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Group-Theoretic Lower Bounds for the Complexity of Matrix Multiplication

机译:矩阵乘法复杂性的群理论下界

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The complexity of multiplication in group algebras is closely related to the complexity of matrix multiplication. Inspired by the recent group-theoretic approach by Cohn and Umans [10] and the algorithms by Cohn et al. [9] for matrix multiplication, we present conditional group-theoretic lower bounds for the complexity of matrix multiplication. These bounds depend on the complexity of multiplication in group algebras. Using Blaser's lower bounds for the rank of associative algebras we characterize all semisimple group algebras of minimal bilinear complex ity and show improved lower bounds for other group algebras. We also improve the best previously known bound for the bilinear complexity of group algebras by Atkinson. Our bounds depend on the complexity of matrix multiplication. In the special if the exponent of the matrix multiplication equals two, we achieve almost linear bounds.
机译:群代数中乘法的复杂度与矩阵乘法的复杂度密切相关。受到Cohn和Umans [10]最近的小组理论方法以及Cohn等人的算法的启发。 [9]对于矩阵乘法,我们提出了矩阵乘法复杂性的条件组理论下界。这些界限取决于群代数中乘法的复杂性。使用Blaser的下界作为关联代数的秩,我们可以描述具有最小双线性复杂度的所有半简单群代数,并显示出其他群代数的改进下界。我们还通过Atkinson改进了群代数的双线性复杂度的最佳已知界限。我们的界限取决于矩阵乘法的复杂性。在特殊情况下,如果矩阵乘法的指数等于2,我们将获得几乎线性的边界。

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