2020
DOI: 10.48550/arxiv.2011.14587
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Discretization of a distributed optimal control problem with a stochastic parabolic equation driven by multiplicative noise

Abstract: A discretization of an optimal control problem of a stochastic parabolic equation driven by multiplicative noise is analyzed. The state equation is discretized by the continuous piecewise linear element method in space and by the backward Euler scheme in time. The convergence rate O(τ 1/2 +h 2 ) is rigorously derived.

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Cited by 2 publications
(6 citation statements)
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“…Thirdly, let us derive a first order optimality condition of problem (12). Following the proof of [8,Lemma 4.19], we can easily obtain that, for any…”
Section: Proofsmentioning
confidence: 99%
See 4 more Smart Citations
“…Thirdly, let us derive a first order optimality condition of problem (12). Following the proof of [8,Lemma 4.19], we can easily obtain that, for any…”
Section: Proofsmentioning
confidence: 99%
“…In this section, we will use the ideas in [8] to prove Theorem 3.1. For convenience, we use the following conventions: J > 2 and τ < 2/5; δW j := W (t j+1 ) − W (t j ) for all 0 j < J; the norm • L 2 (Ω;L 2 (0,T ;L 2 (O))) is abbreviated to • ; Q h be the L 2 (O)-orthogonal projection operator onto V h ; I means the identity mapping; a b means a Cb, where C is a generic positive constant, independent of h and τ , and its value may differ in different places.…”
Section: Proofsmentioning
confidence: 99%
See 3 more Smart Citations