2009
DOI: 10.1016/j.spa.2008.08.009
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Martingale solutions and Markov selections for stochastic partial differential equations

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Cited by 73 publications
(131 citation statements)
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“…In the two dimensional case existence and uniqueness of strong solutions have been obtained if the noisy forcing term is white in time and colored in space. In the three dimensional case, existence of martingale (=probabilistic weak) solutions, which form a Markov selection, have been constructed for the stochastic 3D Navier-Stokes equation driven by trace-class noise in [10], [7], [13]. Furthermore, the ergodicity has been obtained for every Markov selection of the martingale solutions if driven by non-degenerate trace-class noise (see [10]).…”
Section: Introductionmentioning
confidence: 99%
“…In the two dimensional case existence and uniqueness of strong solutions have been obtained if the noisy forcing term is white in time and colored in space. In the three dimensional case, existence of martingale (=probabilistic weak) solutions, which form a Markov selection, have been constructed for the stochastic 3D Navier-Stokes equation driven by trace-class noise in [10], [7], [13]. Furthermore, the ergodicity has been obtained for every Markov selection of the martingale solutions if driven by non-degenerate trace-class noise (see [10]).…”
Section: Introductionmentioning
confidence: 99%
“…where Φ is given by (13). Thanks to h ∈ A T M , i.e., T 0 h (s, ω) 2 l 2 ds M , by Girsanov's theorem, u solves the following control equation:…”
Section: Proof Of Theorem 23mentioning
confidence: 99%
“…Note that the law of h is just ν(·, C T (U)). By Skorohod's representation 13 theorem, there are random variablesh k ,W k , k ∈ N andh,W on a probability space (Ω,P ) such that (1) (h k ,W k ) a.s. converges to (h,W ) in D N × C T (U); (2) (h k ,W k ) has the same law as (h k , W ) for each k ∈ N; (3) The law of {h,W } is ν, and the law of h is the same ash. We remark that in the proof of Lemma 3.3, one can replace (h k , W ) by (h k ,W k ).…”
Section: Proof Of Theorem 23mentioning
confidence: 99%
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