2006
DOI: 10.1088/0305-4470/39/42/002
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Arbitrary unitarily invariant random matrix ensembles and supersymmetry

Abstract: We generalize the supersymmetry method in Random Matrix Theory to arbitrary rotation invariant ensembles. Our exact approach further extends a previous contribution in which we constructed a supersymmetric representation for the class of norm-dependent Random Matrix Ensembles. Here, we derive a supersymmetric formulation under very general circumstances. A projector is identified that provides the mapping of the probability density from ordinary to superspace. Furthermore, it is demonstrated that setting up th… Show more

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Cited by 36 publications
(160 citation statements)
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References 24 publications
(114 reference statements)
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“…We also derived a supersymmetric integral for the k-point generating function of the correlated Jacobi ensemble and the correlated Cauchy-Lorentz ensemble via the projection formula [10,11] in combination with generalized Hubbard-Stratonovich transformation [42,44,45] and the superbosonization formula [40][41][42]. The resulting integral over the supermatrices looks similar to the one of the correlated Wishart ensemble [26].…”
Section: Discussionmentioning
confidence: 97%
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“…We also derived a supersymmetric integral for the k-point generating function of the correlated Jacobi ensemble and the correlated Cauchy-Lorentz ensemble via the projection formula [10,11] in combination with generalized Hubbard-Stratonovich transformation [42,44,45] and the superbosonization formula [40][41][42]. The resulting integral over the supermatrices looks similar to the one of the correlated Wishart ensemble [26].…”
Section: Discussionmentioning
confidence: 97%
“…Due to the invariance of the integrand in Eq. (77) under A → U A for an arbitrary U ∈ O(p) for β = 1 and U ∈ U(p) for β = 2, the integrand only depends on the invariants tr AA † m for m ∈ N. These invariants are equal to the superinvariants tr AA † m = str A † A m , see [38,39,44,45]. Employing this duality in the generating function (77), we arrive at…”
Section: A Supersymmetric Two-matrix Modelmentioning
confidence: 96%
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