On Lp Theory of Stochastic Partial Differential Equations in C1 Domains

On Lp Theory of Stochastic Partial Differential Equations in C1 Domains PDF Author: Kyeong-Hun Kim
Publisher:
ISBN:
Category :
Languages : en
Pages : 150

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On Lp Theory of Stochastic Partial Differential Equations in C1 Domains

On Lp Theory of Stochastic Partial Differential Equations in C1 Domains PDF Author: Kyeong-Hun Kim
Publisher:
ISBN:
Category :
Languages : en
Pages : 150

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Book Description


Besov Regularity of Stochastic Partial Differential Equations on Bounded Lipschitz Domains

Besov Regularity of Stochastic Partial Differential Equations on Bounded Lipschitz Domains PDF Author: Petru A. Cioica
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832539204
Category : Mathematics
Languages : en
Pages : 166

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Book Description
Stochastic partial differential equations (SPDEs, for short) are the mathematical models of choice for space time evolutions corrupted by noise. Although in many settings it is known that the resulting SPDEs have a unique solution, in general, this solution is not given explicitly. Thus, in order to make those mathematical models ready to use for real life applications, appropriate numerical algorithms are needed. To increase efficiency, it would be tempting to design suitable adaptive schemes based, e.g., on wavelets. However, it is not a priori clear whether such adaptive strategies can outperform well-established uniform alternatives. Their theoretical justification requires a rigorous regularity analysis in so-called non-linear approximation scales of Besov spaces. In this thesis the regularity of (semi-)linear second order SPDEs of Itô type on general bounded Lipschitz domains is analysed. The non-linear approximation scales of Besov spaces are used to measure the regularity with respect to the space variable, the time regularity being measured first in terms of integrability and afterwards in terms of Hölder norms. In particular, it is shown that in specific situations the spatial Besov regularity of the solution in the non-linear approximation scales is generically higher than its corresponding classical Sobolev regularity. This indicates that it is worth developing spatially adaptive wavelet methods for solving SPDEs instead of using uniform alternatives.

Topics in Stochastic Analysis and Nonparametric Estimation

Topics in Stochastic Analysis and Nonparametric Estimation PDF Author: Pao-Liu Chow
Publisher: Springer Science & Business Media
ISBN: 9780387751108
Category : Mathematics
Languages : en
Pages : 240

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Book Description
To honor Rafail Z. Khasminskii, on his seventy-fifth birthday, for his contributions to stochastic processes and nonparametric estimation theory an IMA participating institution conference entitled "Conference on Asymptotic Analysis in Stochastic Processes, Nonparametric Estimation, and Related Problems" was held. This volume commemorates this special event. Dedicated to Professor Khasminskii, it consists of nine papers on various topics in probability and statistics.

A Minicourse on Stochastic Partial Differential Equations

A Minicourse on Stochastic Partial Differential Equations PDF Author: Robert C. Dalang
Publisher: Springer Science & Business Media
ISBN: 3540859934
Category : Mathematics
Languages : en
Pages : 230

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Book Description
This title contains lectures that offer an introduction to modern topics in stochastic partial differential equations and bring together experts whose research is centered on the interface between Gaussian analysis, stochastic analysis, and stochastic PDEs.

Extraction of Quantifiable Information from Complex Systems

Extraction of Quantifiable Information from Complex Systems PDF Author: Stephan Dahlke
Publisher: Springer
ISBN: 3319081594
Category : Mathematics
Languages : en
Pages : 446

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Book Description
In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 “Mathematical Methods for Extracting Quantifiable Information from Complex Systems.” This volume presents a comprehensive overview of the most important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches.

Stochastic Differential Equations

Stochastic Differential Equations PDF Author: Peter H. Baxendale
Publisher: World Scientific
ISBN: 9812770631
Category : Mathematics
Languages : en
Pages : 416

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Book Description
This volume consists of 15 articles written by experts in stochastic analysis. The first paper in the volume, Stochastic Evolution Equations by N V Krylov and B L Rozovskii, was originally published in Russian in 1979. After more than a quarter-century, this paper remains a standard reference in the field of stochastic partial differential equations (SPDEs) and continues to attract the attention of mathematicians of all generations. Together with a short but thorough introduction to SPDEs, it presents a number of optimal, and essentially unimprovable, results about solvability for a large class of both linear and non-linear equations. The other papers in this volume were specially written for the occasion of Prof RozovskiiOCOs 60th birthday. They tackle a wide range of topics in the theory and applications of stochastic differential equations, both ordinary and with partial derivatives."

Elliptic Boundary Value Problems and Construction of Lp-Strong Feller Processes with Singular Drift and Reflection

Elliptic Boundary Value Problems and Construction of Lp-Strong Feller Processes with Singular Drift and Reflection PDF Author: Benedict Baur
Publisher: Springer Science & Business
ISBN: 3658058293
Category : Mathematics
Languages : en
Pages : 203

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Book Description
Benedict Baur presents modern functional analytic methods for construction and analysis of Feller processes in general and diffusion processes in particular. Topics covered are: Construction of Lp-strong Feller processes using Dirichlet form methods, regularity for solutions of elliptic boundary value problems, construction of elliptic diffusions with singular drift and reflection, Skorokhod decomposition and applications to Mathematical Physics like finite particle systems with singular interaction. Emphasize is placed on the handling of singular drift coefficients, as well as on the discussion of point wise and path wise properties of the constructed processes rather than just the quasi-everywhere properties commonly known from the general Dirichlet form theory.

Stochastic Partial Differential Equations

Stochastic Partial Differential Equations PDF Author: Alison Etheridge
Publisher: Cambridge University Press
ISBN: 9780521483193
Category : Mathematics
Languages : en
Pages : 356

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Book Description
Consists of papers given at the ICMS meeting held in 1994 on this topic, and brings together some of the world's best known authorities on stochastic partial differential equations.

Functional Analysis, Sobolev Spaces and Partial Differential Equations

Functional Analysis, Sobolev Spaces and Partial Differential Equations PDF Author: Haim Brezis
Publisher: Springer Science & Business Media
ISBN: 0387709142
Category : Mathematics
Languages : en
Pages : 600

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Book Description
This textbook is a completely revised, updated, and expanded English edition of the important Analyse fonctionnelle (1983). In addition, it contains a wealth of problems and exercises (with solutions) to guide the reader. Uniquely, this book presents in a coherent, concise and unified way the main results from functional analysis together with the main results from the theory of partial differential equations (PDEs). Although there are many books on functional analysis and many on PDEs, this is the first to cover both of these closely connected topics. Since the French book was first published, it has been translated into Spanish, Italian, Japanese, Korean, Romanian, Greek and Chinese. The English edition makes a welcome addition to this list.

An Introduction to Stochastic Differential Equations with Reflection

An Introduction to Stochastic Differential Equations with Reflection PDF Author: Andrey Pilipenko
Publisher: Universitätsverlag Potsdam
ISBN: 3869562978
Category :
Languages : en
Pages : 90

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Book Description