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Partial Differential Equations for Probabilists [Hardcover]

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  • Category: Books (Mathematics)
  • Author:  Stroock, Daniel W.
  • Author:  Stroock, Daniel W.
  • ISBN-10:  0521886511
  • ISBN-10:  0521886511
  • ISBN-13:  9780521886512
  • ISBN-13:  9780521886512
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  232
  • Pages:  232
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2008
  • Pub Date:  01-May-2008
  • SKU:  0521886511-11-MPOD
  • SKU:  0521886511-11-MPOD
  • Item ID: 100851645
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.
This book provides probabilists with sufficient background to begin applying PDEs to probability theory and probability theory to PDEs.This book provides probabilists with sufficient background to begin applying PDEs to probability theory and probability theory to PDEs. It covers the theory of linear and second order PDEs of parabolic and elliptic type. While most of the techniques described have antecedents in probability theory, the book does cover a few purely analytic techniques.This book provides probabilists with sufficient background to begin applying PDEs to probability theory and probability theory to PDEs. It covers the theory of linear and second order PDEs of parabolic and elliptic type. While most of the techniques described have antecedents in probability theory, the book does cover a few purely analytic techniques.This book deals with equations that have played a central role in the interplay between partial differential equations and probability theory. Most of this material has been treated elsewhere, but it is rarely presented in a manner that makes it readily accessible to people whose background is probability theory. Many results are given new proofs designed for readers with limited expertise in analysis. The author covers the theory of linear, second order partial differential equations of parabolic and elliptic type. Many of the techniques have antecedents in probability theory, although the book also covers a few purely analytic techniques. In particular, a chapter is devoted to the DeGiorgi-Moser-Nash estimates and the concluding chapter gives an introduction to the theory of pseudodifferential operators and their application to hypoellipticity, including the famous theorem of Lars H?rmander.1. Kolmogorov's forward, basic results; 2. Non-elliptic regularity results; 3. Preliminary elliptic regularity results; 4. Nash theory; 5. Localization; 6. On a manifold; 7. Subelliptic estimates and H?rmander's theorem. The book will capture ylı
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