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Add lean source and binary files (part 59)
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import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Data.List.FinRange
import Mathlib.Logic.Equiv.Prod
import OAI.Computability.BinPacking.Information.EmptyContext
import OAI.Computability.BinPacking.PCP.SourceEncoding
import OAI.Computability.BinPacking.Reductions.FiniteNoise
namespace OAI
noncomputable section
namespace BinPackingGames.Foundations.Hastad
open scoped BigOperators
open BinPackingGames.Reduction.FiniteNoise
variable {I J : Type*} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
omit [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] in
theorem dictator_test_parity (π : J → I) (i : I) (j : J) (hπ : π j = i)
(f : Cube I) (g μ : Cube J) :
(f i ^^ g j ^^ (thirdQuery π f g μ) j) = μ j := by
simp only [thirdQuery, cubeXor, hπ]
cases f i <;> cases g j <;> cases μ j <;> rfl
theorem noise_coordinate_sign (ε : ℝ) (j : J) :
(∑ μ : Cube J, noiseWeight ε μ * bitSign (μ j)) = 1 - 2 * ε := by
have hs : support (coordinateMask j) = {j} := by
ext k
simp [support, coordinateMask]
have h := noise_walsh ε (coordinateMask j)
simp_rw [walsh_symm (coordinateMask j), walsh_coordinateMask] at h
simpa only [hs, Finset.card_singleton, pow_one] using h
theorem noise_coordinate_false (ε : ℝ) (j : J) :
(∑ μ : Cube J, noiseWeight ε μ * if μ j then (0 : ℝ) else 1) = 1 - ε := by
have hind (b : Bool) : (if b then (0 : ℝ) else 1) =
(1 + bitSign b) * (2 : ℝ)⁻¹ := by
cases b <;> norm_num [bitSign]
have ht (μ : Cube J) : noiseWeight ε μ * (if μ j then (0 : ℝ) else 1) =
(noiseWeight ε μ + noiseWeight ε μ * bitSign (μ j)) * (2 : ℝ)⁻¹ := by
rw [hind]
ring
simp_rw [ht]
rw [← Finset.sum_mul, Finset.sum_add_distrib, noiseWeight_sum, noise_coordinate_sign]
ring
theorem testAcceptance_dictator (ε : ℝ) (π : J → I)
(i : I) (j : J) (hπ : π j = i) :
testAcceptance ε π (fun f => f i) (fun g => g j) = 1 - ε := by
have hg (f : Cube I) (μ : Cube J) :
(𝔼 g : Cube J, if f i ^^ g j ^^ (thirdQuery π f g μ) j then (0 : ℝ) else 1) =
if μ j then 0 else 1 := by
calc
_ = 𝔼 _g : Cube J, if μ j then (0 : ℝ) else 1 := by
apply Finset.expect_congr rfl
intro g _
rw [dictator_test_parity π i j hπ f g μ]
_ = _ := Fintype.expect_const _
change (𝔼 f : Cube I, ∑ μ : Cube J, noiseWeight ε μ *
(𝔼 g : Cube J, if f i ^^ g j ^^ (thirdQuery π f g μ) j then (0 : ℝ) else 1)) = _
simp_rw [hg]
rw [Fintype.expect_const]
exact noise_coordinate_false ε j
theorem testAcceptance_folded_dictators (ε : ℝ) (π : J → I)
(i₀ i : I) (j₀ j : J) (hπ : π j = i) :
testAcceptance ε π (foldedAnswer i₀ (fun h => h.val i))
(foldedAnswer j₀ (fun h => h.val j)) = 1 - ε := by
have hA : foldedAnswer i₀ (fun h => h.val i) = (fun f : Cube I => f i) :=
funext (foldedAnswer_dictator i₀ i)
have hB : foldedAnswer j₀ (fun h => h.val j) = (fun g : Cube J => g j) :=
funext (foldedAnswer_dictator j₀ j)
rw [hA, hB]
exact testAcceptance_dictator ε π i j hπ
theorem testAcceptance_conditioned_dictators (ε : ℝ) (π : J → I)
(validI : I → Bool) (validJ : J → Bool)
(i₀ i : {i : I // validI i = true}) (j₀ j : {j : J // validJ j = true})
(hπ : π j.val = i.val) :
testAcceptance ε π
(conditionedFoldedAnswer validI i₀ (fun h => h.val i))
(conditionedFoldedAnswer validJ j₀ (fun h => h.val j)) = 1 - ε := by
have hA : conditionedFoldedAnswer validI i₀ (fun h => h.val i) =
(fun f : Cube I => f i.val) :=
funext (conditionedFoldedAnswer_dictator validI i₀ i)
have hB : conditionedFoldedAnswer validJ j₀ (fun h => h.val j) =
(fun g : Cube J => g j.val) :=
funext (conditionedFoldedAnswer_dictator validJ j₀ j)
rw [hA, hB]
exact testAcceptance_dictator ε π i.val j.val hπ
theorem testAcceptance_folded_conditioned_dictators (ε : ℝ) (π : J → I)
(i₀ i : I) (valid : J → Bool)
(j₀ j : {j : J // valid j = true}) (hπ : π j.val = i) :
testAcceptance ε π (foldedAnswer i₀ (fun h => h.val i))
(conditionedFoldedAnswer valid j₀ (fun h => h.val j)) = 1 - ε := by
have hA : foldedAnswer i₀ (fun h => h.val i) = (fun f : Cube I => f i) :=
funext (foldedAnswer_dictator i₀ i)
have hB : conditionedFoldedAnswer valid j₀ (fun h => h.val j) =
(fun g : Cube J => g j.val) :=
funext (conditionedFoldedAnswer_dictator valid j₀ j)
rw [hA, hB]
exact testAcceptance_dictator ε π i j.val hπ
def realizedTestAcceptance (D : Nat) (π : J → I)
(A : Cube I → Bool) (B : Cube J → Bool) : ℝ :=
𝔼 f : Cube I, 𝔼 z : J → Fin D, 𝔼 g : Cube J,
if A f ^^ B g ^^ B (thirdQuery π f g (realizedNoise z)) then 0 else 1
theorem realizedTestAcceptance_eq_testAcceptance {D : Nat} (positive : 0 < D)
(π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) :
realizedTestAcceptance D π A B = testAcceptance ((D : ℝ)⁻¹) π A B := by
unfold realizedTestAcceptance testAcceptance
apply Finset.expect_congr rfl
intro f _
exact expect_realizedNoise positive
(fun μ => 𝔼 g : Cube J, if A f ^^ B g ^^ B (thirdQuery π f g μ) then 0 else 1)
theorem realizedTestAcceptance_dictator {D : Nat} (positive : 0 < D)
(π : J → I) (i : I) (j : J) (hπ : π j = i) :
realizedTestAcceptance D π (fun f => f i) (fun g => g j) = 1 - (D : ℝ)⁻¹ := by
rw [realizedTestAcceptance_eq_testAcceptance positive]
exact testAcceptance_dictator _ π i j hπ
theorem realizedTestAcceptance_folded_dictators {D : Nat} (positive : 0 < D)
(π : J → I) (i₀ i : I) (j₀ j : J) (hπ : π j = i) :
realizedTestAcceptance D π (foldedAnswer i₀ (fun h => h.val i))
(foldedAnswer j₀ (fun h => h.val j)) = 1 - (D : ℝ)⁻¹ := by
rw [realizedTestAcceptance_eq_testAcceptance positive]
exact testAcceptance_folded_dictators _ π i₀ i j₀ j hπ
theorem realizedTestAcceptance_conditioned_dictators {D : Nat} (positive : 0 < D)
(π : J → I) (validI : I → Bool) (validJ : J → Bool)
(i₀ i : {i : I // validI i = true}) (j₀ j : {j : J // validJ j = true})
(hπ : π j.val = i.val) :
realizedTestAcceptance D π
(conditionedFoldedAnswer validI i₀ (fun h => h.val i))
(conditionedFoldedAnswer validJ j₀ (fun h => h.val j)) = 1 - (D : ℝ)⁻¹ := by
rw [realizedTestAcceptance_eq_testAcceptance positive]
exact testAcceptance_conditioned_dictators _ π validI validJ i₀ i j₀ j hπ
theorem realizedTestAcceptance_folded_conditioned_dictators {D : Nat} (positive : 0 < D)
(π : J → I) (i₀ i : I) (valid : J → Bool)
(j₀ j : {j : J // valid j = true}) (hπ : π j.val = i) :
realizedTestAcceptance D π (foldedAnswer i₀ (fun h => h.val i))
(conditionedFoldedAnswer valid j₀ (fun h => h.val j)) = 1 - (D : ℝ)⁻¹ := by
rw [realizedTestAcceptance_eq_testAcceptance positive]
exact testAcceptance_folded_conditioned_dictators _ π i₀ i valid j₀ j hπ
end BinPackingGames.Foundations.Hastad
namespace BinPackingGames.Foundations.Hastad.SourceTape
open scoped BigOperators
open BinPackingGames.Reduction.FiniteNoise
abbrev TestTape (I J : Type*) (D : ℕ) :=
Cube I × ((J → Fin D) × Cube J)
abbrev FairTestTape (I J : Type*) (D : ℕ) := TestTape I J D × Bool
section Expectations
variable {X Y : Type*} [Fintype X] [Fintype Y]
theorem expect_prod (H : X × Y → ℝ) :
(𝔼 p : X × Y, H p) = 𝔼 x : X, 𝔼 y : Y, H (x, y) := by
simpa only [Finset.univ_product_univ] using
(Finset.expect_product (Finset.univ : Finset X) (Finset.univ : Finset Y) H)
end Expectations
section Tape
variable {I J : Type*} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] {D : ℕ}
theorem card_testTape :
Fintype.card (TestTape I J D) =
2 ^ Fintype.card I * (D ^ Fintype.card J * 2 ^ Fintype.card J) := by
simp [TestTape, Cube]
theorem card_fairTestTape :
Fintype.card (FairTestTape I J D) =
(2 ^ Fintype.card I * (D ^ Fintype.card J * 2 ^ Fintype.card J)) * 2 := by
rw [Fintype.card_prod, card_testTape]
rfl
theorem expect_testTape (H : TestTape I J D → ℝ) :
(𝔼 t : TestTape I J D, H t) =
𝔼 f : Cube I, 𝔼 z : J → Fin D, 𝔼 g : Cube J, H (f, z, g) := by
rw [expect_prod]
apply Finset.expect_congr rfl
intro f _
exact expect_prod _
theorem expect_equivTape {E : Type*} [Fintype E]
(e : E ≃ TestTape I J D) (H : TestTape I J D → ℝ) :
(𝔼 s : E, H (e s)) = 𝔼 t : TestTape I J D, H t :=
Fintype.expect_equiv e _ _ (fun _ => rfl)
theorem expect_fairTestTape (H : FairTestTape I J D → ℝ) :
(𝔼 t : FairTestTape I J D, H t) =
𝔼 t : TestTape I J D, (H (t, false) + H (t, true)) / 2 := by
rw [expect_prod]
apply Finset.expect_congr rfl
intro t _
rw [Fintype.expect_eq_sum_div_card]
simp [add_comm]
theorem expect_fairTestTape_ignore (H : TestTape I J D → ℝ) :
(𝔼 t : FairTestTape I J D, H t.1) = 𝔼 t : TestTape I J D, H t := by
rw [expect_prod]
simp only [Fintype.expect_const]
def tapeQueries (π : J → I) (t : TestTape I J D) : Cube I × Cube J × Cube J :=
(t.1, t.2.2, thirdQuery π t.1 t.2.2 (realizedNoise t.2.1))
theorem expect_tapeQueries (positive : 0 < D) (π : J → I)
(H : Cube I × Cube J × Cube J → ℝ) :
(𝔼 t : TestTape I J D, H (tapeQueries π t)) =
𝔼 f : Cube I, ∑ μ : Cube J, noiseWeight ((D : ℝ)⁻¹) μ *
(𝔼 g : Cube J, H (f, g, thirdQuery π f g μ)) := by
rw [expect_testTape]
apply Finset.expect_congr rfl
intro f _
exact expect_realizedNoise positive
(fun μ => 𝔼 g : Cube J, H (f, g, thirdQuery π f g μ))
def tapeAcceptance (D : ℕ) (π : J → I)
(A : Cube I → Bool) (B : Cube J → Bool) : ℝ :=
𝔼 t : TestTape I J D,
if A t.1 ^^ B t.2.2 ^^ B (thirdQuery π t.1 t.2.2 (realizedNoise t.2.1))
then 0 else 1
theorem tapeAcceptance_eq_realizedTestAcceptance (D : ℕ) (π : J → I)
(A : Cube I → Bool) (B : Cube J → Bool) :
tapeAcceptance D π A B = realizedTestAcceptance D π A B :=
expect_testTape _
theorem tapeAcceptance_eq_testAcceptance (positive : 0 < D) (π : J → I)
(A : Cube I → Bool) (B : Cube J → Bool) :
tapeAcceptance D π A B = testAcceptance ((D : ℝ)⁻¹) π A B := by
rw [tapeAcceptance_eq_realizedTestAcceptance,
realizedTestAcceptance_eq_testAcceptance positive]
theorem tapeAcceptance_eq_sum_div_card (D : ℕ) (π : J → I)
(A : Cube I → Bool) (B : Cube J → Bool) :
tapeAcceptance D π A B =
(∑ t : TestTape I J D,
if A t.1 ^^ B t.2.2 ^^ B (thirdQuery π t.1 t.2.2 (realizedNoise t.2.1))
then (0 : ℝ) else 1) / Fintype.card (TestTape I J D) :=
Fintype.expect_eq_sum_div_card _
end Tape
variable {X Λ : Type*}
def restrictFunction (P : X → Prop) (f : X → Λ) : {x : X // P x} → Λ :=
fun x => f x.val
theorem expect_restrictFunction [Fintype X] [DecidableEq X] [Fintype Λ] [Nonempty Λ]
(P : X → Prop) [DecidablePred P] (H : ({x : X // P x} → Λ) → ℝ) :
(𝔼 f : X → Λ, H (restrictFunction P f)) =
𝔼 g : {x : X // P x} → Λ, H g := by
classical
calc
_ = 𝔼 p : ({x : X // P x} → Λ) × ({x : X // ¬ P x} → Λ), H p.1 :=
Fintype.expect_equiv (Equiv.piEquivPiSubtypeProd P (fun _ => Λ)) _ _
(fun _ => rfl)
_ = _ := by
rw [expect_prod]
simp only [Fintype.expect_const]
variable {I J : Type*}
def restrictTape (P : I → Prop) (Q : J → Prop) {D : ℕ}
(t : TestTape I J D) : TestTape {i : I // P i} {j : J // Q j} D :=
(restrictFunction P t.1, restrictFunction Q t.2.1, restrictFunction Q t.2.2)
theorem expect_restrictTape [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
(P : I → Prop) (Q : J → Prop) [DecidablePred P] [DecidablePred Q]
{D : ℕ} (positive : 0 < D)
(H : TestTape {i : I // P i} {j : J // Q j} D → ℝ) :
(𝔼 t : TestTape I J D, H (restrictTape P Q t)) =
𝔼 t : TestTape {i : I // P i} {j : J // Q j} D, H t := by
let : Nonempty (Fin D) := ⟨⟨0, positive⟩⟩
rw [expect_testTape, expect_testTape]
change (𝔼 f : Cube I, 𝔼 z : J → Fin D, 𝔼 g : Cube J,
H (restrictFunction P f, restrictFunction Q z, restrictFunction Q g)) = _
have hg (f : Cube I) (z : J → Fin D) :
(𝔼 g : Cube J,
H (restrictFunction P f, restrictFunction Q z, restrictFunction Q g)) =
𝔼 g : Cube {j : J // Q j}, H (restrictFunction P f, restrictFunction Q z, g) :=
expect_restrictFunction (Λ := Bool) Q
(fun g => H (restrictFunction P f, restrictFunction Q z, g))
simp_rw [hg]
have hz (f : Cube I) :
(𝔼 z : J → Fin D, 𝔼 g : Cube {j : J // Q j},
H (restrictFunction P f, restrictFunction Q z, g)) =
𝔼 z : {j : J // Q j} → Fin D, 𝔼 g : Cube {j : J // Q j},
H (restrictFunction P f, z, g) :=
expect_restrictFunction (Λ := Fin D) Q
(fun z => 𝔼 g : Cube {j : J // Q j}, H (restrictFunction P f, z, g))
simp_rw [hz]
exact expect_restrictFunction (Λ := Bool) P
(fun f => 𝔼 z : {j : J // Q j} → Fin D, 𝔼 g : Cube {j : J // Q j}, H (f, z, g))
def restrictedProjection (P : I → Prop) (Q : J → Prop) (π : J → I)
(hπ : ∀ j, Q j → P (π j)) : {j : J // Q j} → {i : I // P i} :=
fun j => ⟨π j.val, hπ j.val j.property⟩
theorem restrict_realizedNoise (Q : J → Prop) {D : ℕ} (z : J → Fin D) :
restrictFunction Q (realizedNoise z) = realizedNoise (restrictFunction Q z) := rfl
theorem restrict_thirdQuery (P : I → Prop) (Q : J → Prop) (π : J → I)
(hπ : ∀ j, Q j → P (π j)) (f : Cube I) (g μ : Cube J) :
restrictFunction Q (thirdQuery π f g μ) =
thirdQuery (restrictedProjection P Q π hπ)
(restrictFunction P f) (restrictFunction Q g) (restrictFunction Q μ) := rfl
theorem expect_restricted_queries [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
(P : I → Prop) (Q : J → Prop) [DecidablePred P] [DecidablePred Q]
(π : J → I) (hπ : ∀ j, Q j → P (π j)) {D : ℕ} (positive : 0 < D)
(H : Cube {i : I // P i} × Cube {j : J // Q j} × Cube {j : J // Q j} → ℝ) :
(𝔼 t : TestTape I J D,
H (restrictFunction P t.1, restrictFunction Q t.2.2,
restrictFunction Q (thirdQuery π t.1 t.2.2 (realizedNoise t.2.1)))) =
𝔼 t : TestTape {i : I // P i} {j : J // Q j} D,
H (tapeQueries (restrictedProjection P Q π hπ) t) := by
exact expect_restrictTape P Q positive
(fun t => H (tapeQueries (restrictedProjection P Q π hπ) t))
def restrictRightTape (Q : J → Prop) {D : ℕ} (t : TestTape I J D) :
TestTape I {j : J // Q j} D :=
(t.1, restrictFunction Q t.2.1, restrictFunction Q t.2.2)
theorem expect_restrictRightTape [Fintype I] [DecidableEq I]
[Fintype J] [DecidableEq J] (Q : J → Prop) [DecidablePred Q]
{D : ℕ} (positive : 0 < D) (H : TestTape I {j : J // Q j} D → ℝ) :
(𝔼 t : TestTape I J D, H (restrictRightTape Q t)) =
𝔼 t : TestTape I {j : J // Q j} D, H t := by
let : Nonempty (Fin D) := ⟨⟨0, positive⟩⟩
rw [expect_testTape, expect_testTape]
apply Finset.expect_congr rfl
intro f _
change (𝔼 z : J → Fin D, 𝔼 g : Cube J,
H (f, restrictFunction Q z, restrictFunction Q g)) = _
have hg (z : J → Fin D) :
(𝔼 g : Cube J, H (f, restrictFunction Q z, restrictFunction Q g)) =
𝔼 g : Cube {j : J // Q j}, H (f, restrictFunction Q z, g) :=
expect_restrictFunction (Λ := Bool) Q (fun g => H (f, restrictFunction Q z, g))
simp_rw [hg]
exact expect_restrictFunction (Λ := Fin D) Q
(fun z => 𝔼 g : Cube {j : J // Q j}, H (f, z, g))
theorem expect_rightRestricted_queries [Fintype I] [DecidableEq I]
[Fintype J] [DecidableEq J] (Q : J → Prop) [DecidablePred Q]
(π : J → I) {D : ℕ} (positive : 0 < D)
(H : Cube I × Cube {j : J // Q j} × Cube {j : J // Q j} → ℝ) :
(𝔼 t : TestTape I J D,
H (t.1, restrictFunction Q t.2.2,
restrictFunction Q (thirdQuery π t.1 t.2.2 (realizedNoise t.2.1)))) =
𝔼 t : TestTape I {j : J // Q j} D,
H (tapeQueries (fun j => π j.val) t) := by
exact expect_restrictRightTape Q positive
(fun t => H (tapeQueries (fun j => π j.val) t))
end BinPackingGames.Foundations.Hastad.SourceTape
namespace BinPackingGames.Foundations.Hastad.SourceOccurrences
open BinPackingGames.Reduction.CloneGap
open scoped BigOperators
structure Encoding (α : Type) where
size : ℕ
code : α ≃ Fin size
namespace Encoding
def fin (n : ℕ) : Encoding (Fin n) := ⟨n, Equiv.refl _⟩
def bool : Encoding Bool := ⟨2, finTwoEquiv.symm⟩
def unit : Encoding Unit := ⟨1, finOneEquiv.symm⟩
def prod {α β : Type} (a : Encoding α) (b : Encoding β) : Encoding (α × β) :=
⟨a.size * b.size, (Equiv.prodCongr a.code b.code).trans finProdFinEquiv⟩
def sum {α β : Type} (a : Encoding α) (b : Encoding β) : Encoding (α ⊕ β) :=
⟨a.size + b.size, (Equiv.sumCongr a.code b.code).trans finSumFinEquiv⟩
def function {α β : Type} (a : Encoding α) (b : Encoding β) : Encoding (α → β) where
size := b.size ^ a.size
code := (show (α → β) ≃ (Fin a.size → Fin b.size) from
{ toFun := fun f i => b.code (f (a.code.symm i))
invFun := fun f x => b.code.symm (f (a.code x))
left_inv := by intro f; funext x; simp
right_inv := by intro f; funext i; simp }).trans finFunctionFinEquiv
def enumerate {α : Type} (a : Encoding α) : List α := List.ofFn a.code.symm
@[simp] theorem length_enumerate {α : Type} (a : Encoding α) :
a.enumerate.length = a.size := by simp [enumerate]
theorem mem_enumerate {α : Type} (a : Encoding α) (x : α) : x ∈ a.enumerate := by
rw [enumerate, List.mem_ofFn']
exact ⟨a.code x, a.code.symm_apply_apply x⟩
theorem nodup_enumerate {α : Type} (a : Encoding α) : a.enumerate.Nodup :=
List.nodup_ofFn_ofInjective a.code.symm.injective
theorem card_eq_size {α : Type} [Fintype α] (a : Encoding α) :
Fintype.card α = a.size := by
simpa only [Fintype.card_fin] using Fintype.card_congr a.code
end Encoding
abbrev GlobalKey (V C I J : Type) := (V × Cube I) ⊕ ((C × Cube J) ⊕ Unit)
def globalEncoding {V C I J : Type}
(v : Encoding V) (c : Encoding C) (i : Encoding I) (j : Encoding J) :
Encoding (GlobalKey V C I J) :=
(v.prod (i.function Encoding.bool)).sum
((c.prod (j.function Encoding.bool)).sum Encoding.unit)
@[simp] theorem globalEncoding_size {V C I J : Type}
(v : Encoding V) (c : Encoding C) (i : Encoding I) (j : Encoding J) :
(globalEncoding v c i j).size =
v.size * 2 ^ i.size + (c.size * 2 ^ j.size + 1) := rfl
def extendRestricted {J : Type} (valid : J → Bool)
(f : Cube {j : J // valid j = true}) : Cube J :=
fun j => if h : valid j = true then f ⟨j, h⟩ else false
@[simp] theorem extendRestricted_valid {J : Type} (valid : J → Bool)
(f : Cube {j : J // valid j = true}) (j : {j : J // valid j = true}) :
extendRestricted valid f j.val = f j := by simp [extendRestricted, j.property]
theorem extendRestricted_injective {J : Type} (valid : J → Bool) :
Function.Injective (extendRestricted valid) := by
intro f g h
funext j
have := congrFun h j.val
simpa only [extendRestricted_valid] using this
@[simp] theorem restrictQuery_extendRestricted {J : Type} (valid : J → Bool)
(f : Cube {j : J // valid j = true}) :
restrictQuery valid (extendRestricted valid f) = f := by
funext j
exact extendRestricted_valid valid f j
@[simp] theorem canonicalInput_half {I : Type} [Fintype I] [DecidableEq I]
(i₀ : I) (f : HalfCube i₀) :
canonicalInput i₀ f.val = f := by
apply Subtype.ext
simp [canonicalInput, representative, f.property]
def assignmentOfKey {V C I J : Type}
(v : Encoding V) (c : Encoding C) (i : Encoding I) (j : Encoding J)
(bits : GlobalKey V C I J → Bool) : Fin (globalEncoding v c i j).size → Bool :=
fun q => bits ((globalEncoding v c i j).code.symm q)
@[simp] theorem assignmentOfKey_code {V C I J : Type}
(v : Encoding V) (c : Encoding C) (i : Encoding I) (j : Encoding J)
(bits : GlobalKey V C I J → Bool) (key : GlobalKey V C I J) :
assignmentOfKey v c i j bits ((globalEncoding v c i j).code key) = bits key := by
exact congrArg bits ((globalEncoding v c i j).code.symm_apply_apply key)
theorem assignmentOfKey_surjective {V C I J : Type}
(v : Encoding V) (c : Encoding C) (i : Encoding I) (j : Encoding J) :
Function.Surjective (assignmentOfKey v c i j) := by
intro bits
refine ⟨fun key => bits ((globalEncoding v c i j).code key), ?_⟩
funext q
exact congrArg bits ((globalEncoding v c i j).code.apply_symm_apply q)
section LocalEquations
variable {V C I J : Type} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
def localAddress (vE : Encoding V) (cE : Encoding C) (iE : Encoding I) (jE : Encoding J)
(v : V) (c : C) (valid : J → Bool) (i₀ : I) (j₀ : {j : J // valid j = true}) :
FoldedEquation.Address i₀ j₀ → Fin (globalEncoding vE cE iE jE).size
| .inl f => (globalEncoding vE cE iE jE).code (.inl (v, f.val))
| .inr g => (globalEncoding vE cE iE jE).code (.inr (.inl (c, extendRestricted valid g.val)))
omit [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] in
theorem localAddress_injective
(vE : Encoding V) (cE : Encoding C) (iE : Encoding I) (jE : Encoding J)
(v : V) (c : C) (valid : J → Bool) (i₀ : I) (j₀ : {j : J // valid j = true}) :
Function.Injective (localAddress vE cE iE jE v c valid i₀ j₀) := by
intro a b h
cases a with
| inl a =>
cases b with
| inl b =>
have h' := (globalEncoding vE cE iE jE).code.injective h
have hval : a.val = b.val := congrArg Prod.snd (Sum.inl.inj h')
exact congrArg Sum.inl (Subtype.ext hval)
| inr b =>
have h' := (globalEncoding vE cE iE jE).code.injective h
cases h'
| inr a =>
cases b with
| inl b =>
have h' := (globalEncoding vE cE iE jE).code.injective h
cases h'
| inr b =>
have h' := (globalEncoding vE cE iE jE).code.injective h
have hext := congrArg Prod.snd (Sum.inl.inj (Sum.inr.inj h'))
exact congrArg Sum.inr (Subtype.ext (extendRestricted_injective valid hext))
def conditionedOccurrence
(vE : Encoding V) (cE : Encoding C) (iE : Encoding I) (jE : Encoding J)
(v : V) (c : C) (valid : J → Bool) (π : J → I)
(i₀ : I) (j₀ : {j : J // valid j = true}) (f : Cube I) (g μ : Cube J) :
Equation (Fin (globalEncoding vE cE iE jE).size) :=
mapEquation (localAddress vE cE iE jE v c valid i₀ j₀)
(FoldedEquation.conditionedEquation valid π i₀ j₀ f g μ)
omit [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] in
theorem conditionedOccurrence_satisfied
(vE : Encoding V) (cE : Encoding C) (iE : Encoding I) (jE : Encoding J)
(v : V) (c : C) (valid : J → Bool) (π : J → I)
(i₀ : I) (j₀ : {j : J // valid j = true})
(bits : Fin (globalEncoding vE cE iE jE).size → Bool)
(f : Cube I) (g μ : Cube J) :
satisfied (conditionedOccurrence vE cE iE jE v c valid π i₀ j₀ f g μ) bits =
!(foldedAnswer i₀ (fun h => bits ((globalEncoding vE cE iE jE).code (.inl (v, h.val)))) f ^^
conditionedFoldedAnswer valid j₀
(fun h => bits ((globalEncoding vE cE iE jE).code
(.inr (.inl (c, extendRestricted valid h.val))))) g ^^
conditionedFoldedAnswer valid j₀
(fun h => bits ((globalEncoding vE cE iE jE).code
(.inr (.inl (c, extendRestricted valid h.val))))) (thirdQuery π f g μ)) := by
rw [conditionedOccurrence, satisfied_mapEquation]
let tableA : HalfCube i₀ → Bool :=
fun h => bits ((globalEncoding vE cE iE jE).code (.inl (v, h.val)))
let tableB : HalfCube j₀ → Bool :=
fun h => bits ((globalEncoding vE cE iE jE).code
(.inr (.inl (c, extendRestricted valid h.val))))
have hbits : bits ∘ localAddress vE cE iE jE v c valid i₀ j₀ =
FoldedEquation.storedAssignment tableA tableB := by
funext a
cases a <;> rfl
rw [hbits]
exact FoldedEquation.conditionedEquation_satisfied valid π i₀ j₀ tableA tableB f g μ
end LocalEquations
def findValid {J : Type} (valid : J → Bool) : List J → Option {j : J // valid j = true}
| [] => none
| j :: rest => if h : valid j = true then some ⟨j, h⟩ else findValid valid rest
theorem findValid_none_iff {J : Type} (valid : J → Bool) (xs : List J) :
findValid valid xs = none ↔ ∀ j ∈ xs, valid j = false := by
induction xs with
| nil => simp [findValid]
| cons j xs ih =>
by_cases hj : valid j = true
· simp [findValid, hj]
· simp [findValid, hj, ih]
def firstValid {J : Type} (e : Encoding J) (valid : J → Bool) :
Option {j : J // valid j = true} := findValid valid e.enumerate
theorem firstValid_none_iff {J : Type} (e : Encoding J) (valid : J → Bool) :
firstValid e valid = none ↔ ∀ j, valid j = false := by
rw [firstValid, findValid_none_iff]
exact ⟨fun h j => h j (e.mem_enumerate j), fun h j _ => h j⟩
def occurrenceList {Tape Name : Type} (tape : Encoding Tape)
(emit : Tape → Equation Name) : List (Equation Name) := tape.enumerate.map emit
@[simp] theorem occurrenceList_length {Tape Name : Type} (tape : Encoding Tape)
(emit : Tape → Equation Name) : (occurrenceList tape emit).length = tape.size := by
simp [occurrenceList]
private theorem countP_cast_eq_sum {α : Type} (xs : List α) (p : α → Bool) :
(xs.countP p : ℝ) = (xs.map (fun x => if p x then (1 : ℝ) else 0)).sum := by
induction xs with
| nil => simp
| cons x xs ih => cases hp : p x <;> simp [hp, ih, add_comm]
theorem countP_enumerate {Tape : Type} [Fintype Tape]
(tape : Encoding Tape) (p : Tape → Bool) :
(tape.enumerate.countP p : ℝ) = ∑ x, if p x then (1 : ℝ) else 0 := by
rw [countP_cast_eq_sum]
simp only [Encoding.enumerate, List.map_ofFn, List.sum_ofFn]
exact Fintype.sum_equiv tape.code.symm _ _ (fun _ => rfl)
theorem occurrenceList_acceptance {Tape Name : Type} [Fintype Tape]
(tape : Encoding Tape) (emit : Tape → Equation Name) (bits : Name → Bool) :
((occurrenceList tape emit).countP (fun e => satisfied e bits) : ℝ) /
(occurrenceList tape emit).length =
𝔼 x, if satisfied (emit x) bits then (1 : ℝ) else 0 := by
rw [occurrenceList_length, Fintype.expect_eq_sum_div_card, tape.card_eq_size]
congr 1
simpa only [occurrenceList, List.countP_map, Function.comp_def] using
countP_enumerate tape (fun x => satisfied (emit x) bits)
open SourceContexts
open BinPackingGames.Reduction.FiniteNoise
def clauseAnswerEncoding : Encoding PCP.ClauseAnswer := ⟨8, clauseAnswerFinEquiv⟩
def slotEncoding : Encoding PCP.Slot where
size := 3
code :=
{ toFun := fun s => match s with | .first => 0 | .second => 1 | .third => 2
invFun := fun i => if i.val = 0 then .first else if i.val = 1 then .second else .third
left_inv := by intro s; cases s <;> rfl
right_inv := by decide }
def iEncoding (u : ℕ) : Encoding (I u) := (Encoding.fin u).function Encoding.bool
def jEncoding (u : ℕ) : Encoding (J u) := (Encoding.fin u).function clauseAnswerEncoding
def variableEncoding (F : Target.Formula) (u : ℕ) : Encoding (VariableContext F u) :=
(Encoding.fin u).function (Encoding.fin F.variables)
def clauseEncoding (F : Target.Formula) (u : ℕ) : Encoding (ClauseContext F u) :=
(Encoding.fin u).function (Encoding.fin F.clauses.length)
def slotContextEncoding (u : ℕ) : Encoding (SlotContext u) :=
(Encoding.fin u).function slotEncoding
def proofEncoding (F : Target.Formula) (u : ℕ) :
Encoding (GlobalKey (VariableContext F u) (ClauseContext F u) (I u) (J u)) :=
globalEncoding (variableEncoding F u) (clauseEncoding F u) (iEncoding u) (jEncoding u)
def nBits (F : Target.Formula) (u : ℕ) : ℕ := (proofEncoding F u).size
@[simp] theorem nBits_eq (F : Target.Formula) (u : ℕ) :
nBits F u = F.variables ^ u * 2 ^ (2 ^ u) +
(F.clauses.length ^ u * 2 ^ (8 ^ u) + 1) := rfl
def dummyIndex (F : Target.Formula) (u : ℕ) : Fin (nBits F u) :=
(proofEncoding F u).code (.inr (.inr ()))
def leftAnchor (u : ℕ) : I u := fun _ => false
def rightAnchor (F : Target.Formula) {u : ℕ} (c : ClauseContext F u) :
Option {j : J u // validJ F c j = true} := firstValid (jEncoding u) (validJ F c)
theorem rightAnchor_none_iff (F : Target.Formula) {u : ℕ} (c : ClauseContext F u) :
rightAnchor F c = none ↔ ∀ j : J u, validJ F c j = false :=
firstValid_none_iff _ _
def halfTableKeyAssignment (F : Target.Formula) (u : ℕ)
(a : VariableContext F u → HalfCube (leftAnchor u) → Bool)
(b : ∀ c : ClauseContext F u, ∀ j₀ : {j : J u // validJ F c j = true},
HalfCube j₀ → Bool) :
GlobalKey (VariableContext F u) (ClauseContext F u) (I u) (J u) → Bool
| .inl (v, f) => a v (canonicalInput (leftAnchor u) f)
| .inr (.inl (c, g)) =>
match rightAnchor F c with
| none => false
| some j₀ => b c j₀ (canonicalInput j₀ (restrictQuery (validJ F c) g))
| .inr (.inr _) => false
def extendHalfTables (F : Target.Formula) (u : ℕ)
(a : VariableContext F u → HalfCube (leftAnchor u) → Bool)
(b : ∀ c : ClauseContext F u, ∀ j₀ : {j : J u // validJ F c j = true},
HalfCube j₀ → Bool) : Fin (nBits F u) → Bool :=
assignmentOfKey (variableEncoding F u) (clauseEncoding F u) (iEncoding u) (jEncoding u)
(halfTableKeyAssignment F u a b)
@[simp] theorem extendHalfTables_left (F : Target.Formula) (u : ℕ)
(a : VariableContext F u → HalfCube (leftAnchor u) → Bool)
(b : ∀ c : ClauseContext F u, ∀ j₀ : {j : J u // validJ F c j = true},
HalfCube j₀ → Bool) (v : VariableContext F u) (h : HalfCube (leftAnchor u)) :
extendHalfTables F u a b ((proofEncoding F u).code (.inl (v, h.val))) = a v h := by
calc
_ = halfTableKeyAssignment F u a b (.inl (v, h.val)) :=
assignmentOfKey_code (variableEncoding F u) (clauseEncoding F u) (iEncoding u)
(jEncoding u) (halfTableKeyAssignment F u a b) (.inl (v, h.val))
_ = a v h := congrArg (a v) (canonicalInput_half (leftAnchor u) h)
theorem extendHalfTables_right (F : Target.Formula) (u : ℕ)
(a : VariableContext F u → HalfCube (leftAnchor u) → Bool)
(b : ∀ c : ClauseContext F u, ∀ j₀ : {j : J u // validJ F c j = true},
HalfCube j₀ → Bool) (c : ClauseContext F u)
(j₀ : {j : J u // validJ F c j = true}) (hanchor : rightAnchor F c = some j₀)
(h : HalfCube j₀) :
extendHalfTables F u a b ((proofEncoding F u).code
(.inr (.inl (c, extendRestricted (validJ F c) h.val)))) = b c j₀ h := by
calc
_ = halfTableKeyAssignment F u a b
(.inr (.inl (c, extendRestricted (validJ F c) h.val))) :=
assignmentOfKey_code (variableEncoding F u) (clauseEncoding F u) (iEncoding u)
(jEncoding u) (halfTableKeyAssignment F u a b) _
_ = b c j₀ h := by
simp only [halfTableKeyAssignment, hanchor]
rw [restrictQuery_extendRestricted, canonicalInput_half]
def emptyAddress (F : Target.Formula) (u : ℕ) (v : VariableContext F u) :
EmptyContext.Address (leftAnchor u) → Fin (nBits F u)
| .inl h => (proofEncoding F u).code (.inl (v, h.val))
| .inr _ => dummyIndex F u
def contextEquation (F : Target.Formula) (u D : ℕ)
(c : ClauseContext F u) (v : VariableContext F u)
(t : SourceTape.TestTape (I u) (J u) D) : Equation (Fin (nBits F u)) :=
match rightAnchor F c with
| none => mapEquation (emptyAddress F u v) (EmptyContext.equation (leftAnchor u) t.1)
| some j₀ => conditionedOccurrence (variableEncoding F u) (clauseEncoding F u)
(iEncoding u) (jEncoding u) v c (validJ F c) (pi F c v) (leftAnchor u) j₀
t.1 t.2.2 (realizedNoise t.2.1)
def leftResponse (F : Target.Formula) (u : ℕ) (bits : Fin (nBits F u) → Bool)
(v : VariableContext F u) : Cube (I u) → Bool :=
foldedAnswer (leftAnchor u) (fun h => bits ((proofEncoding F u).code (.inl (v, h.val))))
def rightResponse (F : Target.Formula) (u : ℕ) (bits : Fin (nBits F u) → Bool)
(c : ClauseContext F u) : Cube (J u) → Bool :=
match rightAnchor F c with
| none => fun _ => false
| some j₀ => conditionedFoldedAnswer (validJ F c) j₀
(fun h => bits ((proofEncoding F u).code (.inr (.inl (c, extendRestricted (validJ F c) h.val)))))
theorem contextEquation_satisfied (F : Target.Formula) (u D : ℕ)
(c : ClauseContext F u) (v : VariableContext F u)
(t : SourceTape.TestTape (I u) (J u) D) (bits : Fin (nBits F u) → Bool) :
satisfied (contextEquation F u D c v t) bits =
!(leftResponse F u bits v t.1 ^^ rightResponse F u bits c t.2.2 ^^
rightResponse F u bits c (thirdQuery (pi F c v) t.1 t.2.2 (realizedNoise t.2.1))) := by
cases ha : rightAnchor F c with
| none =>
simp only [contextEquation, ha, satisfied_mapEquation, EmptyContext.equation_satisfied,
rightResponse, Bool.xor_false]
rfl
| some j₀ =>
simp only [contextEquation, ha, rightResponse]
exact conditionedOccurrence_satisfied (variableEncoding F u) (clauseEncoding F u)
(iEncoding u) (jEncoding u) v c (validJ F c) (pi F c v) (leftAnchor u) j₀
bits t.1 t.2.2 (realizedNoise t.2.1)
def testTapeEncoding (u D : ℕ) : Encoding (SourceTape.TestTape (I u) (J u) D) :=
((iEncoding u).function Encoding.bool).prod
(((jEncoding u).function (Encoding.fin D)).prod ((jEncoding u).function Encoding.bool))
abbrev SourceIndex (F : Target.Formula) (u D : ℕ) :=
(ClauseContext F u × SlotContext u) × SourceTape.TestTape (I u) (J u) D
def sourceIndexEncoding (F : Target.Formula) (u D : ℕ) : Encoding (SourceIndex F u D) :=
((clauseEncoding F u).prod (slotContextEncoding u)).prod (testTapeEncoding u D)
def sourceEquation (F : Target.Formula) (u D : ℕ) (p : SourceIndex F u D) :
Equation (Fin (nBits F u)) :=
contextEquation F u D p.1.1 (sampledVariables F p.1.1 p.1.2) p.2
def rawSourceList (F : Target.Formula) (u D : ℕ) : List (Equation (Fin (nBits F u))) :=
occurrenceList (sourceIndexEncoding F u D) (sourceEquation F u D)
@[simp] theorem rawSourceList_length (F : Target.Formula) (u D : ℕ) :
(rawSourceList F u D).length =
(F.clauses.length ^ u * 3 ^ u) *
(2 ^ (2 ^ u) * (D ^ (8 ^ u) * 2 ^ (8 ^ u))) := by
rw [rawSourceList, occurrenceList_length]
rfl
theorem rawSourceList_acceptance (F : Target.Formula) (u D : ℕ)
(hD : 0 < D) (bits : Fin (nBits F u) → Bool) :
((rawSourceList F u D).countP (fun e => satisfied e bits) : ℝ) /
(rawSourceList F u D).length =
𝔼 c : ClauseContext F u, 𝔼 s : SlotContext u,
testAcceptance ((D : ℝ)⁻¹) (pi F c (sampledVariables F c s))
(leftResponse F u bits (sampledVariables F c s)) (rightResponse F u bits c) := by
rw [rawSourceList, occurrenceList_acceptance, SourceTape.expect_prod]
rw [SourceTape.expect_prod]
apply Finset.expect_congr rfl
intro c _
apply Finset.expect_congr rfl
intro s _
rw [← SourceTape.tapeAcceptance_eq_testAcceptance hD]
unfold SourceTape.tapeAcceptance
apply Finset.expect_congr rfl
intro t _
rw [sourceEquation, contextEquation_satisfied]
cases h : leftResponse F u bits (sampledVariables F c s) t.1 ^^
rightResponse F u bits c t.2.2 ^^
rightResponse F u bits c
(thirdQuery (pi F c (sampledVariables F c s)) t.1 t.2.2 (realizedNoise t.2.1)) <;> rfl
def emptyFormulaEquation (F : Target.Formula) (u : ℕ) : Equation (Fin (nBits F u)) :=
⟨dummyIndex F u, dummyIndex F u, dummyIndex F u, false⟩
def sourceList (F : Target.Formula) (u D : ℕ) : List (Equation (Fin (nBits F u))) :=
if F.clauses.isEmpty then [emptyFormulaEquation F u] else rawSourceList F u D
theorem sourceList_empty (F : Target.Formula) (u D : ℕ) (h : F.clauses = []) :
sourceList F u D = [emptyFormulaEquation F u] := by simp [sourceList, h]
theorem sourceList_nonempty (F : Target.Formula) (u D : ℕ) (h : F.clauses ≠ []) :
sourceList F u D = rawSourceList F u D := by
unfold sourceList
rw [List.isEmpty_eq_false_iff.mpr h]
rfl
theorem sourceList_length_le_raw_add_one (F : Target.Formula) (u D : ℕ) :
(sourceList F u D).length ≤ (rawSourceList F u D).length + 1 := by
by_cases h : F.clauses = []
· rw [sourceList_empty F u D h]
rw [List.length_singleton]
omega
· rw [sourceList_nonempty F u D h]
omega
theorem sourceList_ne_nil (F : Target.Formula) (u D : ℕ) (hD : 0 < D) :
sourceList F u D ≠ [] := by
by_cases h : F.clauses = []
· rw [sourceList_empty F u D h]
simp
· rw [sourceList_nonempty F u D h]
apply List.length_pos_iff.mp
rw [rawSourceList_length]
have hc : 0 < F.clauses.length := List.length_pos_iff.mpr h
positivity
def sourceInput (F : Target.Formula) (u D : ℕ) (hD : 0 < D) :
BinPackingGames.Reduction.SourceEncoding.Input :=
⟨nBits F u, sourceList F u D, sourceList_ne_nil F u D hD⟩
theorem emptyFormulaEquation_satisfied (F : Target.Formula) (u : ℕ)
(bits : Fin (nBits F u) → Bool) :
satisfied (emptyFormulaEquation F u) bits = !(bits (dummyIndex F u)) := by
cases h : bits (dummyIndex F u) <;> simp [emptyFormulaEquation, satisfied, h]
end BinPackingGames.Foundations.Hastad.SourceOccurrences
namespace BinPackingGames.Foundations.Hastad.SourceGame
open scoped BigOperators
open Target PCP Games SourceContexts
theorem event_nonempty (F : Formula) (hne : F.clauses ≠ []) :
Nonempty (RandomEvent F) :=
⟨(⟨0, List.length_pos_iff.mpr hne⟩, .first)⟩
def eventLaw (F : Formula) (hne : F.clauses ≠ []) :
FiniteDistribution (RandomEvent F) := by
let : Nonempty (RandomEvent F) := event_nonempty F hne
exact FiniteDistribution.uniform _
def visibleQuestion (F : Formula) (e : RandomEvent F) :
Fin F.variables × Fin F.clauses.length :=
(nameAt (clauseAt F e.1) e.2, e.1)
def baseGame (F : Formula) (hne : F.clauses ≠ []) :
Game (Fin F.variables) (Fin F.clauses.length) Bool ClauseAnswer where
questions := (eventLaw F hne).pushforward (visibleQuestion F)
accepts := baseAccepts F
@[simp] theorem baseGame_accepts (F : Formula) (hne : F.clauses ≠ [])
(v : Fin F.variables) (c : Fin F.clauses.length) (i : Bool) (j : ClauseAnswer) :
(baseGame F hne).accepts v c i j = baseAccepts F v c i j := rfl
theorem eventLaw_probability (F : Formula) (hne : F.clauses ≠ [])
(P : RandomEvent F → Bool) :
(eventLaw F hne).probability P =
(∑ e : RandomEvent F, if P e then (1 : ℝ) else 0) /
(3 * F.clauses.length : ℕ) := by
classical
simp only [eventLaw, FiniteDistribution.uniform, FiniteDistribution.probability]
simp_rw [div_eq_mul_inv]
rw [Finset.sum_mul]
apply Finset.sum_congr rfl
intro e _
cases P e <;> simp [RandomEvent, Fintype.card_prod, card_slot, Nat.mul_comm]
theorem sum_slots (H : Slot → ℝ) :
(∑ s : Slot, H s) = H .first + H .second + H .third := by
have hu : (Finset.univ : Finset Slot) = {.first, .second, .third} := by
ext s
cases s <;> simp
rw [hu]
simp only [Finset.sum_insert, Finset.mem_insert, Finset.mem_singleton,
reduceCtorEq, or_self, not_false_eq_true, Finset.sum_singleton]
ring
theorem sum_slot_accepts (F : Formula) (alice : AliceStrategy F)
(bob : BobStrategy F) (c : Fin F.clauses.length) :
(∑ s : Slot, if accepts F alice bob (c,s) then (1 : ℝ) else 0) =
(acceptedSlots (clauseAt F c) (alice c)
(honestAnswer (clauseAt F c) bob) : ℕ) := by
rw [sum_slots]
by_cases hs : localSatisfies (clauseAt F c) (alice c) = true
· by_cases h₁ : (alice c).first = bob (clauseAt F c)[0].variableIndex <;>
by_cases h₂ : (alice c).second = bob (clauseAt F c)[1].variableIndex <;>
by_cases h₃ : (alice c).third = bob (clauseAt F c)[2].variableIndex <;>
norm_num [accepts, hs, acceptedSlots, matchingSlots, honestAnswer, answerAt, nameAt,
h₁, h₂, h₃]
· simp [accepts, acceptedSlots, hs]
theorem failureCount_eq_sum_map (F : Formula) (bob : BobStrategy F)
(cs : List (Fin F.clauses.length)) :
failureCount F bob cs =
(cs.map (fun c => clauseFailure (clauseAt F c) bob)).sum := by
induction cs with
| nil => rfl
| cons c cs ih => simp only [failureCount, List.map_cons, List.sum_cons, ih]
theorem failureCount_allIndices (F : Formula) (bob : BobStrategy F) :
failureCount F bob (allIndices F) =
∑ c : Fin F.clauses.length, clauseFailure (clauseAt F c) bob := by
rw [failureCount_eq_sum_map]
unfold allIndices
rw [← List.sum_toFinset _ (List.nodup_finRange _), List.toFinset_finRange]
theorem verifier_probability_plus_failure (F : Formula) (hne : F.clauses ≠ [])
(alice : AliceStrategy F) (bob : BobStrategy F) :
(eventLaw F hne).probability (accepts F alice bob) +
(failureCount F bob (allIndices F) : ℝ) / (3 * F.clauses.length : ℕ) ≤ 1 := by
have hm : (0 : ℝ) < (3 * F.clauses.length : ℕ) := by
exact_mod_cast Nat.mul_pos (by decide : 0 < 3) (List.length_pos_iff.mpr hne)
have hlocal (c : Fin F.clauses.length) :
(∑ s : Slot, if accepts F alice bob (c,s) then (1 : ℝ) else 0) +
(clauseFailure (clauseAt F c) bob : ℝ) ≤ 3 := by
rw [sum_slot_accepts]
exact_mod_cast local_rejection_bound (clauseAt F c) (alice c) bob
have hsum := Finset.sum_le_sum (fun c (_ : c ∈ (Finset.univ : Finset _)) => hlocal c)
simp only [Finset.sum_add_distrib, Finset.sum_const, Finset.card_univ,
Fintype.card_fin, nsmul_eq_mul] at hsum
rw [eventLaw_probability, failureCount_allIndices]
push_cast
push_cast at hm
rw [Fintype.sum_prod_type, ← add_div]
apply (div_le_one hm).mpr
simpa only [Nat.cast_mul, Nat.cast_ofNat, mul_comm] using hsum
theorem base_success_le_verifier (F : Formula) (hne : F.clauses ≠ [])
(strategy : Strategy (Fin F.variables) (Fin F.clauses.length) Bool ClauseAnswer) :
(baseGame F hne).success strategy ≤
(eventLaw F hne).probability (accepts F strategy.2 strategy.1) := by
unfold Game.success baseGame
rw [FiniteDistribution.probability_pushforward]
apply FiniteDistribution.probability_mono
intro e he
exact baseAccepts_implies_sampled F e.1 e.2 _ _ he
theorem base_value_le_of_clause_gap (F : Formula) (hne : F.clauses ≠ [])
(δ : ℝ) (hgap : ∀ bob : BobStrategy F,
δ * F.clauses.length ≤ (failureCount F bob (allIndices F) : ℝ)) :
(baseGame F hne).value ≤ 1 - δ / 3 := by
apply (Game.value_le_iff _ _).mpr
intro strategy
have hbase := base_success_le_verifier F hne strategy
have hprob := verifier_probability_plus_failure F hne strategy.2 strategy.1
have hm : (0 : ℝ) < F.clauses.length :=
Nat.cast_pos.mpr (List.length_pos_iff.mpr hne)
have hg : δ / 3 ≤ (failureCount F strategy.1 (allIndices F) : ℝ) /
(3 * F.clauses.length : ℕ) := by
have hden : (0 : ℝ) < (3 * F.clauses.length : ℕ) := by
exact_mod_cast Nat.mul_pos (by decide : 0 < 3) (List.length_pos_iff.mpr hne)
apply (le_div_iff₀ hden).mpr
calc
δ / 3 * (3 * F.clauses.length : ℕ) = δ * F.clauses.length := by push_cast; ring
_ ≤ _ := hgap strategy.1
linarith
theorem pushforward_comp {X Y Z : Type*} [Fintype X] [Fintype Y] [Fintype Z]
(μ : FiniteDistribution X) (f : X → Y) (g : Y → Z) :
(μ.pushforward f).pushforward g = μ.pushforward (g ∘ f) := by
classical
apply FiniteDistribution.eq_of_weight_eq
intro z
simp only [FiniteDistribution.pushforward]
calc
_ = ∑ y : Y, ∑ x : X, if f x = y then
(if g y = z then μ.weight x else 0) else 0 := by
apply Finset.sum_congr rfl
intro y _
by_cases h : g y = z <;> simp [h]
_ = _ := by rw [Finset.sum_comm]; simp
theorem expectation_pushforward {X Y : Type*} [Fintype X] [Fintype Y]
(μ : FiniteDistribution X) (f : X → Y) (H : Y → ℝ) :
(μ.pushforward f).expectation H = μ.expectation (H ∘ f) := by
classical
simp only [FiniteDistribution.expectation, FiniteDistribution.pushforward,
Finset.sum_mul]
rw [Finset.sum_comm]
apply Finset.sum_congr rfl
intro x _
simp [ite_mul]
def repeatedVisible (F : Formula) (u : ℕ) (events : Fin u → RandomEvent F) :
VariableContext F u × ClauseContext F u :=
(fun t => nameAt (clauseAt F (events t).1) (events t).2,
fun t => (events t).1)
theorem repeated_questions (F : Formula) (hne : F.clauses ≠ []) (u : ℕ) :
((baseGame F hne).repetition u).questions =
((eventLaw F hne).iid u).pushforward (repeatedVisible F u) := by
change (((eventLaw F hne).pushforward (visibleQuestion F)).iid u).transport
(Game.tupleQuestionEquiv u) = _
rw [FiniteDistribution.iid_pushforward, ← FiniteDistribution.pushforward_equiv,
pushforward_comp]
rfl
theorem repeated_expectation (F : Formula) (hne : F.clauses ≠ []) (u : ℕ)
(H : VariableContext F u × ClauseContext F u → ℝ) :
((baseGame F hne).repetition u).questions.expectation H =
𝔼 events : Fin u → RandomEvent F, H (repeatedVisible F u events) := by
let : Nonempty (RandomEvent F) := event_nonempty F hne
rw [repeated_questions, expectation_pushforward]
change ((FiniteDistribution.uniform (RandomEvent F)).iid u).expectation _ = _
rw [FiniteDistribution.iid_uniform, FiniteDistribution.expectation_uniform,
Fintype.expect_eq_sum_div_card]
rfl
theorem repeated_expectation_split (F : Formula) (hne : F.clauses ≠ []) (u : ℕ)
(H : VariableContext F u × ClauseContext F u → ℝ) :
((baseGame F hne).repetition u).questions.expectation H =
𝔼 c : ClauseContext F u, 𝔼 s : SlotContext u,
H (sampledVariables F c s, c) := by
rw [repeated_expectation]
calc
_ = 𝔼 p : ClauseContext F u × SlotContext u,
H (sampledVariables F p.1 p.2, p.1) :=
Fintype.expect_equiv
(Game.tupleQuestionEquiv (Q₁ := Fin F.clauses.length) (Q₂ := Slot) u)
_ _ (fun _ => rfl)
_ = _ := SourceTape.expect_prod _
def sourceProjectionGame (F : Formula) (hne : F.clauses ≠ []) (u : ℕ) :
Game (VariableContext F u) (ClauseContext F u) (I u) (J u) :=
projectionGame ((baseGame F hne).repetition u).questions
(fun v c => pi F c v) (validJ F)
theorem projection_value_le_repetition (F : Formula) (hne : F.clauses ≠ [])
(u : ℕ) :
(sourceProjectionGame F hne u).value ≤ ((baseGame F hne).repetition u).value := by
apply (Game.value_le_iff _ _).mpr
intro strategy
have h : (sourceProjectionGame F hne u).success strategy ≤
((baseGame F hne).repetition u).success strategy := by
apply FiniteDistribution.probability_mono
intro q hq
have hlegal : pi F q.2 q.1 (strategy.2 q.2) = strategy.1 q.1 ∧
validJ F q.2 (strategy.2 q.2) = true := by
simpa only [Game.wins, sourceProjectionGame, projectionGame,
decide_eq_true_eq] using hq
apply (Game.repetition_accepts_iff _ _ _ _ _ _).mpr
intro t
exact projection_implies_coordinate_accepts F q.2 q.1
(strategy.1 q.1) (strategy.2 q.2) hlegal.2 hlegal.1 t
exact h.trans (Game.success_le_value _ strategy)
theorem source_acceptance_le (F : Formula) (hne : F.clauses ≠ []) (u : ℕ)
(ε δ : ℝ) (i₀ : VariableContext F u → I u)
(tableA : ∀ v, HalfCube (i₀ v) → Bool)
(right : ∀ c : ClauseContext F u, ConditionedOracle (validJ F c))
(hε : 0 < ε) (hε' : ε ≤ 1 / 2) (hδ : 0 ≤ δ)
(hvalue : ((baseGame F hne).repetition u).value ≤ 4 * ε * δ ^ 2) :
(𝔼 events : Fin u → RandomEvent F,
questionAcceptance ε (fun v c => pi F c v)
(fun v => foldedAnswer (i₀ v) (tableA v)) (fun c => (right c).answer)
(repeatedVisible F u events)) ≤ (1 + δ) / 2 := by
rw [← repeated_expectation F hne u]
exact conditionedOracle_acceptance_bound _ ε δ _ (validJ F) i₀ tableA
(fun _ => default) right hε hε' hδ
((projection_value_le_repetition F hne u).trans hvalue)
theorem source_acceptance_le_split (F : Formula) (hne : F.clauses ≠ []) (u : ℕ)
(ε δ : ℝ) (i₀ : VariableContext F u → I u)
(tableA : ∀ v, HalfCube (i₀ v) → Bool)
(right : ∀ c : ClauseContext F u, ConditionedOracle (validJ F c))
(hε : 0 < ε) (hε' : ε ≤ 1 / 2) (hδ : 0 ≤ δ)
(hvalue : ((baseGame F hne).repetition u).value ≤ 4 * ε * δ ^ 2) :
(𝔼 c : ClauseContext F u, 𝔼 s : SlotContext u,
testAcceptance ε (pi F c (sampledVariables F c s))
(foldedAnswer (i₀ (sampledVariables F c s)) (tableA (sampledVariables F c s)))
(right c).answer) ≤ (1 + δ) / 2 := by
have h := conditionedOracle_acceptance_bound
((baseGame F hne).repetition u).questions ε δ (fun v c => pi F c v)
(validJ F) i₀ tableA (fun _ => default) right hε hε' hδ
((projection_value_le_repetition F hne u).trans hvalue)
rw [repeated_expectation_split] at h
exact h
end BinPackingGames.Foundations.Hastad.SourceGame
namespace BinPackingGames.Foundations.Hastad.SourceHonest
open BinPackingGames.Reduction.CloneGap
open BinPackingGames.Reduction.FiniteNoise
open scoped BigOperators
def taggedAssignment {V C I J : Type} (left : V → I) (right : C → J) :
(V × Cube I) ⊕ ((C × Cube J) ⊕ Unit) → Bool
| .inl (v, f) => f (left v)
| .inr (.inl (c, g)) => g (right c)
| .inr (.inr _) => false
@[simp] theorem taggedAssignment_left {V C I J : Type}
(left : V → I) (right : C → J) (v : V) (f : Cube I) :
taggedAssignment left right (.inl (v, f)) = f (left v) := rfl
@[simp] theorem taggedAssignment_right {V C I J : Type}
(left : V → I) (right : C → J) (c : C) (g : Cube J) :
taggedAssignment left right (.inr (.inl (c, g))) = g (right c) := rfl
theorem taggedAssignment_right_restriction {V C I J : Type}
(left : V → I) (right : C → J) (c : C) (valid : J → Bool)
(honest : {j : J // valid j = true}) (hright : right c = honest.val)
(extend : Cube {j : J // valid j = true} → Cube J)
(hextend : ∀ (g : Cube {j : J // valid j = true})
(j : {j : J // valid j = true}), extend g j.val = g j)
(j₀ : {j : J // valid j = true}) (h : HalfCube j₀) :
taggedAssignment left right (.inr (.inl (c, extend h.val))) = h.val honest := by
change extend h.val (right c) = h.val honest
rw [hright]
exact hextend h.val honest
section Local
variable {I J : Type}
theorem conditioned_equation_honest_satisfied
(valid : J → Bool) (π : J → I) (i₀ i : I)
(j₀ j : {j : J // valid j = true}) (hπ : π j.val = i)
(f : Cube I) (g μ : Cube J) :
satisfied (FoldedEquation.conditionedEquation valid π i₀ j₀ f g μ)
(FoldedEquation.storedAssignment (fun h => h.val i) (fun h => h.val j)) =
!(μ j.val) := by
rw [FoldedEquation.conditionedEquation_satisfied, foldedAnswer_dictator,
conditionedFoldedAnswer_dictator, conditionedFoldedAnswer_dictator,
dictator_test_parity π i j.val hπ]
theorem mapped_conditioned_equation_honest_satisfied {Name : Type}
(valid : J → Bool) (π : J → I) (i₀ i : I)
(j₀ j : {j : J // valid j = true}) (hπ : π j.val = i)
(rename : FoldedEquation.Address i₀ j₀ → Name) (assignment : Name → Bool)
(hleft : ∀ h, assignment (rename (.inl h)) = h.val i)
(hright : ∀ h, assignment (rename (.inr h)) = h.val j)
(f : Cube I) (g μ : Cube J) :
satisfied (mapEquation rename
(FoldedEquation.conditionedEquation valid π i₀ j₀ f g μ)) assignment =
!(μ j.val) := by
have hlocal : assignment ∘ rename =
FoldedEquation.storedAssignment (fun h => h.val i) (fun h => h.val j) := by
funext a
cases a with
| inl h => exact hleft h
| inr h => exact hright h
rw [satisfied_mapEquation, hlocal]
exact conditioned_equation_honest_satisfied valid π i₀ i j₀ j hπ f g μ
variable [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
theorem tapeAcceptance_conditioned_dictators {D : ℕ} (positive : 0 < D)
(valid : J → Bool) (π : J → I) (i₀ i : I)
(j₀ j : {j : J // valid j = true}) (hπ : π j.val = i) :
SourceTape.tapeAcceptance D π
(foldedAnswer i₀ (fun h => h.val i))
(conditionedFoldedAnswer valid j₀ (fun h => h.val j)) =
1 - (D : ℝ)⁻¹ := by
rw [SourceTape.tapeAcceptance_eq_realizedTestAcceptance]
exact realizedTestAcceptance_folded_conditioned_dictators positive π i₀ i valid j₀ j hπ
end Local
section NumberedStorage
open SourceOccurrences
variable {V C I J : Type}
theorem numbered_assignment_restriction
(vE : Encoding V) (cE : Encoding C) (iE : Encoding I) (jE : Encoding J)
(left : V → I) (right : C → J) (v : V) (c : C)
(valid : J → Bool) (i₀ : I) (j₀ j : {j : J // valid j = true})
(hright : right c = j.val) :
assignmentOfKey vE cE iE jE (taggedAssignment left right) ∘
localAddress vE cE iE jE v c valid i₀ j₀ =
FoldedEquation.storedAssignment (fun h => h.val (left v)) (fun h => h.val j) := by
funext a
cases a with
| inl h =>
simp only [Function.comp_apply, localAddress, assignmentOfKey_code,
taggedAssignment_left, FoldedEquation.storedAssignment, Sum.elim_inl]
| inr h =>
simp only [Function.comp_apply, localAddress, assignmentOfKey_code,
taggedAssignment_right, hright, extendRestricted_valid,
FoldedEquation.storedAssignment, Sum.elim_inr]
theorem conditionedOccurrence_honest_satisfied
(vE : Encoding V) (cE : Encoding C) (iE : Encoding I) (jE : Encoding J)
(left : V → I) (right : C → J) (v : V) (c : C)
(valid : J → Bool) (π : J → I) (i₀ : I)
(j₀ j : {j : J // valid j = true})
(hright : right c = j.val) (hπ : π j.val = left v)
(f : Cube I) (g μ : Cube J) :
satisfied (conditionedOccurrence vE cE iE jE v c valid π i₀ j₀ f g μ)
(assignmentOfKey vE cE iE jE (taggedAssignment left right)) = !(μ j.val) := by
rw [conditionedOccurrence, satisfied_mapEquation,
numbered_assignment_restriction vE cE iE jE left right v c valid i₀ j₀ j hright]
exact conditioned_equation_honest_satisfied valid π i₀ (left v) j₀ j hπ f g μ
variable [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
theorem conditionedOccurrenceList_honest_acceptance {D : ℕ} (positive : 0 < D)
(vE : Encoding V) (cE : Encoding C) (iE : Encoding I) (jE : Encoding J)
(left : V → I) (right : C → J) (v : V) (c : C)
(valid : J → Bool) (π : J → I) (i₀ : I)
(j₀ j : {j : J // valid j = true})
(hright : right c = j.val) (hπ : π j.val = left v)
(tape : Encoding (SourceTape.TestTape I J D)) :
let equations := occurrenceList tape (fun t =>
conditionedOccurrence vE cE iE jE v c valid π i₀ j₀
t.1 t.2.2 (realizedNoise t.2.1))
((equations.countP (fun e => satisfied e
(assignmentOfKey vE cE iE jE (taggedAssignment left right)))) : ℝ) /
equations.length = 1 - (D : ℝ)⁻¹ := by
dsimp only
rw [occurrenceList_acceptance]
calc
_ = SourceTape.tapeAcceptance D π (fun f => f (left v)) (fun g => g j.val) := by
unfold SourceTape.tapeAcceptance
apply Finset.expect_congr rfl
intro t _
rw [conditionedOccurrence_honest_satisfied vE cE iE jE left right v c
valid π i₀ j₀ j hright hπ, dictator_test_parity π (left v) j.val hπ]
cases realizedNoise t.2.1 j.val <;> rfl
_ = _ := by
rw [SourceTape.tapeAcceptance_eq_realizedTestAcceptance]
exact realizedTestAcceptance_dictator positive π (left v) j.val hπ
end NumberedStorage
open SourceContexts
open SourceOccurrences
def honestGlobal (F : Target.Formula) (u : ℕ)
(assignment : Fin F.variables → Bool) :
(VariableContext F u × Cube (I u)) ⊕
((ClauseContext F u × Cube (J u)) ⊕ Unit) → Bool :=
taggedAssignment (fun v => honestI F v assignment) (fun c => honestJ F c assignment)
def honestBits (F : Target.Formula) (u : ℕ)
(assignment : Fin F.variables → Bool) : Fin (nBits F u) → Bool :=
assignmentOfKey (variableEncoding F u) (clauseEncoding F u) (iEncoding u)
(jEncoding u) (honestGlobal F u assignment)
@[simp] theorem honestBits_code (F : Target.Formula) (u : ℕ)
(assignment : Fin F.variables → Bool)
(key : GlobalKey (VariableContext F u) (ClauseContext F u) (I u) (J u)) :
honestBits F u assignment ((proofEncoding F u).code key) =
honestGlobal F u assignment key :=
assignmentOfKey_code (variableEncoding F u) (clauseEncoding F u)
(iEncoding u) (jEncoding u) (honestGlobal F u assignment) key
@[simp] theorem honestBits_dummy (F : Target.Formula) (u : ℕ)
(assignment : Fin F.variables → Bool) :
honestBits F u assignment (dummyIndex F u) = false := by
rw [dummyIndex, honestBits_code]
rfl
def honestValidJ (F : Target.Formula) {u : ℕ} (c : ClauseContext F u)
(assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true) :
{j : J u // validJ F c j = true} :=
⟨honestJ F c assignment, honestJ_valid F c assignment hs⟩
theorem validJ_nonempty_of_satisfying (F : Target.Formula) {u : ℕ}
(c : ClauseContext F u) (assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true) :
Nonempty {j : J u // validJ F c j = true} :=
⟨honestValidJ F c assignment hs⟩
theorem leftResponse_honest (F : Target.Formula) (u : ℕ)
(assignment : Fin F.variables → Bool) (v : VariableContext F u) :
leftResponse F u (honestBits F u assignment) v =
fun f => f (honestI F v assignment) := by
funext f
simp only [leftResponse, honestBits_code, honestGlobal, taggedAssignment,
foldedAnswer_dictator]
theorem rightResponse_honest (F : Target.Formula) (u : ℕ)
(assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true)
(c : ClauseContext F u) :
rightResponse F u (honestBits F u assignment) c =
fun g => g (honestJ F c assignment) := by
funext g
cases ha : rightAnchor F c with
| none =>
have hf := (rightAnchor_none_iff F c).mp ha (honestJ F c assignment)
rw [honestJ_valid F c assignment hs] at hf
cases hf
| some j₀ =>
simp only [rightResponse, ha, honestBits_code, honestGlobal, taggedAssignment]
have ht : (fun h : HalfCube j₀ =>
extendRestricted (validJ F c) h.val (honestJ F c assignment)) =
fun h => h.val (honestValidJ F c assignment hs) := by
funext h
exact extendRestricted_valid (validJ F c) h.val (honestValidJ F c assignment hs)
rw [ht]
exact conditionedFoldedAnswer_dictator (validJ F c) j₀
(honestValidJ F c assignment hs) g
theorem context_tapeAcceptance {D : ℕ} (positive : 0 < D)
(F : Target.Formula) {u : ℕ} (c : ClauseContext F u) (s : SlotContext u)
(assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true)
(i₀ : I u) (j₀ : {j : J u // validJ F c j = true}) :
SourceTape.tapeAcceptance D (pi F c (sampledVariables F c s))
(foldedAnswer i₀ (fun h => h.val (honestI F (sampledVariables F c s) assignment)))
(conditionedFoldedAnswer (validJ F c) j₀
(fun h => h.val (honestValidJ F c assignment hs))) =
1 - (D : ℝ)⁻¹ := by
exact tapeAcceptance_conditioned_dictators positive (validJ F c)
(pi F c (sampledVariables F c s)) i₀ _ j₀ _
(pi_honest_sampled F c s assignment)
theorem sourceEquation_honest_satisfied (F : Target.Formula) (u D : ℕ)
(assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true)
(p : SourceIndex F u D) :
satisfied (sourceEquation F u D p) (honestBits F u assignment) =
!(realizedNoise p.2.2.1 (honestJ F p.1.1 assignment)) := by
simp only [sourceEquation, contextEquation_satisfied, leftResponse_honest,
rightResponse_honest F u assignment hs]
rw [dictator_test_parity _ _ _ (pi_honest_sampled F p.1.1 p.1.2 assignment)]
theorem rawSourceList_honest_acceptance (F : Target.Formula) (u D : ℕ)
(hD : 0 < D) (hF : F.clauses ≠ [])
(assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true) :
((rawSourceList F u D).countP
(fun e => satisfied e (honestBits F u assignment)) : ℝ) /
(rawSourceList F u D).length = 1 - (D : ℝ)⁻¹ := by
have hc : 0 < F.clauses.length := List.length_pos_iff.mpr hF
let : Nonempty (Fin F.clauses.length) := ⟨⟨0, hc⟩⟩
rw [rawSourceList_acceptance F u D hD]
have heq (c : ClauseContext F u) (s : SlotContext u) :
testAcceptance ((D : ℝ)⁻¹) (pi F c (sampledVariables F c s))
(leftResponse F u (honestBits F u assignment) (sampledVariables F c s))
(rightResponse F u (honestBits F u assignment) c) = 1 - (D : ℝ)⁻¹ := by
rw [leftResponse_honest, rightResponse_honest F u assignment hs]
exact testAcceptance_dictator _ _ _ _ (pi_honest_sampled F c s assignment)
simp_rw [heq]
simp only [Fintype.expect_const]
theorem sourceList_honest_acceptance_nonempty (F : Target.Formula) (u D : ℕ)
(hD : 0 < D) (hF : F.clauses ≠ [])
(assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true) :
((sourceList F u D).countP
(fun e => satisfied e (honestBits F u assignment)) : ℝ) /
(sourceList F u D).length = 1 - (D : ℝ)⁻¹ := by
rw [sourceList_nonempty F u D hF]
exact rawSourceList_honest_acceptance F u D hD hF assignment hs
theorem sourceList_honest_acceptance (F : Target.Formula) (u D : ℕ)
(hD : 0 < D) (assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true) :
1 - (D : ℝ)⁻¹ ≤ ((sourceList F u D).countP
(fun e => satisfied e (honestBits F u assignment)) : ℝ) /
(sourceList F u D).length := by
by_cases hF : F.clauses = []
· rw [sourceList_empty F u D hF]
simp only [List.countP_cons, List.countP_nil, emptyFormulaEquation_satisfied,
honestBits_dummy, Bool.not_false, ↓reduceIte,
Nat.zero_add, Nat.cast_one, List.length_cons, List.length_nil, div_one]
exact sub_le_self _ (inv_nonneg.mpr (Nat.cast_nonneg D))
· exact (sourceList_honest_acceptance_nonempty F u D hD hF assignment hs).ge
theorem sourceList_honest_acceptance_rat (F : Target.Formula) (u D : ℕ)
(hD : 0 < D) (assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true) :
1 - (D : ℚ)⁻¹ ≤ ((sourceList F u D).countP
(fun e => satisfied e (honestBits F u assignment)) : ℚ) /
(sourceList F u D).length := by
apply (Rat.cast_le (K := ℝ)).mp
simpa only [Rat.cast_sub, Rat.cast_one, Rat.cast_inv, Rat.cast_natCast, Rat.cast_div] using
sourceList_honest_acceptance F u D hD assignment hs
theorem sourceList_honest_acceptance_nonempty_rat (F : Target.Formula) (u D : ℕ)
(hD : 0 < D) (hF : F.clauses ≠ [])
(assignment : Fin F.variables → Bool)
(hs : ∀ clause ∈ F.clauses, clause.eval assignment = true) :
((sourceList F u D).countP
(fun e => satisfied e (honestBits F u assignment)) : ℚ) /
(sourceList F u D).length = 1 - (D : ℚ)⁻¹ := by
apply Rat.cast_injective (α := ℝ)
simpa only [Rat.cast_sub, Rat.cast_one, Rat.cast_inv, Rat.cast_natCast, Rat.cast_div] using
sourceList_honest_acceptance_nonempty F u D hD hF assignment hs
end BinPackingGames.Foundations.Hastad.SourceHonest
end
end OAI