首页> 外文会议>18th Annual Symposium on Theoretical Aspects of Computer Science, Feb 15-17, 2001, Dresden, Germany >A 5/2n~2-Lower Bound for the Multiplicative Complexity of n x n-Matrix Multiplication
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A 5/2n~2-Lower Bound for the Multiplicative Complexity of n x n-Matrix Multiplication

机译:n x n矩阵乘法的乘法复杂度的5 / 2n〜2下界

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摘要

We prove a lower bound of 5/2n~2 - 3n for the multiplicative complexity of n x n-matrix multiplication over arbitrary fields. More general, we show that for any finite dimensional semisimple algebra A with unity, the multiplicative complexity of the multiplication in A is bounded from below by f dim A - 3(n_1 + ... + n_t) if the decomposition of A ≈ A_1 x ... x A_t into simple algebras A_T ≈ D_T~(n_T) X n_T contains only noncommutative factors, that is, the division algebra D_T is noncommu-tative or n_T ≥ 2.
机译:对于任意字段上的n x n-矩阵乘法的乘法复杂度,我们证明了5 / 2n〜2-3n的下界。更一般地说,我们表明,对于任何具有单位为单位的有限维半简单代数A,如果A≈A_1的分解,则A中乘法的乘法复杂度从下面限制为f dim A-3(n_1 + ... + n_t) x ... x A_t转换为简单代数A_T≈D_T〜(n_T)X n_T仅包含非交换因子,即除数D_T是非交换因子或n_T≥2。

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