First and second order necessary optimality conditions for controlled stochastic evolution equations with control and state constraints

The purpose of this paper is to establish first and second order necessary optimality conditions for optimal control problems of stochastic evolution equations with control and state constraints. The control acts both in the drift and diffusion terms and the control region is a nonempty closed subse...

Full description

Saved in:
Bibliographic Details
Published inJournal of Differential Equations Vol. 268; no. 6; pp. 2949 - 3015
Main Authors Frankowska, Hélène, Lü, Qi
Format Journal Article
LanguageEnglish
Published Elsevier Inc 05.03.2020
Elsevier
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The purpose of this paper is to establish first and second order necessary optimality conditions for optimal control problems of stochastic evolution equations with control and state constraints. The control acts both in the drift and diffusion terms and the control region is a nonempty closed subset of a separable Hilbert space. We employ some classical set-valued analysis tools and theories of the transposition solution of vector-valued backward stochastic evolution equations and the relaxed-transposition solution of operator-valued backward stochastic evolution equations to derive these optimality conditions. The correction part of the second order adjoint equation, which does not appear in the first order optimality condition, plays a fundamental role in the second order optimality condition.
ISSN:0022-0396
1090-2732
DOI:10.1016/j.jde.2019.09.045