Prove inequality of complex objects - coq

I have a pair of maps that are trivially incompatible. I'm wondering what's the graceful/automatized way to get a proof of it.
Require Import Coq.Strings.String.
(* Prelude: the total_map data structure from Software Foundations, slightly modified *)
Definition total_map := string -> nat.
Definition empty_st : total_map := (fun _ => 0).
Definition t_update (m : total_map) k v := fun k' => if string_dec k k' then v else m k'.
Notation "a '!->' x" := (t_update empty_st a x) (at level 100).
Notation "x '!->' v ';' m" := (t_update m x v) (at level 100, v at next level, right associativity).
(* The actual goal I'm trying to solve *)
Definition X: string := "X".
Definition Y: string := "Y".
Goal forall n, (X !-> n; Y !-> n) <> (X !-> 1; Y !-> 2).
Proof.
intros n contra.
remember (X !-> n; Y !-> n) as st.
remember (st X) as n1.
assert (n1 = n). { rewrite Heqn1; rewrite Heqst; cbv; reflexivity. }
assert (n1 = 1). { rewrite Heqn1; rewrite contra; cbv; reflexivity. }
remember (st Y) as n2.
assert (n2 = n). { rewrite Heqn2; rewrite Heqst; cbv; reflexivity. }
assert (n2 = 2). { rewrite Heqn2; rewrite contra; cbv; reflexivity. }
congruence.
Qed.

In order to automate this, you need to have a precise description of your proof strategy. Here is one possible proof strategy:
To prove an inequality of total_maps:
First introduce the equality hypothesis.
Then, for every key that's been added to either map, add the hypothesis that the value associated to that key is the same in both maps.
Then simplify all such equality hypotheses by unfolding t_update, using that string_dec x x is true, and seeing if any other string_decs compute down.
Finally, solve the goal by congruence.
We can automate each of these steps. Altogether, it becomes:
Require Import Coq.Strings.String.
(* Prelude: the total_map data structure from Software Foundations, slightly modified *)
Definition total_map := string -> nat.
Definition empty_st : total_map := (fun _ => 0).
Definition t_update (m : total_map) k v := fun k' => if string_dec k k' then v else m k'.
Notation "a '!->' x" := (t_update empty_st a x) (at level 100).
Notation "x '!->' v ';' m" := (t_update m x v) (at level 100, v at next level, right associativity).
(* Automation *)
(* 1. First introduce the equality hypothesis. *)
Ltac start_proving_inequality H :=
intro H.
(* 2. Then, for every key that's been added to either map, add the hypothesis that the value associated to that key is the same in both maps. *)
(* To do this, we need a tactic that will pose a proof only if it does not already exist. *)
Ltac unique_pose_proof lem :=
let T := type of lem in
lazymatch goal with
| [ H : T |- _ ] => fail 0 "A hypothesis of type" T "already exists"
| _ => pose proof lem
end.
(* Maybe move this elsewhere? *)
Definition t_get (m : total_map) k := m k.
Ltac saturate_with_keys H :=
repeat match type of H with
| context[t_update _ ?k ?v]
=> unique_pose_proof (f_equal (fun m => t_get m k) H)
end.
(* 3. Then simplify all such equality hypotheses by unfolding `t_update`, using that `string_dec x x` is true, and seeing if any other `string_dec`s compute down. *)
Require Import Coq.Logic.Eqdep_dec.
Lemma string_dec_refl x : string_dec x x = left eq_refl.
Proof.
destruct (string_dec x x); [ apply f_equal | congruence ].
apply UIP_dec, string_dec.
Qed.
(* N.B. You can add more cases here to deal with other sorts of ways you might reduce [t_get] here *)
Ltac simplify_t_get_t_update_in H :=
repeat first [ progress cbv [t_get t_update empty_st] in H
| match type of H with
| context[string_dec ?x ?x] => rewrite (string_dec_refl x) in H
| context[string_dec ?x ?y]
=> let v := (eval cbv in (string_dec x y)) in
(* check that it fully reduces *)
lazymatch v with left _ => idtac | right _ => idtac end;
progress change (string_dec x y) with v in H
end ].
Ltac simplify_t_get_t_update :=
(* first we must change hypotheses of the form [(fun m => t_get m k) m = (fun m => t_get m k) m'] into [t_get _ _ = t_get _ _] *)
cbv beta in *;
repeat match goal with
| [ H : t_get _ _ = t_get _ _ |- _ ] => progress simplify_t_get_t_update_in H
end.
(* 4. Finally, solve the goal by `congruence`. *)
Ltac finish_proving_inequality := congruence.
(* Now we put it all together *)
Ltac prove_total_map_inequality :=
let H := fresh in
start_proving_inequality H;
saturate_with_keys H;
simplify_t_get_t_update;
finish_proving_inequality.
(* The actual goal I'm trying to solve *)
Definition X: string := "X".
Definition Y: string := "Y".
Goal forall n, (X !-> n; Y !-> n) <> (X !-> 1; Y !-> 2).
intros.
prove_total_map_inequality.
Qed.

Based on Jason Gross's answer and the fact that total_map is a decidable type, I've put together a bit of automation to deal with this. Note that this problem would probably be a very good fit for small-scale reflection.
(* TODO: don't bring trivial (n = n) or duplicated hypotheses into scope *)
(* Given two maps left and right, plus a lemma that they are equal, plus some key: assert that the values of the maps agree at the specified key *)
Ltac invert_total_map_equality_for_id lemma left right id :=
let H := fresh "H" in
assert (left id = right id) as H by (rewrite lemma; reflexivity);
cbv in H.
(* Recurse on the LHS map, extracting keys *)
Ltac invert_total_map_equality_left lemma left right left_remaining :=
match left_remaining with
| t_update ?left_remaining' ?id _ =>
invert_total_map_equality_for_id lemma left right id;
invert_total_map_equality_left lemma left right left_remaining'
| _ => idtac
end.
(* Recurse on the RHS map, extracting keys; move on to LHS once we've done all RHS keys *)
Ltac invert_total_map_equality_right lemma left right right_remaining :=
match right_remaining with
| t_update ?right_remaining' ?id _ =>
invert_total_map_equality_for_id lemma left right id;
invert_total_map_equality_right lemma left right right_remaining'
| _ => invert_total_map_equality_left lemma left right left
end.
(* Given a lemma that two total maps are equal, assert that their values agree at each defined key *)
Ltac invert_total_map_equality lem :=
let T := type of lem in
match T with
| ?left = ?right =>
match type of left with
| string -> nat =>
match type of right with
| string -> nat =>
invert_total_map_equality_right lem left right right
end
end
end.
Goal forall n, (X !-> n; Y !-> n) <> (X !-> 1; Y !-> 2).
Proof.
unfold not; intros.
invert_total_map_equality H.
congruence.
Qed.

Related

Proving that s-expressions printing is injective

I defined a type of s-expressions and it's printing functions.
Inductive sexp : Set :=
K : string -> (list sexp) -> sexp
.
Fixpoint sexpprint (s:sexp) : list string :=
match s with
K n l => ["("%string]++[n]++(concat (map sexpprint l))++[")"%string]
end.
(Yes, I understand it can be just string, not the list of strings, but Coq have small amount of theorems for working with strings, but a big amount for working with lists.)
(* more usual function
Fixpoint sexpprint (s:sexp) :string :=
match s with
K n l => ("(":string)++n++(String.concat "" (map sexpprint l))++")"
end.
*)
And I've got stuck trying to prove this theorem:
Theorem sexpprint_inj s1 s2:
sexpprint s1 = sexpprint s2 -> s1 = s2.
Maybe there are some sources which can help me to plan the theorem's proof? (books/articles/codes) How to prove it?
(Maybe I need a special kind of inductive principle, could you formulate its statement?)
Also I defined depth function, it may somehow help
Fixpoint depth (s:sexp) : nat :=
match s with
K n l =>
(match l with
nil => 0
| _ => S (list_max (map depth l))
end)
end.
Thanks!
p.s. some additional thoughts:
Theorem depth_decr n l s m:
depth (K n l) = m
->
In s l
->
depth s < m
.
Proof.
Admitted.
Theorem step_lem (m:nat) :
(forall s1 s2,
depth s1 < m ->
depth s2 < m ->
sexpprint s1 = sexpprint s2 -> s1 = s2
) ->
(forall s1 s2,
depth s1 = m ->
depth s2 = m ->
sexpprint s1 = sexpprint s2 -> s1 = s2
).
Proof.
intros H s1 s2 Q1 Q2 E.
destruct s1 as [n1 l1], s2 as [n2 l2].
simpl in E.
inversion E as [E1].
apply (app_inv_tail) in H0.
Search "concat".
cut (l1=l2).
intros []; reflexivity.
Search "In".
induction l1, l2.
+ trivial.
+ simpl in H0.
destruct s.
unfold sexpprint in H0.
simpl in H0.
inversion H0.
+ simpl in H0.
destruct a.
unfold sexpprint in H0.
simpl in H0.
inversion H0.
+ admit.
Admitted.
p.p.s. I feel like the main obstacle is performing induction on two lists.
The type sexp is an example of a nested inductive type, where one of the recursive occurrences appears inside of another induction. Such types are hard to work with in Coq, because the induction principles that it generates by default are not useful. However, you can fix this issue by writing down your own induction principle by hand. Here is one possibility:
Require Import Coq.Lists.List Coq.Strings.String.
Import ListNotations.
Unset Elimination Schemes.
Inductive sexp : Type :=
| K : string -> list sexp -> sexp.
Set Elimination Schemes.
Definition tuple (T : sexp -> Type) (es : list sexp) :=
fold_right (fun e R => T e * R)%type unit es.
Definition sexp_rect
(T : sexp -> Type)
(H : forall s es, tuple T es -> T (K s es)) :
forall e, T e :=
fix outer (e : sexp) : T e :=
match e with
| K s es =>
let fix inner (es : list sexp) : tuple T es :=
match es return tuple T es with
| [] => tt
| e :: es => (outer e, inner es)
end in
H s es (inner es)
end.
Definition sexp_ind (T : sexp -> Prop) := sexp_rect T.
With this induction principle, it is now possible to prove your lemma (exercise!), but you will need to generalize its statement a bit.
For a deeper discussion about these nested inductives, you can have a look at CPDT.

Theorem that finding in a list works properly

I am proving theorem about finding in a list. I got stuck at proving that if you actually found something then it is true. What kind of lemmas or strategy may help for proving such kind of theorems? I mean it looks like induction on the list is not enough in this case. But still the theorem is surely true.
(*FIND P = OPTION_MAP (SND :num # α -> α ) ∘ INDEX_FIND (0 :num) P*)
Require Import List.
Require Import Nat.
Fixpoint INDEX_FIND {a:Type} (i:nat) (P:a->bool) (l:list a) :=
match l with
| nil => None
| (h::t) => if P h then Some (i,h) else INDEX_FIND (S i) P t
end.
Definition FIND {a:Type} (P:a->bool) (l:list a)
:= (option_map snd) (INDEX_FIND 0 P l).
Theorem find_prop {a:Type} P l (x:a):
(FIND P l) = Some x
->
(P x)=true.
Proof.
unfold FIND.
unfold option_map.
induction l.
+ simpl.
intro H. inversion H.
+ simpl.
destruct (P a0).
- admit.
- admit.
Admitted.
(this is a translation of definition from HOL4 which also lacks such kind of theorem)
HOL version of the theorem:
Theorem find_prop:
FIND (P:α->bool) (l:α list) = SOME x ⇒ P x
Proof
cheat
QED
It looks like what you are missing is an equation relating P a0 and its destructed value. This can be obtained with the variant of destruct documented there destruct (P a0) eqn:H.
You may want to try to strengthen the property before proving your theorem. Using the SSReflect proof language, you can try the following route.
Lemma index_find_prop {a:Type} P (x:a) l :
forall i j, (INDEX_FIND i P l) = Some (j, x) -> P x = true.
Proof.
elim: l => [//=|x' l' IH i j].
rewrite /INDEX_FIND.
case Px': (P x').
- by case=> _ <-.
- exact: IH.
Qed.
Lemma opt_snd_inv A B X x :
option_map (#snd A B) X = Some x -> exists j, X = Some (j, x).
Proof.
case: X => ab; last by [].
rewrite (surjective_pairing ab) /=.
case=> <-.
by exists ab.1.
Qed.
Theorem find_prop {a:Type} P l (x:a):
(FIND P l) = Some x -> (P x)=true.
Proof.
rewrite /FIND => /(#opt_snd_inv _ _ (INDEX_FIND 0 P l) x) [j].
exact: index_find_prop.
Qed.
I'm confident there are shorter proofs ;)

How to prove that terms of a first-order language are well-founded?

Currently, I've started working on proving theorems about first-order logic in Coq(VerifiedMathFoundations). I've proved deduction theorem, but then I got stuck with lemma 1 for theorem of correctness. So I've formulated one elegant piece of the lemma compactly and I invite the community to look at it. That is an incomplete the proof of well-foundness of the terms. How to get rid of the pair of "admit"s properly?
(* PUBLIC DOMAIN *)
Require Export Coq.Vectors.Vector.
Require Export Coq.Lists.List.
Require Import Bool.Bool.
Require Import Logic.FunctionalExtensionality.
Require Import Coq.Program.Wf.
Definition SetVars := nat.
Definition FuncSymb := nat.
Definition PredSymb := nat.
Record FSV := {
fs : FuncSymb;
fsv : nat;
}.
Record PSV := MPSV{
ps : PredSymb;
psv : nat;
}.
Inductive Terms : Type :=
| FVC :> SetVars -> Terms
| FSC (f:FSV) : (Vector.t Terms (fsv f)) -> Terms.
Definition rela : forall (x y:Terms), Prop.
Proof.
fix rela 2.
intros x y.
destruct y as [s|f t].
+ exact False.
+ refine (or _ _).
exact (Vector.In x t).
simple refine (#Vector.fold_left Terms Prop _ False (fsv f) t).
intros Q e.
exact (or Q (rela x e)).
Defined.
Definition snglV {A} (a:A) := Vector.cons A a 0 (Vector.nil A).
Definition wfr : #well_founded Terms rela.
Proof.
clear.
unfold well_founded.
assert (H : forall (n:Terms) (a:Terms), (rela a n) -> Acc rela a).
{ fix iHn 1.
destruct n.
+ simpl. intros a b; destruct b.
+ simpl. intros a Q. destruct Q as [L|R].
* admit. (* smth like apply Acc_intro. intros m Hm. apply (iHn a). exact Hm. *)
* admit. (* like in /Arith/Wf_nat.v *)
}
intros a.
simple refine (H _ _ _).
exact (FSC (Build_FSV 0 1) (snglV a)).
simpl.
apply or_introl.
constructor.
Defined.
It is also available here: pastebin.
Update: At least transitivity is needed for well-foundness. I also started a proof, but didn't finished.
Fixpoint Tra (a b c:Terms) (Hc : rela c b) (Hb : rela b a) {struct a}: rela c a.
Proof.
destruct a.
+ simpl in * |- *.
exact Hb.
+ simpl in * |- *.
destruct Hb.
- apply or_intror.
revert f t H .
fix RECU 1.
intros f t H.
(* ... *)
Admitted.
You can do it by defining a height function on Terms, and showing that decreasing rela implies decreasing heights:
Require Export Coq.Vectors.Vector.
Require Export Coq.Lists.List.
Require Import Bool.Bool.
Require Import Logic.FunctionalExtensionality.
Require Import Coq.Program.Wf.
Definition SetVars := nat.
Definition FuncSymb := nat.
Definition PredSymb := nat.
Record FSV := {
fs : FuncSymb;
fsv : nat;
}.
Record PSV := MPSV{
ps : PredSymb;
psv : nat;
}.
Unset Elimination Schemes.
Inductive Terms : Type :=
| FVC :> SetVars -> Terms
| FSC (f:FSV) : (Vector.t Terms (fsv f)) -> Terms.
Set Elimination Schemes.
Definition Terms_rect (T : Terms -> Type)
(H_FVC : forall sv, T (FVC sv))
(H_FSC : forall f v, (forall n, T (Vector.nth v n)) -> T (FSC f v)) :=
fix loopt (t : Terms) : T t :=
match t with
| FVC sv => H_FVC sv
| FSC f v =>
let fix loopv s (v : Vector.t Terms s) : forall n, T (Vector.nth v n) :=
match v with
| #Vector.nil _ => Fin.case0 _
| #Vector.cons _ t _ v => fun n => Fin.caseS' n (fun n => T (Vector.nth (Vector.cons _ t _ v) n))
(loopt t)
(loopv _ v)
end in
H_FSC f v (loopv _ v)
end.
Definition Terms_ind := Terms_rect.
Fixpoint height (t : Terms) : nat :=
match t with
| FVC _ => 0
| FSC f v => S (Vector.fold_right (fun t acc => Nat.max acc (height t)) v 0)
end.
Definition rela : forall (x y:Terms), Prop.
Proof.
fix rela 2.
intros x y.
destruct y as [s|f t].
+ exact False.
+ refine (or _ _).
exact (Vector.In x t).
simple refine (#Vector.fold_left Terms Prop _ False (fsv f) t).
intros Q e.
exact (or Q (rela x e)).
Defined.
Require Import Lia.
Definition wfr : #well_founded Terms rela.
Proof.
apply (Wf_nat.well_founded_lt_compat _ height).
intros t1 t2. induction t2 as [sv2|f2 v2 IH]; simpl; try easy.
intros [t_v|t_sub]; apply Lt.le_lt_n_Sm.
{ clear IH. induction t_v; simpl; lia. }
revert v2 IH t_sub; generalize (fsv f2); clear f2.
intros k v2 IH t_sub.
enough (H : exists n, rela t1 (Vector.nth v2 n)).
{ destruct H as [n H]. apply IH in H. clear IH t_sub.
transitivity (height (Vector.nth v2 n)); try lia; clear H.
induction v2 as [|t2 m v2 IHv2].
- inversion n.
- apply (Fin.caseS' n); clear n; simpl; try lia.
intros n. specialize (IHv2 n). lia. }
clear IH.
assert (H : Vector.fold_right (fun t Q => Q \/ rela t1 t) v2 False).
{ revert t_sub; generalize False.
induction v2 as [|t2 n v2]; simpl in *; trivial.
intros P H; specialize (IHv2 _ H); clear H.
induction v2 as [|t2' n v2 IHv2']; simpl in *; tauto. }
clear t_sub.
induction v2 as [|t2 k v2 IH]; simpl in *; try easy.
destruct H as [H|H].
- apply IH in H.
destruct H as [n Hn].
now exists (Fin.FS n).
- now exists Fin.F1.
Qed.
(Note the use of the custom induction principle, which is needed because of the nested inductives.)
This style of development, however, is too complicated. Avoiding certain pitfalls would greatly simplify it:
The Coq standard vector library is too hard to use. The issue here is exacerbated because of the nested inductives. It would probably be better to use plain lists and have a separate well-formedness predicate on terms.
Defining a relation such as rela in proof mode makes it harder to read. Consider, for instance, the following simpler alternative:
Fixpoint rela x y :=
match y with
| FVC _ => False
| FSC f v =>
Vector.In x v \/
Vector.fold_right (fun z P => rela x z \/ P) v False
end.
Folding left has a poor reduction behavior, because it forces us to generalize over the accumulator argument to get the induction to go through. This is why in my proof I had to switch to a fold_right.

coq induction with passing in equality

I have a list with a known value and want to induct on it, keeping track of what the original list was, and referring to it by element. That is, I need to refer to it by l[i] with varying i instead of just having (a :: l).
I tried to make an induction principle to allow me to do that. Here is a program with all of the unnecessary Theorems replaced with Admitted, using a simplified example. The objective is to prove allLE_countDown using countDown_nth, and have list_nth_rect in a convenient form. (The theorem is easy to prove directly without any of those.)
Require Import Arith.
Require Import List.
Definition countDown1 := fix f a i := match i with
| 0 => nil
| S i0 => (a + i0) :: f a i0
end.
(* countDown from a number to another, excluding greatest. *)
Definition countDown a b := countDown1 b (a - b).
Theorem countDown_nth a b i d (boundi : i < length (countDown a b))
: nth i (countDown a b) d = a - i - 1.
Admitted.
Definition allLE := fix f l m := match l with
| nil => true
| a :: l0 => if Nat.leb a m then f l0 m else false
end.
Definition drop {A} := fix f (l : list A) n := match n with
| 0 => l
| S a => match l with
| nil => nil
| _ :: l2 => f l2 a
end
end.
Theorem list_nth_rect_aux {A : Type} (P : list A -> list A -> nat -> Type)
(Pnil : forall l, P l nil (length l))
(Pcons : forall i s l d (boundi : i < length l), P l s (S i) -> P l ((nth i l d) :: s) i)
l s i (size : length l = i + length s) (sub : s = drop l i) : P l s i.
Admitted.
Theorem list_nth_rect {A : Type} (P : list A -> list A -> nat -> Type)
(Pnil : forall l, P l nil (length l))
(Pcons : forall i s l d (boundi : i < length l), P l s (S i) -> P l ((nth i l d) :: s) i)
l s (leqs : l = s): P l s 0.
Admitted.
Theorem allLE_countDown a b : allLE (countDown a b) a = true.
remember (countDown a b) as l.
refine (list_nth_rect (fun l s _ => l = countDown a b -> allLE s a = true) _ _ l l eq_refl Heql);
intros; subst; [ apply eq_refl | ].
rewrite countDown_nth; [ | apply boundi ].
pose proof (Nat.le_sub_l a (i + 1)).
rewrite Nat.sub_add_distr in H0.
apply leb_correct in H0.
simpl; rewrite H0; clear H0.
apply (H eq_refl).
Qed.
So, I have list_nth_rect and was able to use it with refine to prove the theorem by referring to the nth element, as desired. However, I had to construct the Proposition P myself. Normally, you'd like to use induction.
This requires distinguishing which elements are the original list l vs. the sublist s that is inducted on. So, I can use remember.
Theorem allLE_countDown a b : allLE (countDown a b) a = true.
remember (countDown a b) as s.
remember s as l.
rewrite Heql.
This puts me at
a, b : nat
s, l : list nat
Heql : l = s
Heqs : l = countDown a b
============================
allLE s a = true
However, I can't seem to pass the equality as I just did above. When I try
induction l, s, Heql using list_nth_rect.
I get the error
Error: Abstracting over the terms "l", "s" and "0" leads to a term
fun (l0 : list ?X133#{__:=a; __:=b; __:=s; __:=l; __:=Heql; __:=Heqs})
(s0 : list ?X133#{__:=a; __:=b; __:=s; __:=l0; __:=Heql; __:=Heqs})
(_ : nat) =>
(fun (l1 l2 : list nat) (_ : l1 = l2) =>
l1 = countDown a b -> allLE l2 a = true) l0 s0 Heql
which is ill-typed.
Reason is: Illegal application:
The term
"fun (l l0 : list nat) (_ : l = l0) =>
l = countDown a b -> allLE l0 a = true" of type
"forall l l0 : list nat, l = l0 -> Prop"
cannot be applied to the terms
"l0" : "list nat"
"s0" : "list nat"
"Heql" : "l = s"
The 3rd term has type "l = s" which should be coercible to
"l0 = s0".
So, how can I change the induction principle
such that it works with the induction tactic?
It looks like it's getting confused between
the outer variables and the ones inside the
function. But, I don't have a way to talk
about the inner variables that aren't in scope.
It's very strange, since invoking it with
refine works without issues.
I know for match, there's as clauses, but
I can't figure out how to apply that here.
Or, is there a way to make list_nth_rect use
P l l 0 and still indicate which variables correspond to l and s?
First, you can prove this result much more easily by reusing more basic ones. Here's a version based on definitions of the ssreflect library:
From mathcomp
Require Import ssreflect ssrfun ssrbool ssrnat eqtype seq.
Definition countDown n m := rev (iota m (n - m)).
Lemma allLE_countDown n m : all (fun k => k <= n) (countDown n m).
Proof.
rewrite /countDown all_rev; apply/allP=> k; rewrite mem_iota.
have [mn|/ltnW] := leqP m n.
by rewrite subnKC //; case/andP => _; apply/leqW.
by rewrite -subn_eq0 => /eqP ->; rewrite addn0 ltnNge andbN.
Qed.
Here, iota n m is the list of m elements that counts starting from n, and all is a generic version of your allLE. Similar functions and results exist in the standard library.
Back to your original question, it is true that sometimes we need to induct on a list while remembering the entire list we started with. I don't know if there is a way to get what you want with the standard induction tactic; I didn't even know that it had a multi-argument variant. When I want to prove P l using this strategy, I usually proceed as follows:
Find a predicate Q : nat -> Prop such that Q (length l) implies P l. Typically, Q n will have the form n <= length l -> R (take n l) (drop n l), where R : list A -> list A -> Prop.
Prove Q n for all n by induction.
I do not know if this answers your question, but induction seems to accept with clauses. Thus, you can write the following.
Theorem allLE_countDown a b : allLE (countDown a b) a = true.
remember (countDown a b) as s.
remember s as l.
rewrite Heql.
induction l, s, Heql using list_nth_rect
with (P:=fun l s _ => l = countDown a b -> allLE s a = true).
But the benefit is quite limited w.r.t. the refine version, since you need to specify manually the predicate.
Now, here is how I would have proved such a result using objects from the standard library.
Require Import List. Import ListNotations.
Require Import Omega.
Definition countDown1 := fix f a i := match i with
| 0 => nil
| S i0 => (a + i0) :: f a i0
end.
(* countDown from a number to another, excluding greatest. *)
Definition countDown a b := countDown1 b (a - b).
Theorem countDown1_nth a i k d (boundi : k < i) :
nth k (countDown1 a i) d = a + i -k - 1.
Proof.
revert k boundi.
induction i; intros.
- inversion boundi.
- simpl. destruct k.
+ omega.
+ rewrite IHi; omega.
Qed.
Lemma countDown1_length a i : length (countDown1 a i) = i.
Proof.
induction i.
- reflexivity.
- simpl. rewrite IHi. reflexivity.
Qed.
Theorem countDown_nth a b i d (boundi : i < length (countDown a b))
: nth i (countDown a b) d = a - i - 1.
Proof.
unfold countDown in *.
rewrite countDown1_length in boundi.
rewrite countDown1_nth.
replace (b+(a-b)) with a by omega. reflexivity. assumption.
Qed.
Theorem allLE_countDown a b : Forall (ge a) (countDown a b).
Proof.
apply Forall_forall. intros.
apply In_nth with (d:=0) in H.
destruct H as (n & H & H0).
rewrite countDown_nth in H0 by assumption. omega.
Qed.
EDIT:
You can state an helper lemma to make an even more concise proof.
Lemma Forall_nth : forall {A} (P:A->Prop) l,
(forall d i, i < length l -> P (nth i l d)) ->
Forall P l.
Proof.
intros. apply Forall_forall.
intros. apply In_nth with (d:=x) in H0.
destruct H0 as (n & H0 & H1).
rewrite <- H1. apply H. assumption.
Qed.
Theorem allLE_countDown a b : Forall (ge a) (countDown a b).
Proof.
apply Forall_nth.
intros. rewrite countDown_nth. omega. assumption.
Qed.
The issue is that, for better or for worse, induction seems to assume that its arguments are independent. The solution, then, is to let induction automatically infer l and s from Heql:
Theorem list_nth_rect {A : Type} {l s : list A} (P : list A -> list A -> nat -> Type)
(Pnil : P l nil (length l))
(Pcons : forall i s d (boundi : i < length l), P l s (S i) -> P l ((nth i l d) :: s) i)
(leqs : l = s): P l s 0.
Admitted.
Theorem allLE_countDown a b : allLE (countDown a b) a = true.
remember (countDown a b) as s.
remember s as l.
rewrite Heql.
induction Heql using list_nth_rect;
intros; subst; [ apply eq_refl | ].
rewrite countDown_nth; [ | apply boundi ].
pose proof (Nat.le_sub_l a (i + 1)).
rewrite Nat.sub_add_distr in H.
apply leb_correct in H.
simpl; rewrite H; clear H.
assumption.
Qed.
I had to change around the type of list_nth_rect a bit; I hope I haven't made it false.

Folding back after unfolding

I have fold_length defined like this:
Inductive list (X: Type) : Type :=
| nil : list X
| cons : X -> list X -> list X.
Arguments nil {X}.
Arguments cons {X} _ _.
Notation "x :: y" := (cons x y)
(at level 60, right associativity).
Notation "[ ]" := nil.
Fixpoint fold {X Y:Type} (f: X -> Y -> Y) (l:list X) (b:Y) : Y :=
match l with
| nil => b
| h :: t => f h (fold f t b)
end.
Definition fold_length {X : Type} (l : list X) : nat :=
fold (fun _ n => S n) l 0.
I have to prove a theorem and this is my code so far:
Theorem fold_length_correct : forall X (l : list X),
fold_length l = length l.
Proof.
intros X l.
induction l as [| n l' IHl'].
- simpl.
unfold fold_length.
simpl.
reflexivity.
- simpl.
unfold fold_length.
simpl.
Right now, my goal looks like this:
X : Type
n : X
l' : list X
IHl' : fold_length l' = length l'
============================
S (fold (fun (_ : X) (n0 : nat) => S n0) l' 0) = S (length l')
Now I want to convert the expression (fold (fun (_ : X) (n0 : nat) => S n0) l' 0) to fold_length l' using the definition of fold_length. Is there a way to do that in Coq (There seems to something named fold tactic in Coq. Can that achieve this.) ?
Also, is there a way to prove the above theorem without the usage of unfold and fold tactic ?
To answer your first question, yes, the fold tactic can be used here to replace the left side of the equality with S (fold_length l'). Usually, for a function f, fold f is not powerful enough to detect what it can fold. But if you specify the whole term, like here fold (fold_length l'), it works.
Regarding your second question, note that tactics like reflexivity or assumption can conclude if the terms involved are equal up to some simplifications. Here, the base case of the induction can be just reflexivity. For the second case, assuming that fold is List.fold_right, simpl can surprisingly simplify without unfolding and you should not need unfold or fold here either.