The symmetric rank conjecture for the skew matrix multiplication polynomial of size three
The symmetric rank conjecture for the skew matrix multiplication polynomial of size three
Let denote the skew matrix multiplication polynomial of size , and let denote its symmetric rank, namely the least number of cubes of linear forms whose sum equals the polynomial. Numerical computations give a decomposition with summands. Symmetric rank conjecture.
The preceding lower and upper bounds are , so the conjecture asserts that the numerically found decomposition is optimal. The decomposition was found numerically using Bertini, with all summands having rank ; 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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