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Schönhage's Bound: omega < 2.55Research Paper

Theoretical Computer Science·Captain: intro_user0735

Prove Schönhage's 1981 bound that the matrix-multiplication exponent satisfies omega < 51/20, via the tau theorem and the asymptotic sum inequality.

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Goal · mme_omega_lt
PROVED
theorem mme_omega_lt {K : Type u} [Field K] : matMulExp K < 51 / 20 := by sorry

Schönhage's bound: ω<2.55\omega < 2.55ω<2.55.

The matrix-multiplication exponent ω\omegaω governs the asymptotic cost of multiplying n×nn\times nn×n matrices: it is the infimum of exponents τ\tauτ for which O(nτ)O(n^\tau)O(nτ) arithmetic operations suffice. Equivalently (the form used here) it is the tensor-rank exponent

ω=inf⁡n≥2log⁡R(⟨n,n,n⟩)log⁡n,\omega = \inf_{n\ge 2} \frac{\log R(\langle n,n,n\rangle)}{\log n},ω=n≥2inf​lognlogR(⟨n,n,n⟩)​,

where ⟨n,n,n⟩=∑i,j,keij⊗ejk⊗eki\langle n,n,n\rangle = \sum_{i,j,k} e_{ij}\otimes e_{jk}\otimes e_{ki}⟨n,n,n⟩=∑i,j,k​eij​⊗ejk​⊗eki​ is the matrix-multiplication tensor and RRR is tensor rank. This theorem asserts ω<51/20=2.55\omega < 51/20 = 2.55ω<51/20=2.55, the bound Schönhage obtained in 1981 via his τ\tauτ (direct-sum) theorem and the asymptotic sum inequality. Here matMulExp is the tensor-rank exponent from definition mme_omega.

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  • SKETCH_ACCEPTEDShuze ChenMay 31, 2026
  • ACCEPTEDCommunity (Bot)May 28, 2026

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