openAI-math-dataset / lean /OAI /Computability /UniqueGames /Analysis /RestrictionTransport.lean
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import OAI.Computability.UniqueGames.Analysis.Identities
import OAI.Computability.UniqueGames.Analysis.MatrixRestrictions
import OAI.Computability.UniqueGames.Analysis.RestrictionLemmas
namespace OAI
namespace UniqueGamesTheorem
/-!
# Exact transport of nested affine restrictions
The nested quotient-domain/range inclusion has exactly the effective
annihilator and target obtained by comap and map. Its parameterization is
linearly equivalent to the direct effective restriction, independently of
any Fourier frequency. Thus normalized second moments and the outer average
of their squares agree while retaining the full affine translate.
-/
noncomputable section
namespace Appendix.RestrictionTransport
open scoped BigOperators
open UniqueGamesTheorem.Integration.BinaryLinear (F2)
open UniqueGamesTheorem.Fourier.MatrixRestrictions
section Nested
variable {E F : Type*} [AddCommGroup E] [Module F2 E]
[AddCommGroup F] [Module F2 F]
/-- Compose the two actual quotient-domain and target-subspace embeddings. -/
def nestedEmbedding (A : Submodule F2 E) (B : Submodule F2 F)
(C : Submodule F2 (E ⧸ A)) (D : Submodule F2 B) :
Parameter C D →ₗ[F2] (E →ₗ[F2] F) :=
(embedding A B).comp (embedding C D)
theorem nestedEmbedding_injective (A : Submodule F2 E) (B : Submodule F2 F)
(C : Submodule F2 (E ⧸ A)) (D : Submodule F2 B) :
Function.Injective (nestedEmbedding A B C D) := by
intro N N' h
apply embed_injective C D
apply embed_injective A B
exact h
/-- Exact effective annihilator and target of a nested restriction. -/
theorem exists_nested_embed_iff (A : Submodule F2 E) (B : Submodule F2 F)
(C : Submodule F2 (E ⧸ A)) (D : Submodule F2 B) (M : E →ₗ[F2] F) :
(∃ N : Parameter C D, nestedEmbedding A B C D N = M) ↔
C.comap A.mkQ ≤ M.ker ∧ M.range ≤ D.map B.subtype := by
constructor
· rintro ⟨N, rfl⟩
constructor
· intro x hx
change (embed C D N (A.mkQ x) : F) = 0
have hz : embed C D N (A.mkQ x) = 0 := embed_vanishes C D N hx
rw [hz]
rfl
· rintro y ⟨x, rfl⟩
apply Submodule.mem_map.mpr
refine ⟨embed C D N (A.mkQ x), ?_, rfl⟩
exact embed_range C D N ⟨A.mkQ x, rfl⟩
· rintro ⟨hker, hrange⟩
have hA : A ≤ M.ker := by
intro x hx
apply hker
change A.mkQ x ∈ C
have hz : A.mkQ x = 0 := by simpa using hx
rw [hz]
exact C.zero_mem
have hB : M.range ≤ B := by
intro y hy
obtain ⟨b, hb, rfl⟩ := Submodule.mem_map.mp (hrange hy)
exact b.property
obtain ⟨N, hN⟩ := (exists_embed_iff A B M).mpr ⟨hA, hB⟩
have hC : C ≤ N.ker := by
intro q hq
obtain ⟨x, rfl⟩ := A.mkQ_surjective q
change N (A.mkQ x) = 0
apply Subtype.ext
change embed A B N x = 0
rw [hN]
exact hker hq
have hD : N.range ≤ D := by
rintro b ⟨q, rfl⟩
obtain ⟨x, rfl⟩ := A.mkQ_surjective q
have hm : M x ∈ D.map B.subtype := hrange ⟨x, rfl⟩
have hco : (N (A.mkQ x) : F) = M x := congrArg (fun L : E →ₗ[F2] F => L x) hN
rw [← hco] at hm
obtain ⟨b, hb, heq⟩ := Submodule.mem_map.mp hm
have heq' : b = N (A.mkQ x) := Subtype.ext heq
exact heq' ▸ hb
obtain ⟨P, hP⟩ := (exists_embed_iff C D N).mpr ⟨hC, hD⟩
refine ⟨P, ?_⟩
change embed A B (embed C D P) = M
rw [hP, hN]
/-- Nested and effective direct restrictions describe exactly the same perturbations. -/
theorem nested_range_eq (A : Submodule F2 E) (B : Submodule F2 F)
(C : Submodule F2 (E ⧸ A)) (D : Submodule F2 B) :
(nestedEmbedding A B C D).range =
(embedding (C.comap A.mkQ) (D.map B.subtype)).range := by
ext M
change (∃ N, nestedEmbedding A B C D N = M) ↔
(∃ N, embed (C.comap A.mkQ) (D.map B.subtype) N = M)
rw [exists_nested_embed_iff, exists_embed_iff]
end Nested
section SameRange
variable {K : Type*} {G : Type*} {P : Type*} {Q : Type*} [Field K]
[AddCommGroup G] [Module K G] [AddCommGroup P] [Module K P]
[AddCommGroup Q] [Module K Q]
private theorem exists_range_preimage (f : P →ₗ[K] G) (g : Q →ₗ[K] G)
(h : f.range ≤ g.range) (x : P) : ∃ y : Q, g y = f x := h ⟨x, rfl⟩
/-- The actual linear change of parameters between two injective presentations. -/
def sameRangeEquiv (f : P →ₗ[K] G) (g : Q →ₗ[K] G)
(hf : Function.Injective f) (hg : Function.Injective g)
(h : f.range = g.range) : P ≃ₗ[K] Q := by
let fw (x : P) := Classical.choose (exists_range_preimage f g (le_of_eq h) x)
let bw (y : Q) := Classical.choose (exists_range_preimage g f (le_of_eq h.symm) y)
have hfw (x : P) : g (fw x) = f x :=
Classical.choose_spec (exists_range_preimage f g (le_of_eq h) x)
have hbw (y : Q) : f (bw y) = g y :=
Classical.choose_spec (exists_range_preimage g f (le_of_eq h.symm) y)
exact
{ toFun := fw
invFun := bw
left_inv := by
intro x
apply hf
rw [hbw, hfw]
right_inv := by
intro y
apply hg
rw [hfw, hbw]
map_add' := by
intro x y
apply hg
simp only [map_add, hfw]
map_smul' := by
intro c x
change fw (c • x) = c • fw x
apply hg
simp only [map_smul, hfw] }
theorem sameRangeEquiv_commutes (f : P →ₗ[K] G) (g : Q →ₗ[K] G)
(hf : Function.Injective f) (hg : Function.Injective g)
(h : f.range = g.range) (x : P) :
g (sameRangeEquiv f g hf hg h x) = f x := by
exact Classical.choose_spec (exists_range_preimage f g (le_of_eq h) x)
variable [Fintype P] [Fintype Q]
/-- Injective parameter changes preserve normalized uniform expectations. -/
theorem expect_eq_of_same_range (f : P →ₗ[K] G) (g : Q →ₗ[K] G)
(hf : Function.Injective f) (hg : Function.Injective g)
(h : f.range = g.range) (observable : G → ℝ) :
(𝔼 x, observable (f x)) = 𝔼 y, observable (g y) := by
exact Fintype.expect_equiv (sameRangeEquiv f g hf hg h).toEquiv _ _
(fun x => congrArg observable (sameRangeEquiv_commutes f g hf hg h x).symm)
/-- Preserve second moments at the same full ambient translate. -/
theorem restriction_secondMoment_eq_of_same_range
(f : P →ₗ[K] G) (g : Q →ₗ[K] G)
(hf : Function.Injective f) (hg : Function.Injective g)
(h : f.range = g.range) (observable : G → ℝ) (T : G) :
(𝔼 x, observable (T + f x) ^ 2) = 𝔼 y, observable (T + g y) ^ 2 :=
expect_eq_of_same_range f g hf hg h (fun z => observable (T + z) ^ 2)
/-- Preserve the outer mean of squared restriction energies, with the square outside. -/
theorem restriction_energySquare_average_eq_of_same_range [Fintype G]
(f : P →ₗ[K] G) (g : Q →ₗ[K] G)
(hf : Function.Injective f) (hg : Function.Injective g)
(h : f.range = g.range) (observable : G → ℝ) :
(𝔼 T, (𝔼 x, observable (T + f x) ^ 2) ^ 2) =
𝔼 T, (𝔼 y, observable (T + g y) ^ 2) ^ 2 := by
apply Finset.expect_congr rfl
intro T _
rw [restriction_secondMoment_eq_of_same_range f g hf hg h observable T]
end SameRange
variable {E F : Type*} [AddCommGroup E] [Module F2 E]
[AddCommGroup F] [Module F2 F] [Finite E] [Finite F]
local instance (A : Submodule F2 E) : Finite (E ⧸ A) :=
Finite.of_surjective A.mkQ A.mkQ_surjective
/-- The genuine nested affine restriction has the effective direct second moment. -/
theorem nested_restriction_secondMoment_eq
(A : Submodule F2 E) (B : Submodule F2 F)
(C : Submodule F2 (E ⧸ A)) (D : Submodule F2 B)
(h : (E →ₗ[F2] F) → ℝ) (T : E →ₗ[F2] F) :
(𝔼 N : Parameter C D, h (T + nestedEmbedding A B C D N) ^ 2) =
𝔼 M : Parameter (C.comap A.mkQ) (D.map B.subtype),
h (T + embed (C.comap A.mkQ) (D.map B.subtype) M) ^ 2 := by
have transported := restriction_secondMoment_eq_of_same_range
(K := F2) (G := E →ₗ[F2] F) (P := Parameter C D)
(Q := Parameter (C.comap A.mkQ) (D.map B.subtype))
(nestedEmbedding A B C D) (embedding (C.comap A.mkQ) (D.map B.subtype))
(nestedEmbedding_injective A B C D)
(embed_injective (C.comap A.mkQ) (D.map B.subtype))
(nested_range_eq A B C D) h T
exact transported
/-- Squared normalized energies also agree before averaging over the full translate. -/
theorem nested_restriction_energySquare_average_eq [Fintype (E →ₗ[F2] F)]
(A : Submodule F2 E) (B : Submodule F2 F)
(C : Submodule F2 (E ⧸ A)) (D : Submodule F2 B)
(h : (E →ₗ[F2] F) → ℝ) :
(𝔼 T, (𝔼 N, h (T + nestedEmbedding A B C D N) ^ 2) ^ 2) =
𝔼 T, (𝔼 M, h (T + embed (C.comap A.mkQ) (D.map B.subtype) M) ^ 2) ^ 2 := by
apply Finset.expect_congr rfl
intro T _
rw [nested_restriction_secondMoment_eq A B C D h T]
end Appendix.RestrictionTransport
namespace Appendix.LinearIdentities
variable {K : Type*} {W : Type*} {V : Type*} [Field K]
[AddCommGroup W] [AddCommGroup V] [Module K W] [Module K V]
/-- A subspace disjoint from the image has exactly the original kernel as preimage. -/
theorem a5_preimage_eq_ker (X : W →ₗ[K] V) (A₀ : Submodule K V)
(hd : Disjoint A₀ (LinearMap.range X)) : A₀.comap X = LinearMap.ker X := by
ext w
constructor
· intro hw
exact Submodule.disjoint_def.mp hd (X w) hw ⟨w, rfl⟩
· intro hw
change X w ∈ A₀
rw [show X w = 0 from hw]
exact A₀.zero_mem
/-- Restricting to a subspace that covers the domain modulo the kernel preserves the image. -/
theorem a5_range_domRestrict_eq_of_cover (X : W →ₗ[K] V) (B₀ : Submodule K W)
(hc : B₀ ⊔ LinearMap.ker X = ⊤) :
LinearMap.range (X.domRestrict B₀) = LinearMap.range X := by
apply le_antisymm (LinearMap.range_domRestrict_le_range X B₀)
rintro v ⟨w, hw⟩
have ht : w ∈ B₀ ⊔ LinearMap.ker X := by rw [hc]; trivial
rcases Submodule.mem_sup.mp ht with ⟨b, hb, k, hk, hbk⟩
refine ⟨⟨b, hb⟩, ?_⟩
change X b = v
rw [← hw, ← hbk, map_add, show X k = 0 from hk, add_zero]
/-- The A.5 compressed image pulls back to its exact effective annihilator. -/
theorem a5_effective_annihilator (X : W →ₗ[K] V)
(A₀ A : Submodule K V) (B₀ : Submodule K W)
(hA : A₀ ⊔ LinearMap.range X = A)
(hc : B₀ ⊔ LinearMap.ker X = ⊤) :
(LinearMap.range (compress X A₀ B₀)).comap A₀.mkQ = A := by
rw [compress, LinearMap.range_comp, a5_range_domRestrict_eq_of_cover X B₀ hc,
Submodule.comap_map_mkQ, hA]
/-- The A.5 compressed kernel maps to its exact effective codomain. -/
theorem a5_effective_codomain (X : W →ₗ[K] V)
(A₀ : Submodule K V) (B B₀ : Submodule K W)
(hd : Disjoint A₀ (LinearMap.range X))
(hB : B₀ ⊓ LinearMap.ker X = B) :
(LinearMap.ker (compress X A₀ B₀)).map B₀.subtype = B := by
rw [compress, LinearMap.ker_comp, Submodule.ker_mkQ]
change ((A₀.comap X).comap B₀.subtype).map B₀.subtype = B
rw [a5_preimage_eq_ker X A₀ hd, Submodule.map_comap_subtype, hB]
end Appendix.LinearIdentities
end
end UniqueGamesTheorem
end OAI