Derandomizing Matrix Concentration Inequalities from Free Probability

Fuente: arXiv
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Auteurs principaux: Wang, Robert, Lau, Lap Chi, Zhou, Hong
Format: Preprint
Publié: 2026
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_version_ 1866918475095605248
author Wang, Robert
Lau, Lap Chi
Zhou, Hong
author_facet Wang, Robert
Lau, Lap Chi
Zhou, Hong
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2601_08111
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Derandomizing Matrix Concentration Inequalities from Free Probability
Wang, Robert
Lau, Lap Chi
Zhou, Hong
Data Structures and Algorithms
Discrete Mathematics
Combinatorics
Probability
60B20, 05C80, 46L54, 15B52
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.
title Derandomizing Matrix Concentration Inequalities from Free Probability
topic Data Structures and Algorithms
Discrete Mathematics
Combinatorics
Probability
60B20, 05C80, 46L54, 15B52
url https://arxiv.org/abs/2601.08111