This book provides probabilists with sufficient background to begin applying PDEs to probability theory and probability theory to PDEs.
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Dr Daniel W. Stroock is the Simons Professor of Mathematics Emeritus at the Massachusetts Institute of Technology. He has published numerous articles and is the author of six books, most recently Probability Theory: An Analytic View, 2nd edition (2010).
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. This book provides probabilists with sufficient background to begin applying PDEs to probability theory and probability theory to PDEs. Series: Cambridge Studies in Advanced Mathematics. Num Pages: 232 pages, black & white illustrations. BIC Classification: PBKJ; PBT. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 17. Weight in Grams: 510. . 2008. 1st Edition. hardcover. . . . . Seller Inventory # V9780521886512
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. 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 types. 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 De Giorgi-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 Hormander. Seller Inventory # LU-9780521886512
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 5629398
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Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. This book provides probabilists with sufficient background to begin applying PDEs to probability theory and probability theory to PDEs. Series: Cambridge Studies in Advanced Mathematics. Num Pages: 232 pages, black & white illustrations. BIC Classification: PBKJ; PBT. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 17. Weight in Grams: 510. . 2008. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521886512
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. 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 types. 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 De GiorgiMoserNash 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 Hormander. 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521886512
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