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E-raamat: Stochastic Integration and Differential Equations

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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 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 Emerys 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.



 

Arvustused

From the reviews of the second edition:





"A fast and nice introduction to semimartingales and stochastic integration . The second edition of the book has a number of changes and new topics . The book is highly recommendable for graduate students and experts alike. It is a pleasure to read, with many examples, and all arguments are presented clearly and with care. This book can equally well serve as a course on stochastic calculus as well as an excellent reference material." (Prof. Dr. M. Vanmaele, KWANT METHODEN, 2004)

"It has been well over a decade . the second edition, particularly since the book itself has by now become a well-known and often-used classic. While the second edition follows the outline and content of the first edition quite closely . The book is carefully written and well presented and covers the topics of stochastic integration . The changes and additions have served to make this now classic "new approach" only a more attractive and comprehensive entry point ." (Anja Sturm, SIAM Review Vol. 47(1), 2005)

"As anyone who has taught or attended a course on Stochastic calculus knows, one of the most difficult aspect of the theme is absence of exercises in the books on the topic. The second edition of this book comes to the rescue. Each chapter has exercises which should help instructors and students alike. This book would serve as a good text for a course on stochastic calculus. At the same time, it is also a good reference book." (Rajeeva L. Karandikar, Sankhya: The Indian Journal of Statistics, Vol. 66 (1), 2004)

"In this new edition several changes have been made; most of them are inclusions of results obtained since the appearance of the first edition . addition is exercises, to be found at the end of each chapter. Altogether I agree with the previous reviewer the book provides an excellent basis for lecturing or self teaching." (Evelyn Buckwar, Mathematical Reviews, Issue 2005 k)

Muu info

Springer Book Archives
Introduction 1(2)
I Preliminaries
3(48)
1 Basic Definitions and Notation
3(4)
2 Martingales
7(5)
3 The Poisson Process and Brownian Motion
12(8)
4 Levy Processes
20(14)
5 Why the Usual Hypotheses?
34(3)
6 Local Martingales
37(2)
7 Stieltjes Integration and Change of Variables
39(4)
8 Naive Stochastic Integration is Impossible
43(8)
Bibliographic Notes
44(1)
Exercises for
Chapter I
45(6)
II Semimartingales and Stochastic Integrals
51(50)
1 Introduction to Semimartingales
51(1)
2 Stability Properties of Semimartingales
52(2)
3 Elementary Examples of Semimartingales
54(2)
4 Stochastic Integrals
56(4)
5 Properties of Stochastic Integrals
60(6)
6 The Quadratic Variation of a Semimartingale
66(12)
7 Ito's Formula (Change of Variables)
78(6)
8 Applications of Ito's Formula
84(17)
Bibliographic Notes
92(2)
Exercises for
Chapter II
94(7)
III Semimartingales and Decomposable Processes
101(54)
1 Introduction
101(3)
2 The Classification of Stopping Times
104(2)
3 The Doob-Meyer Decompositions
106(11)
4 Quasimartingales
117(2)
5 Compensators
119(7)
6 The Fundamental Theorem of Local Martingales
126(3)
7 Classical Semimartingales
129(4)
8 Girsanov's Theorem
133(13)
9 The Bichteler-Dellacherie Theorem
146(9)
Bibliographic Notes
149(1)
Exercises for
Chapter III
150(5)
IV General Stochastic Integration and Local Times
155(94)
1 Introduction
155(1)
2 Stochastic Integration for Predictable Integrands
155(25)
3 Martingale Representation
180(15)
4 Martingale Duality and the Jacod-Yor Theorem on Martingale Representation
195(8)
5 Examples of Martingale Representation
203(5)
6 Stochastic Integration Depending on a Parameter
208(5)
7 Local Times
213(19)
8 Azema's Martingale
232(5)
9 Sigma Martingales
237(12)
Bibliographic Notes
240(1)
Exercises for
Chapter IV
241(8)
V Stochastic Differential Equations
249(114)
1 Introduction
249(1)
2 The Hp Norms for Semimartingales
250(5)
3 Existence and Uniqueness of Solutions
255(8)
4 Stability of Stochastic Differential Equations
263(14)
5 Fisk-Stratonovich Integrals and Differential Equations
277(20)
6 The Markov Nature of Solutions
297(10)
7 Flows of Stochastic Differential Equations: Continuity and Differentiability
307(10)
8 Flows as Diffeomorphisms: The Continuous Case
317(11)
9 General Stochastic Exponentials and Linear Equations
328(7)
10 Flows as Diffeomorphisms: The General Case
335(10)
11 Eclectic Useful Results on Stochastic Differential Equations
345(18)
Bibliographic Notes
354(1)
Exercises for
Chapter V
355(8)
VI Expansion of Filtrations
363(34)
1 Introduction
363(1)
2 Initial Expansions
364(14)
3 Progressive Expansions
378(7)
4 Time Reversal
385(12)
Bibliographic Notes
391(1)
Exercises for
Chapter VI
392(5)
References 397(14)
Subject Index 411