Download lean/OAI/NumberTheory/TwoPoint/Bounds/ActiveStateComparison.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.92 kB
| import OAI.NumberTheory.TwoPoint.Bounds.ActiveStateVectors | |
| import OAI.NumberTheory.TwoPoint.Bounds.EventualResidueComparison | |
| namespace OAI | |
| /-! Arbitrary functions of the bounded active sets at the trace vertices | |
| are compared at every finite interval, using their exact state expansion. -/ | |
| namespace TwoPointCorrelations | |
| open Finset Filter | |
| theorem BravermanDepth22Input.eventually_active_state_comparison (hBr : BravermanDepth22Input) : | |
| ∃ A : ℕ, 1000 ≤ A ∧ ∀ᶠ L : ℝ in atTop, | |
| ∀ (m : ℕ) (s : Fin m → ℕ) [∀ i, NeZero (s i)], | |
| 0 < m → (m : ℝ) ≤ Real.exp L + 1 → | |
| Pairwise (fun i j => (s i).Coprime (s j)) → | |
| (∀ i, (s i : ℝ) ≤ Real.exp L) → | |
| ∀ (R n Ninput M : ℕ), (n : ℝ) ≤ Real.exp L → | |
| (M : ℝ) ≤ 400 * Real.log L → (R : ℝ) ≤ 4 * L → | |
| ∀ (coord : Fin Ninput → Fin m) | |
| (test : ∀ i, ZMod (s (coord i)) → Bool) | |
| (index : Fin R → Fin n → Fin Ninput) | |
| (f : (Fin R → Finset (Fin n)) → ℝ), | |
| (∀ b : Fin R → boundedActiveStates n M, | |
| |f (fun r => (b r).val)| ≤ Real.exp (L ^ 4)) → | |
| ∀ a N : ℕ, Real.exp (L ^ A / 2) ≤ (N : ℝ) → | |
| let F := fun z : ∀ j, ZMod (s j) => | |
| let bits := residueCircuitInputs s coord test z | |
| if ∀ r, (activeState (fun i => bits (index r i))).card ≤ M | |
| then f (fun r => activeState (fun i => bits (index r i))) else 0 | |
| |uniformAverage (fun x : Fin N => F (fun j => (a + x.val : ZMod (s j)))) - | |
| uniformAverage F| ≤ Real.exp (-(L ^ 9)) := by | |
| obtain ⟨A, hA, hscalar⟩ := hBr.eventually_scalar_residue_comparison 1 (by norm_num) | |
| refine ⟨A, hA, ?_⟩ | |
| filter_upwards [hscalar, eventually_ge_atTop (4800 : ℝ)] with L hscalar hL | |
| intro m s _ hm hmexp hcop hs R n Ninput M hn hM hR coord test index f hf a N hN | |
| let c := fun b : Fin R → boundedActiveStates n M => | |
| activeStateVectorCircuit index (fun r => (b r).val) | |
| let coeff := fun b : Fin R → boundedActiveStates n M => f (fun r => (b r).val) | |
| have hb := hscalar m s hm hmexp hcop hs _ Ninput coord test c coeff | |
| (fun b => (activeStateVectorCircuit_depth index _).trans (by norm_num)) | |
| (fun b => activeStateVector_size_budget L index _ (by linarith) hn hR) | |
| (by simpa only [one_mul] using activeStateVector_coefficient_budget L f hL hn hM hR hf) | |
| a N hN | |
| have hexpand (z : ∀ j, ZMod (s j)) : | |
| (if ∀ r, (activeState (fun i => residueCircuitInputs s coord test z (index r i))).card ≤ M | |
| then f (fun r => activeState (fun i => residueCircuitInputs s coord test z (index r i))) else 0) = | |
| ∑ b : Fin R → boundedActiveStates n M, coeff b * | |
| eventIndicator (residueCircuitEvent s coord test (c b)) z := | |
| activeStateVector_scalar_expansion M index f (residueCircuitInputs s coord test z) | |
| dsimp only | |
| simpa only [← hexpand] using hb | |
| end TwoPointCorrelations | |
| end OAI | |