小张量(包括秩小于或等于 7 的张量)的斯特拉森秩可加性

IF 1 3区 数学 Q1 MATHEMATICS
Filip Rupniewski
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引用次数: 0

摘要

文章关注的是张量秩的可加性问题。也就是说,对于两个独立的张量,我们研究它们的直接和的秩等于它们各自秩的和。在希托夫提出反例(2019)之前,"可加性总是成立的 "这一说法曾被称为斯特拉森猜想(1969)。这些反例并不明确,而且只知道在非常大的张量空间中才会渐进存在。在本文中,我们提出了可加性成立的小三向张量对族。例如,在基域 C 上,如果两个张量的秩都小于或等于 7,就属于这种情况。这证明了一对 2×2 矩阵乘法张量具有秩可加性。我们还证明了阿列克谢耶夫-福布斯-齐默尔曼置换法保留了张量直接和的结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strassen's rank additivity for small tensors, including tensors of rank less or equal 7

The article is concerned with the problem of additivity of the tensor rank. That is, for two independent tensors, we study when the rank of their direct sum is equal to the sum of their individual ranks. The statement saying that additivity always holds was previously known as Strassen's conjecture (1969) until Shitov proposed counterexamples (2019). They are not explicit and only known to exist asymptotically for very large tensor spaces. In this article, we present families of pairs of small three-way tensors for which the additivity holds. For instance, over the base field C, it is the case if both tensors are of rank less or equal 7. This proves that a pair of 2×2 matrix multiplication tensors has the rank additivity property. We show also that the Alexeev-Forbes-Tsimerman substitution method preserves the structure of a direct sum of tensors.

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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
333
审稿时长
13.8 months
期刊介绍: Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.
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