Probabilistic Rank and Matrix Rigidity
Josh Alman, Ryan Williams

TL;DR
This paper introduces probabilistic rank and sign-rank concepts, revealing that certain matrices like the Walsh-Hadamard transform are less rigid than previously believed, impacting circuit complexity lower bounds.
Contribution
It establishes new upper bounds on matrix rigidity, especially for Walsh-Hadamard matrices, and connects rigidity properties to circuit complexity lower bounds.
Findings
Walsh-Hadamard matrices are not very rigid, allowing low-rank approximations with few modifications.
Explicit matrices with high rank after modifications imply strong circuit lower bounds.
New upper bounds on matrix rigidity challenge previous assumptions about circuit complexity.
Abstract
We consider a notion of probabilistic rank and probabilistic sign-rank of a matrix, which measures the extent to which a matrix can be probabilistically represented by low-rank matrices. We demonstrate several connections with matrix rigidity, communication complexity, and circuit lower bounds, including: The Walsh-Hadamard Transform is Not Very Rigid. We give surprising upper bounds on the rigidity of a family of matrices whose rigidity has been extensively studied, and was conjectured to be highly rigid. For the Walsh-Hadamard transform (a.k.a. Sylvester matrices, or the communication matrix of Inner Product mod 2), we show how to modify only entries in each row and make the rank drop below , for all , over any field. That is, it is not possible to prove arithmetic circuit lower…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Stochastic Gradient Optimization Techniques · Sparse and Compressive Sensing Techniques
