2018
DOI: 10.1214/17-aihp863
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Local large deviations principle for occupation measures of the stochastic damped nonlinear wave equation

Abstract: We consider the damped nonlinear wave (NLW) equation driven by a spatially regular white noise. Assuming that the noise is non-degenerate in all Fourier modes, we establish a large deviations principle (LDP) for the occupation measures of the trajectories. The lower bound in the LDP is of a local type, which is related to the weakly dissipative nature of the equation and seems to be new in the context of randomly forced PDE's. The proof is based on an extension of methods developed in [JNPS] and [JNPS14] in th… Show more

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Cited by 10 publications
(19 citation statements)
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“…where P N is the orthogonal projection in H onto the space H N defined by (1.11). The following result is a version of the Foiaş-Prodi estimate obtained in [FP67]; see also [KS12, Section 2.1.8] for a similar result for the Navier-Stokes system (with different equation instead of (6.2)) and [MN18a,Section 7.3] for the damped nonlinear wave equation.…”
Section: The Foiaş-prodi Estimatementioning
confidence: 57%
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“…where P N is the orthogonal projection in H onto the space H N defined by (1.11). The following result is a version of the Foiaş-Prodi estimate obtained in [FP67]; see also [KS12, Section 2.1.8] for a similar result for the Navier-Stokes system (with different equation instead of (6.2)) and [MN18a,Section 7.3] for the damped nonlinear wave equation.…”
Section: The Foiaş-prodi Estimatementioning
confidence: 57%
“…The proofs of these papers are based on a Kifer type criterion for LDP and a study of the large-time behaviour of generalised Markov semigroups. These results have been later extended in [MN18a] to the case of the stochastic damped nonlinear wave equation driven by a spatially regular white noise. The main result of that paper is an LDP of local type.…”
Section: Introductionmentioning
confidence: 88%
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“…This type of results were first obtained by Donsker and Varadhan in the case of finite-dimensional diffusion processes [DV75] and later extended to many other situations. In the context of the Navier-Stokes equations, the theory was developed in the case of random kicks [JNPS15, JNPS17] (see also the recent papers [MN17,Ner17] devoted to spatially regular white noise), and we now describe the main achievements.…”
Section: Donsker-varadhan Type Large Deviationsmentioning
confidence: 99%