2007
DOI: 10.1214/009117906000000692
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Ergodic properties of Poissonian ID processes

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 L\'{e}vy 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, … Show more

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Cited by 50 publications
(46 citation statements)
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“…The first and fourth points are apparently due to Marchat in his PhD dissertation as pointed out by Grabinski in [8]. We have given our proof of these facts in [18]. The sixth point is folklore.…”
Section: T Is Of Zero Type Iff T * Is Mixing (And Then Mixing Of Any mentioning
confidence: 72%
See 1 more Smart Citation
“…The first and fourth points are apparently due to Marchat in his PhD dissertation as pointed out by Grabinski in [8]. We have given our proof of these facts in [18]. The sixth point is folklore.…”
Section: T Is Of Zero Type Iff T * Is Mixing (And Then Mixing Of Any mentioning
confidence: 72%
“…IDp) (this includes, in particular all α-stable stationary processes). We recall that these processes are exactly those that can be obtained as stochastic integrals with respect to a Poisson measure (see [13] and [18]). Theorem 5.6.…”
Section: 3mentioning
confidence: 99%
“…It follows from (ii) that the Poisson suspension of T , which is a probability preserving transformation, is mixing of all orders [Roy1] with a simple spectrum [Ne]. For the definition of Poisson suspensions we refer to [CFS] and [Ne].…”
Section: Discussionmentioning
confidence: 99%
“…However, it has been noticed in [17] that α-semi-stable stationary processes (α < 2) are factors of Poisson suspensions built over squashable systems (completely squashable in the stable case), associated with the Lévy measure of the process. Hence these Poisson suspensions are of zero or infinite entropy.…”
Section: Additivity and Scaling Of Poisson Entropymentioning
confidence: 99%