Asymptotic tensor rank of graph tensors: beyond matrix multiplication
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- OA-Asymptotic tensor rank of graph tensors
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We present an upper bound on the exponent of the asymptotic behaviour of the tensor rank of a family of tensors defined by the complete graph on k vertices. For k≥ 4 , we show that the exponent per edge is at most 0.77, outperforming the best known upper bound on the exponent per edge for matrix multiplication (k = 3), which is approximately 0.79. We raise the question whether for some k the exponent per edge can be below 2/3, i.e. can outperform matrix multiplication even if the matrix multiplication exponent equals 2. In order to obtain our results, we generalize to higher-order tensors a result by Strassen on the asymptotic subrank of tight tensors and a result by Coppersmith and Winograd on the asymptotic rank of matrix multiplication. Our results have applications in entanglement theory and communication complexity.
Originalsprog | Engelsk |
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Tidsskrift | Computational Complexity |
Vol/bind | 28 |
Udgave nummer | 1 |
Sider (fra-til) | 57-111 |
Antal sider | 55 |
ISSN | 1016-3328 |
DOI | |
Status | Udgivet - 2019 |
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