2012
DOI: 10.1214/10-aop626
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Stochastic maximal Lp-regularity

Abstract: In this article we prove a maximal L p -regularity result for stochastic convolutions, which extends Krylov's basic mixed L p (L q )-inequality for the Laplace operator on R d to large classes of elliptic operators, both on R d and on bounded domains in R d with various boundary conditions. Our method of proof is based on McIntosh's H ∞functional calculus, R-boundedness techniques and sharp L p (L q )square function estimates for stochastic integrals in L q -spaces. Under an additional invertibility assumption… Show more

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Cited by 100 publications
(155 citation statements)
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“…Let (Ω, A, P) be a probability space with the filtration F = (F t ) t≥0 , and take W H (t), t ≥ 0, to be a cylindrical F-Brownian motion on the separable Hilbert space H. The stochastic integral with respect to W H on the right side of (1.1) is an L q (O; R)-valued random variable as 1 2 defined, e.g., in [7,Sec. 2.1].…”
Section: Introductionmentioning
confidence: 99%
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“…Let (Ω, A, P) be a probability space with the filtration F = (F t ) t≥0 , and take W H (t), t ≥ 0, to be a cylindrical F-Brownian motion on the separable Hilbert space H. The stochastic integral with respect to W H on the right side of (1.1) is an L q (O; R)-valued random variable as 1 2 defined, e.g., in [7,Sec. 2.1].…”
Section: Introductionmentioning
confidence: 99%
“…Our result in this paper relies strongly on the deep approach of the recent paper [7], concerned with maximal regularity of (1.1) in the differential equation case, i.e., α = β = 1. In fact, the major part of the proof of [7] can be adapted almost without changes to apply to (1.1).…”
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confidence: 97%
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