The Annals of Probability

Ergodic properties of Poissonian ID processes

Emmanuel Roy
Source: Ann. Probab. Volume 35, Number 2 (2007), 551-576.

Abstract

We show that a stationary IDp process (i.e., an infinitely divisible stationary process without Gaussian part) can be written as the independent sum of four stationary IDp processes, each of them belonging to a different class characterized by its Lévy measure. The ergodic properties of each class are, respectively, nonergodicity, weak mixing, mixing of all order and Bernoullicity. To obtain these results, we use the representation of an IDp process as an integral with respect to a Poisson measure, which, more generally, has led us to study basic ergodic properties of these objects.

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Primary Subjects: 60G10, 60E07, 37A05
Secondary Subjects: 37A40, 60G55
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aop/1175287754
Digital Object Identifier: doi:10.1214/009117906000000692
Mathematical Reviews number (MathSciNet): MR2308588
Zentralblatt MATH identifier: 1146.60031

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The Annals of Probability

The Annals of Probability