Abstract:Abstract. We study the asymptotic behavior of solutions to stochastic evolution equations with monotone drift and multiplicative Poisson noise in the variational setting, thus covering a large class of (fully) nonlinear partial differential equations perturbed by jump noise. In particular, we provide sufficient conditions for the existence, ergodicity, and uniqueness of invariant measures. Furthermore, under mild additional assumptions, we prove that the Kolmogorov equation associated to the stochastic equatio… Show more
“…Although the existence of invariant probability measures for SDEs with jumps has been investigated in the literature, we did not find any existing result which directly applies to the framework in Theorem 1.1. For instance, in [2,Theorem 4.5] it is assumed that R d |z| 2 ν(dz) < ∞, while in [1] the Lévy process is assumed to be the α-stable process and b(x) is a perturbation by −γx for some constant γ > 0, see also [7,8] for the study of semilinear SPDEs with jump. We aim to present a new result which is sharp in terms of the Lévy measure and, in particular, implies the existence of invariant probability measure in the situation of Theorem 1.1 (2).…”
By using the Φ-entropy inequality derived in [14,3] for Poisson measures, the same type of inequality is established for a class of stochastic differential equations driven by purely jump Lévy processes. The semigroup Φ-entropy inequality for SDEs driven by Poisson point processes as well as a sharp result on the existence of invariant probability measures are also presented.
“…Although the existence of invariant probability measures for SDEs with jumps has been investigated in the literature, we did not find any existing result which directly applies to the framework in Theorem 1.1. For instance, in [2,Theorem 4.5] it is assumed that R d |z| 2 ν(dz) < ∞, while in [1] the Lévy process is assumed to be the α-stable process and b(x) is a perturbation by −γx for some constant γ > 0, see also [7,8] for the study of semilinear SPDEs with jump. We aim to present a new result which is sharp in terms of the Lévy measure and, in particular, implies the existence of invariant probability measure in the situation of Theorem 1.1 (2).…”
By using the Φ-entropy inequality derived in [14,3] for Poisson measures, the same type of inequality is established for a class of stochastic differential equations driven by purely jump Lévy processes. The semigroup Φ-entropy inequality for SDEs driven by Poisson point processes as well as a sharp result on the existence of invariant probability measures are also presented.
“…For this reason, questions such as ergodicity and existence of invariant measures for (1.1) cannot be addressed using the results by Barbu and Da Prato in [3], which appear to be the only ones available for equations in the variational setting (cf. also [15]). On the other hand, there is a very vast literature on these problems for equations cast in the mild setting, references to which can be found, for instance, in [6,7,17].…”
We prove existence of invariant measures for the Markovian semigroup generated by the solution to a parabolic semilinear stochastic PDE whose nonlinear drift term satisfies only a kind of symmetry condition on its behavior at infinity, but no restriction on its growth rate is imposed. Thanks to strong integrability properties of invariant measures µ, solvability of the associated Kolmogorov equation in L 1 (µ) is then established, and the infinitesimal generator of the transition semigroup is identified as the closure of the Kolmogorov operator.A key role is played by a generalized variational setting.
“…A stochastic variational inequality (SVI) approach to stochastic fast diffusion equations has been developed in [30] and their ergodicity has been considered in [10, 32, 49-51, 66, 67]. The case of stochastic degenerate p-Laplace equations, that is for p > 2, has been investigated in [9,31,47,53,57,[65][66][67] and ergodicity for stochastic porous media equations has been obtained in [8,9,19,20,34,43,47,54,57,64,65].…”
Abstract. Ergodicity for local and nonlocal stochastic singular p-Laplace equations is proven, without restriction on the spatial dimension and for all
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