LEADER 03207cam a2200565Ma 4500
001 koha001012856
003 OCoLC
005 20250222065940.0
006 m d
007 cr |n|||||||||
008 161202s2016 xx o 000 0 eng d
035 |a koha001012856 
040 |a IDEBK  |b eng  |e pn  |c IDEBK  |d OCLCQ  |d EBLCP  |d IDEBK  |d YDX  |d N$T 
019 |a 967830793 
020 |a 3110493888  |q (electronic bk.) 
020 |a 9783110493887  |q (electronic bk.) 
020 |z 3110492431 
020 |z 3110495104 
020 |z 9783110495102 (alk. paper) 
020 |z 9783110492439 
037 |a 972867  |b MIL 
050 4 |a QA274.25.B65 2016 
072 7 |a MAT  |x 003000  |2 bisacsh 
072 7 |a MAT  |x 029000  |2 bisacsh 
082 0 4 |a 519.2/2 
049 |a MAIN 
100 1 |a Guo, Boling.  |9 910502 
245 1 0 |a Stochastic PDEs and Dynamics  |h [electronic resource]. 
260 |b De Gruyter,  |c 2016.  |9 899814 
300 |a 1 online resource 
588 0 |a Print version record. 
505 0 |a Preface ; Contents ; 1 Preliminaries ; 1.1 Preliminaries in probability ; 1.1.1 Probability space ; 1.1.2 Random variable and probability distribution ; 1.1.3 Mathematical expectation and momentum ; 1.2 Some preliminaries of stochastic process ; 1.2.1 Markov process 
505 8 |a 1.2.2 Preliminaries on ergodic theory 1.3 Martingale ; 1.4 Wiener process and Brown motion ; 1.5 Poisson process ; 1.6 Lévy process ; 1.6.1 Characteristic function and infinite divisibility ; 1.6.2 Lévy process ; 1.6.3 Lévy-Itô decomposition ; 1.7 The fractional Brownian motion 
505 8 |a 2 The stochastic integral and Itô formula 2.1 Stochastic integral ; 2.1.1 Itô integral ; 2.1.2 The stochastic integral in general case ; 2.1.3 Poisson stochastic integral ; 2.2 Itô formula ; 2.3 The infinite-dimensional case ; 2.3.1 Q-Wiener process and the stochastic integral 
505 8 |a 2.3.2 Itô formula 2.4 Nuclear operator and HS operator ; 3 OU processes and SDEs ; 3.1 Ornstein-Uhlenbeck processes ; 3.2 Linear SDEs ; 3.3 Nonlinear SDEs ; 4 Random attractors ; 4.1 Determinate nonautonomous systems ; 4.2 Stochastic dynamical systems ; 5 Applications 
505 8 |a 5.1 Stochastic GL equation 5.1.1 The existence of random attractor ; 5.1.2 Hausdorff dimension of random attractor ; 5.1.3 Generalized SGLE ; 5.2 Ergodicity for SGL with degenerate noise ; 5.2.1 Momentum estimate and pathwise uniqueness ; 5.2.2 Invariant measures ; 5.2.3 Ergodicity 
504 |a Includes bibliographical references and index. 
653 0 |a Stochastic partial differential equations. 
653 0 |a Dynamics. 
653 7 |a Dynamics.  |2 fast  |0 (OCoLC)fst00900295 
653 7 |a Stochastic partial differential equations.  |2 fast  |0 (OCoLC)fst01133516 
653 7 |a MATHEMATICS / Applied  |2 bisacsh 
653 7 |a MATHEMATICS / Probability & Statistics / General  |2 bisacsh 
655 0 |a EBSCO eBooks  |9 905790 
655 4 |a Electronic books.  |9 899821 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/1438374.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1012856 
910 |a EBSCO eBooks 
999 |c 1012856  |d 1012856 
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