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Add lean source and binary files (part 62)
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import Mathlib.Data.Fintype.Prod
import Mathlib.Logic.Equiv.Fintype
import Mathlib.Logic.Equiv.Sum
import OAI.Computability.PerfectCompleteness.Algebra.MatrixInverseConstantsLemmas
import OAI.Computability.PerfectCompleteness.Machines.FixedUnaryRepresentationMachine
import OAI.Computability.UniqueGames.Machines.MachineCloudPadding
namespace OAI
namespace PerfectCompleteness.Completion
variable {L A B : Type*}
def fiberEquivTwo (e : A ≃ B × Fin 2) (b : B) :
{a : A // (e a).1 = b} ≃ Fin 2 where
toFun a := (e a.val).2
invFun j := ⟨e.symm (b, j), by simp⟩
left_inv a := by
apply Subtype.ext
apply e.injective
simp only [Equiv.apply_symm_apply]
exact Prod.ext a.property.symm rfl
right_inv j := by simp
theorem exists_slot_embedding [Fintype L] [Fintype B] [DecidableEq B]
(p : L → B) (hsmall : ∀ b, Fintype.card {l : L // p l = b} ≤ 2) :
∃ slots : L ↪ B × Fin 2, ∀ l, (slots l).1 = p l := by
classical
have hslots (b : B) : Nonempty ({l : L // p l = b} ↪ Fin 2) :=
Function.Embedding.nonempty_of_card_le (by simpa using hsmall b)
let fiberSlots (b : B) : {l : L // p l = b} ↪ Fin 2 :=
Classical.choice (hslots b)
let fiberMap : (Σ b : B, {l : L // p l = b}) ↪ Σ _ : B, Fin 2 :=
Function.Embedding.sigmaMap (Function.Embedding.refl B) fiberSlots
let slots : L ↪ B × Fin 2 :=
(Equiv.sigmaFiberEquiv p).symm.toEmbedding.trans
(fiberMap.trans (Equiv.sigmaEquivProd B (Fin 2)).toEmbedding)
exact ⟨slots, fun _ => rfl⟩
theorem exists_exact_two_completion [Fintype L] [Fintype A] [Fintype B]
[DecidableEq B] (legal : L ↪ A) (p : L → B)
(hsmall : ∀ b, Fintype.card {l : L // p l = b} ≤ 2)
(hcard : Fintype.card A = 2 * Fintype.card B) :
∃ pHat : A → B,
(∀ l, pHat (legal l) = p l) ∧
∀ b, Fintype.card {a : A // pHat a = b} = 2 := by
classical
obtain ⟨slots, hslots⟩ := exists_slot_embedding p hsmall
have hcardSlots : Fintype.card A = Fintype.card (B × Fin 2) := by
rw [Fintype.card_prod, Fintype.card_fin, Nat.mul_comm]
exact hcard
let base : A ≃ B × Fin 2 := Fintype.equivOfCardEq hcardSlots
obtain ⟨σ, hσ⟩ := Equiv.Perm.exists_extending_pair
(fun l : L => base (legal l)) (fun l : L => slots l)
(base.injective.comp legal.injective) slots.injective
let e : A ≃ B × Fin 2 := base.trans σ
refine ⟨fun a => (e a).1, ?_, ?_⟩
· intro l
change (σ (base (legal l))).1 = p l
rw [hσ l]
exact hslots l
· intro b
exact (Fintype.card_congr (fiberEquivTwo e b)).trans (Fintype.card_fin 2)
end PerfectCompleteness.Completion
namespace PerfectCompleteness.FixedUnaryRepresentationPlacement
open Turing UniqueGamesTheorem.Foundations.Complexity
open MachineComposition MachineCloudPadding
abbrev Mode := FixedUnaryRepresentationMachine.Mode
abbrev Tape (width : Nat) := FixedUnaryRepresentationMachine.Tape width
abbrev Label (mode : Mode) (width : Nat) :=
FixedUnaryRepresentationMachine.Label mode (List.finRange width)
abbrev CleanupLabel (width : Nat) := FixedUnaryRepresentationMachine.CleanupLabel width
abbrev State (A : Type) := A × Option Bool
abbrev Alphabet {K : Type} (_ : K) := Bool
variable {width : Nat} {K Λ A : Type}
def nativeProgram (mode : Mode) : Label mode width →
TM2.Stmt (Alphabet (K := Tape width)) (Label mode width) (State A) :=
FixedUnaryRepresentationMachine.instruction mode (List.finRange width) id none
def instruction (mode : Mode) (tape : Tape width → K)
(labels : Label mode width → Λ) (exit : Option Λ) :
Label mode width → TM2.Stmt (Alphabet (K := K)) Λ (State A) :=
fun label => Placement.statement tape labels exit (nativeProgram mode label)
def entry (mode : Mode) (labels : Label mode width → Λ) (exit : Option Λ) : Option Λ :=
Placement.label labels exit
(FixedUnaryRepresentationMachine.entry mode (List.finRange width) id none)
def tapes (view : K → Option (Tape width)) (extra : K → List Bool)
(mode : Mode) (values : Fin width → Nat) (destinations : Fin width → List Bool) :
K → List Bool :=
Placement.tapes view (FixedUnaryRepresentationMachine.stacks mode values destinations) extra
theorem tapes_eq_base (tape : Tape width → K) (view : K → Option (Tape width))
(right : ∀ j k, view j = some k → tape k = j) (base : K → List Bool)
(mode : Mode) (values : Fin width → Nat) (destinations : Fin width → List Bool)
(contents : ∀ k, base (tape k) =
FixedUnaryRepresentationMachine.stacks mode values destinations k) :
tapes view base mode values destinations = base := by
funext j
cases viewed : view j with
| none => simp only [tapes, Placement.tapes, viewed]
| some k =>
simp only [tapes, Placement.tapes, viewed]
rw [← right j k viewed]
exact (contents k).symm
def cleanupNativeProgram : CleanupLabel width →
TM2.Stmt (Alphabet (K := Tape width)) (CleanupLabel width) (State A) :=
FixedUnaryRepresentationMachine.cleanupInstruction id none
def cleanupInstruction (tape : Tape width → K)
(labels : CleanupLabel width → Λ) (exit : Option Λ) :
CleanupLabel width → TM2.Stmt (Alphabet (K := K)) Λ (State A) :=
fun label => Placement.statement tape labels exit (cleanupNativeProgram label)
def cleanupEntry (labels : CleanupLabel width → Λ) (exit : Option Λ) : Option Λ :=
Placement.label labels exit (FixedUnaryRepresentationMachine.cleanupEntry id none)
variable [DecidableEq K]
theorem familyTrace (mode : Mode) (tape : Tape width → K) (view : K → Option (Tape width))
(left : ∀ k, view (tape k) = some k)
(right : ∀ j k, view j = some k → tape k = j)
(labels : Label mode width → Λ) (exit : Option Λ)
(program : Λ → TM2.Stmt (Alphabet (K := K)) Λ (State A))
(atLabels : ∀ label, program (labels label) = instruction mode tape labels exit label)
(extra : K → List Bool) (values : Fin width → Nat)
(destinations : Fin width → List Bool) (ambient : A) :
(advance (TM2.step program))^[FixedUnaryRepresentationMachine.steps mode values (List.finRange width)]
(some ⟨entry mode labels exit, (ambient, none), tapes view extra mode values destinations⟩) =
some ⟨exit, (ambient, none), tapes view extra mode values
(fun position => FixedUnaryRepresentationMachine.targetWord mode (values position) ++
destinations position)⟩ := by
have native := FixedUnaryRepresentationMachine.familyTrace mode values id none
(nativeProgram (width := width) (A := A) mode) (fun _ => rfl) destinations ambient
have placed := Placement.trace tape view left right labels exit extra
(nativeProgram (width := width) (A := A) mode) program atLabels _ _ _ native
simpa only [Placement.configuration, Placement.label, entry, tapes] using placed
def familyInTime (mode : Mode) (tape : Tape width → K) (view : K → Option (Tape width))
(left : ∀ k, view (tape k) = some k)
(right : ∀ j k, view j = some k → tape k = j)
(labels : Label mode width → Λ) (exit : Option Λ)
(program : Λ → TM2.Stmt (Alphabet (K := K)) Λ (State A))
(atLabels : ∀ label, program (labels label) = instruction mode tape labels exit label)
(extra : K → List Bool) (values : Fin width → Nat)
(destinations : Fin width → List Bool) (ambient : A)
(maximum : Nat) (bounded : ∀ position, values position ≤ maximum) :
StateTransition.EvalsToInTime (TM2.step program)
⟨entry mode labels exit, (ambient, none), tapes view extra mode values destinations⟩
(some ⟨exit, (ambient, none), tapes view extra mode values
(fun position => FixedUnaryRepresentationMachine.targetWord mode (values position) ++
destinations position)⟩)
(width * (2 * maximum + 3)) where
steps := FixedUnaryRepresentationMachine.steps mode values (List.finRange width)
evals_in_steps := familyTrace mode tape view left right labels exit program atLabels extra
values destinations ambient
steps_le_m := by
simpa only [List.length_finRange] using
FixedUnaryRepresentationMachine.steps_le mode values (List.finRange width) maximum bounded
theorem cleanupTrace (mode : Mode) (tape : Tape width → K) (view : K → Option (Tape width))
(left : ∀ k, view (tape k) = some k)
(right : ∀ j k, view j = some k → tape k = j)
(labels : CleanupLabel width → Λ) (exit : Option Λ)
(program : Λ → TM2.Stmt (Alphabet (K := K)) Λ (State A))
(atLabels : ∀ label, program (labels label) = cleanupInstruction tape labels exit label)
(extra : K → List Bool) (values : Fin width → Nat)
(destinations : Fin width → List Bool) (ambient : A) :
(advance (TM2.step program))^[MachineDrainMany.steps
(FixedUnaryRepresentationMachine.cleanupTapes width)
(FixedUnaryRepresentationMachine.stacks mode values destinations)]
(some ⟨cleanupEntry labels exit, (ambient, none), tapes view extra mode values destinations⟩) =
some ⟨exit, (ambient, none), tapes view extra mode values (fun _ => [])⟩ := by
have native := FixedUnaryRepresentationMachine.cleanupTrace mode values id none
(cleanupNativeProgram (width := width) (A := A)) (fun _ => rfl) destinations ambient
have placed := Placement.trace tape view left right labels exit extra
(cleanupNativeProgram (width := width) (A := A)) program atLabels _ _ _ native
simpa only [Placement.configuration, Placement.label, cleanupEntry, tapes] using placed
end PerfectCompleteness.FixedUnaryRepresentationPlacement
namespace PerfectCompleteness.InitialParameters
open UniqueGamesTheorem.Appendix UniqueGamesTheorem.Fourier
noncomputable section
def epsilon (δ : ℚ) : ℝ := (δ : ℝ) / 3
def simultaneous (δ : ℚ) : ℝ := epsilon δ ^ 2 / 2
def useful (δ : ℚ) : ℝ := simultaneous δ / 2
def inverse (δ : ℚ) : ℝ := simultaneous δ ^ 2 / 32
theorem epsilon_pos {δ : ℚ} (hδ : 0 < δ) : 0 < epsilon δ := by
have : (0 : ℝ) < δ := by exact_mod_cast hδ
unfold epsilon
positivity
theorem simultaneous_pos {δ : ℚ} (hδ : 0 < δ) : 0 < simultaneous δ := by
have := epsilon_pos hδ
unfold simultaneous
positivity
theorem useful_pos {δ : ℚ} (hδ : 0 < δ) : 0 < useful δ := by
have := simultaneous_pos hδ
unfold useful
positivity
theorem inverse_pos {δ : ℚ} (hδ : 0 < δ) : 0 < inverse δ := by
have := simultaneous_pos hδ
unfold inverse
positivity
theorem epsilon_lt_one {δ : ℚ} (hδ : δ < 1) : epsilon δ < 1 := by
have : (δ : ℝ) < 1 := by exact_mod_cast hδ
unfold epsilon
linarith
theorem exists_initial {δ : ℚ} (hδ : 0 < δ) (hδ' : δ < 1) :
∃ depth r : Nat, 2 ≤ depth ∧ 4 ≤ (depth : ℝ) * epsilon δ ∧
1 ≤ r ∧ ∃ α : ℝ, 0 < α ∧ α < 1 ∧
MatrixLevelBridge.levelCutoffConstant r α + RankLevelFilter.node (r + 1) <
inverse δ / 2 := by
have hε := epsilon_pos hδ
have hε' := epsilon_lt_one hδ'
obtain ⟨depth, hdepth⟩ := exists_nat_gt (4 / epsilon δ + 2)
have hd2 : (2 : ℝ) < depth := by
have := div_pos (by norm_num : (0 : ℝ) < 4) hε
linarith
have hd : 2 ≤ depth := by exact_mod_cast hd2.le
have hmul : 4 ≤ (depth : ℝ) * epsilon δ := by
have hdiv : 4 / epsilon δ < (depth : ℝ) := by linarith
exact ((div_lt_iff₀ hε).mp hdiv).le
obtain ⟨r, hr, α, hα, hα', hcut⟩ :=
MatrixInverseConstants.exists_cutoff_density
(show 0 < inverse δ / 2 by have := inverse_pos hδ; positivity)
exact ⟨depth, r, hd, hmul, hr, α, hα, hα', hcut⟩
end
end PerfectCompleteness.InitialParameters
end OAI