2012
DOI: 10.1016/j.spa.2011.10.003
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Exponential ergodicity and regularity for equations with Lévy noise

Abstract: We prove exponential convergence to the invariant measure, in the total variation norm, for solutions of SDEs driven by α-stable noises in finite and in infinite dimensions. Two approaches are used. The first one is based on Harris theorem, and the second on Doeblin's coupling argument [10]. Irreducibility, Lyapunov function techniques, and uniform strong Feller property play an essential role in both approaches. We concentrate on two classes of Markov processes: solutions of finite-dimensional equations, intr… Show more

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Cited by 58 publications
(65 citation statements)
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“…Now we derive that for any real number R > 0, t > 0 there exists a constant K such that sup n∈N, x∈H n |x|≤1 [48]. Let δ the constant given in Proposition 5.1.…”
Section: Lemma 53mentioning
confidence: 97%
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“…Now we derive that for any real number R > 0, t > 0 there exists a constant K such that sup n∈N, x∈H n |x|≤1 [48]. Let δ the constant given in Proposition 5.1.…”
Section: Lemma 53mentioning
confidence: 97%
“…To prove our results we were inspired by [46,48] and [49], which treated stable processes driven SPDEs with bounded nonlinearity which does not include the examples we treat in this paper. It is clear from the sketch of our results and the assumptions on our driving noise that irreducibility and ergodicity for 2D Navier-Stokes, Magnetohydrodynamics equations and the 3-dimensional Leray-α driven by stable processes do not follow from our results and are still an open problem.…”
Section: Du(t) + [κAu(t) + B(u(t) U(t))]dtmentioning
confidence: 99%
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“…Since Q is nondegenerate and the jump noise coefficient is independent of the state, ( P ) ≥0 has a unique invariant measure (see [1,37]). By Dynkin's formula, we have…”
Section: Invariant Measures and Ergodicit Ymentioning
confidence: 99%