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相关论文: New lower bounds for the border rank of matrix mul…

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The rank of the matrix multiplication operator for nxn matrices is one of the most studied quantities in algebraic complexity theory. I prove that the rank is at least n^2-o(n^2). More precisely, for any integer p\leq n -1, the rank is at…

计算复杂性 · 计算机科学 2013-10-31 J. M. Landsberg

We develop a notion of {\em inner rank} as a tool for obtaining lower bounds on the rank of matrix multiplication tensors. We use it to give a short proof that the border rank (and therefore rank) of the tensor associated with $n\times n$…

计算复杂性 · 计算机科学 2019-05-15 Joel Friedman

For every $p\leq n$ positive integer we obtain the lower bound $(3-\frac{1}{p+1})n^2-\big(2\binom{2p}{p+1}-\binom{2p-2}{p-1}+2\big)n$ for the rank of the $n\times n$ matrix multiplication. This bound improves the previous one…

计算复杂性 · 计算机科学 2013-11-08 Alex Massarenti , Emanuele Raviolo

We establish basic information about border rank algorithms for the matrix multiplication tensor and other tensors with symmetry. We prove that border rank algorithms for tensors with symmetry (such as matrix multiplication and the…

代数几何 · 数学 2016-02-01 J. M. Landsberg , Mateusz Michałek

Let M_n denote the matrix multiplication tensor for nxn matrices. We use the border substitution method combined with Koszul flattenings to prove the border rank lower bound of 2n^2-log(n)-1 for M_n.

计算复杂性 · 计算机科学 2016-08-29 J. M. Landsberg , Mateusz Michałek

We make an in-depth study of the known border rank (i.e. approximate) algorithms for the matrix multiplication tensor encoding the multiplication of an n x 2 matrix by a 2 x 2 matrix.

数值分析 · 计算机科学 2015-09-29 J. M. Landsberg , Nicholas Ryder

I show that 2x2 matrices cannot be approximately multiplied using less than seven multiplications. In other words I show that the matrix multiplication operator is not in the sixth secant variety of the Segre produt of three $P^3$'s.

代数几何 · 数学 2007-05-23 J. M. Landsberg

We present new methods for determining polynomials in the ideal of the variety of bilinear maps of border rank at most r. We apply these methods to several cases including the case r = 6 in the space of bilinear maps C^4 x C^4 -> C^4. This…

计算复杂性 · 计算机科学 2013-07-10 Jonathan D. Hauenstein , Christian Ikenmeyer , J. M. Landsberg

We show that the border support rank of the tensor corresponding to two-by-two matrix multiplication is seven over the complex numbers. We do this by constructing two polynomials that vanish on all complex tensors with format…

计算复杂性 · 计算机科学 2018-09-26 Markus Bläser , Matthias Christandl , Jeroen Zuiddam

Let $M_{\langle u,v,w\rangle}\in C^{uv}\otimes C^{vw}\otimes C^{wu}$ denote the matrix multiplication tensor (and write $M_n=M_{\langle n,n,n\rangle}$) and let $det_3\in ( C^9)^{\otimes 3}$ denote the determinant polynomial considered as a…

代数几何 · 数学 2019-11-20 Austin Conner , Alicia Harper , J. M. Landsberg

We show that lower bounds on the border rank of matrix multiplication can be used to non-trivially derandomize polynomial identity testing for small algebraic circuits. Letting $\underline{R}(n)$ denote the border rank of $n \times n \times…

计算复杂性 · 计算机科学 2024-04-18 Robert Andrews

We prove lower bounds of order $n\log n$ for both the problem to multiply polynomials of degree $n$, and to divide polynomials with remainder, in the model of bounded coefficient arithmetic circuits over the complex numbers. These lower…

计算复杂性 · 计算机科学 2007-05-23 Peter Buergisser , Martin Lotz

An important building block in all current asymptotically fast algorithms for matrix multiplication are tensors with low border rank, that is, tensors whose border rank is equal or very close to their size. To find new asymptotically fast…

计算复杂性 · 计算机科学 2016-08-25 Markus Bläser , Vladimir Lysikov

We study the complexity of multiplication in noncommutative group algebras which is closely related to the complexity of matrix multiplication. We characterize such semisimple group algebras of the minimal bilinear complexity and show…

计算复杂性 · 计算机科学 2010-03-25 Alexey Pospelov

We develop an automated framework for proving lower bounds on the bilinear complexity of matrix multiplication over finite fields. Our approach systematically combines orbit classification of the restricted first matrix and dynamic…

计算复杂性 · 计算机科学 2026-05-19 Chengu Wang

We prove lower bounds on the number of product gates in bilinear and quadratic circuits that compute the product of two $n \cross n$ matrices over finite fields. In particular we obtain the following results: 1. We show that the number of…

计算复杂性 · 计算机科学 2007-05-23 Amir Shpilka

The complexity of matrix multiplication is measured in terms of $\omega$, the smallest real number such that two $n\times n$ matrices can be multiplied using $O(n^{\omega+\epsilon})$ field operations for all $\epsilon>0$; the best bound…

数据结构与算法 · 计算机科学 2024-09-11 Josh Alman , Virginia Vassilevska Williams

We study the algorithmic problem of multiplying large matrices that are rectangular. We prove that the method that has been used to construct the fastest algorithms for rectangular matrix multiplication cannot give algorithms with…

计算复杂性 · 计算机科学 2025-11-10 Matthias Christandl , François Le Gall , Vladimir Lysikov , Jeroen Zuiddam

We determine the border subrank of higher order structure tensors of several families of algebras, and in particular obtain the following results. (1) We determine tight bounds on the border subrank of $k$-fold matrix multiplication and…

代数几何 · 数学 2026-04-23 Chia-Yu Chang , Fulvio Gesmundo , Jeroen Zuiddam

We present three families of minimal border rank tensors: they come from highest weight vectors, smoothable algebras, or monomial algebras. We analyse them using Strassen's laser method and obtain an upper bound $2.431$ on $\omega$. We also…

代数几何 · 数学 2022-04-13 Roser Homs , Joachim Jelisiejew , Mateusz Michałek , Tim Seynnaeve
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