Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions

Kolmogorov equations are second order parabolic equations with a finite or an infinite number of variables. They are deeply connected with stochastic differential equations in finite or infinite dimensional spaces. They arise in many fields as Mathematical Physics, Chemistry and Mathematical Finance. These equations can be studied both by probabilistic and by analytic methods, using such tools as Gaussian measures, Dirichlet Forms, and stochastic calculus. The following courses have been delivered: N.V. Krylov presented Kolmogorov equations coming from finite-dimensional equations, giving existence, uniqueness and regularity results. M. Röckner has presented an approach to Kolmogorov equations in infinite dimensions, based on an LP-analysis of the corresponding diffusion operators with respect to suitably chosen measures. J. Zabczyk started from classical results of L. Gross, on the heat equation in infinite dimension, and discussed some recent results.

Product details

• Authors: J. Zabczyk, M. Röckner, N. V. Krylov, M Röckner, Michael Röckner, Jerzy Zabczyk, N V Krylov, Nikolai V. Krylov, N Krylov, J Zabczyk, Röckner
• Assisted by: G. Da Prato (Editor), G Da Prato (Editor), Da Prato (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 01.01.1960
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematica
• EAN: 9783540665458
• ISBN: 978-3-540-66545-8
• Pages: 244
• Illustrations: XII, 244 p.
• Dimensions (packing): 15.8 x 23.6 x 1.5 cm
• Weight (packing): 416 g
• Series: Lecture Notes in Mathematics > Vol.1715; C.I.M.E. Foundation Subseries; Lecture Notes in Mathematics > 1715; C.I.M.E. Foundation Subseries > 1715
• Subjects: Stochastik, Wahrscheinlichkeitsrechnung und Statistik, Wahrscheinlichkeit - Wahrscheinlichkeitstheorie, Martingale, PartialDifferentialEquations, stochasticcalculus, Dirichletforms, Gaussianmeasure, Dirichletform, Markovproperty, Ornstein-Uhlenbeckprocess, Kolmogorovequations