openAI-math-dataset / lean /OAI /Computability /PerfectCompleteness /Algebra /RightDecoderAffineSuccess.lean
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| import OAI.Computability.PerfectCompleteness.Decoding.RightDecoderLemmas | |
| import OAI.Computability.PerfectCompleteness.Decoding.RightDecoderWitness | |
| import OAI.Computability.PerfectCompleteness.Foundations.OutputAnnihilator | |
| namespace OAI | |
| section | |
| namespace PerfectCompleteness.RightDecoderAffineSuccess | |
| open scoped TensorProduct Classical | |
| open UniqueGamesTheorem.Foundations.Games | |
| open TreeSourceSpaces HierarchicalArrays OwnInputReference | |
| abbrev F2 := ZMod 2 | |
| noncomputable section | |
| variable {branch : Nat → Nat} {n t : Nat} | |
| (slots : RecursiveSpaces.Slots branch n → Fin t → MixedSupport.Slot) | |
| (rows : Nat → Nat) (upper lower : Nodes branch n) | |
| (W : Submodule F2 (UpperVector rows upper)) (a : LowerVector rows lower) | |
| (repeats : Nat → Nat) (cut : Cut upper lower) | |
| (labeling : KeyStrategy.Strategy (TreeCanonical.locationCount branch n t)) | |
| (input : Input slots rows upper lower W a) | |
| attribute [local instance] RightDecoder.characterFintype RightDecoder.scalarFintype | |
| theorem character_count : | |
| Fintype.card (Module.Dual F2 (UpperVector rows upper)) = | |
| 2 ^ rows (Nodes.height upper) := by | |
| simpa only [OwnInputReference.UpperVector, HierarchicalArrays.Block, | |
| Module.finrank_fin_fun] using | |
| (OutputAnnihilator.card_dual (K := UpperVector rows upper)) | |
| theorem coset_probability_lower | |
| (ρ h₀ : ℝ) (hρ : 0 < ρ) (hh₀ : 0 < h₀) | |
| (hrep : RecursiveSamplerBias.RepetitionsBalanced repeats) | |
| (hslice : (7 / 8 : ℝ) ^ repeats (Nodes.height upper) ≤ h₀ / 2) | |
| (hlist : (7 / 8 : ℝ) ^ repeats (Nodes.height upper) ≤ (ρ * h₀ / 4) ^ 2 / 2) | |
| (hexcluded : 1 / (2 : ℝ) ^ Module.finrank F2 W < ρ / 8) | |
| (Q : Submodule F2 (Module.Dual F2 (UpperSpace slots upper))) | |
| (hsize : h₀ ≤ 1 / (2 : ℝ) ^ Module.finrank F2 (Q →ₗ[F2] W)) | |
| (target : Q →ₗ[F2] W) (z : Module.Dual F2 (UpperSpace slots upper)) | |
| (offset : UpperVector rows upper) | |
| (hmatch : ρ ≤ RightDecoderWitness.conditionalMatch slots rows upper lower W a | |
| repeats cut labeling input Q target z offset) : | |
| (ρ * h₀ / 4) ^ 2 / (2 * (2 : ℝ) ^ rows (Nodes.height upper)) ≤ | |
| (RightDecoder.law slots rows upper lower W a repeats cut labeling input (ρ * h₀ / 4)).probability | |
| (fun decoded => decide (decoded - z ∈ Q)) := by | |
| have hthreshold : 0 < ρ * h₀ / 4 := div_pos (mul_pos hρ hh₀) (by norm_num) | |
| obtain ⟨σ, hσ, Φ, hΦ, herror⟩ := | |
| RightDecoderWitness.exists_heavy_error_coset slots rows upper lower W a | |
| repeats cut labeling input ρ h₀ hρ hh₀ hrep hslice hexcluded Q hsize target z offset hmatch | |
| have h := RightDecoder.coset_lower_of_balanced slots rows upper lower W a | |
| repeats cut labeling input (ρ * h₀ / 4) hrep hthreshold hlist Q z | |
| ⟨σ, Φ, hΦ, hσ, herror⟩ | |
| simpa only [character_count rows upper, Nat.cast_pow, Nat.cast_ofNat] using h | |
| theorem coset_probability_pos | |
| (ρ h₀ : ℝ) (hρ : 0 < ρ) (hh₀ : 0 < h₀) | |
| (hrep : RecursiveSamplerBias.RepetitionsBalanced repeats) | |
| (hslice : (7 / 8 : ℝ) ^ repeats (Nodes.height upper) ≤ h₀ / 2) | |
| (hlist : (7 / 8 : ℝ) ^ repeats (Nodes.height upper) ≤ (ρ * h₀ / 4) ^ 2 / 2) | |
| (hexcluded : 1 / (2 : ℝ) ^ Module.finrank F2 W < ρ / 8) | |
| (Q : Submodule F2 (Module.Dual F2 (UpperSpace slots upper))) | |
| (hsize : h₀ ≤ 1 / (2 : ℝ) ^ Module.finrank F2 (Q →ₗ[F2] W)) | |
| (target : Q →ₗ[F2] W) (z : Module.Dual F2 (UpperSpace slots upper)) | |
| (offset : UpperVector rows upper) | |
| (hmatch : ρ ≤ RightDecoderWitness.conditionalMatch slots rows upper lower W a | |
| repeats cut labeling input Q target z offset) : | |
| 0 < (RightDecoder.law slots rows upper lower W a repeats cut labeling input (ρ * h₀ / 4)).probability | |
| (fun decoded => decide (decoded - z ∈ Q)) := by | |
| have hthreshold : 0 < ρ * h₀ / 4 := div_pos (mul_pos hρ hh₀) (by norm_num) | |
| have hfactor : 0 < (ρ * h₀ / 4) ^ 2 / (2 * (2 : ℝ) ^ rows (Nodes.height upper)) := | |
| div_pos (pow_pos hthreshold _) (mul_pos (by norm_num) (pow_pos (by norm_num) _)) | |
| exact hfactor.trans_le (coset_probability_lower slots rows upper lower W a repeats cut | |
| labeling input ρ h₀ hρ hh₀ hrep hslice hlist hexcluded Q hsize target z offset hmatch) | |
| end | |
| end PerfectCompleteness.RightDecoderAffineSuccess | |
| end | |
| end OAI | |