2007
DOI: 10.3842/sigma.2007.048
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Density of Eigenvalues of Random Normal Matrices with an Arbitrary Potential, and of Generalized Normal Matrices

Abstract: Abstract. Following the works by Wiegmann-Zabrodin, Elbau-Felder, Hedenmalm-Makarov, and others, we consider the normal matrix model with an arbitrary potential function, and explain how the problem of finding the support domain for the asymptotic eigenvalue density of such matrices (when the size of the matrices goes to infinity) is related to the problem of Hele-Shaw flows on curved surfaces, considered by Entov and the first author in 1990-s. In the case when the potential function is the sum of a rotationa… Show more

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Cited by 9 publications
(13 citation statements)
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“…The asymptotics of the right hand side can be deduced from the following fact (see [22], cf. also [7], [18], [19])…”
Section: Notation Preliminaries and The Main Resultsmentioning
confidence: 99%
“…The asymptotics of the right hand side can be deduced from the following fact (see [22], cf. also [7], [18], [19])…”
Section: Notation Preliminaries and The Main Resultsmentioning
confidence: 99%
“…The error matrix E(z) is defined as 20) where the boundary of D is oriented clockwise. The matrix has also jumps on Γ i ∪ Γ e \ D which are exponentially close to the identity matrix and can be ignored for the purposes of the analysis.…”
Section: Error Matrixmentioning
confidence: 99%
“…Note that the potential W (λ) has a discrete rotational Z s -symmetry. It was observed in [8] (see also [26]) that if a potential W (λ) can be written in the form…”
Section: Introductionmentioning
confidence: 99%