2019
DOI: 10.1002/oca.2512
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A class of stochastic hyperbolic evolution equations via weighted pseudo almost periodic coefficients and optimal controls

Abstract: Summary This paper introduces the concept of the piecewise weighted pseudo periodicity for stochastic processes. In addition, it establishes a new composition theorem for weighted pseudo almost periodic functions under the non‐Lipschitz conditions. Using this composition theorem, evolution family together with a fixed‐point theorem for condensing maps, we investigate the existence of  p‐mean piecewise weighted pseudo almost periodic mild solutions and optimal mild solutions for a class of impulsive stochastic … Show more

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Cited by 2 publications
(1 citation statement)
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“…In [28], the authors introduced the concept of square-mean piecewise almost periodic functions for impulsive stochastic processes, and studied the existence and stability of square-mean piecewise almost periodic solutions for linear and nonlinear impulsive stochastic differential equations. Furthermore, Yan et al [31][32][33][34] discussed the square-mean piecewise pseudo almost periodic solutions and the square-mean piecewise weighted pseudo almost periodic solutions for impulsive stochastic evolution equations. However, there are few studies on the square-mean piecewise almost automorphic solutions of impulsive stochastic evolution equations.…”
Section: Introductionmentioning
confidence: 99%
“…In [28], the authors introduced the concept of square-mean piecewise almost periodic functions for impulsive stochastic processes, and studied the existence and stability of square-mean piecewise almost periodic solutions for linear and nonlinear impulsive stochastic differential equations. Furthermore, Yan et al [31][32][33][34] discussed the square-mean piecewise pseudo almost periodic solutions and the square-mean piecewise weighted pseudo almost periodic solutions for impulsive stochastic evolution equations. However, there are few studies on the square-mean piecewise almost automorphic solutions of impulsive stochastic evolution equations.…”
Section: Introductionmentioning
confidence: 99%