The symmetric rank conjecture for the skew matrix multiplication polynomial of size three

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Let sM⟨3⟩sM_{\langle 3\rangle} denote the skew matrix multiplication polynomial of size 33, and let Rs{\bold R}_s denote its symmetric rank, namely the least number of cubes of linear forms whose sum equals the polynomial. Numerical computations give a decomposition with 1818 summands. Symmetric rank conjecture.

Rs(sM⟨3⟩)=18.{\bold R}_s(sM_{\langle 3\rangle})=18.

The preceding lower and upper bounds are 14≤Rs(sM⟨3⟩)≤1814\leq {\bold R}_s(sM_{\langle 3\rangle})\leq18, so the conjecture asserts that the numerically found decomposition is optimal. The decomposition was found numerically using Bertini, with all 1818 summands having rank 33; an exact proof of the equality is not supplied here.

References

Primary source

Luca Chiantini, Jonathan D. Hauenstein, Christian Ikenmeyer, J. M. Landsberg and Giorgio Ottaviani, “Polynomials and the exponent of matrix multiplication”, arXiv:1706.05074 (2017).

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