Cumulants for Random Matrices as Convolutions on the Symmetric Group, II

被引:0
|
作者
M. Capitaine
M. Casalis
机构
[1] Université Paul Sabatier,CNRS, Institut de Mathématiques de Toulouse, Equipe de Statistique et Probabilités
[2] Université Paul Sabatier,Institut de Mathématiques de Toulouse, Equipe de Statistique et Probabilités
来源
Journal of Theoretical Probability | 2007年 / 20卷
关键词
Cumulants; Random matrices; Matrix moments; Free probability;
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摘要
In a previous paper we defined some “cumulants of matrices” which naturally converge toward the free cumulants of the limiting non commutative random variables when the size of the matrices tends to infinity. Moreover these cumulants satisfied some of the characteristic properties of cumulants whenever the matrix model was invariant under unitary conjugation. In this paper we present the fitting cumulants for random matrices whose law is invariant under orthogonal conjugation. The symplectic case could be carried out in a similar way.
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页码:505 / 533
页数:28
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