this was not considered a proof. Another thing to note is that if there are infinitely many possibilities then $100%$ is not the same as certain.
              $endgroup$
              – badjohn
              Jul 29 at 19:29





              2




              2




              $begingroup$
              @YungGun see also math.stackexchange.com/questions/514/….
              $endgroup$
              – Thom Smith
              Jul 29 at 20:17




              $begingroup$
              @YungGun see also math.stackexchange.com/questions/514/….
              $endgroup$
              – Thom Smith
              Jul 29 at 20:17




              1




              1




              $begingroup$
              The answer by nomadictype proves that the range does not influence the result. I don't see how your answer adds value.
              $endgroup$
              – Vincent
              Jul 31 at 2:55




              $begingroup$
              The answer by nomadictype proves that the range does not influence the result. I don't see how your answer adds value.
              $endgroup$
              – Vincent
              Jul 31 at 2:55




              1




              1




              $begingroup$
              nomadictype's samples are all cubes. D. Thomine uses another attractive approach and gets a different answer. That's the point. You cannot sample the whole infinite space uniformly. Different restrictions or distributions may give different results.
              $endgroup$
              – badjohn
              Jul 31 at 8:19




              $begingroup$
              nomadictype's samples are all cubes. D. Thomine uses another attractive approach and gets a different answer. That's the point. You cannot sample the whole infinite space uniformly. Different restrictions or distributions may give different results.
              $endgroup$
              – badjohn
              Jul 31 at 8:19











              4
















              $begingroup$

              Other answers have done a good job at showing this mathematically, but I feel that a bit of visual explanation would help to solidify exactly why there is a difference in these two answers of $1/2$ and ~$3/8$.



              Below, I have made a graph of all quadratic equations of the form $a(x-b)^2 +c$, for every combination of $a$, $b$ and $c$ in the closed interval $[-4,4]$, with a step size of $0.5$. The exact numbers are not relevant to this answer (though it is relevant to say that the x-scale and y-scale are equal, and both are linear).



              For each parabola, I've only plotted a small section near the vertex. The line of each is colored according to how many x-intercepts it has: 0 is red, 1 is grey, and 2 is blue.



              graph of the search space for a(x-b)^2 +c



              A visual inspection reveals that there is roughly an equal number of red and blue parabolas, and both vastly outnumber the grey ones. The exact counts in this graph are:



              $$
              beginmatrix
              colorbluetextTwo & 2448 & 0.4982699 \
              colorgraytextOne & 289 & 0.05882353 \
              colorredtextZero & 2176 & 0.4429066 \
              endmatrix
              $$



              Now, let's look at the same search space, but using the form $ax^2 +bx+c$. The graph looks quite different:



              graph of the search space for ax^2 +bx+c



              Again the grey are outnumbered, but we see vastly more blue than red. The exact numbers here are:



              $$
              beginmatrix
              colorbluetextTwo & 3104 & 0.6317932 \
              colorgraytextOne & 65 & 0.0132302055 \
              colorredtextZero & 1744 & 0.3549766 \
              endmatrix
              $$



              As we can see, the 'wings' of this graph are exclusively blue, meaning that all such parabolas have two intercepts. This is what skews the result away from $1/2$.




              For those interested, the language I used to generate these images was Processing, and the code may be found here: https://pastebin.com/geLya3jQ. (Why? Mostly because I don't have much experience with Mathematica, etc.)






              share|cite|improve this answer










              $endgroup$



















                4
















                $begingroup$

                Other answers have done a good job at showing this mathematically, but I feel that a bit of visual explanation would help to solidify exactly why there is a difference in these two answers of $1/2$ and ~$3/8$.



                Below, I have made a graph of all quadratic equations of the form $a(x-b)^2 +c$, for every combination of $a$, $b$ and $c$ in the closed interval $[-4,4]$, with a step size of $0.5$. The exact numbers are not relevant to this answer (though it is relevant to say that the x-scale and y-scale are equal, and both are linear).



                For each parabola, I've only plotted a small section near the vertex. The line of each is colored according to how many x-intercepts it has: 0 is red, 1 is grey, and 2 is blue.



                graph of the search space for a(x-b)^2 +c



                A visual inspection reveals that there is roughly an equal number of red and blue parabolas, and both vastly outnumber the grey ones. The exact counts in this graph are:



                $$
                beginmatrix
                colorbluetextTwo & 2448 & 0.4982699 \
                colorgraytextOne & 289 & 0.05882353 \
                colorredtextZero & 2176 & 0.4429066 \
                endmatrix
                $$



                Now, let's look at the same search space, but using the form $ax^2 +bx+c$. The graph looks quite different:



                graph of the search space for ax^2 +bx+c



                Again the grey are outnumbered, but we see vastly more blue than red. The exact numbers here are:



                $$
                beginmatrix
                colorbluetextTwo & 3104 & 0.6317932 \
                colorgraytextOne & 65 & 0.0132302055 \
                colorredtextZero & 1744 & 0.3549766 \
                endmatrix
                $$



                As we can see, the 'wings' of this graph are exclusively blue, meaning that all such parabolas have two intercepts. This is what skews the result away from $1/2$.




                For those interested, the language I used to generate these images was Processing, and the code may be found here: https://pastebin.com/geLya3jQ. (Why? Mostly because I don't have much experience with Mathematica, etc.)






                share|cite|improve this answer










                $endgroup$

















                  4














                  4










                  4







                  $begingroup$

                  Other answers have done a good job at showing this mathematically, but I feel that a bit of visual explanation would help to solidify exactly why there is a difference in these two answers of $1/2$ and ~$3/8$.



                  Below, I have made a graph of all quadratic equations of the form $a(x-b)^2 +c$, for every combination of $a$, $b$ and $c$ in the closed interval $[-4,4]$, with a step size of $0.5$. The exact numbers are not relevant to this answer (though it is relevant to say that the x-scale and y-scale are equal, and both are linear).



                  For each parabola, I've only plotted a small section near the vertex. The line of each is colored according to how many x-intercepts it has: 0 is red, 1 is grey, and 2 is blue.



                  graph of the search space for a(x-b)^2 +c



                  A visual inspection reveals that there is roughly an equal number of red and blue parabolas, and both vastly outnumber the grey ones. The exact counts in this graph are:



                  $$
                  beginmatrix
                  colorbluetextTwo & 2448 & 0.4982699 \
                  colorgraytextOne & 289 & 0.05882353 \
                  colorredtextZero & 2176 & 0.4429066 \
                  endmatrix
                  $$



                  Now, let's look at the same search space, but using the form $ax^2 +bx+c$. The graph looks quite different:



                  graph of the search space for ax^2 +bx+c



                  Again the grey are outnumbered, but we see vastly more blue than red. The exact numbers here are:



                  $$
                  beginmatrix
                  colorbluetextTwo & 3104 & 0.6317932 \
                  colorgraytextOne & 65 & 0.0132302055 \
                  colorredtextZero & 1744 & 0.3549766 \
                  endmatrix
                  $$



                  As we can see, the 'wings' of this graph are exclusively blue, meaning that all such parabolas have two intercepts. This is what skews the result away from $1/2$.




                  For those interested, the language I used to generate these images was Processing, and the code may be found here: https://pastebin.com/geLya3jQ. (Why? Mostly because I don't have much experience with Mathematica, etc.)






                  share|cite|improve this answer










                  $endgroup$



                  Other answers have done a good job at showing this mathematically, but I feel that a bit of visual explanation would help to solidify exactly why there is a difference in these two answers of $1/2$ and ~$3/8$.



                  Below, I have made a graph of all quadratic equations of the form $a(x-b)^2 +c$, for every combination of $a$, $b$ and $c$ in the closed interval $[-4,4]$, with a step size of $0.5$. The exact numbers are not relevant to this answer (though it is relevant to say that the x-scale and y-scale are equal, and both are linear).



                  For each parabola, I've only plotted a small section near the vertex. The line of each is colored according to how many x-intercepts it has: 0 is red, 1 is grey, and 2 is blue.



                  graph of the search space for a(x-b)^2 +c



                  A visual inspection reveals that there is roughly an equal number of red and blue parabolas, and both vastly outnumber the grey ones. The exact counts in this graph are:



                  $$
                  beginmatrix
                  colorbluetextTwo & 2448 & 0.4982699 \
                  colorgraytextOne & 289 & 0.05882353 \
                  colorredtextZero & 2176 & 0.4429066 \
                  endmatrix
                  $$



                  Now, let's look at the same search space, but using the form $ax^2 +bx+c$. The graph looks quite different:



                  graph of the search space for ax^2 +bx+c



                  Again the grey are outnumbered, but we see vastly more blue than red. The exact numbers here are:



                  $$
                  beginmatrix
                  colorbluetextTwo & 3104 & 0.6317932 \
                  colorgraytextOne & 65 & 0.0132302055 \
                  colorredtextZero & 1744 & 0.3549766 \
                  endmatrix
                  $$



                  As we can see, the 'wings' of this graph are exclusively blue, meaning that all such parabolas have two intercepts. This is what skews the result away from $1/2$.




                  For those interested, the language I used to generate these images was Processing, and the code may be found here: https://pastebin.com/geLya3jQ. (Why? Mostly because I don't have much experience with Mathematica, etc.)







                  share|cite|improve this answer













                  share|cite|improve this answer




                  share|cite|improve this answer










                  answered Jul 30 at 19:17









                  PhlarxPhlarx

                  1414 bronze badges




                  1414 bronze badges
























                      0
















                      $begingroup$

                      We need the probability that $b^2 < 4ac$. When $a$ and $c$ have opposite signs this condition is never satified; this occurs in 4 of the 8 octants of the problem domain. So we need only look at the other 4 octants. These are all related by symmetry, so we can choose one representative. Here we'll choose the octant $a in [0,n], b in [0,n], c in [0,n]$. The relevant volume of the domain is given by



                      $$V = int_a=0^n int_c=0^n int_b=0^2sqrtac ,db ,dc ,da $$



                      Carrying out the integration



                      $$V = int_a=0^n int_c=0^n 2sqrtac ,dc ,da $$



                      $$V = int_a=0^n frac43 sqrta n^3/2 ,da $$



                      $$V = frac89 n^3/2 n^3/2 $$



                      This is the volume of one octant; the volume for the 4 octants is then



                      $$V = frac329 n^3 $$



                      The volume of the entire domain is $(2n)^3 = 8n^3$



                      Then the probability of having no x-intercept is



                      $$p=fracfrac329 n^38n^3 = frac49 $$



                      Note that the probability is independent of $n$.






                      share|cite|improve this answer










                      $endgroup$










                      • 4




                        $begingroup$
                        Note that we could have $2sqrtac>n$ even if $a le n$ and $c le n$. So your integral isn't computing the volume of the correct region, but of something bigger. Perhaps this is why you've come up with a larger fraction than the OP...
                        $endgroup$
                        – Micah
                        Jul 29 at 19:04















                      0
















                      $begingroup$

                      We need the probability that $b^2 < 4ac$. When $a$ and $c$ have opposite signs this condition is never satified; this occurs in 4 of the 8 octants of the problem domain. So we need only look at the other 4 octants. These are all related by symmetry, so we can choose one representative. Here we'll choose the octant $a in [0,n], b in [0,n], c in [0,n]$. The relevant volume of the domain is given by



                      $$V = int_a=0^n int_c=0^n int_b=0^2sqrtac ,db ,dc ,da $$



                      Carrying out the integration



                      $$V = int_a=0^n int_c=0^n 2sqrtac ,dc ,da $$



                      $$V = int_a=0^n frac43 sqrta n^3/2 ,da $$



                      $$V = frac89 n^3/2 n^3/2 $$



                      This is the volume of one octant; the volume for the 4 octants is then



                      $$V = frac329 n^3 $$



                      The volume of the entire domain is $(2n)^3 = 8n^3$



                      Then the probability of having no x-intercept is



                      $$p=fracfrac329 n^38n^3 = frac49 $$



                      Note that the probability is independent of $n$.






                      share|cite|improve this answer










                      $endgroup$










                      • 4




                        $begingroup$
                        Note that we could have $2sqrtac>n$ even if $a le n$ and $c le n$. So your integral isn't computing the volume of the correct region, but of something bigger. Perhaps this is why you've come up with a larger fraction than the OP...
                        $endgroup$
                        – Micah
                        Jul 29 at 19:04













                      0














                      0










                      0







                      $begingroup$

                      We need the probability that $b^2 < 4ac$. When $a$ and $c$ have opposite signs this condition is never satified; this occurs in 4 of the 8 octants of the problem domain. So we need only look at the other 4 octants. These are all related by symmetry, so we can choose one representative. Here we'll choose the octant $a in [0,n], b in [0,n], c in [0,n]$. The relevant volume of the domain is given by



                      $$V = int_a=0^n int_c=0^n int_b=0^2sqrtac ,db ,dc ,da $$



                      Carrying out the integration



                      $$V = int_a=0^n int_c=0^n 2sqrtac ,dc ,da $$



                      $$V = int_a=0^n frac43 sqrta n^3/2 ,da $$



                      $$V = frac89 n^3/2 n^3/2 $$



                      This is the volume of one octant; the volume for the 4 octants is then



                      $$V = frac329 n^3 $$



                      The volume of the entire domain is $(2n)^3 = 8n^3$



                      Then the probability of having no x-intercept is



                      $$p=fracfrac329 n^38n^3 = frac49 $$



                      Note that the probability is independent of $n$.






                      share|cite|improve this answer










                      $endgroup$



                      We need the probability that $b^2 < 4ac$. When $a$ and $c$ have opposite signs this condition is never satified; this occurs in 4 of the 8 octants of the problem domain. So we need only look at the other 4 octants. These are all related by symmetry, so we can choose one representative. Here we'll choose the octant $a in [0,n], b in [0,n], c in [0,n]$. The relevant volume of the domain is given by



                      $$V = int_a=0^n int_c=0^n int_b=0^2sqrtac ,db ,dc ,da $$



                      Carrying out the integration



                      $$V = int_a=0^n int_c=0^n 2sqrtac ,dc ,da $$



                      $$V = int_a=0^n frac43 sqrta n^3/2 ,da $$



                      $$V = frac89 n^3/2 n^3/2 $$



                      This is the volume of one octant; the volume for the 4 octants is then



                      $$V = frac329 n^3 $$



                      The volume of the entire domain is $(2n)^3 = 8n^3$



                      Then the probability of having no x-intercept is



                      $$p=fracfrac329 n^38n^3 = frac49 $$



                      Note that the probability is independent of $n$.







                      share|cite|improve this answer













                      share|cite|improve this answer




                      share|cite|improve this answer










                      answered Jul 29 at 18:34









                      xidgelxidgel

                      3891 silver badge5 bronze badges




                      3891 silver badge5 bronze badges










                      • 4




                        $begingroup$
                        Note that we could have $2sqrtac>n$ even if $a le n$ and $c le n$. So your integral isn't computing the volume of the correct region, but of something bigger. Perhaps this is why you've come up with a larger fraction than the OP...
                        $endgroup$
                        – Micah
                        Jul 29 at 19:04












                      • 4




                        $begingroup$
                        Note that we could have $2sqrtac>n$ even if $a le n$ and $c le n$. So your integral isn't computing the volume of the correct region, but of something bigger. Perhaps this is why you've come up with a larger fraction than the OP...
                        $endgroup$
                        – Micah
                        Jul 29 at 19:04







                      4




                      4




                      $begingroup$
                      Note that we could have $2sqrtac>n$ even if $a le n$ and $c le n$. So your integral isn't computing the volume of the correct region, but of something bigger. Perhaps this is why you've come up with a larger fraction than the OP...
                      $endgroup$
                      – Micah
                      Jul 29 at 19:04




                      $begingroup$
                      Note that we could have $2sqrtac>n$ even if $a le n$ and $c le n$. So your integral isn't computing the volume of the correct region, but of something bigger. Perhaps this is why you've come up with a larger fraction than the OP...
                      $endgroup$
                      – Micah
                      Jul 29 at 19:04


















                      draft saved

                      draft discarded















































                      Thanks for contributing an answer to Mathematics Stack Exchange!


                      • Please be sure to answer the question. Provide details and share your research!

                      But avoid


                      • Asking for help, clarification, or responding to other answers.

                      • Making statements based on opinion; back them up with references or personal experience.

                      Use MathJax to format equations. MathJax reference.


                      To learn more, see our tips on writing great answers.




                      draft saved


                      draft discarded














                      StackExchange.ready(
                      function ()
                      StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3307156%2fdo-3-8-37-5-of-quadratics-have-no-x-intercepts%23new-answer', 'question_page');

                      );

                      Post as a guest















                      Required, but never shown





















































                      Required, but never shown














                      Required, but never shown












                      Required, but never shown







                      Required, but never shown

































                      Required, but never shown














                      Required, but never shown












                      Required, but never shown







                      Required, but never shown









                      Popular posts from this blog

                      Tamil (spriik) Luke uk diar | Nawigatjuun

                      Align equal signs while including text over equalitiesAMS align: left aligned text/math plus multicolumn alignmentMultiple alignmentsAligning equations in multiple placesNumbering and aligning an equation with multiple columnsHow to align one equation with another multline equationUsing \ in environments inside the begintabularxNumber equations and preserving alignment of equal signsHow can I align equations to the left and to the right?Double equation alignment problem within align enviromentAligned within align: Why are they right-aligned?

                      Training a classifier when some of the features are unknownWhy does Gradient Boosting regression predict negative values when there are no negative y-values in my training set?How to improve an existing (trained) classifier?What is effect when I set up some self defined predisctor variables?Why Matlab neural network classification returns decimal values on prediction dataset?Fitting and transforming text data in training, testing, and validation setsHow to quantify the performance of the classifier (multi-class SVM) using the test data?How do I control for some patients providing multiple samples in my training data?Training and Test setTraining a convolutional neural network for image denoising in MatlabShouldn't an autoencoder with #(neurons in hidden layer) = #(neurons in input layer) be “perfect”?