---

＜電子ブック＞
Stochastic Integration and Differential Equations / by Philip Protter
(Stochastic Modelling and Applied Probability. ISSN:2197439X ; 21)

版	2nd ed. 2005.
出版者	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
出版年	2005
本文言語	英語
大きさ	XIII, 415 p : online resource
冊子体	Stochastic integration and differential equations / Philip E. Protter
著者標目	*Protter, Philip author SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Mathematical analysis LCSH:Differential equations LCSH:Engineering mathematics LCSH:Engineering -- Data processing  全ての件名で検索 FREE:Probability Theory FREE:Analysis FREE:Differential Equations FREE:Mathematical and Computational Engineering Applications
一般注記	I Preliminaries -- II Semimartingales and Stochastic Integrals -- III Semimartingales and Decomposable Processes -- IV General Stochastic Integration and Local Times -- V Stochastic Differential Equations -- VI Expansion of Filtrations -- References 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 elementaryproof 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 treatment of compensators. Chapter 4 treats sigma martingales (important in finance theory) and gives a more comprehensive treatment of martingale representation, including both the Jacod-Yor theory and Emeryâ¬(tm)s examples of martingales that actually have martingale representation (thus going beyond the standard cases of Brownian motion and the compensated Poisson process). New topics added include an introduction to the theory of the expansion of filtrations, a treatment of the Fefferman martingale inequality, and that the dual space of the martingale space H^1 can be identified with BMO martingales. Solutions to selected exercises are available at the web site of the author, with current URL http://www.orie.cornell.edu/~protter/books.html Accessibility summary: This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at accessibilitysupport@springernature.com if you require assistance or an alternative format Inaccessible, or known limited accessibility No reading system accessibility options actively disabled Publisher contact for further accessibility information: accessibilitysupport@springernature.com HTTP:URL=https://doi.org/10.1007/978-3-662-10061-5

 類似資料