Stochastic Partial Differential Equations Six Perspectives


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Stochastic Partial Differential Equations


Stochastic Partial Differential Equations

Author: Sergey V. Lototsky

language: en

Publisher: Springer

Release Date: 2017-07-06


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Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very active research discipline, this textbook provides all the necessary background from functional analysis and the theory of PDEs. It covers the main types of equations (elliptic, hyperbolic and parabolic) and discusses different types of random forcing. The objective is to give the reader the necessary tools to understand the proofs of existing theorems about SPDEs (from other sources) and perhaps even to formulate and prove a few new ones. Most of the material could be covered in about 40 hours of lectures, as long as not too much time is spent on the general discussion of stochastic analysis in infinite dimensions. As the subject of SPDEs is currently making the transition from the research level to that of a graduate or even undergraduate course, the book attempts to present enough exercise material to fill potential exams and homework assignments. Exercises appear throughout and are usually directly connected to the material discussed at a particular place in the text. The questions usually ask to verify something, so that the reader already knows the answer and, if pressed for time, can move on. Accordingly, no solutions are provided, but there are often hints on how to proceed. The book will be of interest to everybody working in the area of stochastic analysis, from beginning graduate students to experts in the field.

Stochastic Partial Differential Equations: Six Perspectives


Stochastic Partial Differential Equations: Six Perspectives

Author: René Carmona

language: en

Publisher: American Mathematical Soc.

Release Date: 1999


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Presents the main topics of interest in the field of stochastic partial differential equations (SPDEs), emphasizing breakthroughs and such basic issues as the role of SPDEs in stochastic modeling, how SPDEs arise, and how their theory is applied in different disciplines. Emphasis is placed on the genesis and applications of SPDEs, as well as mathematical theory and numerical methods. Suitable for graduate level students, researchers. Annotation copyrighted by Book News, Inc., Portland, OR

Stochastic Partial Differential Equations


Stochastic Partial Differential Equations

Author: René Carmona

language: en

Publisher: Oxford University Press, USA

Release Date: 2014-06-29


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The field of Stochastic Partial Differential Equations (SPDEs) is one of the dynamically developing areas of mathematics. It lies at the cross section of probability, partial differential equations, population biology, and mathematical physics. This title emphasizes the genesis and applications of SPDEs as well as mathematical theory.