How to prove equality impossible - coq

1 subgoal
a, b : Tipe
H : TApp a b = a
______________________________________(1/1)
False
(where TApp is a constructor)
In Idris this can be proved with \Refl => impossible but I haven't managed to write any proof for it in Coq.
Is there an easy way to prove it?

You can prove it by induction a.. The idea is that the induction principle for Tipe encodes the fact that its values are finite in size, while the TApp a b = a assumption allows you to construct an infinite value, but these are somewhat indirect consequences from the raw facts you have, hence you need to work a bit for it. An extension of Coq to derive and use such occurs-check lemmas automatically would definitely be possible.

Related

Proof by contradiction in Coq

I am trying to understand the apparent paradox of the logical framework of theorem provers like Coq not including LEM yet also being able to construct proofs by contradiction. Specifically the intuitionistic type theory that these theorem provers are based on does not allow for any logical construction of the form ¬(¬P)⇒P, and so what is required in order to artificially construct this in a language like Coq? And how is the constructive character of the system preserved if this is allowed?
I think you are mixing up two related uses of contradiction in logic. One is the technique of proof by contradiction, which says that you can prove P by proving ~ (~ P) -- that is, by showing that ~ P entails a contradiction. This technique is actually not available in general in constructive logics like Coq, unless one of the following applies.
You add the excluded middle forall P, P \/ ~ P as an axiom. Coq supports this, but this addition means that you are not working in a constructive logic anymore.
The proposition P is known to be decidable (i.e., P \/ ~ P holds). This is the case, for example, for the equality of two natural numbers n and m, which we can prove by induction.
The proposition P is of the form ~ Q. Since Q -> ~ (~ Q) holds constructively, by the law of contrapositives (which is also valid constructively), we obtain ~ (~ (~ Q)) -> (~ Q).
The other use of contradiction is the principle of explosion, which says that anything follows once you assume a contradiction (i.e., False in Coq). Unlike proof by contradiction, the principle of explosion is always valid in constructive logic, so there is no paradox here.
In constructive logic, by definition, a contradiction is an inhabitant of the empty type 0, and, also by definition, the negation ¬P of a proposition P is a function of type: P -> 0 that gives an inhabitant of the empty type 0 from an inhabitant (a proof) of P.
If you assume an inhabitant (proof) of P, and derive constructively an inhabitant of 0, you have defined a function inhabiting the type P -> 0, i.e. a proof of ¬P. This is a constructive sort of proof by contradiction: assume P, derive a contradiction, conclude ¬P.
Now if you assume ¬P and derive a contradiction, you have a constructive proof of ¬¬P, but cannot conclude constructively that you have a proof of P: for this you need the LEM axiom.

Extensionality axiom: why is it not unsound

Axiom of extensionality says that two functions are equal if their actions on each argument of the domain are equal.
Axiom func_ext_dep : forall (A : Type) (B : A -> Type) (f g : forall x, B x),
(forall x, f x = g x) -> f = g.
Equality = on both side of the theorem statement is propositional equality (a datatype with a single eq_refl constructor).
Using this axiom it could be proven that f = a + b and g = b + a are propositionally equal.
But f and g are obviously not equal as data structures.
Could you please explain what I'm missing here?
Probably that function objects don't have normal form?
EDIT: After further discussion in the comments, the actual point of confusion was this:
Doesn't match a with... = match b with gives me False right away the same way as S S Z = S Z does?
You can pattern-match on nat, you can't on functions. Dependent pattern-matching is how we can prove injectivity and disjointness of constructors, whereas the only thing we can do with a function is to apply it. (See also How do we know all Coq constructors are injective and disjoint?)
Nevertheless, I hope the rest of the answer below is still instructive.
From the comments:
AFAIU, = has a very precise meaning in Coq/CIC - syntactic equality of normal forms.
That's not right. For example we can prove the following:
Lemma and_comm : forall a b : bool, (* a && b = b && a *)
match a with
| true => b
| false => false
end = match b with
| true => a
| false => false
end.
Proof.
destruct a, b; reflexivity.
Qed.
We can only use eq_refl when the two sides are syntactically equal, but there are more reasoning rules we can apply beyond the constructors of an inductive propositions, most notably dependent pattern-matching, and, if we admit it, functional extensionality.
But f and g are obviously not equal as data structures.
This statement seems to confuse provability and truth. It's important to distinguish these two worlds. (And I'm not a logician, so take what I'm going to say with a grain of salt.)
Coq is a symbol-pushing game, with well-defined rules to construct terms of certain types. This is provability. When Coq accepts a proof, all we know is that we constructed a term following the rules.
Of course, we also want those terms and types to mean something. When we prove a proposition, we expect that to tell us something about the state of the world. This is truth. And in a way, Coq has very little say in the matter. When we read f = g, we are giving a meaning to the symbol f, a meaning to g, and also a meaning to =. This is entirely up to us (well, there are always rules to follow), and there's more than one interpretation (or "model").
The "naive model" that most people have in mind views functions as relations (also called graphs) between inputs and outputs. In this model, functional extensionality holds: a function is no more than a mapping between inputs and outputs, so two functions with the same mappings are equal. Functional extensionality is sound in Coq (we can't prove False) because there is at least one model where it is valid.
In the model you have, a function is characterized by its code, modulo some equations. (This is more or less the "syntactic model", where we interpret every expression as itself, with the minimal possible amount of semantic behavior.) Then, indeed there are functions that are extensionally equal, but with different code. So functional extentionality is not valid in this model, but that doesn't mean it's false (i.e., that we can prove its negation) in Coq, as justified previously.
f and g are not "obviously not equal", because equality, like everything else, is relative to a particular interpretation.

Proof that equality is symmetric in Coq

I am just starting with Coq and right now trying to prove some stuff that is in "The Little Prover".
One of the theorems I came across is the following:
Theorem equal_swap : forall (A: Type) (x:A) (y:A),
(x = y) = (y = x).
However, I am unable to prove this. I tried finding out how to rewrite the right side of the equation with eq_sym, but I am unable to apply it to only one expression of the goal.
How would I go about proving this theorem?
One thing that Coq uses pervasively is the concept of "propositions as types". Intuitively, types are collections of objects. So what are the elements of these collections? They are proofs. A proposition that is provable is a type that contains an element, a proposition that is not provable is a type that does not contain a proof.
So a = b is a type, a type of proofs and b = a is also a type of proofs but they don't prove the same statement. The purpose of the logic in Coq is to be very precise about statements. Can we say that a = b and b = a are the same? Well, in a sense they are not. If I have a goal of the form C(a, b) and I rewrite with a proof of a = b then I obtain C(a, a) and if I rewrite with a proof of b = a then I obtain C(b, b) and these two don't look the same. One make argue that they are the same (because a and b are the same by assumption) but one may also argue that they are not the same (because you don't use them in the same manner).
When designing a logical system like Coq, it turns out that you can do a lot of logic even if you don't try to talk about equality between propositions, but concentrate yourself on just using equivalence between propositions. So people tried to add the least amount of properties to the concept of equality. In particular, equality between types was left naked. You will see that equality is practical to use when talking about equality between first-order data, it is less convenient when talking about higher-order data (like equality between functions), and it is awkward when talking about equality between types.
On the other hand, if they want to study the relation between two propositions, they only try to check whether one proposition implies another one, and if they want to be more precise, they try to see if they imply each other mutually. For most practical purposes this will be enough, and I suggest you stick to this discipline as long as you consider yourself a beginner.
Here, we may want to prove a = b -> b = a. If we do this as a proof using tactics, then intro will help us give a name to a = b (say H) and rewrite H will help us transform b = a into a = a. Now the last proof can be done by reflexivity. But when I say transform b = a into a = a. I only mean that a = a -> b = a has a proof, in other words "there is a function, when given as input a proof of a = a, it produces as output a proof of b = a. When performing a proof, we have the impression that the proof of a = a is transformed into a proof of b = a while staying the same, but it is not: two different proofs are observed here.
In the end, (a = b) <-> (b = a) is just the conjunction of (a = b) -> (b = a) and (b = a) -> (a = b). The rewrite tactic has also been extended so that you can also rewrite with a theorem is an equivalence, instead of an equality.

Why Coq doesn't allow inversion, destruct, etc. when the goal is a Type?

When refineing a program, I tried to end proof by inversion on a False hypothesis when the goal was a Type. Here is a reduced version of the proof I tried to do.
Lemma strange1: forall T:Type, 0>0 -> T.
intros T H.
inversion H. (* Coq refuses inversion on 'H : 0 > 0' *)
Coq complained
Error: Inversion would require case analysis on sort
Type which is not allowed for inductive definition le
However, since I do nothing with T, it shouldn't matter, ... or ?
I got rid of the T like this, and the proof went through:
Lemma ex_falso: forall T:Type, False -> T.
inversion 1.
Qed.
Lemma strange2: forall T:Type, 0>0 -> T.
intros T H.
apply ex_falso. (* this changes the goal to 'False' *)
inversion H.
Qed.
What is the reason Coq complained? Is it just a deficiency in inversion, destruct, etc. ?
I had never seen this issue before, but it makes sense, although one could probably argue that it is a bug in inversion.
This problem is due to the fact that inversion is implemented by case analysis. In Coq's logic, one cannot in general perform case analysis on a logical hypothesis (i.e., something whose type is a Prop) if the result is something of computational nature (i.e., if the sort of the type of the thing being returned is a Type). One reason for this is that the designers of Coq wanted to make it possible to erase proof arguments from programs when extracting them into code in a sound way: thus, one is only allowed to do case analysis on a hypothesis to produce something computational if the thing being destructed cannot alter the result. This includes:
Propositions with no constructors, such as False.
Propositions with only one constructor, as long as that constructor takes no arguments of computational nature. This includes True, Acc (the accessibility predicated used for doing well-founded recursion), but excludes the existential quantifier ex.
As you noticed, however, it is possible to circumvent that rule by converting some proposition you want to use for producing your result to another one you can do case analysis on directly. Thus, if you have a contradictory assumption, like in your case, you can first use it to prove False (which is allowed, since False is a Prop), and then eliminating False to produce your result (which is allowed by the above rules).
In your example, inversion is being too conservative by giving up just because it cannot do case analysis on something of type 0 < 0 in that context. It is true that it can't do case analysis on it directly by the rules of the logic, as explained above; however, one could think of making a slightly smarter implementation of inversion that recognizes that we are eliminating a contradictory hypothesis and adds False as an intermediate step, just like you did. Unfortunately, it seems that we need to do this trick by hand to make it work.
In addition to Arthur's answer, there is a workaround using constructive_definite_description axiom. Using this axiom in a function would not allow to perform calculations and extract code from it, but it still could be used in other proofs:
From Coq Require Import Description.
Definition strange1: forall T:Type, 0>0 -> T.
intros T H.
assert (exists! t:T, True) as H0 by inversion H.
apply constructive_definite_description in H0.
destruct H0 as [x ?].
exact x.
Defined.
Or same function without proof editing mode:
Definition strange2 (T: Type) (H: 0 > 0): T :=
proj1_sig (constructive_definite_description (fun _ => True) ltac: (inversion H)).
Also there's a stronger axiom constructive_indefinite_description that converts a proposition exists x:T, P x (without uniqueness) into a corresponding sigma-type {x:T | P x}.

What forms of goal in Coq are considered to be "true"?

When I prove some theorem, my goal evolves as I apply more and more tactics. Generally speaking the goal tends to split into sub goals, where the subgoals are more simple. At some final point Coq decides that the goal is proven. How this "proven" goal may look like? These goals seems to be fine:
a = a. (* Any object is identical to itself (?) *)
myFunc x y = myFunc x y. (* Result of the same function with the same params
is always the same (?) *)
What else can be here or can it be that examples are fundamentally wrong?
In other words, when I finally apply reflexivity, Coq just says ** Got it ** without any explanation. Is there any way to get more details on what it actually did or why it decided that the goal is proven?
You're actually facing a very general notion that seems not so general because Coq has some user-friendly facility for reasoning with equality in particular.
In general, Coq accepts a goal as solved as soon as it receives a term whose type is the type of the goal: it has been convinced the proposition is true because it has been convinced the type that this proposition describes is inhabited, and what convinced it is the actual witness you helped build along your proof.
For the particular case of inductive datatypes, the two ways you are going to be able to proved the proposition P a b c are:
by constructing a term of type P a b c, using the constructors of the inductive type P, and providing all the necessary arguments.
or by reusing an existing proof or an axiom in the environment whose type you can get to match P a b c.
For the even more particular case of equality proofs (equality is just an inductive datatype in Coq), the same two ways I list above degenerate to this:
the only constructor of equality is eq_refl, and to apply it you need to show that the two sides are judgementally equal. For most purposes, this corresponds to goals that look like T a b c = T a b c, but it is actually a slightly more broad notion of equality (see below). For these, all you have to do is apply the eq_refl constructor. In a nutshell, that is what reflexivity does!
the second case consists in proving that the equality holds because you have other equalities in your context, nothing special here.
Now one part of your question was: when does Coq accept that two sides of an equality are equal by reflexivity?
If I am not mistaken, the answer is when the two sides of the equality are αβδιζ-convertible.
What this grossly means is that there is a way to make them syntactically equal by repeated applications of:
α : sane renaming of non-free variables
β : computing reducible expressions
δ : unfolding definitions
ι : simplifying matches
ζ : expanding let-bound expressions
[someone please correct me if more rules apply or if I got one wrong]
For instance some of the things that are not captured by these rules are:
equality of functions that do more or less the same thing in different ways:
(fun x => 0 + x) = (fun x => x + 0)
quicksort = mergesort
equality of terms that are stuck reducing but would be equal:
forall n, 0 + n = n + 0