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  • 1
    Buch
    Buch
    Basel [u.a.] :Birkhäuser,
    UID:
    almafu_BV019804778
    Umfang: VII, 182 S.
    ISBN: 3-7643-7216-8
    Serie: Advanced courses in mathematics - CRM Barcelona
    Sprache: Englisch
    Fachgebiete: Mathematik
    RVK:
    Schlagwort(e): Stochastische partielle Differentialgleichung ; Kolmogorovsche Differentialgleichungen
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Basel : Birkhäuser Basel
    UID:
    b3kat_BV042421982
    Umfang: 1 Online-Ressource (VII, 182p)
    ISBN: 9783034879095 , 9783764372163
    Serie: Advanced Courses in Mathematics CRM Barcelona, Centre de Recerca Matemàtica
    Anmerkung: This book is devoted to some basic stochastic partial differential equations, in particular reaction-diffusion equations, Burgers and Navier-Stokes equations per­ turbed by noise. Particular attention is paid to the corresponding Kolmogorov equations which are elliptic or parabolic equations with infinitely many variables. The aim of the book is to present the basic elements of stochastic PDEs in a simple and self-contained way in order to cover the program of one year PhD course both in Mathematics and in Physics. The needed prerequisites are some basic knowledge of probability, functional analysis (including fundamental properties of Gaussian measures) and partial dif­ ferential equations. This book is an expansion of a course given by the author in 1997 at the "Center de Recerca Matematica" in Barcelona (see [30]), which I thank for the warm hospitality. I wish also to thank B. Goldys for reading the manuscript and making several useful comments. This work was also supported by the research program "Analisi e controllo di equazioni di evoluzione deterministiche e stocastiche" from the Italian "Ministero della Ricerca Scientifica e Tecnologica" . Pisa, October 2004 Giuseppe Da Prato Chapter 1 Introduction and Preliminaries 1.1 Introduction We are here concerned with a stochastic differential equation in a separable Hilbert space H, dX(t,x) = (AX(t, x) + F(X(t, x)))dt + B dW(t), t 〉 0, x E H, { (1.1) X(O,x) = x, x E H.
    Sprache: Englisch
    Schlagwort(e): Stochastische partielle Differentialgleichung ; Kolmogorovsche Differentialgleichungen
    URL: Volltext  (lizenzpflichtig)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    Basel :Birkhäuser Basel :
    UID:
    almahu_9947363182802882
    Umfang: VII, 182 p. , online resource.
    ISBN: 9783034879095
    Serie: Advanced Courses in Mathematics CRM Barcelona, Centre de Recerca Matemàtica
    Anmerkung: 1 Introduction and Preliminaries -- 1.1 Introduction -- 1.2 Preliminaries ix -- 2 Stochastic Perturbations of Linear Equations -- 2.1 Introduction -- 2.2 The stochastic convolution -- 2.3 The Ornstein—Uhlenbeck semigroup Rt -- 2.4 The case when Rt is strong Feller -- 2.5 Asymptotic behaviour of solutions, invariant measures -- 2.6 The transition semigroup in Lp(H, ?) -- 2.7 Poincaré and log-Sobolev inequalities -- 2.8 Some complements -- 3 Stochastic Differential Equations with Lipschitz Nonlinearities -- 3.1 Introduction and setting of the problem -- 3.2 Existence, uniqueness and approximation -- 3.3 The transition semigroup -- 3.4 Invariant measure v -- 3.5 The transition semigroup in L2 (H, v) -- 3.6 The integration by parts formula and its consequences -- 3.7 Comparison of v with a Gaussian measure -- 4 Reaction-Diffusion Equations -- 4.1 Introduction and setting of the problem -- 4.2 Solution of the stochastic differential equation -- 4.3 Feller and strong Feller properties -- 4.4 Irreducibility -- 4.5 Existence of invariant measure -- 4.6 The transition semigroup in L2 (H, v) -- 4.7 The integration by parts formula and its consequences -- 4.8 Comparison of v with a Gaussian measure -- 4.9 Compactness of the embedding W1,2 (H, v) ? L2 (H, v) -- 4.10 Gradient systems -- 5 The Stochastic Burgers Equation -- 5.1 Introduction and preliminaries -- 5.2 Solution of the stochastic differential equation -- 5.3 Estimates for the solutions -- 5.4 Estimates for the derivative of the solution w.r.t. the initial datum -- 5.5 Strong Feller property and irreducibility -- 5.6 Invariant measure v -- 5.6.1 Estimate of some integral with respect to v -- 5.7 Kolmogorov equation -- 6 The Stochastic 2D Navier—Stokes Equation -- 6.1 Introduction and preliminaries -- 6.2 Solution of the stochastic equation -- 6.3 Estimates for the solution -- 6.4 Invariant measure v -- 6.5 Kolmogorov equation.
    In: Springer eBooks
    Weitere Ausg.: Printed edition: ISBN 9783764372163
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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