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Multidimensional Stochastic Processes as Rough Paths
Contributor(s): Friz, Peter K. (Author), Victoir, Nicolas B. (Author)
ISBN: 0521876079     ISBN-13: 9780521876070
Publisher: Cambridge University Press
OUR PRICE:   $110.20  
Product Type: Hardcover - Other Formats
Published: March 2010
Qty:
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - Stochastic Processes
Dewey: 519.2
LCCN: 2009048605
Series: Cambridge Studies in Advanced Mathematics (Hardcover)
Physical Information: 1.5" H x 6.1" W x 9" (2.20 lbs) 670 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Rough path analysis provides a fresh perspective on Ito's important theory of stochastic differential equations. Key theorems of modern stochastic analysis (existence and limit theorems for stochastic flows, Freidlin-Wentzell theory, the Stroock-Varadhan support description) can be obtained with dramatic simplifications. Classical approximation results and their limitations (Wong-Zakai, McShane's counterexample) receive 'obvious' rough path explanations. Evidence is building that rough paths will play an important role in the future analysis of stochastic partial differential equations and the authors include some first results in this direction. They also emphasize interactions with other parts of mathematics, including Caratheodory geometry, Dirichlet forms and Malliavin calculus. Based on successful courses at the graduate level, this up-to-date introduction presents the theory of rough paths and its applications to stochastic analysis. Examples, explanations and exercises make the book accessible to graduate students and researchers from a variety of fields.

Contributor Bio(s): Friz, Peter K.: - Peter K. Friz is a Reader in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge. He is also a Research Group Leader at the Johann Radon Institute at the Austrian Academy of Sciences, Linz.Victoir, Nicolas B.: - Nicolas B. Victoir works in quantitative research at JPMorgan in Hong Kong.