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020 _a9783030415556
040 _aNISER LIBRARY
_beng
_cNISER LIBRARY
082 _a519.21
_bFRI-C
100 _aFriz, Peter K.
245 _aCourse on rough paths :
_bwith an introduction to regularity structures
250 _a2nd edition
260 _aCham, Switzerland :
_bSpringer,
_c2020.
300 _axvi, 346 pages :
_billustrations.
490 _aUniversitext,
_x0172-5939
504 _aIncludes bibliographical references and index
520 _aWith many updates and additional exercises, the second edition of this book continues to provide readers with a gentle introduction to rough path analysis and regularity structures, theories that have yielded many new insights into the analysis of stochastic differential equations, and, most recently, stochastic partial differential equations. Rough path analysis provides the means for constructing a pathwise solution theory for stochastic differential equations which, in many respects, behaves like the theory of deterministic differential equations and permits a clean break between analytical and probabilistic arguments. Together with the theory of regularity structures, it forms a robust toolbox, allowing the recovery of many classical results without having to rely on specific probabilistic properties such as adaptedness or the martingale property. Essentially self-contained, this textbook puts the emphasis on ideas and short arguments, rather than aiming for the strongest possible statements. A typical reader will have been exposed to upper undergraduate analysis and probability courses, with little more than Itô-integration against Brownian motion required for most of the text.
650 _aStochastic differential equations
650 _aStochastic analysis
650 _aRough paths
650 _aRobust stochastic integration
650 _aGaussian processes
650 _aPartial differential equations
700 _aHairer, Martin
856 _3Table of contents
_uhttps://link.springer.com/content/pdf/bfm:978-3-030-41556-3/1
856 _3Reviews
_uhttps://www.goodreads.com/book/show/50690515-a-course-on-rough-paths?ref=nav_sb_ss_1_13#CommunityReviews
942 _2udc
_cBK
999 _c35954
_d35954