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Titlebook: Stochastic Integration and Differential Equations; Philip E. Protter Book 2005Latest edition Springer-Verlag Berlin Heidelberg 2005 Browni

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发表于 2025-3-21 18:31:28 | 显示全部楼层 |阅读模式
书目名称Stochastic Integration and Differential Equations
编辑Philip E. Protter
视频video
概述Exercises for solution added.Includes supplementary material:
丛书名称Stochastic Modelling and Applied Probability
图书封面Titlebook: Stochastic Integration and Differential Equations;  Philip E. Protter Book 2005Latest edition Springer-Verlag Berlin Heidelberg 2005 Browni
描述.It has been 15 years since the first edition of. Stochastic Integration and Differential Equations., .A New Approach. appeared, and in those years many other texts on the same subject have been published, often with connections to applications, especially mathematical finance. Yet in spite of the apparent simplicity of approach, none of these books has used the functional analytic method of presenting semimartingales and stochastic integration. Thus a 2nd edition seems worthwhile and timely, though it is no longer appropriate to call it "a new approach". . . .The .new edition. has several significant changes, most prominently the addition of exercises for solution. These are intended to supplement the text, but lemmas needed in a proof are never relegated to the exercises. Many of the exercises have been tested by graduate students at Purdue and Cornell Universities. Chapter 3 has been completely redone, with a new, more intuitive and simultaneously elementary proof of the fundamental Doob-Meyer decomposition theorem, the more general version of the Girsanov theorem due to Lenglart, the Kazamaki-Novikov criteria for exponential local martingales to be martingales, and a modern tre
出版日期Book 2005Latest edition
关键词Brownian motion; Girsanov theorem; Martingale; Poisson process; Semimartingale; filtration; local martinga
版次2
doihttps://doi.org/10.1007/978-3-662-10061-5
isbn_softcover978-3-642-05560-7
isbn_ebook978-3-662-10061-5Series ISSN 0172-4568 Series E-ISSN 2197-439X
issn_series 0172-4568
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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Semimartingales and Decomposable Processes,pted processes with left continuous, right-limited paths. Such a space of integrands suffices to establish a change of variables formula (or “Itô’s formula”), and it also suffices for many applications, such as the study of stochastic differential equations. Nevertheless the space L is not general e
发表于 2025-3-22 06:06:50 | 显示全部楼层
General Stochastic Integration and Local Times,ess an integral as a limit of sums requires some path smoothness of the integrands and we limited our attention to processes in L, the space of adapted processes with paths that are left continuous and have right limits The space L is sufficient to prove Itô’s formula, the Girsanov-Meyer Theorem, an
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General Stochastic Integration and Local Times,d processes with paths that are left continuous and have right limits The space L is sufficient to prove Itô’s formula, the Girsanov-Meyer Theorem, and it also suffices in some applications such as stochastic differential equations. But other uses, such as martingale representation theory or local times, require a larger space of integrands.
发表于 2025-3-22 23:15:30 | 显示全部楼层
Stochastic Differential Equations,generators of their semigroups, which are partial differential operators. Thus Feller’s investigations of diffusions (for example) were actually investigations of partial differential equations, inspired by diffusions.
发表于 2025-3-23 01:38:39 | 显示全部楼层
Semimartingales and Decomposable Processes, measurable functions in the theory of Lebesgue integration. Thus defining an integral as a limit of sums—which requires a degree of smoothness on the sample paths—is inadequate. In this chapter we lay the groundwork necessary for an extension of our space of integrands, and the stochastic integral is then extended in Chap. IV.
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