\(V\)-density for eigenvalues of random block matrices with independent blocks whose entries have different variances and expectations

DOI10.1515/ROSE-2019-2014zbMath1426.15055OpenAlexW2969731040MaRDI QIDQ2334795

Vyacheslav L. Girko, Larissa D. Shevchuk

Publication date: 7 November 2019

Published in: Random Operators and Stochastic Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/rose-2019-2014

zbMATH Keywords

eigenvaluesrandom matrix

Mathematics Subject Classification ID

Eigenvalues, singular values, and eigenvectors (15A18) Random matrices (algebraic aspects) (15B52)

Cites Work

• From the first rigorous proof of the circular law in 1984 to the circular law for block random matrices under the generalized Lindeberg condition
• The limit \(G\)-law for the solutions of systems of linear algebraic equations with independent random coefficients under the \(G\)-Lindeberg condition
• The V-density of eigenvalues of non symmetric random matrices and rigorous proof of the strong Circular law
• Random block matrix density and SS-Law
• 35 years of the Inverse Tangent Law
• The Circular Law. Thirty years later
• The Circular Law. Twenty years later. Part III
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