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Cambridge University Press Multidimensional Stochastic Processes as Rough Paths: Theory and Applications (Cambridge Studies in Advanced Mathematics): 120 (Cambridge Studies in Advanced Mathematics, Series Number 120)

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£93.00 £84.27 £86.17 £88.08 £89.98 £91.89 £93.79 27 July 2026 13 August 2026 30 August 2026 16 September 2026 04 October 2026
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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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 February 2010
Listed Since
19 October 2006

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