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Amplitude equations for stochastic partial differential equations
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ISBN: 128112172X 9786611121723 9812770607 9789812770608 9789812706379 9812706372 Year: 2007 Volume: v. 3 Publisher: Hackensack, NJ World Scientific

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Abstract

Rigorous error estimates for amplitude equations are well known for deterministic PDEs, and there is a large body of literature over the past two decades. However, there seems to be a lack of literature for stochastic equations, although the theory is being successfully used in the applied community, such as for convective instabilities, without reliable error estimates at hand. This book is the first step in closing this gap. The author provides details about the reduction of dynamics to more simpler equations via amplitude or modulation equations, which relies on the natural separation of ti

Stochastic partial differential equations /.
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ISBN: 9781584884439 1584884436 0367453126 0429101112 0429147031 1466579552 1466579579 9780429147036 Year: 2007 Publisher: Boca Raton Taylor & Francis

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Filling the void of an introductory text in the field, this book highlights several computational and analytical techniques involved in stochastic PDEs. It includes many challenging problems in stochastic analysis and treats stochastic PDEs in a practical way. The author first brings the subject back to its root in classical concrete problems. He then discusses a unified theory of stochastic evolution equations and describes a few applied problems, including the random vibration of a nonlinear elastic beam and invariant measures for stochastic Navier-Stokes equations. The book concludes by pointing out the connection of stochastic PDEs to infinite-dimensional stochastic analysis.

Stochastic partial differential equations with Lévy noise
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ISBN: 9780521879897 0521879892 9780511721373 9781107089754 1107089751 9781107096059 1107096057 1139883437 9781139883436 1107101654 9781107101654 1107104084 9781107104082 0511721374 Year: 2007 Volume: v. 113 Publisher: Cambridge

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Abstract

Recent years have seen an explosion of interest in stochastic partial differential equations where the driving noise is discontinuous. In this comprehensive monograph, two leading experts detail the evolution equation approach to their solution. Most of the results appeared here for the first time in book form. The authors start with a detailed analysis of Lévy processes in infinite dimensions and their reproducing kernel Hilbert spaces; cylindrical Lévy processes are constructed in terms of Poisson random measures; stochastic integrals are introduced. Stochastic parabolic and hyperbolic equations on domains of arbitrary dimensions are studied, and applications to statistical and fluid mechanics and to finance are also investigated. Ideal for researchers and graduate students in stochastic processes and partial differential equations, this self-contained text will also interest those working on stochastic modeling in finance, statistical physics and environmental science.

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