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Why does Coq include let-expressions in its core language


Theorem Proofs in CoqCan coq express its own metatheory?Collection of inference rules viewed itself as a judgmentLocal type argument synthesis when type variable does not appear in argumentsPure type systems and let-expressionsUnderstanding the definition of Positivity Constraints in CoqHow does this use of “apply” in Coq work?Drawbacks of adding type equality to 1MLDoes dependent type checkers need to store lambda parameter type in their core language?For proof automation in Coq, when is it appropriate to use canonical structures or Equations instead of Ltac?






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









9















$begingroup$


Coq includes let-expressions in its core language.
We can translate let-expressions to applications like this:
let x : t = v in b ~> ((x:t). b) v
I understand that this does not always work because the value v would not be available when typechecking b. However this can be easily fixed by special casing the typechecking of applications of the form ((x:t). b) v. This allows us to remove let-expressions at the cost of a special case while typechecking. Why does Coq include still include let-expressions? Do they have other advantages (besides not needing the special case)?










share|cite|improve this question









$endgroup$










  • 4




    $begingroup$
    Your suggestion sounds like adding a hack to avoid needing let expressions, but there's a) no reason to avoid let expressions and they are also convenient, and b) adding hacks to your core language is not a great idea.
    $endgroup$
    – Derek Elkins
    Sep 11 at 19:02

















9















$begingroup$


Coq includes let-expressions in its core language.
We can translate let-expressions to applications like this:
let x : t = v in b ~> ((x:t). b) v
I understand that this does not always work because the value v would not be available when typechecking b. However this can be easily fixed by special casing the typechecking of applications of the form ((x:t). b) v. This allows us to remove let-expressions at the cost of a special case while typechecking. Why does Coq include still include let-expressions? Do they have other advantages (besides not needing the special case)?










share|cite|improve this question









$endgroup$










  • 4




    $begingroup$
    Your suggestion sounds like adding a hack to avoid needing let expressions, but there's a) no reason to avoid let expressions and they are also convenient, and b) adding hacks to your core language is not a great idea.
    $endgroup$
    – Derek Elkins
    Sep 11 at 19:02













9













9









9


3



$begingroup$


Coq includes let-expressions in its core language.
We can translate let-expressions to applications like this:
let x : t = v in b ~> ((x:t). b) v
I understand that this does not always work because the value v would not be available when typechecking b. However this can be easily fixed by special casing the typechecking of applications of the form ((x:t). b) v. This allows us to remove let-expressions at the cost of a special case while typechecking. Why does Coq include still include let-expressions? Do they have other advantages (besides not needing the special case)?










share|cite|improve this question









$endgroup$




Coq includes let-expressions in its core language.
We can translate let-expressions to applications like this:
let x : t = v in b ~> ((x:t). b) v
I understand that this does not always work because the value v would not be available when typechecking b. However this can be easily fixed by special casing the typechecking of applications of the form ((x:t). b) v. This allows us to remove let-expressions at the cost of a special case while typechecking. Why does Coq include still include let-expressions? Do they have other advantages (besides not needing the special case)?







type-theory dependent-types type-checking coq






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asked Sep 11 at 14:19









LabbekakLabbekak

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  • 4




    $begingroup$
    Your suggestion sounds like adding a hack to avoid needing let expressions, but there's a) no reason to avoid let expressions and they are also convenient, and b) adding hacks to your core language is not a great idea.
    $endgroup$
    – Derek Elkins
    Sep 11 at 19:02












  • 4




    $begingroup$
    Your suggestion sounds like adding a hack to avoid needing let expressions, but there's a) no reason to avoid let expressions and they are also convenient, and b) adding hacks to your core language is not a great idea.
    $endgroup$
    – Derek Elkins
    Sep 11 at 19:02







4




4




$begingroup$
Your suggestion sounds like adding a hack to avoid needing let expressions, but there's a) no reason to avoid let expressions and they are also convenient, and b) adding hacks to your core language is not a great idea.
$endgroup$
– Derek Elkins
Sep 11 at 19:02




$begingroup$
Your suggestion sounds like adding a hack to avoid needing let expressions, but there's a) no reason to avoid let expressions and they are also convenient, and b) adding hacks to your core language is not a great idea.
$endgroup$
– Derek Elkins
Sep 11 at 19:02










1 Answer
1






active

oldest

votes


















23

















$begingroup$

It is a common misconception that we can translate let-expresions to applications. The difference between let x : t := b in v and (fun x : t => v) b is that in the let-expression, during type-checking of v we know that x is equal to b, but in the application we do not (the subexpression fun x : t => v has to make sense on its own).



Here is an example:



(* Dependent type of vectors. *)
Inductive Vector A : Type : nat -> Type :=
| nil : Vector 0
| cons : forall n, A -> Vector n -> Vector (S n).

(* This works. *)
Check (let n := 0 in cons n 42 nil).

(* This fails. *)
Check ((fun (n : nat) => cons n 42 nil) 0).


Your suggestion to make application (fun x : t => v) b a special case does not really work. Let us think about it more carefully.



For example, how would you deal with this, continuing the above example?



Definition a := (fun (n : nat) => cons n 42 nil).
Check a 0.


Presumably this will not work because a cannot be typed, but if we unfold its definition, we get a well-typed expression. Do you think the users will love us, or hate us for our design decision?



You need to think carefully what it means to have the "special case". If I have an application e₁ e₂, should I normalize e₁ before I decide whether it is a $lambda$-abstraction? If yes, this means I will be normalizing ill-typed expressions, and those might cycle. If no, the usability of your proposal seems questionable.



You would also break the fundamental theorem which says that every sub-expression of a well-typed expression is well-typed. That's as sensible as introducing null into Java.






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    1 Answer
    1






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    active

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    23

















    $begingroup$

    It is a common misconception that we can translate let-expresions to applications. The difference between let x : t := b in v and (fun x : t => v) b is that in the let-expression, during type-checking of v we know that x is equal to b, but in the application we do not (the subexpression fun x : t => v has to make sense on its own).



    Here is an example:



    (* Dependent type of vectors. *)
    Inductive Vector A : Type : nat -> Type :=
    | nil : Vector 0
    | cons : forall n, A -> Vector n -> Vector (S n).

    (* This works. *)
    Check (let n := 0 in cons n 42 nil).

    (* This fails. *)
    Check ((fun (n : nat) => cons n 42 nil) 0).


    Your suggestion to make application (fun x : t => v) b a special case does not really work. Let us think about it more carefully.



    For example, how would you deal with this, continuing the above example?



    Definition a := (fun (n : nat) => cons n 42 nil).
    Check a 0.


    Presumably this will not work because a cannot be typed, but if we unfold its definition, we get a well-typed expression. Do you think the users will love us, or hate us for our design decision?



    You need to think carefully what it means to have the "special case". If I have an application e₁ e₂, should I normalize e₁ before I decide whether it is a $lambda$-abstraction? If yes, this means I will be normalizing ill-typed expressions, and those might cycle. If no, the usability of your proposal seems questionable.



    You would also break the fundamental theorem which says that every sub-expression of a well-typed expression is well-typed. That's as sensible as introducing null into Java.






    share|cite|improve this answer












    $endgroup$



















      23

















      $begingroup$

      It is a common misconception that we can translate let-expresions to applications. The difference between let x : t := b in v and (fun x : t => v) b is that in the let-expression, during type-checking of v we know that x is equal to b, but in the application we do not (the subexpression fun x : t => v has to make sense on its own).



      Here is an example:



      (* Dependent type of vectors. *)
      Inductive Vector A : Type : nat -> Type :=
      | nil : Vector 0
      | cons : forall n, A -> Vector n -> Vector (S n).

      (* This works. *)
      Check (let n := 0 in cons n 42 nil).

      (* This fails. *)
      Check ((fun (n : nat) => cons n 42 nil) 0).


      Your suggestion to make application (fun x : t => v) b a special case does not really work. Let us think about it more carefully.



      For example, how would you deal with this, continuing the above example?



      Definition a := (fun (n : nat) => cons n 42 nil).
      Check a 0.


      Presumably this will not work because a cannot be typed, but if we unfold its definition, we get a well-typed expression. Do you think the users will love us, or hate us for our design decision?



      You need to think carefully what it means to have the "special case". If I have an application e₁ e₂, should I normalize e₁ before I decide whether it is a $lambda$-abstraction? If yes, this means I will be normalizing ill-typed expressions, and those might cycle. If no, the usability of your proposal seems questionable.



      You would also break the fundamental theorem which says that every sub-expression of a well-typed expression is well-typed. That's as sensible as introducing null into Java.






      share|cite|improve this answer












      $endgroup$

















        23















        23











        23







        $begingroup$

        It is a common misconception that we can translate let-expresions to applications. The difference between let x : t := b in v and (fun x : t => v) b is that in the let-expression, during type-checking of v we know that x is equal to b, but in the application we do not (the subexpression fun x : t => v has to make sense on its own).



        Here is an example:



        (* Dependent type of vectors. *)
        Inductive Vector A : Type : nat -> Type :=
        | nil : Vector 0
        | cons : forall n, A -> Vector n -> Vector (S n).

        (* This works. *)
        Check (let n := 0 in cons n 42 nil).

        (* This fails. *)
        Check ((fun (n : nat) => cons n 42 nil) 0).


        Your suggestion to make application (fun x : t => v) b a special case does not really work. Let us think about it more carefully.



        For example, how would you deal with this, continuing the above example?



        Definition a := (fun (n : nat) => cons n 42 nil).
        Check a 0.


        Presumably this will not work because a cannot be typed, but if we unfold its definition, we get a well-typed expression. Do you think the users will love us, or hate us for our design decision?



        You need to think carefully what it means to have the "special case". If I have an application e₁ e₂, should I normalize e₁ before I decide whether it is a $lambda$-abstraction? If yes, this means I will be normalizing ill-typed expressions, and those might cycle. If no, the usability of your proposal seems questionable.



        You would also break the fundamental theorem which says that every sub-expression of a well-typed expression is well-typed. That's as sensible as introducing null into Java.






        share|cite|improve this answer












        $endgroup$



        It is a common misconception that we can translate let-expresions to applications. The difference between let x : t := b in v and (fun x : t => v) b is that in the let-expression, during type-checking of v we know that x is equal to b, but in the application we do not (the subexpression fun x : t => v has to make sense on its own).



        Here is an example:



        (* Dependent type of vectors. *)
        Inductive Vector A : Type : nat -> Type :=
        | nil : Vector 0
        | cons : forall n, A -> Vector n -> Vector (S n).

        (* This works. *)
        Check (let n := 0 in cons n 42 nil).

        (* This fails. *)
        Check ((fun (n : nat) => cons n 42 nil) 0).


        Your suggestion to make application (fun x : t => v) b a special case does not really work. Let us think about it more carefully.



        For example, how would you deal with this, continuing the above example?



        Definition a := (fun (n : nat) => cons n 42 nil).
        Check a 0.


        Presumably this will not work because a cannot be typed, but if we unfold its definition, we get a well-typed expression. Do you think the users will love us, or hate us for our design decision?



        You need to think carefully what it means to have the "special case". If I have an application e₁ e₂, should I normalize e₁ before I decide whether it is a $lambda$-abstraction? If yes, this means I will be normalizing ill-typed expressions, and those might cycle. If no, the usability of your proposal seems questionable.



        You would also break the fundamental theorem which says that every sub-expression of a well-typed expression is well-typed. That's as sensible as introducing null into Java.







        share|cite|improve this answer















        share|cite|improve this answer




        share|cite|improve this answer








        edited Sep 11 at 19:24

























        answered Sep 11 at 17:11









        Andrej BauerAndrej Bauer

        22.6k1 gold badge51 silver badges91 bronze badges




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