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Stochastic and infinite dimensional analysis

dc.contributor.authorBernido, Christopher C.
dc.contributor.authorCarpio-Bernido, Maria Victoria
dc.contributor.authorGrothaus, Martin
dc.contributor.authorKuna, Tobias
dc.contributor.authorOliveira, Maria João
dc.contributor.authorSilva, José Luís da
dc.date.accessioned2016-10-07T15:01:19Z
dc.date.available2016-10-07T15:01:19Z
dc.date.issued2016
dc.description.abstractThis volume presents a collection of papers covering applications from a wide range of systems with infinitely many degrees of freedom studied using techniques from stochastic and infinite dimensional analysis, e.g. Feynman path integrals, the statistical mechanics of polymer chains, complex networks, and quantum field theory. Systems of infinitely many degrees of freedom create their particular mathematical challenges which have been addressed by different mathematical theories, namely in the theories of stochastic processes, Malliavin calculus, and especially white noise analysis. These proceedings are inspired by a conference held on the occasion of Prof. Ludwig Streit’s 75th birthday and celebrate his pioneering and ongoing work in these fields.pt_PT
dc.identifier.doi10.1007/978-3-319-07245-6pt_PT
dc.identifier.isbn978-3-319-07244-9 (hardcover)
dc.identifier.isbn978-3-319-07245-6 (ebook)
dc.identifier.urihttp://hdl.handle.net/10400.2/5643
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBirkhäuserpt_PT
dc.relation.publisherversionhttp://www.springer.com/us/book/9783319072449pt_PT
dc.subjectStochastic analysispt_PT
dc.subjectWhite noise analysispt_PT
dc.subjectInfinite dimensional analysispt_PT
dc.titleStochastic and infinite dimensional analysispt_PT
dc.typebook
dspace.entity.typePublication
person.familyNameOliveira
person.givenNameMaria João
person.identifier.ciencia-idDD1B-3964-2168
person.identifier.orcid0000-0002-4027-9849
person.identifier.scopus-author-id24473078000
rcaap.rightsrestrictedAccesspt_PT
rcaap.typebookpt_PT
relation.isAuthorOfPublication73548978-4e91-4a20-bc3c-c62106297626
relation.isAuthorOfPublication.latestForDiscovery73548978-4e91-4a20-bc3c-c62106297626

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