Matrix Rigidity and the Croot-Lev-Pach Lemma: Theory of Computing: An Open Access Electronic Journal in Theoretical Computer Science

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Volume 15 (2019) Article 8 pp. 1-7 [Note]
Matrix Rigidity and the Croot-Lev-Pach Lemma
Received: September 19, 2017
Revised: October 2, 2018
Published: October 15, 2019
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Keywords: complexity theory, complexity, combinatorics, additive combinatorics, algebraic complexity, circuit complexity, arithmetic circuits, lower bounds, rank, polynomials, matrix rigidity, polynomial method, Hamming distance
Categories: complexity theory, lower bounds, combinatorics, additive combinatorics, algebraic complexity, circuit complexity, arithmetic circuits, rank, polynomials, matrix rigidity, polynomial method, Hamming distance, note
ACM Classification: F.2.2, F.1.3
AMS Classification: 68Q17, 68Q15

Abstract: [Plain Text Version]

Matrix rigidity is a notion put forth by Valiant (1977) as a means for proving arithmetic circuit lower bounds. A matrix is rigid if it is far, in Hamming distance, from any low-rank matrix. Despite decades of effort, no explicit matrix rigid enough to carry out Valiant's plan has been found. Recently, Alman and Williams (STOC'17) showed that, contrary to common belief, the Walsh--Hadamard matrices cannot be used for Valiant's program as they are not sufficiently rigid.

Our main result is a similar non-rigidity theorem for any $q^n \times q^n$ matrix $M$ of the form $M(x,y) = f(x+y),ドル where $f:\mathbb{F}_q^n \to \mathbb{F}_q$ is any function and $\mathbb{F}_q$ is a fixed finite field of $q$ elements ($n$ goes to infinity). The theorem follows almost immediately from a recent lemma of Croot, Lev and Pach (2017) which is also the main ingredient in the recent solution of the famous cap-set problem by Ellenberg and Gijswijt (2017).

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