000 02396nam a22003738i 4500
001 CR9780511750489
003 UkCbUP
005 20200124160218.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 100412s2010||||enk o ||1 0|eng|d
020 _a9780511750489 (ebook)
020 _z9780521760188 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA274.75
_b.M67 2010
082 0 0 _a530.4/75
_222
100 1 _aMörters, Peter,
_eauthor.
245 1 0 _aBrownian motion /
_cPeter Mörters and Yuval Peres ; with an appendix by Oded Schramm and Wendelin Werner.
264 1 _aCambridge :
_bCambridge University Press,
_c2010.
300 _a1 online resource (xii, 403 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge series on statistical and probabilistic mathematics ;
_v30
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aThis eagerly awaited textbook covers everything the graduate student in probability wants to know about Brownian motion, as well as the latest research in the area. Starting with the construction of Brownian motion, the book then proceeds to sample path properties like continuity and nowhere differentiability. Notions of fractal dimension are introduced early and are used throughout the book to describe fine properties of Brownian paths. The relation of Brownian motion and random walk is explored from several viewpoints, including a development of the theory of Brownian local times from random walk embeddings. Stochastic integration is introduced as a tool and an accessible treatment of the potential theory of Brownian motion clears the path for an extensive treatment of intersections of Brownian paths. An investigation of exceptional points on the Brownian path and an appendix on SLE processes, by Oded Schramm and Wendelin Werner, lead directly to recent research themes.
650 0 _aBrownian motion processes.
700 1 _aPeres, Y.
_q(Yuval),
_eauthor.
700 1 _aSchramm, Oded,
_eauthor.
700 1 _aWerner, Wendelin,
_d1968-
_eauthor.
776 0 8 _iPrint version:
_z9780521760188
830 0 _aCambridge series on statistical and probabilistic mathematics ;
_v30.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511750489
999 _c516466
_d516464