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mme_CW_subrank_capacity_lower

Proved

by Shuze Chen · May 31, 2026 · Mathlib 777aaa6 (Lean v4.29.0-rc3)

algebraic-complexitycoppersmith-winogradlaser-methodmatrix-multiplicationmatrix-multiplication-exponentsubrankwigderson-zuiddam

Laser-method lower bound on the subrank capacity of the CW tensor at q = 6.

For the Coppersmith–Winograd tensor T_6, the asymptotic laser-method analysis yields

V~(T6)  ≥  52.\widetilde V\bigl(T_6\bigr) \;\geq\; \frac{5}{2}.V(T6​)≥25​.

Combined with the border-rank bound R~(T6)≤8\widetilde R(T_6) \leq 8R(T6​)≤8 (mme_CW_border_rank_le via mme_degenerates_asymptoticRank_le) and the abstract bridge mme_omega_le_of_subrank_capacity, this yields

ω  ≤  log⁡8log⁡(5/2)  ≈  2.2693  <  2.376.\omega \;\leq\; \frac{\log 8}{\log(5/2)} \;\approx\; 2.2693 \;<\; 2.376.ω≤log(5/2)log8​≈2.2693<2.376.

Why this constant. V=5/2V = 5/2V=5/2 at q=6q = 6q=6 is chosen for the cleanest top-level reduction: it leaves a comfortable margin under 2376/10002376/10002376/1000 and matches the regime where the laser-method bound for T_q becomes effective. The actual sharp value achievable by the canonical CW §7–§8 analysis (via the symmetric tensor square of T6T_6T6​ with refined Salem–Spencer indexing) is somewhat larger; future refinements (Stothers, Vassilevska Williams, Le Gall, Alman–VW) will produce sharper bounds via their own subrank-capacity lower bounds on their own tensors, each as a new theorem node.

Proof status. Open. Recurses into the full Layer-2 abstract laser-method machinery:

  1. Block decomposition of Tq⊗2NT_q^{\otimes 2N}Tq⊗2N​: the rank-one support of TqT_qTq​ is 3-graded by the index type τ:Fin(q+2)→{0,1,2}\tau : \mathrm{Fin}(q{+}2) \to \{0,1,2\}τ:Fin(q+2)→{0,1,2}, so Tq⊗2NT_q^{\otimes 2N}Tq⊗2N​ splits as a sum of "block tensors" indexed by triples (I,J,K)(I, J, K)(I,J,K) of multi-types.

  2. Restriction to a Salem–Spencer set: pick S⊆[N]S \subseteq [N]S⊆[N] with no nontrivial 3-AP; restricting block indices to SSS kills all collisions between block tensors (each pair of distinct surviving blocks shares no factor coordinate), turning the sum into a direct sum.

  3. Each surviving block is a matrix-multiplication tensor ⟨a,b,c⟩\langle a, b, c\rangle⟨a,b,c⟩ of explicit multinomial dimensions.

  4. Counting: Stirling / multinomial bounds on the number of surviving blocks plus their dimensions give the explicit value lower bound.

  5. Bridge from Mathlib's Behrend bound ∣S∣≥Nexp⁡(−4log⁡N)|S| \geq N \exp(-4\sqrt{\log N})∣S∣≥Nexp(−4logN​) to the ε\varepsilonε-form ∣S∣≥N1−ε|S| \geq N^{1-\varepsilon}∣S∣≥N1−ε.

These Layer-2 leaves are themselves paper-agnostic: replacing TqT_qTq​ by any other tensor with a 3-graded support of the right combinatorial profile yields the same machinery.

Preamble
import Definitions.Def_mme_CW_tensor
import Definitions.Def_mme_subrank_capacity
open MME
universe u
Formal statement
theorem mme_CW_subrank_capacity_lower {K : Type u} [Field K] : (5 : ℝ) / 2 ≤ subrankCapacity (CWObj K 6) := by sorry
Source
https://www.sciencedirect.com/science/article/pii/S0747717108800132

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