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Large deviations for the invariant measure of a reaction-diffusion equation with non-Gaussian perturbations
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  • Published: September 1992

Large deviations for the invariant measure of a reaction-diffusion equation with non-Gaussian perturbations

  • Richard Sowers1 

Probability Theory and Related Fields volume 92, pages 393–421 (1992)Cite this article

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Summary

In this paper we establish a large deviations principle for the invariant measure of the non-Gaussian stochastic partial differential equation (SPDE) ∂ t v ε=ℒv ε+f(x,v ε)+εσ(x,v ε)\(\ddot W_{tx} \). Here ℒ is a strongly-elliptic second-order operator with constant coefficients, ℒh:=DH xx-αh, and the space variablex takes values on the unit circleS 1. The functionsf and σ are of sufficient regularity to ensure existence and uniqueness of a solution of the stochastic PDE, and in particular we require that 0<m≦σ≦M wherem andM are some finite positive constants. The perturbationW is a Brownian sheet. It is well-known that under some simple assumptions, the solutionv 2 is aC k(S 1)-valued Markov process for each 0≦κ<1/2, whereC κ(S 1) is the Banach space of real-valued continuous functions onS 1 which are Hölder-continuous of exponent κ. We prove, under some further natural assumptions onf and σ which imply that the zero element ofC κ(S 1) is a globally exponentially stable critical point of the unperturbed equation ∂ t υ0 = ℒυ0 +f(x,υ0), that υε has a unique stationary distributionv K, υ on (C κ(S 1), ℬ(C K(S 1))) when the perturbation parameter ε is small enough. Some further calculations show that as ε tends to zero,v K, υ tends tov K,0, the point mass centered on the zero element ofC κ(S 1). The main goal of this paper is to show that in factv K, υ is governed by a large deviations principle (LDP). Our starting point in establishing the LDP forv K, υ is the LDP for the process υε, which has been shown in an earlier paper. Our methods of deriving the LDP forv K, υ based on the LDP for υε are slightly non-standard compared to the corresponding proofs for finite-dimensional stochastic differential equations, since the state spaceC κ(S 1) is inherently infinite-dimensional.

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Authors and Affiliations

  1. Center for Applied Mathematical Sciences, University of Southern California, 90089-1113, Los Angeles, CA, USA

    Richard Sowers

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  1. Richard Sowers
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Additional information

This work was performed while the author was with the Department of Mathematics, University of Maryland, College Park, MD 20742, USA

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Sowers, R. Large deviations for the invariant measure of a reaction-diffusion equation with non-Gaussian perturbations. Probab. Th. Rel. Fields 92, 393–421 (1992). https://doi.org/10.1007/BF01300562

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  • Received: 17 April 1990

  • Revised: 21 November 1991

  • Issue Date: September 1992

  • DOI: https://doi.org/10.1007/BF01300562

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Mathematics Subject Classifications (1985)

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  • 60H15
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