Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions

Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions
Author: N.V. Krylov
Publisher: Springer
Total Pages: 248
Release: 2006-11-15
Genre: Mathematics
ISBN: 3540481613

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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.

Stochastic Equations in Infinite Dimensions

Stochastic Equations in Infinite Dimensions
Author: Giuseppe Da Prato
Publisher: Cambridge University Press
Total Pages: 513
Release: 2014-04-17
Genre: Mathematics
ISBN: 1139917153

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Now in its second edition, this book gives a systematic and self-contained presentation of basic results on stochastic evolution equations in infinite dimensional, typically Hilbert and Banach, spaces. In the first part the authors give a self-contained exposition of the basic properties of probability measure on separable Banach and Hilbert spaces, as required later; they assume a reasonable background in probability theory and finite dimensional stochastic processes. The second part is devoted to the existence and uniqueness of solutions of a general stochastic evolution equation, and the third concerns the qualitative properties of those solutions. Appendices gather together background results from analysis that are otherwise hard to find under one roof. This revised edition includes two brand new chapters surveying recent developments in the area and an even more comprehensive bibliography, making this book an essential and up-to-date resource for all those working in stochastic differential equations.

Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions

Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions
Author: N.V. Krylov
Publisher: Springer
Total Pages: 244
Release: 1999-10-19
Genre: Mathematics
ISBN: 9783540665458

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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.

Stochastic Equations in Infinite Dimensions

Stochastic Equations in Infinite Dimensions
Author: Giuseppe Da Prato
Publisher: Cambridge University Press
Total Pages: 513
Release: 2014-04-17
Genre: Mathematics
ISBN: 1107055849

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Updates in this second edition include two brand new chapters and an even more comprehensive bibliography.

Second Order PDE's in Finite and Infinite Dimension

Second Order PDE's in Finite and Infinite Dimension
Author: Sandra Cerrai
Publisher: Springer
Total Pages: 330
Release: 2003-07-01
Genre: Mathematics
ISBN: 3540451471

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The main objective of this monograph is the study of a class of stochastic differential systems having unbounded coefficients, both in finite and in infinite dimension. We focus our attention on the regularity properties of the solutions and hence on the smoothing effect of the corresponding transition semigroups in the space of bounded and uniformly continuous functions. As an application of these results, we study the associated Kolmogorov equations, the large-time behaviour of the solutions and some stochastic optimal control problems together with the corresponding Hamilton- Jacobi-Bellman equations. In the literature there exists a large number of works (mostly in finite dimen sion) dealing with these arguments in the case of bounded Lipschitz-continuous coefficients and some of them concern the case of coefficients having linear growth. Few papers concern the case of non-Lipschitz coefficients, but they are mainly re lated to the study of the existence and the uniqueness of solutions for the stochastic system. Actually, the study of any further properties of those systems, such as their regularizing properties or their ergodicity, seems not to be developed widely enough. With these notes we try to cover this gap.

Stochastic Differential Equations in Infinite Dimensions

Stochastic Differential Equations in Infinite Dimensions
Author: Leszek Gawarecki
Publisher: Springer
Total Pages: 291
Release: 2013-01-27
Genre: Mathematics
ISBN: 9783642266348

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The systematic study of existence, uniqueness, and properties of solutions to stochastic differential equations in infinite dimensions arising from practical problems characterizes this volume that is intended for graduate students and for pure and applied mathematicians, physicists, engineers, professionals working with mathematical models of finance. Major methods include compactness, coercivity, monotonicity, in a variety of set-ups. The authors emphasize the fundamental work of Gikhman and Skorokhod on the existence and uniqueness of solutions to stochastic differential equations and present its extension to infinite dimension. They also generalize the work of Khasminskii on stability and stationary distributions of solutions. New results, applications, and examples of stochastic partial differential equations are included. This clear and detailed presentation gives the basics of the infinite dimensional version of the classic books of Gikhman and Skorokhod and of Khasminskii in one concise volume that covers the main topics in infinite dimensional stochastic PDE’s. By appropriate selection of material, the volume can be adapted for a 1- or 2-semester course, and can prepare the reader for research in this rapidly expanding area.

Foundations of Stochastic Differential Equations in Infinite Dimensional Spaces

Foundations of Stochastic Differential Equations in Infinite Dimensional Spaces
Author: Kiyosi Ito
Publisher: SIAM
Total Pages: 79
Release: 1984-01-01
Genre: Mathematics
ISBN: 9781611970234

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A systematic, self-contained treatment of the theory of stochastic differential equations in infinite dimensional spaces. Included is a discussion of Schwartz spaces of distributions in relation to probability theory and infinite dimensional stochastic analysis, as well as the random variables and stochastic processes that take values in infinite dimensional spaces.

Infinite Dimensional And Finite Dimensional Stochastic Equations And Applications In Physics

Infinite Dimensional And Finite Dimensional Stochastic Equations And Applications In Physics
Author: Wilfried Grecksch
Publisher: World Scientific
Total Pages: 261
Release: 2020-04-22
Genre: Science
ISBN: 9811209804

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This volume contains survey articles on various aspects of stochastic partial differential equations (SPDEs) and their applications in stochastic control theory and in physics.The topics presented in this volume are:This book is intended not only for graduate students in mathematics or physics, but also for mathematicians, mathematical physicists, theoretical physicists, and science researchers interested in the physical applications of the theory of stochastic processes.

An Introduction to Infinite-Dimensional Analysis

An Introduction to Infinite-Dimensional Analysis
Author: Giuseppe Da Prato
Publisher: Springer Science & Business Media
Total Pages: 217
Release: 2006-08-25
Genre: Mathematics
ISBN: 3540290214

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Based on well-known lectures given at Scuola Normale Superiore in Pisa, this book introduces analysis in a separable Hilbert space of infinite dimension. It starts from the definition of Gaussian measures in Hilbert spaces, concepts such as the Cameron-Martin formula, Brownian motion and Wiener integral are introduced in a simple way. These concepts are then used to illustrate basic stochastic dynamical systems and Markov semi-groups, paying attention to their long-time behavior.