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Titlebook: Noncausal Stochastic Calculus; Shigeyoshi Ogawa Book 2017 Springer Japan KK 2017 Noncausal.Stochastic Calculus.random variable.stochastic

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樓主
發(fā)表于 2025-3-21 17:12:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Noncausal Stochastic Calculus
編輯Shigeyoshi Ogawa
視頻videohttp://file.papertrans.cn/668/667176/667176.mp4
概述Is the first book on a stochastic calculus of noncausal nature based on the noncausal stochastic integral introduced by the author in 1979.Begins with the study of fundamental properties of the noncau
圖書(shū)封面Titlebook: Noncausal Stochastic Calculus;  Shigeyoshi Ogawa Book 2017 Springer Japan KK 2017 Noncausal.Stochastic Calculus.random variable.stochastic
描述This book presents an elementary introduction to the theory of noncausal stochastic calculus that arises as a natural alternative to the standard theory of stochastic calculus founded in 1944 by Professor Kiyoshi It?. As is generally known, It? Calculus is essentially based on the "hypothesis of causality", asking random functions to be adapted to a natural filtration generated by Brownian motion or more generally by square integrable martingale..The intention in this book is to establish a stochastic calculus that is free from this "hypothesis of causality". To be more precise, a noncausal theory of stochastic calculus is developed in this book, based on the noncausal integral introduced by the author in 1979..After studying basic properties of the noncausal stochastic integral, various concrete problems of noncausal nature are considered, mostly concerning stochastic functional equations such as SDE, SIE, SPDE, and others, to show not only the necessity of such theory of noncausal stochastic calculus but also its growing possibility as a tool for modeling and analysis in every domain of mathematical sciences. The reader may find there many open problems as well..
出版日期Book 2017
關(guān)鍵詞Noncausal; Stochastic Calculus; random variable; stochastic derivative; principle of causality
版次1
doihttps://doi.org/10.1007/978-4-431-56576-5
isbn_softcover978-4-431-56825-4
isbn_ebook978-4-431-56576-5
copyrightSpringer Japan KK 2017
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:06:07 | 只看該作者
Book 2017ns such as SDE, SIE, SPDE, and others, to show not only the necessity of such theory of noncausal stochastic calculus but also its growing possibility as a tool for modeling and analysis in every domain of mathematical sciences. The reader may find there many open problems as well..
板凳
發(fā)表于 2025-3-22 00:44:48 | 只看該作者
地板
發(fā)表于 2025-3-22 06:19:25 | 只看該作者
5#
發(fā)表于 2025-3-22 11:47:51 | 只看該作者
Shigeyoshi OgawaIs the first book on a stochastic calculus of noncausal nature based on the noncausal stochastic integral introduced by the author in 1979.Begins with the study of fundamental properties of the noncau
6#
發(fā)表于 2025-3-22 14:22:15 | 只看該作者
Noncausal Calculus,We have seen in the previous chapter that the theory of It? calculus was established after the introduction of the stochastic integral called the It? integral and that this . integral has two important features as follows.
7#
發(fā)表于 2025-3-22 17:41:00 | 只看該作者
Brownian Particle Equation,The Brownian particle equation, which we call . for short, is an SPDE (stochastic partial differential equation) of the first order including the white noise . as coefficients at least in its principal part.
8#
發(fā)表于 2025-3-23 01:02:59 | 只看該作者
Noncausal SIE,A boundary value problem of an ordinary differential equation in a randomly disturbed situation would lead us to a stochastic integral equation of Fredholm type. In this chapter we study such an SIE in the framework of our noncausal calculus.
9#
發(fā)表于 2025-3-23 01:52:37 | 只看該作者
Stochastic Fourier Transformation,We have seen in the previous chapter that the stochastic Fourier transformation (SFT) and the stochastic Fourier coefficients (SFCs) serve as effective tools for the study of the noncausal SIE of Fredholm type. In this chapter we shall study basic properties of these SFT and SFC.
10#
發(fā)表于 2025-3-23 07:34:41 | 只看該作者
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