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Stochastic Differential Equations on Manifolds [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Elworthy, K. D.
  • Author:  Elworthy, K. D.
  • ISBN-10:  0521287677
  • ISBN-10:  0521287677
  • ISBN-13:  9780521287678
  • ISBN-13:  9780521287678
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  348
  • Pages:  348
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-1982
  • Pub Date:  01-May-1982
  • SKU:  0521287677-11-MPOD
  • SKU:  0521287677-11-MPOD
  • Item ID: 100891140
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jan 19 to Jan 21
  • Notes: Brand New Book. Order Now.
A basic 1982 treatment of stochastic differential equations on manifolds and their solution flows and the properties of Brownian motion on Riemannian manifolds.This 1982 book aims to give an understanding of the basic ideas concerning stochastic differential equations on manifolds and their solution flows, to examine the properties of Brownian motion on Riemannian manifolds when it is constructed using the stochiastic development and to indicate some of the uses of the theory.This 1982 book aims to give an understanding of the basic ideas concerning stochastic differential equations on manifolds and their solution flows, to examine the properties of Brownian motion on Riemannian manifolds when it is constructed using the stochiastic development and to indicate some of the uses of the theory.The aims of this book, originally published in 1982, are to give an understanding of the basic ideas concerning stochastic differential equations on manifolds and their solution flows, to examine the properties of Brownian motion on Riemannian manifolds when it is constructed using the stochiastic development and to indicate some of the uses of the theory. The author has included two appendices which summarise the manifold theory and differential geometry needed to follow the development; coordinate-free notation is used throughout. Moreover, the stochiastic integrals used are those which can be obtained from limits of the Riemann sums, thereby avoiding much of the technicalities of the general theory of processes and allowing the reader to get a quick grasp of the fundamental ideas of stochastic integration as they are needed for a variety of applications.Preface; Introduction; 1. Preliminaries and notation; 2. Kolmogorov's Theorem, Totoki's Theorem, and Brownian Motion; 3. The integral: estimates and existence; 4. Special cases; 5. The change of variable formula; 6. Stochastic integral equations; 7. Stochastic differential equations on manifolds; 8. Regularity; 9. Diffusions; Ald
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