How to eliminate a disjunction inside of an expression? - coq

Lemma In_map_iff :
forall (A B : Type) (f : A -> B) (l : list A) (y : B),
In y (map f l) <->
exists x, f x = y /\ In x l.
Proof.
split.
- generalize dependent y.
generalize dependent f.
induction l.
+ intros. inversion H.
+ intros.
simpl.
simpl in H.
destruct H.
* exists x.
split.
apply H.
left. reflexivity.
*
1 subgoal
A : Type
B : Type
x : A
l : list A
IHl : forall (f : A -> B) (y : B),
In y (map f l) -> exists x : A, f x = y /\ In x l
f : A -> B
y : B
H : In y (map f l)
______________________________________(1/1)
exists x0 : A, f x0 = y /\ (x = x0 \/ In x0 l)
Since proving exists x0 : A, f x0 = y /\ (x = x0 \/ In x0 l) is the same as proving exists x0 : A, f x0 = y /\ In x0 l, I want to eliminate x = x0 inside the goal here so I can apply the inductive hypothesis, but I am not sure how to do this. I've tried left in (x = x0 \/ In x0 l) and various other things, but I haven't been successful in making it happen. As it turns out, defining a helper function of type forall a b c, (a /\ c) -> a /\ (b \/ c) to do the rewriting does not work for terms under an existential either.
How could this be done?
Note that the above is one of the SF book exercises.

You can get access to the components of your inductive hypothesis with any of the following:
specialize (IHl f y h); destruct IHl
destruct (IHl f y H)
edestruct IHl
You can then use exists and split to manipulate the goal into a form that is easier to work with.

As it turns out, it is necessary to define a helper.
Lemma In_map_iff_helper : forall (X : Type) (a b c : X -> Prop),
(exists q, (a q /\ c q)) -> (exists q, a q /\ (b q \/ c q)).
Proof.
intros.
destruct H.
exists x.
destruct H.
split.
apply H.
right.
apply H0.
Qed.
This does the rewriting that is needed right off the bat. I made a really dumb error thinking that I needed a tactic rather than an auxiliary lemma. I should have studied the preceding examples more closely - if I did, I'd have realized that existentials need to be accounted for.

Related

Don't understand `destruct` tactic on hypothesis `~ (exists x : X, ~ P x)` in Coq

I'm new to Coq and try to learn it through Software foundations. In the chapter "Logic in Coq", there is an exercise not_exists_dist which I completed (by guessing) but not understand:
Theorem not_exists_dist :
excluded_middle →
∀ (X:Type) (P : X → Prop),
¬ (∃ x, ¬ P x) → (∀ x, P x).
Proof.
intros em X P H x.
destruct (em (P x)) as [T | F].
- apply T.
- destruct H. (* <-- This step *)
exists x.
apply F.
Qed.
Before the destruct, the context and goal looks like:
em: excluded_middle
X: Type
P: X -> Prop
H: ~ (exists x : X, ~ P x)
x: X
F: ~ P x
--------------------------------------
(1/1)
P x
And after it
em: excluded_middle
X: Type
P: X -> Prop
x: X
F: ~ P x
--------------------------------------
(1/1)
exists x0 : X, ~ P x0
While I understand destruct on P /\ Q and P \/ Q in hypothesis, I don't understand how it works on P -> False like here.
Let me try to give some intuition behind this by doing another proof first.
Consider:
Goal forall A B C : Prop, A -> C -> (A \/ B -> B \/ C -> A /\ B) -> A /\ B.
Proof.
intros. (*eval up to here*)
Admitted.
What you will see in *goals* is:
1 subgoal (ID 77)
A, B, C : Prop
H : A
H0 : C
H1 : A ∨ B → B ∨ C → A ∧ B
============================
A ∧ B
Ok, so we need to show A /\ B. We can use split to break the and apart, thus we need to show A and B. A follows easily by assumption, B is something we do not have. So, our proof script now might look like:
Goal forall A B C : Prop, A -> C -> (A \/ B -> B \/ C -> A /\ B) -> A /\ B.
Proof.
intros. split; try assumption. (*eval up to here*)
Admitted.
With goals:
1 subgoal (ID 80)
A, B, C : Prop
H : A
H0 : C
H1 : A ∨ B → B ∨ C → A ∧ B
============================
B
The only way we can get to the B is by somehow using H1. Let's see what destruct H1 does to our goals:
3 subgoals (ID 86)
A, B, C : Prop
H : A
H0 : C
============================
A ∨ B
subgoal 2 (ID 87) is:
B ∨ C
subgoal 3 (ID 93) is:
B
We get additional subgoals! In order to destruct H1 we need to provide it proofs for A \/ B and B \/ C, we cannot destruct A /\ B otherwise!
For the sake of completeness: (without the split;try assumption shorthand)
Goal forall A B C : Prop, A -> C -> (A \/ B -> B \/ C -> A /\ B) -> A /\ B.
Proof.
intros. split.
- assumption.
- destruct H1.
+ left. assumption.
+ right. assumption.
+ assumption.
Qed.
Another way to view it is this: H1 is a function that takes A \/ B and B \/ C as input. destruct works on its output. In order to destruct the result of such a function, you need to give it an appropriate input.
Then, destruct performs a case analysis without introducing additional goals.
We can do that in the proof script as well before destructing:
Goal forall A B C : Prop, A -> C -> (A \/ B -> B \/ C -> A /\ B) -> A /\ B.
Proof.
intros. split.
- assumption.
- specialize (H1 (or_introl H) (or_intror H0)).
destruct H1.
assumption.
Qed.
From a proof term perspective, destruct of A /\ B is the same as match A /\ B with conj H1 H2 => (*construct a term that has your goal as its type*) end.
We can replace the destruct in our proof script with a corresponding refine that does exactly that:
Goal forall A B C : Prop, A -> C -> (A \/ B -> B \/ C -> A /\ B) -> A /\ B.
Proof.
intros. unfold not in H0. split.
- assumption.
- specialize (H1 (or_introl H) (or_intror H0)).
refine (match H1 with conj Ha Hb => _ end).
exact Hb.
Qed.
Back to your proof. Your goals before destruct
em: excluded_middle
X: Type
P: X -> Prop
H: ~ (exists x : X, ~ P x)
x: X
F: ~ P x
--------------------------------------
(1/1)
P x
After applying the unfold not in H tactic you see:
em: excluded_middle
X: Type
P: X -> Prop
H: (exists x : X, P x -> ⊥) -> ⊥
x: X
F: ~ P x
--------------------------------------
(1/1)
P x
Now recall the definition of ⊥: It's a proposition that cannot be constructed, i.e. it has no constructors.
If you somehow have ⊥ as an assumption and you destruct, you essentially look at the type of match ⊥ with end, which can be anything.
In fact, we can prove any goal with it:
Goal (forall (A : Prop), A) <-> False. (* <- note that this is different from *)
Proof. (* forall (A : Prop), A <-> False *)
split; intros.
- specialize (H False). assumption.
- refine (match H with end).
Qed.
Its proofterm is:
(λ (A B C : Prop) (H : A) (H0 : C) (H1 : A ∨ B → B ∨ C → A ∧ B),
conj H (let H2 : A ∧ B := H1 (or_introl H) (or_intror H0) in match H2 with
| conj _ Hb => Hb
end))
Anyhow, destruct on your assumption H will give you a proof for your goal if you are able to show exists x : X, ~ P x -> ⊥.
Instead of destruct, you could also do exfalso. apply H. to achieve the same thing.
Normally, destruct t applies when t is an inhabitant of an inductive type I, giving you one goal for each possible constructor for I that could have been used to produce t. Here as you remarked H has type P -> False, which is not an inductive type, but False is. So what happens is this: destruct gives you a first goal corresponding to the P hypothesis of H. Applying H to that goal leads to a term of type False, which is an inductive type, on which destruct works as it should, giving you zero goals since False has no constructors. Many tactics for inductive types work like this on hypothesis of the form P1 -> … -> Pn -> I where I is an inductive type: they give you side-goals for P1 … Pn, and then work on I.

Minimum in non-empty, finite set

With the following definitions I want to prove lemma without_P
Variable n : nat.
Definition mnnat := {m : nat | m < n}.
Variable f : mnnat -> nat.
Lemma without_P : (exists x : mnnat, True) -> (exists x, forall y, f x <= f y).
Lemma without_P means: if you know (the finite) set mnnat is not empty, then there must exist an element in mnnat, that is the smallest of them all, after mapping f onto mnnat.
We know mnnat is finite, as there are n-1 numbers in it and in the context of the proof of without_P we also know mnnat is not empty, because of the premise (exists x : mnnat, True).
Now mnnat being non-empty and finite "naturally/intuitively" has some smallest element (after applying f on all its elements).
At the moment I am stuck at the point below, where I thought to proceed by induction over n, which is not allowed.
1 subgoal
n : nat
f : mnnat -> nat
x : nat
H' : x < n
______________________________________(1/1)
exists (y : nat) (H0 : y < n),
forall (y0 : nat) (H1 : y0 < n),
f (exist (fun m : nat => m < n) y H0) <= f (exist (fun m : nat => m < n) y0 H1)
My only idea here is to assert the existance of a function f' : nat -> nat like this: exists (f' : nat -> nat), forall (x : nat) (H0: x < n), f' (exist (fun m : nat => m < n) x H0) = f x, after solving this assertion I have proven the lemma by induction over n. How can I prove this assertion?
Is there a way to prove "non-empty, finite sets (after applying f to each element) have a minimum" more directly? My current path seems too hard for my Coq-skills.
Require Import Psatz Arith. (* use lia to solve the linear integer arithmetic. *)
Variable f : nat -> nat.
This below is essentially your goal, modulo packing of the statement into some dependent type. (It doesn't say that mi < n, but you can extend the proof statement to also contain that.)
Goal forall n, exists mi, forall i, i < n -> f mi <= f i.
induction n; intros.
- now exists 0; inversion 1. (* n cant be zero *)
- destruct IHn as [mi IHn]. (* get the smallest pos mi, which is < n *)
(* Is f mi still smallest, or is f n the smallest? *)
(* If f mi < f n then mi is the position of the
smallest value, otherwise n is that position,
so consider those two cases. *)
destruct (lt_dec (f mi) (f n));
[ exists mi | exists n];
intros.
+ destruct (eq_nat_dec i n).
subst; lia.
apply IHn; lia.
+ destruct (eq_nat_dec i n).
subst; lia.
apply le_trans with(f mi).
lia.
apply IHn.
lia.
Qed.
Your problem is an specific instance of a more general result which is proven for example in math-comp. There, you even have a notation for denoting "the minimal x such that it meets P", where P must be a decidable predicate.
Without tweaking your statement too much, we get:
From mathcomp Require Import all_ssreflect.
Variable n : nat.
Variable f : 'I_n.+1 -> nat.
Lemma without_P : exists x, forall y, f x <= f y.
Proof.
have/(_ ord0)[] := arg_minP (P:=xpredT) f erefl => i _ P.
by exists i => ?; apply/P.
Qed.
I found a proof to my assertion (exists (f' : nat -> nat), forall (x : nat) (H0: x < n), f (exist (fun m : nat => m < n) x H0) = f' x). by proving the similar assertion (exists (f' : nat -> nat), forall x : mnnat, f x = f' (proj1_sig x)). with Lemma f'exists. The first assertion then follows almost trivially.
After I proved this assertion I can do a similar proof to user larsr, to prove Lemma without_P.
I used the mod-Function to convert any nat to a nat smaller then n, apart from the base case of n = 0.
Lemma mod_mnnat : forall m,
n > 0 -> m mod n < n.
Proof.
intros.
apply PeanoNat.Nat.mod_upper_bound.
intuition.
Qed.
Lemma mod_mnnat' : forall m,
m < n -> m mod n = m.
Proof.
intros.
apply PeanoNat.Nat.mod_small.
auto.
Qed.
Lemma f_proj1_sig : forall x y,
proj1_sig x = proj1_sig y -> f x = f y.
Proof.
intros.
rewrite (sig_eta x).
rewrite (sig_eta y).
destruct x. destruct y as [y H0].
simpl in *.
subst.
assert (l = H0).
apply proof_irrelevance. (* This was tricky to find.
It means two proofs of the same thing are equal themselves.
This makes (exist a b c) (exist a b d) equal,
if c and d prove the same thing. *)
subst.
intuition.
Qed.
(* Main Lemma *)
Lemma f'exists :
exists (ff : nat -> nat), forall x : mnnat, f x = ff (proj1_sig x).
Proof.
assert (n = 0 \/ n > 0).
induction n.
auto.
intuition.
destruct H.
exists (fun m : nat => m).
intuition. destruct x. assert (l' := l). rewrite H in l'. inversion l'.
unfold mnnat in *.
(* I am using the mod-function to map (m : nat) -> {m | m < n} *)
exists (fun m : nat => f (exist (ltn n) (m mod n) (mod_mnnat m H))).
intros.
destruct x.
simpl.
unfold ltn.
assert (l' := l).
apply mod_mnnat' in l'.
assert (proj1_sig (exist (fun m : nat => m < n) x l) = proj1_sig (exist (fun m : nat => m < n) (x mod n) (mod_mnnat x H))).
simpl. rewrite l'.
auto.
apply f_proj1_sig in H0.
auto.
Qed.

How to do induction differently?

I am doing an exercise in Coq and trying to prove if a list equals to its reverse, it's a palindrome. Here is how I define palindromes:
Inductive pal {X : Type} : list X -> Prop :=
| emptypal : pal []
| singlpal : forall x, pal [x]
| inducpal : forall x l, pal l -> pal (x :: l ++ [x]).
Here is the theorem:
Theorem palindrome3 : forall {X : Type} (l : list X),
l = rev l -> pal l.
According to my definition, I will need to do the induction my extracting the front and tail element but apparently coq won't let me do it, and if I force it to do so, it gives an induction result that definitely doesn't make any sense:
Proof.
intros X l H. remember (rev l) as rl. induction l, rl.
- apply emptypal.
- inversion H.
- inversion H.
- (* stuck *)
context:
1 subgoals
X : Type
x : X
l : list X
x0 : X
rl : list X
Heqrl : x0 :: rl = rev (x :: l)
H : x :: l = x0 :: rl
IHl : x0 :: rl = rev l -> l = x0 :: rl -> pal l
______________________________________(1/1)
pal (x :: l)
aparently the inductive context is terribly wrong. is there any way I can fix the induction?
The solution I propose here is probably not the shortest one, but I think it is rather natural.
My solution consists in defining an induction principle on list specialized to your problem.
Consider natural numbers. There is not only the standard induction nat_ind where you prove P 0 and forall n, P n -> P (S n). But there are other induction schemes, e.g., the strong induction lt_wf_ind, or the two-step induction where you prove P 0, P 1 and forall n, P n -> P (S (S n)). If the standard induction scheme is not strong enough to prove the property you want, you can try another one.
We can do the same for lists. If the standard induction scheme list_ind is not enough, we can write another one that works. In this idea, we define for lists an induction principle similar to the two-step induction on nat (and we will prove the validity of this induction scheme using the two-step induction on nat), where we need to prove three cases: P [], forall x, P [x] and forall x l x', P l -> P (x :: l ++ [x']). The proof of this scheme is the difficult part. Applying it to deduce your theorem is quite straightforward.
I don't know if the two-step induction scheme is part of the standard library, so I introduce it as an axiom.
Axiom nat_ind2 : forall P : nat -> Prop, P 0 -> P 1 ->
(forall n : nat, P n -> P (S (S n))) -> forall n : nat, P n.
Then we prove the induction scheme we want.
Lemma list_ind2 : forall {A} (P : list A -> Prop) (P_nil : P [])
(P_single : forall x, P [x])
(P_cons_snoc : forall x l x', P l -> P (x :: l ++ [x'])),
forall l, P l.
Proof.
intros. remember (length l) as n. symmetry in Heqn. revert dependent l.
induction n using nat_ind2; intros.
- apply length_zero_iff_nil in Heqn. subst l. apply P_nil.
- destruct l; [discriminate|]. simpl in Heqn. inversion Heqn; subst.
apply length_zero_iff_nil in H0. subst l. apply P_single.
- destruct l; [discriminate|]. simpl in Heqn.
inversion Heqn; subst. pose proof (rev_involutive l) as Hinv.
destruct (rev l). destruct l; discriminate. simpl in Hinv. subst l.
rewrite app_length in H0.
rewrite PeanoNat.Nat.add_comm in H0. simpl in H0. inversion H0.
apply P_cons_snoc. apply IHn. assumption.
Qed.
You should be able to conclude quite easily using this induction principle.
Theorem palindrome3 : forall {X : Type} (l : list X),
l = rev l -> pal l.

How to deal with a function with an exists on the right side?

I am not sure whether I am using the right words in the question title, so here is the code:
Lemma In_map_iff :
forall (A B : Type) (f : A -> B) (l : list A) (y : B),
In y (map f l) <->
exists x, f x = y /\ In x l.
Proof.
intros A B f l y.
split.
- intros.
induction l.
+ intros. inversion H.
+ exists x.
simpl.
simpl in H.
destruct H.
* split.
{ apply H. }
{ left. reflexivity. }
* split.
A : Type
B : Type
f : A -> B
x : A
l : list A
y : B
H : In y (map f l)
IHl : In y (map f l) -> exists x : A, f x = y /\ In x l
============================
f x = y
Basically, there is not much to go on with this proof, I can only really use induction on l and after substituting for x in the goal I get the above form. If IHl had a forall instead of exists maybe I could substitute something there, but I am not sure at all what to do here.
I've been stuck on this one for a while now, but unlike the other problems where that has happened, I could not find the solution online for this one. This is a problem as I am going through the book on my own, so have nobody to ask except in places like SO.
I'd appreciate a few hints. Thank you.
Lemma In_map_iff :
forall (A B : Type) (f : A -> B) (l : list A) (y : B),
In y (map f l) <->
exists x, f x = y /\ In x l.
Proof.
intros A B f l y.
split.
- intros.
induction l.
+ intros. inversion H.
+ simpl.
simpl in H.
destruct H.
* exists x.
split.
{ apply H. }
{ left. reflexivity. }
* destruct IHl.
-- apply H.
-- exists x0.
destruct H0.
++ split.
** apply H0.
** right. apply H1.
- intros.
inversion H.
induction l.
+ intros.
inversion H.
inversion H1.
inversion H3.
+ simpl.
right.
apply IHl.
* inversion H.
inversion H0.
inversion H2.
exists x.
split.
-- reflexivity.
-- destruct H3.
A : Type
B : Type
f : A -> B
x0 : A
l : list A
y : B
H : exists x : A, f x = y /\ In x (x0 :: l)
x : A
H0 : f x = y /\ In x (x0 :: l)
IHl : (exists x : A, f x = y /\ In x l) ->
f x = y /\ In x l -> In y (map f l)
x1 : A
H1 : f x1 = y /\ In x1 (x0 :: l)
H2 : f x = y
H3 : x0 = x
H4 : f x = y
============================
In x l
I managed to do one case, but am now stuck in the other. To be honest, since I've already spent 5 hours on a problem that should need like 15 minutes, I am starting to think that maybe I should consider genetic programming at this point.
H can be true on two different ways, try destruct H. From that, the proof follows easily I think, but be careful on the order you destruct H and instantiate the existential thou.
Here is a proof that has the same structure as would have a pen-and-paper proof (at least the first -> part). When you see <tactic>... it means ; intuition (because of Proof with intuition. declaration), i.e. apply the intuition tactic to all the subgoals generated by <tactic>. intuition enables us not to do tedious logical deductions and can be replaced by a sequence of apply and rewrite tactics, utilizing some logical lemmas.
As #ejgallego pointed out the key here is that while proving you can destruct existential hypotheses and get inhabitants of some types out of them. Which is crucial when trying to prove existential goals.
Require Import Coq.Lists.List.
Lemma some_SF_lemma :
forall (A B : Type) (f : A -> B) (l : list A) (y : B),
In y (map f l) <->
exists x, f x = y /\ In x l.
Proof with intuition.
intros A B f l y. split; intro H.
- (* -> *)
induction l as [ | h l'].
+ (* l = [] *)
contradiction.
+ (* l = h :: l' *)
destruct H.
* exists h...
* destruct (IHl' H) as [x H'].
exists x...
- (* <- *)
admit.
Admitted.

How to give a counterxample in Coq?

Is it possible to give a counterexample for a statement which doesn't hold in general? Like, for example that the all quantor does not distribute over the connective "or". How would you state that to begin with?
Parameter X : Set.
Parameter P : X -> Prop.
Parameter Q : X -> Prop.
(* This holds in general *)
Theorem forall_distributes_over_and
: (forall x:X, P x /\ Q x) -> ((forall x:X, P x) /\ (forall x:X, Q x)).
Proof.
intro H. split. apply H. apply H.
Qed.
(* This doesn't hold in general *)
Theorem forall_doesnt_distributes_over_or
: (forall x:X, P x \/ Q x) -> ((forall x:X, P x) \/ (forall x:X, Q x)).
Abort.
Here is a quick and dirty way to prove something similar to what you want:
Theorem forall_doesnt_distributes_over_or:
~ (forall X P Q, (forall x:X, P x \/ Q x) -> ((forall x:X, P x) \/ (forall x:X, Q x))).
Proof.
intros H.
assert (X : forall x : bool, x = true \/ x = false).
destruct x; intuition.
specialize (H _ (fun b => b = true) (fun b => b = false) X).
destruct H as [H|H].
now specialize (H false).
now specialize (H true).
Qed.
I have to quantify X P and Q inside the negation in order to be able to provide the one I want. You couldn't quite do that with your Parameters as they somehow fixed an abstract X, P and Q, thus making your theorem potentially true.
In general, if you want to produce a counterexample, you can state the negation of the formula and then prove that this negation is satisfied.