The final reduction with a polylog factor and any threshold
ProvedNLogN.KFM.kappaBound_of_machine_polylogThe final reduction with a polylog factor and any threshold.
The following holds (Lean statement, in the scope of module Solutions.KFMGlue):
theorem NLogN.KFM.kappaBound_of_machine_polylog (M : IntMul.MultitapeTM)
(hcorr : ∀ n : ℕ, 1 ≤ n → ∃ T : ℝ, IntMul.MultipliesAt M n T)
(n₁ : ℕ) (C₀ : ℝ) (hC₀ : 0 ≤ C₀) (A : ℕ)
(htime : ∀ n, IntMul.OpenAI.Glue.n0 ≤ n → n₁ ≤ n → IntMul.MultipliesAt M n
(C₀ * (IntMul.OpenAI.Glue.VP n * Ncost (6 * (IntMul.lg n : ℝ)) (IntMul.OpenAI.Glue.dP n) (KP n) (ℓP n) (αP n) *
(Real.log (6 * (IntMul.lg n : ℝ)) + 1) ^ A + n))) :
IntMul.KappaBound (1 / 2 ^ 182)
Context. The lemma belongs to the part KFM 1: the final reduction with a raised threshold and a polylog slack factor.
Formalization Note. This lemma belongs to the item-language (IL) layer of the integer-multiplication-kappa campaign: tape-level programs (register programs over 64 item stacks of the NLogN multitape framework, definition bundles IntMul_HvdH_M_Defs1–IntMul_HvdH_M_Defs8) that implement the data-movement primitives of the OpenAI preprint Integer multiplication below (field moves, row split/merge, shifts, the uniform Proposition 11 interchange, Lemma 12 with fine -per-element costs, Gaussian record primitives, Proposition 14 pieces) with exact list denotations from the array-model bundles IntMul_Kappa_K_Defs* and explicit cost bounds. All names refer to the definition bundles up to IntMul_Kappa_K_Defs18.
-- OpenAI-preprint / κ-improvement development (integer-multiplication-kappa), generated by skeleton subtraction. import Definitions.Def_IntMul_Kappa_K_Defs18 set_option autoImplicit false set_option relaxedAutoImplicit false set_option maxHeartbeats 1000000 open NLogN open NLogN.KFM open IntMul.OpenAI.Glue IntMul.OpenAI.RCost
theorem NLogN.KFM.kappaBound_of_machine_polylog (M : IntMul.MultitapeTM)
(hcorr : ∀ n : ℕ, 1 ≤ n → ∃ T : ℝ, IntMul.MultipliesAt M n T)
(n₁ : ℕ) (C₀ : ℝ) (hC₀ : 0 ≤ C₀) (A : ℕ)
(htime : ∀ n, IntMul.OpenAI.Glue.n0 ≤ n → n₁ ≤ n → IntMul.MultipliesAt M n
(C₀ * (IntMul.OpenAI.Glue.VP n * Ncost (6 * (IntMul.lg n : ℝ)) (IntMul.OpenAI.Glue.dP n) (KP n) (ℓP n) (αP n) *
(Real.log (6 * (IntMul.lg n : ℝ)) + 1) ^ A + n))) :
IntMul.KappaBound (1 / 2 ^ 182) := by sorry