Fine structure in the large n limit of the non-hermitian Penner matrix model
Gabriel \'Alvarez, Luis Mart\'inez Alonso, Elena Medina

TL;DR
This paper investigates the detailed asymptotic eigenvalue distribution of a non-hermitian Penner matrix model, revealing a fine structure influenced by a parameter and challenging the standard large n limit assumptions.
Contribution
It introduces a generalized large n limit for the non-hermitian Penner matrix model, incorporating a new parameter that affects eigenvalue support and asymptotic behavior.
Findings
Large n limit depends on both t and l parameters.
Eigenvalue support consists of an interval and an l-dependent oval.
Free energy depends on the fine structure parameter l.
Abstract
In this paper we apply results on the asymptotic zero distribution of the Laguerre polynomials to discuss generalizations of the standard large limit in the non-hermitian Penner matrix model. In these generalizations , but the product is not necessarily fixed to the value of the 't Hooft coupling . If and the limit exists, then the large limit is well-defined but depends both on and on . This result implies that for the standard large limit with fixed is not well-defined. The parameter determines a fine structure of the asymptotic eigenvalue support: for the support consists of an interval on the real axis with charge fraction and an -dependent oval around the origin with charge fraction . For these two components meet, and for…
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Taxonomy
TopicsRandom Matrices and Applications · Algebraic structures and combinatorial models · Advanced Combinatorial Mathematics
