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Protter P.E. — Stochastic Integration and Differential Equations
Protter P.E. — Stochastic Integration and Differential Equations



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Название: Stochastic Integration and Differential Equations

Автор: Protter P.E.

Аннотация:

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 Emery’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.


Язык: en

Рубрика: Математика/Вероятность/Стохастические процессы/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: второе

Год издания: 2004

Количество страниц: 430

Добавлена в каталог: 07.06.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Stopping time, fundamental sequence of      37
Stopping time, graph      104
Stopping time, hitting time      4
Stopping time, hitting time of Borel set is      5
Stopping time, predictable      103
Stopping time, reducing      37
Stopping time, totally inaccessible      103
Stratonovich integral      see Fisktratonovich integral
Stratonovich Integration by Parts Theorem      278
Strengthened Fefferman inequality      195
Strieker's Theorem      53
Strong Markov process      36 292
Strong Markov property      36 292
Strong Markov property for Brownian motion      23
Strong Markov property for Levy process      23
Strongly injective flow      311
Strongly orthogonal martingales      179
Structure equatio, Existence of Solutions Theorem      201
Structure equation      200 238
Submartingale      7
Supermartingale      7
Supermartingale, regular      150
Symmetric Levy process      49
Symmetric stable process      34
Tanaka's formula      217
Tied down Brownian motion      299
Time change      190
Time change of Brownian motion      88
Time homogeneous Markov process      292
Time reversal      377
Total semimartingale      52
Total variation process      40
Totally inaccessible stopping time      103
Transition function for Markov process      292
Transition semigroup      292
Truncation operators      265
ucp      see uniform convergence on compacts in probability
Uniform convergence on compacts in probability      57
Uniformly integrable martingale      8
Usual hypotheses      3 291
Variation      116
Variation along $\tau$      116
Weak solution of SDE      201 240
Weak uniqueness of SDE      201
Weakly injective flow      311
White noise      140 243
Wiener measure      141
Wiener process      137 140
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