{-# OPTIONS --cubical-compatible #-}
module Padova2025.Explorations.Forcing.Cohen (X : Set) (x₀ : X) where
Cohen forcing
open import Padova2025.ProgrammingBasics.Lists open import Padova2025.ProgrammingBasics.Naturals.Base open import Padova2025.ProgrammingBasics.Naturals.Arithmetic open import Padova2025.ProvingBasics.Negation open import Padova2025.ProvingBasics.Equality.Base open import Padova2025.ProvingBasics.Equality.General open import Padova2025.ProvingBasics.Equality.Lists open import Padova2025.ProvingBasics.Termination.Ordering open import Padova2025.ProvingBasics.Termination.Gas using (Maybe; nothing; just; lookupMaybe; just-injective) open import Padova2025.ProvingBasics.Connectives.Existential
This module is parametrized by a set X which we assume
to be inhabited by at least one element x₀. The purpose of
this module is to provide suitable definitions so that we can explore a
forcing extension of the base universe in which a generic infinite
sequence of elements of X exists, i.e. a generic
function f₀ : ℕ → X. This function will turn out to be
distinct from every function ℕ → X of the base universe;
hence Cohen forcing allows us to enlarge the base universe by a new
function ℕ → X (without changing the naturals or the given
type X).
This new function is generic in the sense that, for every
property P of a certain kind, if f₀ has it,
then so does every function f : ℕ → X from the base
universe (and indeed even every function ℕ → X in any
forcing extension).
Approximating by finite lists
For approximating an infinite sequence ℕ → X, we employ
finite lists of elements of X as described
in the introduction.
L : Set L = List X
Given a predicate P : L → Set, the next definition
introduces a new predicate ∇ P : L → Set. The intuitive
meaning of the assertion ∇ P xs is that, no matter how the
finite approximation xs evolves over time to a better
approximation ys, eventually P ys will hold.
The operator ∇ is a so-called modality, more
precisely the eventually modality.
data ∇ (P : L → Set) : L → Set where
-- "P xs holds already now, no refinement required."
now : {xs : L} → P xs → ∇ P xs
-- "P xs might not hold now, we need to wait at least for
-- xs to grow by one element."
later : {xs : L} → ((x : X) → ∇ P (xs ∷ʳ x)) → ∇ P xs
As a basic example how this modality can be used, let us show that no
matter how the empty list [] evolves over time, eventually
it will be a list of length at least 3:
eventually-length-3 : ∇ (λ xs → length xs ≥ three) []
eventually-length-3 = {!!}
Sometimes it is useful to leverage Agda’s instance arguments feature to lighten the notation. By defining…
cur : {{L}} → L
cur {{xs}} = xs
∇' : ({{L}} → Set) → (L → Set)
∇' P xs = ∇ (λ ys → P {{ys}}) xs
withInstance : ({{L}} → Set) → (L → Set)
withInstance P xs = P {{xs}}
…we can rewrite the previous example as follows:
eventually-length-3' : ∇' (length cur ≥ three) []
eventually-length-3' = {!!}
Exercise: Bind operator
Arriving at a result of the form ∇ P xs is not a dead
end at all; instead, we can reason “under the modality” as follows.
_>>=_ : {P Q : L → Set} {xs : L} → ∇ P xs → ({ys : L} → P ys → ∇ Q ys) → ∇ Q xs
_>>=_ = {!!}
Exercise: Eventually arbitrarily long
Prove for every number n that the empty list eventually
evolves to a list of length at least n.
eventually-length : (n : ℕ) → ∇' (length cur ≥ n) []
eventually-length zero = {!!}
eventually-length (succ n) = eventually-length n >>= λ len≥n →
{!!}
Constructing the generic sequence
We cannot directly introduce the generic sequence f₀ as
an actual function of type ℕ → X, as the type
ℕ → X contains only the functions of the base universe. But
we can define what it means for the equation f₀ n ≡ x to
hold. From the point of view of the forcing extension, this will be an
assertion just like any other and in particular will have a truth value
like any other. From the point of view of the base universe however, the
truth value of this assertion will depend on the current
approximation:
f₀[_]≡_ : {{L}} → ℕ → X → Set
f₀[ n ]≡ x = lookupMaybe cur n ≡ just x
The generic sequence f₀ exists a single entity only in
the forcing extension. To talk about it from the point of view of the
base universe, we need to keep track of the current approximation and be
prepared to let the current approximation evolve to a better one.
For instance, here is how we express that f₀ is defined
on every input (even though no single finite approximation is):
lemma-lookup : {A : Set} → (xs : List A) (n : ℕ) → length xs > n → ∃[ x ] (lookupMaybe xs n ≡ just x) lemma-lookup = {!!}
f₀-total : (n : ℕ) → ∇' (∃[ x ] (f₀[ n ]≡ x)) []
f₀-total = {!!}
Implication in the forcing extension
Let P and Q be two approximation-dependent
propositions, i.e. functions of type L → Set. What should
it mean that P implies Q? More precisely,
given an approximation xs, what should it mean that
P implies Q on stage xs?
One option would be given by the following straightforward definition, which however we reject.
_⇒-naive_ : (L → Set) → (L → Set) → (L → Set) P ⇒-naive Q = λ xs → (P xs → Q xs) -- rejected proposal
This definition does not account for the possibility of
xs evolving to better approximations. The following
actually adopted definition fixes this issue:
_⇒_ : (L → Set) → (L → Set) → (L → Set) P ⇒ Q = λ xs → ((ys : L) → P (xs ++ ys) → Q (xs ++ ys))
Thorsten Altenkirch calls this style of definition the logic of storytelling: Assume that, in a fantasy story, the wise wizard offers the counsel “If our enemies cross that bridge, we will lose the war”. This assertion does not only mean that if the enemies cross the bridge now, the protagonists will lose the war at that moment. It rather means that if at some point in the future, after the story has continued, the enemies cross the bridge, the protagonists will then lose the war.
Negation in the forcing extension
Similarly, a principled definition of the forcing extension’s bottom proposition is not…
⫫-naive : L → Set ⫫-naive xs = ⊥
…but rather:
⫫-principled : L → Set ⫫-principled xs = ∇' ⊥ xs -- fully spelled out: ⫫ xs = ∇ (λ ys → ⊥) xs
In other words, ⫫-principled xs means that (eventually,
after sufficiently many refinements) ⊥ will hold. It is a
positive way of expressing that the given approximation xs
is a dead end.
Fortunately, as we have assumed (in the very beginning of this file),
that the type X is inhabited (by some element
x₀), the two definitions are actually equivalent, and hence
we will adopt the simpler one for the remaining development.
⫫ : L → Set ⫫ = ⫫-naive
Verifying that the principled definition indeed implies the naive one:
escape : {R : Set} {xs : L} → ∇' R xs → R
escape = {!!}
⫫-principled-naive : {xs : L} → ⫫-principled xs → ⫫-naive xs
⫫-principled-naive = {!!}
With the forcing extension’s bottom at hand, we can define the forcing extension’s negation operation.
infix 3 ⫬_ ⫬_ : (L → Set) → (L → Set) ⫬_ P = P ⇒ ⫫
The following observation is occasionally useful in order to establish that certain double negations hold.
dense→negneg : {P : L → Set} → ((xs : L) → ∃[ ys ] P (xs ++ ys)) → (⫬ ⫬ P) []
dense→negneg = {!!}
In fact, a slightly more general result holds:
almostdense→negneg : {P : L → Set} → ((xs : L) → ¬ ¬ (∃[ ys ] P (xs ++ ys))) → (⫬ ⫬ P) [] almostdense→negneg = {!!}
negneg→almostdense : {P : L → Set} → (⫬ ⫬ P) [] → ((xs : L) → ¬ ¬ (∃[ ys ] P (xs ++ ys))) negneg→almostdense = {!!}
This result (which, after a small modification is strengthened to an
equivalence in the folded subsection) suggests that dobule negation in
the forcing extension can be pronounced as potentially. The
assertion (⫬ ⫬ P) [] means that it is possible for
any given approximation xs to evolve to a list which
validates P, without presupposing that no P
will always hold eventually.
Freshness of the generic sequence
Let us prove, up to a double negation, that the generic sequence
differs from any given sequence ℕ → X of the base universe
in at least one term—assuming that there is some fixpoint-free function
step : X → X.
lemma-lookup-last : (xs : L) (a : X) → lookupMaybe (xs ++ (a ∷ [])) (length xs) ≡ just a
lemma-lookup-last = {!!}
f₀-fresh
: (step : X → X) (fixpoint-free : {x : X} → step x ≡ x → ⊥)
→ (g : ℕ → X)
→ (⫬ ⫬ (∇' (∃[ n ] (f₀[ n ]≡ step (g n))))) []
f₀-fresh = {!!}
Genericity of the generic sequence
For a sequence f : ℕ → X and a number n, we
define f ↓ n to be the list of the first n
values of f, i.e. the list
f zero ∷ f one ∷ … ∷ f (pred n) ∷ [].
_↓_ : (ℕ → X) → ℕ → List X f ↓ zero = [] f ↓ succ n = (f ↓ n) ∷ʳ f n
generic⇒actual : {P : L → Set} → (f : ℕ → X) (n : ℕ) → ∇ P (f ↓ n) → ∃[ m ] P (f ↓ m)
generic⇒actual = {!!}
The following theorem can be read as follows: “If the generic
sequence in the forcing extension has property P, then so
does (a suitable finite prefix) of any actual sequence in the base
universe.”
generic⇒actual₀ : {P : L → Set} → (f : ℕ → X) → ∇ P [] → ∃[ m ] P (f ↓ m)
generic⇒actual₀ f = generic⇒actual f zero
Markov’s principle
Markov’s principle states: If a sequence ℕ → ℕ does
not not have a zero, then it actually has a zero. As an
instance of the principle of double negation elimination, Markov’s
principle is readily available in classical mathematics; it is a taboo
in most flavors of constructive mathematics. Specifically, in this
section we will explore that Markov’s principle is falsified by the
generic sequence.
Let us first prove that the generic sequence does not not
have a certain value z as one of its terms, as in the
antecedent of Markov’s principle. (The value z is a
placeholder for the natural number zero, which is an element of our
fixed type X only in case X = ℕ.)
generic-not-not-has-zero : (z : X) → (⫬ ⫬ (∇' (∃[ n ] f₀[ n ]≡ z))) []
generic-not-not-has-zero = {!!}
Contrary to what Markov’s principle would predict, let us now also
prove that it is not the case that the generic sequence
actually attains the value z—assuming that there is some
distinct value w in X. This shows that
Markov’s principle is not valid for the generic sequence.
↓-constant : (w : X) (n : ℕ) → (λ _ → w) ↓ n ≡ replicate n w
↓-constant = {!!}
not-generic-has-zero : (z w : X) → w ≢ z → ¬ (∇' (∃[ n ] f₀[ n ]≡ z) [])
not-generic-has-zero z w w≢z p with generic⇒actual₀ (λ _ → w) p
... | n , m , q = go n m {!!}
where
go : (n m : ℕ) → lookupMaybe (replicate n w) m ≡ just z → ⊥
go zero m = {!!}
go (succ n) zero = {!!}
go (succ n) (succ m) = {!!}