Stochastic Differential Equations in Infinite Dimensions: with Applications to Stochastic Partial Differential Equations: Probability and Its Applications
Autor Leszek Gawarecki, Vidyadhar Mandrekaren Limba Engleză Paperback – 27 ian 2013
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 517.47 lei 43-57 zile | |
Springer Berlin, Heidelberg – 27 ian 2013 | 517.47 lei 43-57 zile | |
Hardback (1) | 523.57 lei 43-57 zile | |
Springer Berlin, Heidelberg – 15 dec 2010 | 523.57 lei 43-57 zile |
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Specificații
ISBN-13: 9783642266348
ISBN-10: 3642266347
Pagini: 308
Ilustrații: XVI, 291 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.44 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Probability and Its Applications
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642266347
Pagini: 308
Ilustrații: XVI, 291 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.44 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Probability and Its Applications
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
GraduateCuprins
Preface.- Part I: Stochastic Differential Equations in Infinite Dimensions.- 1.Partial Differential Equations as Equations in Infinite.- 2.Stochastic Calculus.- 3.Stochastic Differential Equations.- 4.Solutions by Variational Method.- 5.Stochastic Differential Equations with Discontinuous Drift.- Part II: Stability, Boundedness, and Invariant Measures.- 6.Stability Theory for Strong and Mild Solutions.- 7.Ultimate Boundedness and Invariant Measure.- References.- Index.
Recenzii
From the reviews:
“The text is complete, accurate and a very clear introduction to the topic. … the book is a very nice and clear introduction to major methods in the study of infinite-dimensional stochastic differential equations. The book is not only appropriate for teaching purposes (it is designed for graduate students but due to its clear approach it can probably be used in undergraduate classes as well), but also a robust reference work for pure and applied mathematicians.” (Giorgio Fabbri, Mathematical Reviews, Issue 2012 a)
“The text is complete, accurate and a very clear introduction to the topic. … the book is a very nice and clear introduction to major methods in the study of infinite-dimensional stochastic differential equations. The book is not only appropriate for teaching purposes (it is designed for graduate students but due to its clear approach it can probably be used in undergraduate classes as well), but also a robust reference work for pure and applied mathematicians.” (Giorgio Fabbri, Mathematical Reviews, Issue 2012 a)
Textul de pe ultima copertă
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.
Caracteristici
Most comprehensive coverage of the modern techniques used for solving problems in infinite dimensional stochastic differential equations Presents major methods, including compactness, coercivity, monotonicity, in different set-ups Provides a broad range of new results and applications Includes supplementary material: sn.pub/extras