2019
DOI: 10.3934/dcdsb.2018251
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Smoothing dynamics of the non-autonomous stochastic Fitzhugh-Nagumo system on $\mathbb{R}^N$ driven by multiplicative noises

Abstract: In this article, we study the dynamical behaviour of solutions of the non-autonomous stochastic Fitzhugh-Nagumo system on R N with both multiplicative noises and non-autonomous forces, where the nonlinearity is a polynomial-like growth function of arbitrary order. An asymptotic smoothing effect of this system is demonstrated, namely, that the random pullback attractor in the initial space L 2 (R N) × L 2 (R N) is actually a compact, measurable and attracting set in H 1 (R N) × L 2 (R N). A difference estimates… Show more

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Cited by 6 publications
(6 citation statements)
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“…Recently, properties and optimal control of stochastic FHN (SFHN) models are extensively studied only in the finite dimensional space (see the references [10][11][12][13][14][15][16] ). In specific, the solvability and optimal control of SFHN model is studied by Barbu et al 17 ; optimal control of SFHN model with nonlinear diffusion term is studied by Cordoni and Di Persio 18 via rescaling transformation, Ekeland's variational principle, and big-bang optimal control theory.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, properties and optimal control of stochastic FHN (SFHN) models are extensively studied only in the finite dimensional space (see the references [10][11][12][13][14][15][16] ). In specific, the solvability and optimal control of SFHN model is studied by Barbu et al 17 ; optimal control of SFHN model with nonlinear diffusion term is studied by Cordoni and Di Persio 18 via rescaling transformation, Ekeland's variational principle, and big-bang optimal control theory.…”
Section: Introductionmentioning
confidence: 99%
“…The proof was based on an abstract invariant manifold theorem for dynamical systems on a Banach space. Note that in [21][22][23], the spectral gap condition may fail and the so-called spatial averaging principle (PSA) is used to construct the manifolds. Now, let us return to (1.1).…”
Section: Introductionmentioning
confidence: 99%
“…The continuity of random attractors includes both upper and lower semi-continuities. The upper semi-continuity describes the nonexplosive phenomenon, which is expected to hold widely, see the abstract results in [5,29,31] and many applications in [7,16,17,18,20,35,38,42,43]. The lower semi-continuity describes the non-implosive phenomenon, which is extremely hard to prove in partial differential equations (PDE) as pointed out by Carvalho et al [6, page 65].…”
mentioning
confidence: 99%