2014
DOI: 10.1088/1751-8113/47/31/315205
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Partition functions and the continuum limit in Penner matrix models

Abstract: Abstract. We present an implementation of the method of orthogonal polynomials which is particularly suitable to study the partition functions of Penner random matrix models, to obtain their explicit forms in the exactly solvable cases, and to determine the coefficients of their perturbative expansions in the continuum limit. The method relies on identities satisfied by the resolvent of the Jacobi matrix in the three-term recursion relation of the associated families of orthogonal polynomials. These identities… Show more

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Cited by 16 publications
(62 citation statements)
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“…Recently, non-hermitian orthogonality found its way to areas with a much more "modern" flavor, playing the crucial role in the description of the rational solutions to Painlevé equations [12,17], in theoretical physics [1,2,20,25] and in numerical analysis [27].…”
Section: Introduction and Statement Of Main Resultsmentioning
confidence: 99%
“…Recently, non-hermitian orthogonality found its way to areas with a much more "modern" flavor, playing the crucial role in the description of the rational solutions to Painlevé equations [12,17], in theoretical physics [1,2,20,25] and in numerical analysis [27].…”
Section: Introduction and Statement Of Main Resultsmentioning
confidence: 99%
“…This partition function depends implicitly on λ, although for simplicity of notation we do not emphasize it. Ensembles of the form (1.7), with extra algebraic terms in the density, were studied extensively in the literature on matrix models under the name Gauss-Penner model, see [20,2] for details and applications.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…(6.8) 2 As a referee pointed out, the configuration of Figure 7, top right, could be formally considered as a limit case of what we describe in Theorem 6.1 below, where the S-property does play a role. Nevertheless, the situation is completely different here due to the existence of a string of zeros of the weight (6.6) along the imaginary axis.…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…where R is a polynomial and D a rational function with poles of order at most 2. This fact yields that measures µ 1 , µ 2 , µ 3 are supported on a finite union of analytic arcs, that are trajectories of a quadratic differential living on the Riemann surface of (5.6), and which is explicitly given on each sheet of this Riemann surface as (ξ i − ξ j ) 2 (z)(dz) 2 . The fact that the support of critical (or equilibrium) vector measures is described in terms of trajectories on a compact Riemann surface (and thus, what we actually see is their projection on the plane) explains the apparent geometric complexity of the limit set for the zeros of Hermite-Padé polynomials, see Figure 4.…”
Section: Vector Critical Measuresmentioning
confidence: 99%