Existence and uniqueness of solutions of stochastic functional differential equations

dc.contributor.authorRenesse, Max-K. von
dc.contributor.authorScheutzow, Michael
dc.date.accessioned2017-11-30T10:20:05Z
dc.date.available2017-11-30T10:20:05Z
dc.date.issued2010
dc.descriptionDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.de
dc.descriptionThis publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.en
dc.description.abstractUsing a variant of the Euler–Maruyama scheme for stochastic functional differential equations with bounded memory driven by Brownian motion we show that only weak one-sided local Lipschitz (or “monotonicity”) conditions are sufficient for local existence and uniqueness of strong solutions. In case of explosion the method yields the maximal solution up to the explosion time. We also provide a weak growth condition which prevents explosions to occur. In an appendix we formulate and prove four lemmas which may be of independent interest: three of them can be viewed as rather general stochastic versions of Gronwall's Lemma, the final one provides tail bounds for Hölder norms of stochastic integrals.en
dc.description.sponsorshipDFG, FOR 718, Analysis and stochastics in complex physical systemsen
dc.identifier.eissn1569-397X
dc.identifier.issn0926-6364
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7235
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6511
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc510 Mathematik
dc.subject.otherstochastic functional differential equationen
dc.subject.otherexistence of solutionen
dc.subject.othermaximal solutionen
dc.subject.otheruniqueness of solutionen
dc.subject.otherDereich lemmaen
dc.subject.otherstochastic Gronwall lemmaen
dc.titleExistence and uniqueness of solutions of stochastic functional differential equationsen
dc.typeArticle
dc.type.versionpublishedVersion
dcterms.bibliographicCitation.doi10.1515/rose.2010.015
dcterms.bibliographicCitation.issue3
dcterms.bibliographicCitation.journaltitleRandom operators and stochastic equations
dcterms.bibliographicCitation.originalpublishernameDe Gruyter
dcterms.bibliographicCitation.originalpublisherplaceBerlin [u.a.]
dcterms.bibliographicCitation.pageend284
dcterms.bibliographicCitation.pagestart267
dcterms.bibliographicCitation.volume18
tub.accessrights.dnbdomain
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Mathematik::FG Stochastische Analysisde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.groupFG Stochastische Analysisde
tub.affiliation.instituteInst. Mathematikde
tub.publisher.universityorinstitutionTechnische Universität Berlin

Files

Original bundle
Now showing 1 - 1 of 1
Loading…
Thumbnail Image
Name:
rose.2010.015.pdf
Size:
256.8 KB
Format:
Adobe Portable Document Format

Collections