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2021
DOI: 10.3934/dcds.2020383
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Non-autonomous stochastic evolution equations with nonlinear noise and nonlocal conditions governed by noncompact evolution families

Abstract: In this paper, we investigate the non-autonomous stochastic evolution equations of parabolic type with nonlinear noise and nonlocal initial conditions in Hilbert spaces, where the operators in linear part depend on time t and generate an noncompact evolution family. New existence result of mild solutions is established under some weaker growth and measure of noncompactness conditions on nonlinear functions and nonlocal term. The discussions are based on Sadovskii's fixed-point theorem as well as the theory of … Show more

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Cited by 9 publications
(1 citation statement)
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“…In recent years, more and more mathematicians have paid attention to the qualitative study of solutions of semilinear stochastic evolution equations(see [3,16,17,36] and the references therein). Very recently, in [7,10,11], Chen and Zhang investigated the non-autonomous stochastic evolution equations with nonlinear noise and nonlocal initial conditions, and obtained the existence results of mild solutions under some weaker growth conditions on nonlinear functions. It is also worth noting that in [8], Chen et al established a sufficient condition to judge the relative compactness of abstract continuous function families on infinite intervals.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, more and more mathematicians have paid attention to the qualitative study of solutions of semilinear stochastic evolution equations(see [3,16,17,36] and the references therein). Very recently, in [7,10,11], Chen and Zhang investigated the non-autonomous stochastic evolution equations with nonlinear noise and nonlocal initial conditions, and obtained the existence results of mild solutions under some weaker growth conditions on nonlinear functions. It is also worth noting that in [8], Chen et al established a sufficient condition to judge the relative compactness of abstract continuous function families on infinite intervals.…”
Section: Introductionmentioning
confidence: 99%