Random permutation matrix models for graph products

Fuente: arXiv
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Hauptverfasser: Charlesworth, Ian, de Santiago, Rolando, Hayes, Ben, Jekel, David, Nelson, Brent, Elayavalli, Srivatsav Kunnawalkam
Format: Preprint
Veröffentlicht: 2024
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author Charlesworth, Ian
de Santiago, Rolando
Hayes, Ben
Jekel, David
Nelson, Brent
Elayavalli, Srivatsav Kunnawalkam
author_facet Charlesworth, Ian
de Santiago, Rolando
Hayes, Ben
Jekel, David
Nelson, Brent
Elayavalli, Srivatsav Kunnawalkam
contents Graph independence (also known as $ε$-independence or $λ$-independence) is a mixture of classical independence and free independence corresponding to graph products or groups and operator algebras. Using conjugation by certain random permutation matrices, we construct random matrix models for graph independence with amalgamation over the diagonal matrices. This yields a new probabilist,ic proof that graph products of sofic groups are sofic.
format Preprint
id arxiv_https___arxiv_org_abs_2404_07350
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Random permutation matrix models for graph products
Charlesworth, Ian
de Santiago, Rolando
Hayes, Ben
Jekel, David
Nelson, Brent
Elayavalli, Srivatsav Kunnawalkam
Operator Algebras
Combinatorics
Functional Analysis
Group Theory
Probability
Graph independence (also known as $ε$-independence or $λ$-independence) is a mixture of classical independence and free independence corresponding to graph products or groups and operator algebras. Using conjugation by certain random permutation matrices, we construct random matrix models for graph independence with amalgamation over the diagonal matrices. This yields a new probabilist,ic proof that graph products of sofic groups are sofic.
title Random permutation matrix models for graph products
topic Operator Algebras
Combinatorics
Functional Analysis
Group Theory
Probability
url https://arxiv.org/abs/2404.07350