Stochastic Integral and Covariation Representations for Rectangular Levy Process Ensembles

被引:0
|
作者
Armando Dominguez-Molina, J. [1 ]
Rocha-Arteaga, Alfonso [1 ]
机构
[1] Univ Autonoma Sinaloa, Fac Ciencias Fis Matemat, Culiacan, Sinaloa, Mexico
关键词
Random matrices; Rectangular random matrix model; Complex matrix semimartingales; Complex matrix Levy processes; Levy measures; Ornstein-Uhlenbeck rectangular type processes; Infinitely divisible distribution; Free infinitely divisible distribution; Bercovici-Pata bijection; INFINITELY DIVISIBLE DISTRIBUTIONS;
D O I
10.1007/978-3-319-13984-5_6
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
A Bercovici-Pata bijection Lambda(c) from the set of symmetric infinitely divisible distributions to the set of boxed plus(c)-free infinitely divisible distributions, for certain free convolution boxed plus(c) is introduced in Benaych-Georges (Random matrices, related convolutions. Probab Theory Relat Fields 144:471-515, 2009. Revised version of F. Benaych-Georges: Random matrices, related convolutions. arXiv, 2005). This bijection is explained in terms of complex rectangular matrix ensembles whose singular distributions are boxed plus(c)-free infinitely divisible. We investigate the rectangular matrix Levy processes with jumps of rank one associated to these rectangular matrix ensembles. First as general result, a sample path representation by covariation processes for rectangular matrix Levy processes of rank one jumps is obtained. Second, rectangular matrix ensembles for boxed plus(c)-free infinitely divisible distributions are built consisting of matrix stochastic integrals when the corresponding symmetric infinitely divisible distributions under Lambda(c) admit stochastic integral representations. These models are realizations of stochastic integrals of non-random functions with respect to rectangular matrix Levy processes. In particular, any boxed plus(c)-free selfdecomposable infinitely divisible distribution has a random matrix model of Ornstein-Uhlenbeck type integral(infinity)(0) e(-t)d Psi(t) where {Psi(t) : t >= 0} is a rectangular matrix Levy process.
引用
收藏
页码:119 / 139
页数:21
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