Rectangular random matrices, related free entropy and free Fisher's information

dc.creatorBenaych-Georges, Florent
dc.date2005-12-04
dc.date.accessioned2026-07-07T06:54:50Z
dc.date.available2026-07-07T06:54:50Z
dc.descriptionWe prove that independent rectangular random matrices, when embedded in a space of larger square matrices, are asymptotically free with amalgamation over a commutative finite dimensional subalgebra $D$ (under an hypothesis of unitary invariance). Then we consider elements of a finite von Neumann algebra containing $D$, which have kernel and range projection in $D$. We associate them a free entropy with the microstates approach, and a free Fisher's information with the conjugate variables approach. Both give rise to optimization problems whose solutions involve freeness with amalgamation over $D$. It could be a first proposition for the study of operators between different Hilbert spaces with the tools of free probability. As an application, we prove a result of freeness with amalgamation between the two parts of the polar decomposition of $R$-diagonal elements with non trivial kernel.
dc.description41 pages
dc.identifierhttps://arxiv.org/abs/math/0512081
dc.identifierhttp://arxiv.org/abs/math/0512081
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/106079
dc.subjectOperator Algebras
dc.subjectProbability
dc.subject46L54;15A52
dc.titleRectangular random matrices, related free entropy and free Fisher's information
dc.typetext

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