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A random matrix approach to the Peterson-Thom conjecture

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arxiv 2008.12287 v2 pith:OEXBXTUX submitted 2020-08-27 math.OA math.FAmath.PR

classification math.OAmath.FAmath.PR
keywords conjecturepeterson-thomrandomamenableapproachmatrixrelatedresults
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The Peterson-Thom conjecture asserts that any diffuse, amenable subalgebra of a free group factor is contained in a unique maximal amenable subalgebra. This conjecture is motivated by related results in Popa's deformation/rigidity theory and Peterson-Thom's results on L^{2}-Betti numbers. We present an approach to this conjecture in terms of so-called strong convergence of random matrices by formulating a conjecture which is a natural generalization of the Haagerup-Thorbjornsen theorem whose validity would imply the Peterson-Thom conjecture. This random matrix conjecture is related to recent work of Collins-Guionnet-Parraud.

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  1. Strongly convergent matrix models for $q$-Gaussian algebras

    math.OA 2026-07 conditional novelty 8.0 of 10

    For |q| < √2−1, q-Gaussian families admit strongly convergent finite random matrix models whose allowed matrix-coefficient dimension exceeds the matrix dimension.

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