
Stochastic Flows and Jump-Diffusions
Hiroshi Kunita(Author)
Springer (Publisher)
Published on 9. April 2019
Book
Hardback
XVII, 352 pages
978-981-13-3800-7 (ISBN)
Description
This monograph presents a modern treatment of (1) stochastic differential equations and (2) diffusion and jump-diffusion processes. The simultaneous treatment of diffusion processes and jump processes in this book is unique: Each chapter starts from continuous processes and then proceeds to processes with jumps.In the first part of the book, it is shown that solutions of stochastic differential equations define stochastic flows of diffeomorphisms. Then, the relation between stochastic flows and heat equations is discussed. The latter part investigates fundamental solutions of these heat equations (heat kernels) through the study of the Malliavin calculus. The author obtains smooth densities for transition functions of various types of diffusions and jump-diffusions and shows that these density functions are fundamental solutions for various types of heat equations and backward heat equations. Thus, in this book fundamental solutions for heat equations and backward heat equations are constructed independently of the theory of partial differential equations.Researchers and graduate student in probability theory will find this book very useful.
More details
Product info
Book
Series
Edition
2019
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
145 s/w Abbildungen
Bibliographie
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 26 mm
Weight
723 gr
ISBN-13
978-981-13-3800-7 (9789811338007)
DOI
10.1007/978-981-13-3801-4
Schweitzer Classification
Other editions
Additional editions

Hiroshi Kunita
Stochastic Flows and Jump-Diffusions
E-Book
03/2019
1st Edition
Springer
€117.69
Available for download
Person
Kunita was an invited speaker at the ICM 1986.
Content
Preface.- Introduction.- 1.Probability distributions and stochastic processes.- 2.Stochastic integrals based on Wiener processes and Poisson random measures.- 3.Stochastic differential equations and stochastic flows.- 4.Diffusions, jump-diffusions and heat equations.- 5.Malliavin calculus for Wiener processes and Poisson random measures.- 6.Smooth densities and heat kernels.- 7.Jump-diffusions on manifolds and smooth densities.- Bibliography.- Index.