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Generalized random matrix model with additional interactions
We introduce a log-gas model that is a generalization of a random matrix ensemble with an additional interaction, whose strength depends on a parameter . The equilibrium density is computed by numerically solving the Riemann-Hilbert problem associated with the ensemble. The effect of the additional...
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Published in: | Journal of physics. A, Mathematical and theoretical Mathematical and theoretical, 2020-01, Vol.53 (1), p.15001 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We introduce a log-gas model that is a generalization of a random matrix ensemble with an additional interaction, whose strength depends on a parameter . The equilibrium density is computed by numerically solving the Riemann-Hilbert problem associated with the ensemble. The effect of the additional parameter associated with the two-body interaction can be understood in terms of an effective -dependent single-particle confining potential. |
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ISSN: | 1751-8113 1751-8121 |
DOI: | 10.1088/1751-8121/ab56e0 |