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| import Mathlib.Algebra.BigOperators.Expect | |
| import OAI.Computability.UniqueGames.Foundations.SamplingLemmas | |
| import OAI.Computability.UniqueGames.Soundness.PartnerMapCoordinates | |
| namespace OAI | |
| section | |
| /-! | |
| # The exact visible-advice law for a fixed latent map | |
| For every fixed binary-linear map `A`, including rank-deficient maps, a uniform | |
| latent column has a uniform image in `range A`. An explicit range/kernel | |
| bijection proves the assertion simultaneously for every intercept and slope. | |
| The final theorem starts with the actual pair of independently uniform linear | |
| maps on the partner answer space and pushes it to independent uniform visible | |
| coefficients in `W × range A`. No full-rank or independence premise is assumed. | |
| -/ | |
| namespace UniqueGamesTheorem.Clean.AdviceImageLaw | |
| open scoped BigOperators | |
| open UniqueGamesTheorem.Integration.BinaryLinear | |
| open UniqueGamesTheorem.Soundness.ConditionalIncidences | |
| open UniqueGamesTheorem.Soundness.PartnerMapCoordinates | |
| open UniqueGamesTheorem.Foundations.Games | |
| noncomputable section | |
| attribute [local instance] Classical.propDecidable | |
| variable {K S W : Type} [AddCommGroup K] [Module F2 K] | |
| [AddCommGroup S] [Module F2 S] | |
| def rangePoint (A : K →ₗ[F2] S) (m : K) : A.range := | |
| ⟨A m, ⟨m, rfl⟩⟩ | |
| def selectedLift (A : K →ₗ[F2] S) (z : A.range) : K := | |
| Classical.choose z.property | |
| theorem selectedLift_spec (A : K →ₗ[F2] S) (z : A.range) : | |
| A (selectedLift A z) = (z : S) := | |
| Classical.choose_spec z.property | |
| theorem rangePoint_lift_add_kernel (A : K →ₗ[F2] S) (z : A.range) (k : A.ker) : | |
| rangePoint A (selectedLift A z + (k : K)) = z := by | |
| apply Subtype.ext | |
| change A (selectedLift A z + (k : K)) = (z : S) | |
| rw [map_add, selectedLift_spec, k.property, add_zero] | |
| /-- Every range fibre is one translate of the same kernel. -/ | |
| def imageKernelEquiv (A : K →ₗ[F2] S) : K ≃ A.range × A.ker where | |
| toFun m := (rangePoint A m, | |
| ⟨m - selectedLift A (rangePoint A m), by | |
| change A (m - selectedLift A (rangePoint A m)) = 0 | |
| rw [map_sub, selectedLift_spec] | |
| exact sub_self _⟩) | |
| invFun p := selectedLift A p.1 + (p.2 : K) | |
| left_inv m := by | |
| change selectedLift A (rangePoint A m) + (m - selectedLift A (rangePoint A m)) = m | |
| rw [add_comm, sub_add_cancel] | |
| right_inv p := by | |
| apply Prod.ext | |
| · exact rangePoint_lift_add_kernel A p.1 p.2 | |
| · apply Subtype.ext | |
| change selectedLift A p.1 + (p.2 : K) - | |
| selectedLift A (rangePoint A (selectedLift A p.1 + (p.2 : K))) = (p.2 : K) | |
| rw [rangePoint_lift_add_kernel] | |
| exact add_sub_cancel_left _ _ | |
| def columnImage (A : K →ₗ[F2] S) (column : W × K) : W × A.range := | |
| (column.1, rangePoint A column.2) | |
| def columnSplitEquiv (A : K →ₗ[F2] S) : (W × K) ≃ (W × A.range) × A.ker := | |
| (Equiv.prodCongr (Equiv.refl W) (imageKernelEquiv A)).trans | |
| (Equiv.prodAssoc W A.range A.ker).symm | |
| def visibleCoefficients {I : Type} (A : K →ₗ[F2] S) | |
| (columns : I → W × K) : I → W × A.range := | |
| fun i => columnImage A (columns i) | |
| def coefficientsSplitEquiv (I : Type) (A : K →ₗ[F2] S) : | |
| (I → W × K) ≃ (I → W × A.range) × (I → A.ker) := | |
| (Equiv.piCongrRight fun _ : I => columnSplitEquiv (W := W) A).trans | |
| (Equiv.arrowProdEquivProdArrow I (fun _ => W × A.range) (fun _ => A.ker)) | |
| instance rangeFintype [Fintype S] (A : K →ₗ[F2] S) : Fintype A.range := | |
| Fintype.ofFinite _ | |
| instance kernelFintype [Fintype K] (A : K →ₗ[F2] S) : Fintype A.ker := | |
| Fintype.ofFinite _ | |
| /-- Exact pushforward law for all columns jointly, including the original | |
| intercept. This implies every event identity, not just individual marginals. -/ | |
| theorem uniform_visible_coefficients {I : Type} [Fintype I] [DecidableEq I] | |
| [Fintype W] [Fintype K] [Fintype S] | |
| (A : K →ₗ[F2] S) (F : (I → W × A.range) → ℝ) : | |
| (𝔼 columns : I → W × K, F (visibleCoefficients A columns)) = | |
| 𝔼 visible : I → W × A.range, F visible := by | |
| calc | |
| (𝔼 columns : I → W × K, F (visibleCoefficients A columns)) = | |
| 𝔼 pieces : (I → W × A.range) × (I → A.ker), F pieces.1 := | |
| Fintype.expect_equiv (coefficientsSplitEquiv I A) _ _ (fun _ => rfl) | |
| _ = _ := by | |
| simpa only [Finset.univ_product_univ, Fintype.expect_const] using | |
| (Finset.expect_product (Finset.univ : Finset (I → W × A.range)) | |
| (Finset.univ : Finset (I → A.ker)) (fun pieces => F pieces.1)) | |
| /-- The full product law exposes mutual independence of every raw coefficient. -/ | |
| theorem uniform_coordinate_product {I E : Type} [Fintype I] [DecidableEq I] [Fintype E] | |
| (f : I → E → ℝ) : | |
| (𝔼 columns : I → E, ∏ i, f i (columns i)) = ∏ i, 𝔼 e : E, f i e := by | |
| simp only [Fintype.expect_eq_sum_div_card] | |
| rw [← Fintype.prod_sum] | |
| simp only [Fintype.card_pi, Nat.cast_prod] | |
| exact (Finset.prod_div_distrib _ _).symm | |
| theorem visible_coefficient_product {I : Type} [Fintype I] [DecidableEq I] | |
| [Fintype W] [Fintype K] [Fintype S] | |
| (A : K →ₗ[F2] S) (f : I → W × A.range → ℝ) : | |
| (𝔼 columns : I → W × K, ∏ i, f i (columnImage A (columns i))) = | |
| ∏ i, 𝔼 e : W × A.range, f i e := by | |
| exact (uniform_visible_coefficients A (fun visible => ∏ i, f i (visible i))).trans | |
| (uniform_coordinate_product f) | |
| theorem uniform_pushforward_of_expect {Ω Γ : Type} [Fintype Ω] [Fintype Γ] | |
| [Nonempty Ω] [Nonempty Γ] (f : Ω → Γ) | |
| (h : ∀ F : Γ → ℝ, (𝔼 x : Ω, F (f x)) = 𝔼 y : Γ, F y) : | |
| (FiniteDistribution.uniform Ω).pushforward f = FiniteDistribution.uniform Γ := by | |
| apply FiniteDistribution.eq_of_weight_eq | |
| intro y | |
| have he : (FiniteDistribution.uniform Ω).expectation | |
| (fun x => if f x = y then 1 else 0) = | |
| (FiniteDistribution.uniform Γ).expectation (fun z => if z = y then 1 else 0) := by | |
| simpa only [FiniteDistribution.expectation_uniform, | |
| ← Fintype.expect_eq_sum_div_card] using h (fun z => if z = y then 1 else 0) | |
| calc | |
| _ = (FiniteDistribution.uniform Ω).expectation | |
| (fun x => if f x = y then 1 else 0) := by | |
| simp [FiniteDistribution.pushforward, FiniteDistribution.expectation, mul_ite] | |
| _ = _ := he | |
| _ = _ := by simp [FiniteDistribution.expectation, mul_ite] | |
| theorem visible_coefficients_pushforward {I : Type} [Fintype I] [DecidableEq I] | |
| [Fintype W] [Nonempty W] [Fintype K] [Fintype S] (A : K →ₗ[F2] S) : | |
| (FiniteDistribution.uniform (I → W × K)).pushforward (visibleCoefficients A) = | |
| FiniteDistribution.uniform (I → W × A.range) := | |
| uniform_pushforward_of_expect (visibleCoefficients A) (uniform_visible_coefficients A) | |
| /-- The worst-case codomain cardinality suffices; no rank estimate is needed. -/ | |
| theorem visible_card_le [Fintype W] [Fintype K] [Fintype S] (A : K →ₗ[F2] S) : | |
| Fintype.card (W × A.range) ≤ Fintype.card W * Fintype.card S := by | |
| rw [Fintype.card_prod] | |
| exact Nat.mul_le_mul_left _ | |
| (Fintype.card_le_of_injective (fun z : A.range => (z : S)) Subtype.val_injective) | |
| theorem visible_card_binary_le [Fintype K] (w r : Nat) | |
| (A : K →ₗ[F2] (Fin r → F2)) : | |
| Fintype.card ((Fin w → F2) × A.range) ≤ 2 ^ (w + r) := by | |
| calc | |
| Fintype.card ((Fin w → F2) × A.range) ≤ | |
| Fintype.card (Fin w → F2) * Fintype.card (Fin r → F2) := | |
| visible_card_le A | |
| _ = 2 ^ (w + r) := by simp [F2, pow_add] | |
| section ActualMaps | |
| variable {P : Type} [Fintype P] [DecidableEq P] | |
| [AddCommGroup W] [Module F2 W] | |
| (rhs : P → Bool) (J : Finset P) | |
| abbrev PartnerSpace := UniqueGamesTheorem.Soundness.PartnerProjection.PartnerPoint rhs (activeOf J) | |
| /-- Raw coefficients commute with actual linear-map composition. -/ | |
| theorem coefficients_comp (A : K →ₗ[F2] S) (M : PartnerSpace rhs J →ₗ[F2] K) : | |
| coefficients rhs J S (A.comp M) = fun i => A (coefficients rhs J K M i) := by | |
| funext i | |
| simp [coefficients, mapEquiv, LinearMap.comp_apply] | |
| def actualVisibleCoefficients (A : K →ₗ[F2] S) | |
| (maps : (PartnerSpace rhs J →ₗ[F2] W) × (PartnerSpace rhs J →ₗ[F2] K)) : | |
| RawSlot J → W × A.range := | |
| fun i => (coefficients rhs J W maps.1 i, rangePoint A (coefficients rhs J K maps.2 i)) | |
| /-- The displayed second component is precisely the coefficient of `S = A M`. -/ | |
| theorem actualVisibleCoefficients_second (A : K →ₗ[F2] S) | |
| (T : PartnerSpace rhs J →ₗ[F2] W) (M : PartnerSpace rhs J →ₗ[F2] K) | |
| (i : RawSlot J) : | |
| ((actualVisibleCoefficients rhs J A (T, M) i).2 : S) = | |
| coefficients rhs J S (A.comp M) i := by | |
| rw [coefficients_comp] | |
| rfl | |
| def actualMapPairEquiv : | |
| ((PartnerSpace rhs J →ₗ[F2] W) × (PartnerSpace rhs J →ₗ[F2] K)) ≃ | |
| (RawSlot J → W × K) := | |
| (Equiv.prodCongr (mapEquiv rhs J W).symm.toEquiv (mapEquiv rhs J K).symm.toEquiv).trans | |
| (Equiv.arrowProdEquivProdArrow (RawSlot J) (fun _ => W) (fun _ => K)).symm | |
| /-- Sampling the actual independent maps `T` and `M` yields the claimed joint | |
| uniform coefficient law of `(T,A M)`, for every fixed equation tuple and mask. -/ | |
| theorem actual_maps_visible_uniform [Fintype W] [Fintype K] [Fintype S] | |
| (A : K →ₗ[F2] S) (F : (RawSlot J → W × A.range) → ℝ) : | |
| (𝔼 maps : (PartnerSpace rhs J →ₗ[F2] W) × (PartnerSpace rhs J →ₗ[F2] K), | |
| F (actualVisibleCoefficients rhs J A maps)) = | |
| 𝔼 gamma : RawSlot J → W × A.range, F gamma := by | |
| calc | |
| (𝔼 maps : (PartnerSpace rhs J →ₗ[F2] W) × (PartnerSpace rhs J →ₗ[F2] K), | |
| F (actualVisibleCoefficients rhs J A maps)) = | |
| 𝔼 columns : RawSlot J → W × K, F (visibleCoefficients A columns) := | |
| Fintype.expect_equiv (actualMapPairEquiv rhs J) _ _ (fun _ => rfl) | |
| _ = _ := uniform_visible_coefficients A F | |
| theorem actual_maps_visible_product [Fintype W] [Fintype K] [Fintype S] | |
| (A : K →ₗ[F2] S) (f : RawSlot J → W × A.range → ℝ) : | |
| (𝔼 maps : (PartnerSpace rhs J →ₗ[F2] W) × (PartnerSpace rhs J →ₗ[F2] K), | |
| ∏ i, f i (actualVisibleCoefficients rhs J A maps i)) = | |
| ∏ i, 𝔼 e : W × A.range, f i e := by | |
| exact (actual_maps_visible_uniform rhs J A (fun gamma => ∏ i, f i (gamma i))).trans | |
| (uniform_coordinate_product f) | |
| theorem actual_maps_visible_pushforward [Fintype W] [Fintype K] [Fintype S] | |
| (A : K →ₗ[F2] S) : | |
| (FiniteDistribution.uniform | |
| ((PartnerSpace rhs J →ₗ[F2] W) × (PartnerSpace rhs J →ₗ[F2] K))).pushforward | |
| (actualVisibleCoefficients rhs J A) = | |
| FiniteDistribution.uniform (RawSlot J → W × A.range) := | |
| uniform_pushforward_of_expect (actualVisibleCoefficients rhs J A) | |
| (actual_maps_visible_uniform rhs J A) | |
| end ActualMaps | |
| end | |
| end UniqueGamesTheorem.Clean.AdviceImageLaw | |
| end | |
| end OAI | |