2005
DOI: 10.1007/s00440-004-0421-4
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Stabilization by noise for a class of stochastic reaction-diffusion equations

Abstract: We prove uniqueness, ergodicity and strongly mixing property of the invariant measure for a class of stochastic reaction-diffusion equations with multiplicative noise, in which the diffusion term in front of the noise may vanish and the deterministic part of the equation is not necessary asymptotically stable. To this purpose, we show that the L 1 -norm of the difference of two solutions starting from any two different initial data converges P-a.s. to zero, as time goes to infinity.

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Cited by 31 publications
(20 citation statements)
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“…However, the results obtained here are essentially stochastic not only because the stabilizable controller arises as multiplicative term of a Brownian N -dimensional motion but mainly because the asymptotic nature of stabilization results as well as the stochastic approach have no analogue in deterministic stabilization technique. As a matter of fact, it was known long time ago that one might use the multiplicative noise to stabilize differential systems (see [3]) and more recent results in this direction can be found in [1,2,[7][8][9]19]. (See also [11] for related results.)…”
Section: ∇)X) D(a) = D(a)mentioning
confidence: 99%
“…However, the results obtained here are essentially stochastic not only because the stabilizable controller arises as multiplicative term of a Brownian N -dimensional motion but mainly because the asymptotic nature of stabilization results as well as the stochastic approach have no analogue in deterministic stabilization technique. As a matter of fact, it was known long time ago that one might use the multiplicative noise to stabilize differential systems (see [3]) and more recent results in this direction can be found in [1,2,[7][8][9]19]. (See also [11] for related results.)…”
Section: ∇)X) D(a) = D(a)mentioning
confidence: 99%
“…In the case of the stochastic reaction diffusion equation, equation (1.1) is mostly considered in a suitable chosen Banach space of continuous functions, see [10,6,7,8,14]. It is our main goal in this work to make optimal use of the regularity of the linear part of (1.1).…”
Section: Introductionmentioning
confidence: 99%
“…8,2008 By assumption, the right hand side converges to zero as N, M tend to infinity, so that W N A (t)(ω) converges in V γ locally uniformly. The limit W A (t)(ω) is therefore continuous on V γ .…”
mentioning
confidence: 99%
“…(see [12] for a proof and see also [5] for an analogous result for equations with non-Lipschitz coefficients). Therefore, as…”
Section: )mentioning
confidence: 99%