On Ergodic Properties of Some Lévy-Type Processes
Victoria Knopova () and
Yana Mokanu ()
Additional contact information
Victoria Knopova: Kiev T. Shevchenko University
Yana Mokanu: Kiev T. Shevchenko University
Journal of Theoretical Probability, 2024, vol. 37, issue 1, 582-602
Abstract:
Abstract In this note we find sufficient conditions for ergodicity of a Lévy-type process with the generator of the corresponding semigroup given by $$\begin{aligned} Lf(x)= & {} a(x)f'(x)\\{} & {} + \int _\mathbb {R}\left( f(x+u)-f(x)- \nabla f(x)\cdot u \mathbb {1}_{|u|\le 1} \right) \nu (x,du), \quad f\in C_\infty ^2(\mathbb {R}). \end{aligned}$$ L f ( x ) = a ( x ) f ′ ( x ) + ∫ R f ( x + u ) - f ( x ) - ∇ f ( x ) · u 1 | u | ≤ 1 ν ( x , d u ) , f ∈ C ∞ 2 ( R ) . Here $$\nu (x,du)$$ ν ( x , d u ) is a Lévy-type kernel and $$a(\cdot ): \mathbb {R}\rightarrow \mathbb {R}$$ a ( · ) : R → R . We consider the case where the tails of $$\nu (x,\cdot )$$ ν ( x , · ) have polynomial decay, as well as the case where the decay is (sub)-exponential. We use the Foster–Lyapunov approach to prove the results.
Keywords: Ergodicity; Lévy-type process; Foster–Lyapunov criteria; Lyapunov function; Primary 60G17; Secondary 60J25; 60G45 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10959-023-01252-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jotpro:v:37:y:2024:i:1:d:10.1007_s10959-023-01252-x
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959
DOI: 10.1007/s10959-023-01252-x
Access Statistics for this article
Journal of Theoretical Probability is currently edited by Andrea Monica
More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().