From the Littlewood-Offord problem to the Circular Law: universality of the spectral distribution of random matrices

dc.creatorTao, Terence
dc.creatorVu, Van
dc.date2008-10-16
dc.date2009-01-01
dc.date.accessioned2026-07-07T12:23:21Z
dc.date.available2026-07-07T12:23:21Z
dc.descriptionThe famous \emph{circular law} asserts that if $M_n$ is an $n \times n$ matrix with iid complex entries of mean zero and unit variance, then the empirical spectral distribution (ESD) of the normalized matrix $\frac{1}{\sqrt{n}} M_n$ converges almost surely to the uniform distribution on the unit disk $\{z \in \C: |z| \leq 1 \}$. After a long sequence of partial results that verified this law under additional assumptions on the distribution of the entries, the full circular law was recently established in \cite{TVcir2}. In this survey we describe some of the key ingredients used in the establishment of the circular law, in particular recent advances in understanding the Littlewood-Offord problem and its inverse.
dc.description25 pages, 8 figures, to appear, Bull. Amer. Math. Soc. Various corrections and referee suggestions incorporated
dc.identifierhttps://arxiv.org/abs/0810.2994
dc.identifierhttp://arxiv.org/abs/0810.2994
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/213955
dc.subjectProbability
dc.subject15A52, 60G50
dc.titleFrom the Littlewood-Offord problem to the Circular Law: universality of the spectral distribution of random matrices
dc.typetext

Files

Collections