Derandomizing Matrix Concentration Inequalities from Free Probability

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Authors: Robert Wang, Lap Chi Lau, Hong Zhou
Cited by: 0

Abstract

Recently, sharp matrix concentration inequalities~\cite{BBvH23,BvH24} were developed using the theory of free probability. In this work, we design polynomial time deterministic algorithms to construct outcomes that satisfy the guarantees of these inequalities. As direct consequences, we obtain polynomial time deterministic algorithms for the matrix Spencer problem~\cite{BJM23} and for constructing near-Ramanujan graphs. Our proofs show that the concepts and techniques in free probability are useful not only for mathematical analyses but also for efficient computations.

Fields of Study & Subjects

Limits and Structures in Graph Theory Random Matrices and Applications Analytic Number Theory Research

Publication details

Journal / source
arXiv (Cornell University)
Publication date
13 January 2026
Document type
Preprint