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dc.date.accessioned2013-03-12T08:19:45Z
dc.date.available2013-03-12T08:19:45Z
dc.date.issued2002en_US
dc.date.submitted2010-02-15en_US
dc.identifier.urihttp://hdl.handle.net/10852/10685
dc.description.abstractIn this paper we develop a white noise framework for the study of stochastic partial differential equations driven by a d-parameter (pure jump) Lévy white noise. As an example we use this theory to solve the stochastic Poisson equation with respect to Lévy white noise. The starting point of our theory is a chaos expansion in terms of generalized Charlier polynomials. Based on this expansion we define Kondratiev spaces and the Lévy Hermite transform. Key words and phrases: Lévy processes, white noise analysis, stochastic partial differential equationseng
dc.language.isoengen_US
dc.publisherMatematisk Institutt, Universitetet i Oslo
dc.relation.ispartofPreprint series. Pure mathematics http://urn.nb.no/URN:NBN:no-8076en_US
dc.relation.urihttp://urn.nb.no/URN:NBN:no-8076
dc.rights© The Author(s) (2002). This material is protected by copyright law. Without explicit authorisation, reproduction is only allowed in so far as it is permitted by law or by agreement with a collecting society.
dc.titleStochastic Partial Differential Equations driven by Lévy Space-Time White Noiseen_US
dc.typeResearch reporten_US
dc.date.updated2010-02-15en_US
dc.rights.holderCopyright 2002 The Author(s)
dc.creator.authorLøkka, Arneen_US
dc.creator.authorØksendal, Bernten_US
dc.creator.authorProske, Franken_US
dc.subject.nsiVDP::410en_US
dc.identifier.urnURN:NBN:no-24245en_US
dc.type.documentForskningsrapporten_US
dc.identifier.duo99309en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/10685/1/pm18-02.pdf


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