Improved upper bounds for the rigidity of Kronecker products
Bohdan Kivva

TL;DR
This paper improves bounds on the rigidity of Kronecker product matrices, showing they are less rigid than previously thought, which impacts the understanding of explicit matrix families in complexity theory.
Contribution
It extends non-rigidity results for Kronecker product matrices by removing size restrictions and improving bounds, broadening the class of matrices known not to be Valiant-rigid.
Findings
Reduced the exponent in non-rigidity bounds from exponential to polynomial in matrix size.
Extended non-rigidity results to matrices with unequal sizes.
Expanded the class of Hadamard matrices proven not to be Valiant-rigid.
Abstract
The rigidity of a matrix for target rank is the minimum number of entries of that need to be changed in order to obtain a matrix of rank at most . At MFCS'77, Valiant introduced matrix rigidity as a tool to prove circuit lower bounds for linear functions and since then this notion received much attention and found applications in other areas of complexity theory. The problem of constructing an explicit family of matrices that are sufficiently rigid for Valiant's reduction (Valiant-rigid) still remains open. Moreover, since 2017 most of the long-studied candidates have been shown not to be Valiant-rigid. Some of those former candidates for rigidity are Kronecker products of small matrices. In a recent paper (STOC'21), Alman gave a general non-rigidity result for such matrices: he showed that if an matrix (over any field) is a Kronecker product of $d\times…
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