2009
DOI: 10.1214/09-aap610
|View full text |Cite
|
Sign up to set email alerts
|

Limit theorems for additive functionals of a Markov chain

Abstract: Consider a Markov chain $\{X_n\}_{n\ge 0}$ with an ergodic probability measure $\pi$. Let $\Psi$ a function on the state space of the chain, with $\alpha$-tails with respect to $\pi$, $\alpha\in (0,2)$. We find sufficient conditions on the probability transition to prove convergence in law of $N^{1/\alpha}\sum_n^N \Psi(X_n)$ to a $\alpha$-stable law. ``Martingale approximation'' approach and ``coupling'' approach give two different sets of conditions. We extend these results to continuous time Markov jump proc… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

9
138
0

Year Published

2011
2011
2021
2021

Publication Types

Select...
6
3

Relationship

1
8

Authors

Journals

citations
Cited by 88 publications
(147 citation statements)
references
References 26 publications
(28 reference statements)
9
138
0
Order By: Relevance
“…The results presented in this section extend those of [18] to the case of two-dimensional Markov chains. They can be proved using quite similar arguments.…”
Section: Convergence To a Lévy Processsupporting
confidence: 70%
“…The results presented in this section extend those of [18] to the case of two-dimensional Markov chains. They can be proved using quite similar arguments.…”
Section: Convergence To a Lévy Processsupporting
confidence: 70%
“…Interest in studying the nonlinear model we propose is two-fold: on the one hand, experts in the mathematics of diffusion want to understand the combination of fractional operators with porous medium type propagation. On the other hand, models of this kind arise in statistical mechanics when modeling for instance heat conduction with anomalous properties and one introduces jump processes into the modeling [46], see also [48,47]. It is mentioned in heat control by [6].…”
Section: The Second Fractional Diffusion Modelmentioning
confidence: 99%
“…This is a model of so-called anomalous diffusion, a much studied topic in physics, probability and finance, see for instance [1,47,48,55,71,72] and their references. The equation is solved with the aid of well-known Functional Analysis tools; for instance, it is proved that it generates a semigroup of ordered contractions in L 1 (R n ).…”
mentioning
confidence: 99%
“…The case with degenerate collision frequency we are considering has been studied in [2]. It does not correspond to a particles dynamics physical situation but rather to the modelization of some chains of oscillators, see [13,22].…”
mentioning
confidence: 99%