Continuous Martingales and Brownian Motion

Continuous Martingales and Brownian Motion

Einband:
Kartonierter Einband
EAN:
9783642084003
Untertitel:
Grundlehren der mathematischen Wissenschaften 293
Genre:
Mathematik
Autor:
Marc Yor, Daniel Revuz
Herausgeber:
Springer Berlin Heidelberg
Auflage:
Softcover reprint of hardcover 3rd ed. 1999
Anzahl Seiten:
624
Erscheinungsdatum:
01.12.2010
ISBN:
3642084001

3rd edition: proofs have been streamlined, errors removed, new exercises added and the bibliography enlarged

From the reviews: "This is a magnificent book! Its purpose is to describe in considerable detail a variety of techniques used by probabilists in the investigation of problems concerning Brownian motion. The great strength of Revuz and Yor is the enormous variety of calculations carried out both in the main text and also (by implication) in the exercises. ... This is THE book for a capable graduate student starting out on research in probability: the effect of working through it is as if the authors are sitting beside one, enthusiastically explaining the theory, presenting further developments as exercises, and throwing out challenging remarks about areas awaiting further research..."
Bull.L.M.S. 24, 4 (1992) Since the first edition in 1991, an impressive variety of advances has been made in relation to the material of this book, and these are reflected in the successive editions.

Inhalt
0. Preliminaries.- I. Introduction.- II. Martingales.- III. Markov Processes.- IV. Stochastic Integration.- V. Representation of Martingales.- VI. Local Times.- VII. Generators and Time Reversal.- VIII. Girsanov's Theorem and First Applications.- IX. Stochastic Differential Equations.- X. Additive Functionals of Brownian Motion.- XI. Bessel Processes and Ray-Knight Theorems.- XII. Excursions.- XIII. Limit Theorems in Distribution.- §1. Gronwall's Lemma.- §2. Distributions.- §3. Convex Functions.- §4. Hausdorff Measures and Dimension.- §5. Ergodic Theory.- §6. Probabilities on Function Spaces.- §7. Bessel Functions.- §8. Sturm-Liouville Equation.- Index of Notation.- Index of Terms.- Catalogue.


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