Ergodicity of Lévy-Type Processes
ESAIM: Probability and Statistics, Tome 20 (2016), pp. 154-177.

In this paper, conditions for transience, recurrence, ergodicity and strong, subexponential (polynomial) and exponential ergodicity of a class of Feller processes are derived. The conditions are given in terms of the coefficients of the corresponding infinitesimal generator. As a consequence, mixing properties of these processes are also discussed.

DOI : 10.1051/ps/2016009
Classification : 60J25, 60J75, 60G17
Mots clés : Ergodicity, exponential ergodicity, Lévy-type process, polynomial ergodicity, recurrence, strong ergodicity, transience
Sandrić, Nikola 1, 2

1 Institut für Mathematische Stochastik, Fachrichtung Mathematik, Technische Universität Dresden, 01062 Dresden, Germany.
2 Department of Mathematics, Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia.
@article{PS_2016__20__154_0,
     author = {Sandri\'c, Nikola},
     title = {Ergodicity of {L\'evy-Type} {Processes}},
     journal = {ESAIM: Probability and Statistics},
     pages = {154--177},
     publisher = {EDP-Sciences},
     volume = {20},
     year = {2016},
     doi = {10.1051/ps/2016009},
     mrnumber = {3528622},
     zbl = {1355.60062},
     language = {en},
     url = {http://www.numdam.org/articles/10.1051/ps/2016009/}
}
TY  - JOUR
AU  - Sandrić, Nikola
TI  - Ergodicity of Lévy-Type Processes
JO  - ESAIM: Probability and Statistics
PY  - 2016
SP  - 154
EP  - 177
VL  - 20
PB  - EDP-Sciences
UR  - http://www.numdam.org/articles/10.1051/ps/2016009/
DO  - 10.1051/ps/2016009
LA  - en
ID  - PS_2016__20__154_0
ER  - 
%0 Journal Article
%A Sandrić, Nikola
%T Ergodicity of Lévy-Type Processes
%J ESAIM: Probability and Statistics
%D 2016
%P 154-177
%V 20
%I EDP-Sciences
%U http://www.numdam.org/articles/10.1051/ps/2016009/
%R 10.1051/ps/2016009
%G en
%F PS_2016__20__154_0
Sandrić, Nikola. Ergodicity of Lévy-Type Processes. ESAIM: Probability and Statistics, Tome 20 (2016), pp. 154-177. doi : 10.1051/ps/2016009. http://www.numdam.org/articles/10.1051/ps/2016009/

R.F. Bass, Uniqueness in law for pure jump Markov processes. Probab. Theory Related Fields 79 (1988) 271–287. | DOI | MR | Zbl

R.F. Bass and M. Cranston, The Malliavin calculus for pure jump processes and applications to local time. Ann. Probab. 14 (1986) 490–532. | MR | Zbl

R.N. Bhattacharya, Criteria for recurrence and existence of invariant measures for multidimensional diffusions. Ann. Probab. 6 (1978) 541–553. | DOI | MR | Zbl

R.N. Bhattacharya, Correction to: “Criteria for recurrence and existence of invariant measures for multidimensional diffusions” [Ann. Probab. 6 (1978) 541–553]. Ann. Probab. 8 (1980) 1194–1195. | DOI | Zbl

R.N. Bhattacharya, On the functional central limit theorem and the law of the iterated logarithm for Markov processes. Z. Wahrsch. Verw. Gebiete 60 (1982) 185–201. | DOI | MR | Zbl

B. Böttcher, An overshoot approach to recurrence and transience of Markov processes. Stochastic Process. Appl. 121 (2011) 1962–1981. | DOI | MR | Zbl

B. Böttcher, R.L. Schilling and J. Wang, Lévy matters. III. Springer, Cham (2013). | MR

R.C. Bradley, Basic properties of strong mixing conditions. A survey and some open questions. Probab. Surv. 2 (2005) 107–144. | DOI | MR | Zbl

P. Courrége, Sur la forme intégro-différentielle des opérateus de CK dans C satisfaisant au principe du maximum. Sém. Théorie du Potentiel, exposé 2 (1965–1966) 38. | Numdam | Zbl

Ju.A. Davydov, Mixing conditions for Markov chains. Teor. Verojatnost. i Primenen. 18 (1973) 321–338. | MR | Zbl

R. Douc, G. Fort and A. Guillin, Subgeometric rates of convergence of f-ergodic strong Markov processes. Stochastic Process. Appl. 119 (2009) 897–923. | DOI | MR | Zbl

D. Down, S.P. Meyn and R.L. Tweedie, Exponential and uniform ergodicity of Markov processes. Ann. Probab. 23 (1995) 1671–1691. | DOI | MR | Zbl

S.N. Ethier and T.G. Kurtz, Markov processes. John Wiley & Sons Inc., New York (1986). | MR | Zbl

G.B. Folland, Real analysis. John Wiley & Sons, Inc., New York (1984). | MR | Zbl

G. Fort and G.O. Roberts, Subgeometric ergodicity of strong Markov processes. Ann. Appl. Probab. 15 (2005) 1565–1589. | DOI | MR | Zbl

B. Franke, The scaling limit behaviour of periodic stable-like processes. Bernoulli 12 (2006) 551–570. | DOI | MR | Zbl

B. Franke, Correction to: The scaling limit behaviour of periodic stable-like processes [Bernoulli 12 (2006) 551–570]. Bernoulli 13 (2007) 600. | DOI | Zbl

A. Friedman, Wandering out to infinity of diffusion processes. Trans. Amer. Math. Soc. 184 (1973) 185–203. | MR | Zbl

A. Friedman, Stochastic differential equations and applications. Vol. 1. Academic Press [Harcourt Brace Jovanovich, Publishers], New York-London (1975). | MR | Zbl

M. Hairer, Convergence of Markov processes. Lecture notes. University of Warwick. Available on http://www.hairer.org/notes/Convergence.pdf (2010).

Y. Ishikawa, Density estimate in small time for jump processes with singular Lévy measures. Tohoku Math. J. 53 (2001) 183–202. | DOI | MR | Zbl

N. Jacob, Pseudo differential operators and Markov processes. Vol. I. Imperial College Press, London (2001). | MR

N. Jacob, Pseudo differential operators and Markov processes. Vol. III. Imperial College Press, London (2005). | MR | Zbl

V.P. Knopova and A.M. Kulik, The parametrix method and the weak solution to an SDE driven by an α-stable noise. Preprint arXiv:1412.1732 (2014).

V.P. Knopova and R.L. Schilling, Transition density estimates for a class of Lévy and Lévy-type processes. J. Theoret. Probab. 25 (2012) 144–170. | DOI | MR | Zbl

V.P. Knopova and R.L. Schilling, A note on the existence of transition probability densities of Lévy processes. Forum Math. 25 (2013) 125–149. | DOI | MR | Zbl

V.N. Kolokoltsov, Symmetric stable laws and stable-like jump-diffusions. Proc. London Math. Soc. 80 (2000) 725–768. | DOI | MR | Zbl

V.N. Kolokoltsov, Markov processes, semigroups and generators. Vol. 38. Walter de Gruyter & Co., Berlin (2011). | MR | Zbl

A.M. Kulik, Stochastic calculus of variations for general Lévy processes and its applications to jump-type SDE’s with non-degenerated drift. Preprint (2007). | arXiv

P. Mandl, Analytical treatment of one-dimensional Markov processes. Academia Publishing House of the Czechoslovak Academy of Sciences, Prague; Springer-Verlag New York Inc., New York (1968). | MR | Zbl

H. Masuda, On multidimensional Ornstein–Uhlenbeck processes driven by a general Lévy process. Bernoulli 10 (2004) 97–120. | DOI | MR | Zbl

H. Masuda, Ergodicity and exponential β-mixing bounds for multidimensional diffusions with jumps. Stochastic Process. Appl. 117 (2007) 35–56. | DOI | MR | Zbl

H. Masuda, Erratum to: Ergodicity and exponential β-mixing bound for multidimensional diffusions with jumps [Stochastic Process. Appl. 117 (2007) 35–56]. Stochastic Process. Appl. 119 (2009) 676–678. | DOI | MR | Zbl

S.P. Meyn and R.L. Tweedie, Generalized resolvents and Harris recurrence of Markov processes. In Vol. 149 of Doeblin and modern probability (Blaubeuren, 1991). Amer. Math. Soc., Providence, RI (1993) 227–250. | MR | Zbl

S.P. Meyn and R.L. Tweedie, Stability of Markovian processes. II. Continuous-time processes and sampled chains. Adv. Appl. Probab. 25 (1993) 487–517. | DOI | MR | Zbl

S.P. Meyn and R.L. Tweedie, Markov chains and stochastic stability, 2nd edition. Cambridge University Press, Cambridge (2009). | MR | Zbl

G. Pang and N. Sandrić, Ergodicity and fluctuations of a fluid particle driven by diffusions with jumps. Commun. Math. Sci. 14 (2016) 327–362. | DOI | MR | Zbl

J. Picard, On the existence of smooth densities for jump processes. Probab. Theory Related Fields 105 (1996) 481–511. | DOI | MR | Zbl

J. Picard, Erratum to: On the existence of smooth densities for jump processes. Probab. Theory Related Fields 147 (2010) 711–713. | DOI | MR | Zbl

L.C.G. Rogers and D. Williams, Diffusions, Markov processes, and martingales. Vol. 2 of Cambridge Mathematical Library. Cambridge University Press, Cambridge (2000). | Zbl

N. Sandrić, Long-time behavior of stable-like processes. Stochastic Process. Appl. 123 (2013) 1276–1300. | DOI | MR | Zbl

N. Sandrić, Recurrence and transience property for a class of Markov chains. Bernoulli 19 (2013) 2167–2199. | DOI | MR | Zbl

N. Sandrić, Ergodic property of stable-like Markov chains. J. Theoret. Probab. 29 (2016) 459–490. | DOI | MR | Zbl

N. Sandrić, Recurrence and transience criteria for two cases of stable-like Markov chains. J. Theoret. Probab. 27 (2014) 754–788. | DOI | MR | Zbl

N. Sandrić, Long-time behavior for a class of feller processes. Trans. Am. Math. Soc. 368 (2016) 1871–1910. | DOI | MR | Zbl

K.-I. Sato, Lévy processes and infinitely divisible distributions. Vol. 68. Cambridge University Press, Cambridge (1999). | MR | Zbl

K.-I. Sato, T. Watanabe and M. Yamazato, Recurrence conditions for multidimensional processes of Ornstein–Uhlenbeck type. J. Math. Soc. Japan 46 (1994) 245–265. | MR | Zbl

K.-I. Sato and M. Yamazato, Operator-selfdecomposable distributions as limit distributions of processes of Ornstein-Uhlenbeck type. Stochastic Process. Appl. 17 (1984) 73–100. | DOI | MR | Zbl

R.L. Schilling, Conservativeness and extensions of feller semigroups. Positivity 2 (1998) 239–256. | DOI | MR | Zbl

R.L. Schilling, Growth and Hölder conditions for the sample paths of Feller processes. Probab. Theory Related Fields 112 (1998) 565–611. | DOI | MR | Zbl

R.L. Schilling and J. Wang, Strong Feller continuity of Feller processes and semigroups. Infin. Dimens. Anal. Quantum Probab. Relat. Top. 15 (2012) 1250010. | DOI | MR | Zbl

R.L. Schilling and J. Wang, Some theorems on Feller processes: transience, local times and ultracontractivity. Trans. Amer. Math. Soc. 365 (2013) 3255–3286. | DOI | MR | Zbl

S.-J. Sheu, Some estimates of the transition density of a nondegenerate diffusion Markov process. Ann. Probab. 19 (1991) 538–561. | MR | Zbl

T. Shiga, A recurrence criterion for Markov processes of Ornstein-Uhlenbeck type. Probab. Theory Related Fields 85 (1990) 425–447. | DOI | MR | Zbl

O. Stramer and R.L. Tweedie, Stability and instability of continuous-time Markov processes. In Probability, Statistics and Optimisation. Wiley, Chichester (1994) 173–184. | MR | Zbl

O. Stramer and R.L. Tweedie, Existence and stability of weak solutions to stochastic differential equations with non-smooth coefficients. Statist. Sinica 7 (1997) 577–593. | MR | Zbl

P. Tuominen and R.L. Tweedie, Subgeometric rates of convergence of f-ergodic Markov chains. Adv. Appl. Probab. 26 (1994) 775–798. | DOI | MR | Zbl

R.L. Tweedie, Topological conditions enabling use of Harris methods in discrete and continuous time. Acta Appl. Math. 34 (1994) 175–188. | DOI | MR | Zbl

A.Yu. Veretennikov, On polynomial mixing bounds for stochastic differential equations. Stochastic Process. Appl. 70 (1997) 115–127. | DOI | MR | Zbl

A.Yu. Veretennikov, On polynomial mixing and the rate of convergence for stochastic differential and difference equations. Theory Probab. Appl. 44 (2000) 361–374. | DOI | MR | Zbl

J. Wang, Criteria for ergodicity of Lévy type operators in dimension one. Stochastic Process. Appl. 118 (2008) 1909–1928. | DOI | MR | Zbl

I.S. Wee, Stability for multidimensional jump-diffusion processes. Stochastic Process. Appl. 80 (1999) 193–209. | DOI | MR | Zbl

I.S. Wee, Recurrence and transience for jump-diffusion processes. Stochastic Anal. Appl. 18 (2000) 1055–1064. | DOI | MR | Zbl

Cité par Sources :