Closed fine cost bound of the Lemma 12 program: with the fine Prop. 11 oracle cost ilCostF and S/W < m^τ,…
ProvedNLogN.KFE.cL12F_leClosed fine cost bound of the Lemma 12 program: with the fine Prop. 11 oracle cost ilCostF and S/W < m^τ, the cost is ≤ K ((Vb + 1) u^τ + (u+1)^(c+1) (Bb+2)²) with c = clog_m (S+1): linear in the bit volume Vb with the factor u^τ and no Bb factor, plus a descriptor/call overhead polynomial in u (and u ≤ log₄ Vb).
The following holds (Lean statement, in the scope of module Solutions.KFECost):
theorem NLogN.KFE.cL12F_le {m W S : ℕ} (Kc Kb Kd q : ℕ) (hm : 2 ≤ m) (hW : 1 ≤ W) (hq : 2 ≤ q) {τ : ℝ}
(hτ : 0 < τ ∧ τ < 1) (hs : (S : ℝ) / W < (m : ℝ) ^ τ) :
∃ K : ℝ, 0 ≤ K ∧ ∀ (u : ℕ) (Pre G Suf : Shape) (Bb e Kp : ℕ), 1 ≤ u →
(∀ a ∈ Pre, 1 ≤ a) → (∀ a ∈ G, 1 ≤ a) → (∀ a ∈ Suf, 1 ≤ a) →
e = Nat.clog q (2 ^ u) → Kp = Nat.clog m e →
(cL12F u e (min (W * Kp) e) Kp (e - min (W * Kp) e) (vol (qShape Pre G Suf q e))
(vol (rowShape (vol Pre) (padRows W Kp (q ^ min (W * Kp) e))
(G ++ List.replicate (min (W * Kp) e) q) Suf q (e - min (W * Kp) e))) m q
(fun j => ilCostF W Kc Kb Kd S q Bb j
(vol (rowShape (vol Pre) (padRows W Kp (q ^ min (W * Kp) e))
(G ++ List.replicate (min (W * Kp) e) q) Suf q (e - min (W * Kp) e)))) Bb : ℝ) ≤
K * (((vol (binShape Pre G Suf (2 ^ u)) : ℝ) + 1) * (u : ℝ) ^ τ +
((u : ℝ) + 1) ^ (Nat.clog m (S + 1) + 1) * ((Bb : ℝ) + 2) ^ 2)
Context. The lemma belongs to the part KFE: closed fine cost bound of the Lemma 12 program.
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 set_option linter.unusedSimpArgs false set_option linter.unusedVariables false open NLogN open NLogN.KFE open IntMul RS AModel AModelL12 Finset KIL KFD set_option maxHeartbeats 4000000
theorem NLogN.KFE.cL12F_le {m W S : ℕ} (Kc Kb Kd q : ℕ) (hm : 2 ≤ m) (hW : 1 ≤ W) (hq : 2 ≤ q) {τ : ℝ}
(hτ : 0 < τ ∧ τ < 1) (hs : (S : ℝ) / W < (m : ℝ) ^ τ) :
∃ K : ℝ, 0 ≤ K ∧ ∀ (u : ℕ) (Pre G Suf : Shape) (Bb e Kp : ℕ), 1 ≤ u →
(∀ a ∈ Pre, 1 ≤ a) → (∀ a ∈ G, 1 ≤ a) → (∀ a ∈ Suf, 1 ≤ a) →
e = Nat.clog q (2 ^ u) → Kp = Nat.clog m e →
(cL12F u e (min (W * Kp) e) Kp (e - min (W * Kp) e) (vol (qShape Pre G Suf q e))
(vol (rowShape (vol Pre) (padRows W Kp (q ^ min (W * Kp) e))
(G ++ List.replicate (min (W * Kp) e) q) Suf q (e - min (W * Kp) e))) m q
(fun j => ilCostF W Kc Kb Kd S q Bb j
(vol (rowShape (vol Pre) (padRows W Kp (q ^ min (W * Kp) e))
(G ++ List.replicate (min (W * Kp) e) q) Suf q (e - min (W * Kp) e)))) Bb : ℝ) ≤
K * (((vol (binShape Pre G Suf (2 ^ u)) : ℝ) + 1) * (u : ℝ) ^ τ +
((u : ℝ) + 1) ^ (Nat.clog m (S + 1) + 1) * ((Bb : ℝ) + 2) ^ 2) := by sorry