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Almost Automorphic Solutions to Nonautonomous Stochastic Functional Integrodifferential Equations
Author(s) -
Xiliang Li,
Han Yuliang
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/473969
Subject(s) - mathematics , uniqueness , banach space , mean square , mathematical analysis , separable space , contraction principle , stochastic differential equation , contraction mapping , stability (learning theory) , hilbert space , fixed point theorem , machine learning , computer science
This paper concerns the square-mean almost automorphic solutions to a class of abstract semilinear nonautonomous functional integrodifferential stochastic evolution equations in real separable Hilbert spaces. Using the so-called “Acquistapace-Terreni” conditions and Banach contraction principle, the existence, uniqueness, and asymptotical stability results of square-mean almost automorphic mild solutions to such stochastic equations are established. As an application, square-mean almost automorphic solution to a concrete nonautonomous integro-differential stochastic evolution equation is analyzed to illustrate our abstract results

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