2005
DOI: 10.1214/ejp.v10-297
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Existence, Uniqueness and Regularity of Parabolic SPDEs Driven by Poisson Random Measure

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Cited by 60 publications
(57 citation statements)
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“…the proof of Proposition 3.3 in [17], Theorem 3.1 in [4] for the case q < p, or Corollary C.2 in Appendix C, that for any q ∈ [1, p] there exists a constant C = C q (E) such that for each process ξ as above and for all t ≥ 0,…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…the proof of Proposition 3.3 in [17], Theorem 3.1 in [4] for the case q < p, or Corollary C.2 in Appendix C, that for any q ∈ [1, p] there exists a constant C = C q (E) such that for each process ξ as above and for all t ≥ 0,…”
Section: Resultsmentioning
confidence: 99%
“…We will prove in Appendix C, see also [17] for a different approach to this question, that there exists a unique continuous linear operator which associates with each progressively measurable process ξ :…”
Section: Resultsmentioning
confidence: 99%
“…For the stochastic integral, using the result in ( [26], Corollary 3.1, Remark 3.6 or [40], Lemma 3.1), we have the estimate…”
Section: Lemma 2 One Hasmentioning
confidence: 97%
“…But we need to estimate the fourth order moment of the stochastic integral with respect to the compensated Poisson measure. This is achieved by using the result in ( [26], Corollary 3.1, Remark 3.6 or [40], Lemma 3.1) concerning the maximal inequality for stochastic integral with respect to the compensated Poisson measure. By (9) , (10), as u ∈ L 4 (Ω; L 2 (0, T ; D(A))) and is F t -progressively measurable , then…”
Section: Lemma 2 One Hasmentioning
confidence: 99%
“…The definition of stochastic integral with respect to a compensated Poisson measure has been discussed by many authors, see for instance [1,2,3,9,14,15]. Here we limit ourselves to briefly recalling some conditions for the existence of such integrals.…”
Section: The Stochastic Convolution Processmentioning
confidence: 99%