Stochastic Partial Differential Equations and Related Fields - In Honor of Michael Roeckner SPDERF, Bielefeld, Germany, October 10 -14, 2016 (Hardcover, 1st ed. 2018)

This Festschrift contains five research surveys and thirty-four shorter contributions by participants of the conference ''Stochastic Partial Differential Equations and Related Fields'' hosted by the Faculty of Mathematics at Bielefeld University, October 10-14, 2016. The conference, attended by more than 140 participants, including PostDocs and PhD students, was held both to honor Michael Roeckner's contributions to the field on the occasion of his 60th birthday and to bring together leading scientists and young researchers to present the current state of the art and promising future developments. Each article introduces a well-described field related to Stochastic Partial Differential Equations and Stochastic Analysis in general. In particular, the longer surveys focus on Dirichlet forms and Potential theory, the analysis of Kolmogorov operators, Fokker-Planck equations in Hilbert spaces, the theory of variational solutions to stochastic partial differential equations, singular stochastic partial differential equations and their applications in mathematical physics, as well as on the theory of regularity structures and paracontrolled distributions. The numerous research surveys make the volume especially useful for graduate students and researchers who wish to start work in the above-mentioned areas, or who want to be informed about the current state of the art.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Mathematics & Statistics, 229
Release date:	July 2018
First published:	2018
Editors:	Andreas Eberle • Martin Grothaus • Walter Hoh • Moritz Kassmann • Wilhelm Stannat • Gerald Trutnau
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	574
Edition:	1st ed. 2018
ISBN-13:	978-3-319-74928-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-319-74928-5
Barcode:	9783319749280

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