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Titlebook: Stochastic Partial Differential Equations; A Modeling, White No Helge Holden,Bernt Øksendal,Tusheng Zhang Textbook 2010Latest edition Sprin

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发表于 2025-3-21 18:52:41 | 显示全部楼层 |阅读模式
书目名称Stochastic Partial Differential Equations
副标题A Modeling, White No
编辑Helge Holden,Bernt Øksendal,Tusheng Zhang
视频video
概述Focuses on the development of SPDEs and their application both to real-life problems and abstract mathematical topics.Includes new discussions of fractional Brownian motion, Lévy processes and Lévy ra
丛书名称Universitext
图书封面Titlebook: Stochastic Partial Differential Equations; A Modeling, White No Helge Holden,Bernt Øksendal,Tusheng Zhang Textbook 2010Latest edition Sprin
描述.The first edition of .Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach., gave a comprehensive introduction to SPDEs driven by space-time Brownian motion noise. In this, the second edition, the authors extend the theory to include SPDEs  driven by space-time Lévy process noise, and introduce new applications of the field...Because the authors allow the noise to be in both space and time, the solutions to SPDEs are usually of the distribution type, rather than a classical random field. To make this study rigorous and as general as possible, the discussion of SPDEs is therefore placed in the context of Hida white noise theory. The key connection between white noise theory and SPDEs is that integration with respect to Brownian random fields can be expressed as integration with respect to the Lebesgue measure of the Wick product of the integrand with Brownian white noise, and similarly with Lévy processes...The first part of the book deals with the classical Brownian motion case. The second extends it to the Lévy white noise case. For SPDEs of the Wick type, a general solution method is given by means of the Hermite transform, which turns a given S
出版日期Textbook 2010Latest edition
关键词Brownian; Burgers; Levy; Poisson; Weiner-Ito; Wick; calculus; chaos; modeling; partial differential equation;
版次2
doihttps://doi.org/10.1007/978-0-387-89488-1
isbn_softcover978-0-387-89487-4
isbn_ebook978-0-387-89488-1Series ISSN 0172-5939 Series E-ISSN 2191-6675
issn_series 0172-5939
copyrightSpringer-Verlag New York 2010
The information of publication is updating

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发表于 2025-3-21 21:42:11 | 显示全部楼层
Framework,ntation here is to a large extent influenced by ideas and methods used by the authors. In particular, we emphasize the use of multidimensional structures, i.e., the white noise we are about to consider will in general take on values in a multidimensional space and will also be indexed by amultidimensional parameter set.
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发表于 2025-3-22 06:45:54 | 显示全部楼层
Textbook 2010Latest editionPDEs driven by space-time Brownian motion noise. In this, the second edition, the authors extend the theory to include SPDEs  driven by space-time Lévy process noise, and introduce new applications of the field...Because the authors allow the noise to be in both space and time, the solutions to SPDE
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发表于 2025-3-22 13:05:23 | 显示全部楼层
Framework,tures and how constructions of this kind can be given a rigorous treatment. White noise analysis can be addressed in several different ways. The presentation here is to a large extent influenced by ideas and methods used by the authors. In particular, we emphasize the use of multidimensional structu
发表于 2025-3-22 20:06:13 | 显示全部楼层
Applications to Stochastic Ordinary Differential Equations,ns, can also be used to obtain new results – as well as new proofs of old results – for stochastic ordinary differential equations. In this chapter we will illustrate this by discussing some important examples.
发表于 2025-3-23 00:49:47 | 显示全部楼层
Helge Holden,Bernt Øksendal,Jan Ubøe,Tusheng Zhang
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