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Stochastic Partial Differential Equations and Related Fields - In Honor of Michael Roeckner SPDERF, Bielefeld, Germany, October 10 -14, 2016 (Hardcover, 1st ed. 2018)
Andreas Eberle, Martin Grothaus, Walter Hoh, Moritz Kassmann, Wilhelm Stannat, …
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R4,119
Discovery Miles 41 190
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Ships in 18 - 22 working days
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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.
This book provides analytic tools to describe local and global
behavior of solutions to Ito-stochastic differential equations with
non-degenerate Sobolev diffusion coefficients and locally
integrable drift. Regularity theory of partial differential
equations is applied to construct such solutions and to obtain
strong Feller properties, irreducibility, Krylov-type estimates,
moment inequalities, various types of non-explosion criteria, and
long time behavior, e.g., transience, recurrence, and convergence
to stationarity. The approach is based on the realization of the
transition semigroup associated with the solution of a stochastic
differential equation as a strongly continuous semigroup in the
Lp-space with respect to a weight that plays the role of a
sub-stationary or stationary density. This way we obtain in
particular a rigorous functional analytic description of the
generator of the solution of a stochastic differential equation and
its full domain. The existence of such a weight is shown under
broad assumptions on the coefficients. A remarkable fact is that
although the weight may not be unique, many important results are
independent of it. Given such a weight and semigroup, one can
construct and further analyze in detail a weak solution to the
stochastic differential equation combining variational techniques,
regularity theory for partial differential equations, potential,
and generalized Dirichlet form theory. Under classical-like or
various other criteria for non-explosion we obtain as one of our
main applications the existence of a pathwise unique and strong
solution with an infinite lifetime. These results substantially
supplement the classical case of locally Lipschitz or monotone
coefficients.We further treat other types of uniqueness and
non-uniqueness questions, such as uniqueness and non-uniqueness of
the mentioned weights and uniqueness in law, in a certain sense, of
the solution.
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Stochastic Partial Differential Equations and Related Fields - In Honor of Michael Roeckner SPDERF, Bielefeld, Germany, October 10 -14, 2016 (Paperback, Softcover reprint of the original 1st ed. 2018)
Andreas Eberle, Martin Grothaus, Walter Hoh, Moritz Kassmann, Wilhelm Stannat, …
|
R3,617
Discovery Miles 36 170
|
Ships in 18 - 22 working days
|
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.
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