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

Let sM3sM_{\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(sM3)=18.{\bold R}_s(sM_{\langle 3\rangle})=18.

The preceding lower and upper bounds are 14Rs(sM3)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.

Sources & referencesView supporting material

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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