1994
DOI: 10.1103/physrevlett.73.1497
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Generalized Ensemble of Random Matrices

Abstract: A random matrix ensemble incorporating both GUE and Poisson level statistics while respecting U(N) invariance is proposed and shown to be equivalent to a system of noninteracting, confined, one dimensional fermions at finite temperature.PACS numbers: 05.45+b, 72.15-Rn, 03.65-w (a) Permanent address:

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Cited by 116 publications
(195 citation statements)
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“…The random matrix model of Moshe and Neuberger and Shapiro [40] is defined by the partition function…”
Section: Definition Of the Modelmentioning
confidence: 99%
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“…The random matrix model of Moshe and Neuberger and Shapiro [40] is defined by the partition function…”
Section: Definition Of the Modelmentioning
confidence: 99%
“…As we will see below, in order to make contact with the Thouless energy in the partially quenched effective partition function we have to scale h with an additional factor 1/ √ N. The unitary invariance of this partition function follows from the invariance of the Haar measure. In comparison to [40], an additional factor ∼ Σ 2 /h has been included in the probability distribution of the matrix elements. As we will see below, this will guarantee that in the thermodynamic limit the spectral density is h-independent to leading order in h. We will also find that the partition function is normalized such that the Σ represents the chiral condensate by means of the Banks-Casher relation Σ = πρ(0)/N (with ρ(0) the spectral density around λ = 0).…”
Section: Definition Of the Modelmentioning
confidence: 99%
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“…On a more formal note we can hope the problems related to critical statistics [50,52] can also be attacked in this way, and indeed specialists in the field have expressed interest to use the power map on chiral ensembles and to regularize Dirac operators [53].…”
Section: Discussionmentioning
confidence: 99%
“…Typical features include: scale invariant spectrum [20], level repulsion, and sub-Poisson number variance [21]. Different generalized random matrix model (gRMM) have been successfully employed to describe critical statistics [22,23].…”
Section: Introductionmentioning
confidence: 99%