UID:
almahu_9949462259502882
Format:
1 online resource (284 p.)
ISBN:
9783110302066
,
9783110494938
Series Statement:
De Gruyter Studies in Mathematics , 48
Content:
This book deals with analytic treatments of Markov processes. Symmetric Dirichlet forms and their associated Markov processes are important and powerful tools in the theory of Markov processes and their applications. The theory is well studied and used in various fields. In this monograph, we intend to generalize the theory to non-symmetric and time dependent semi-Dirichlet forms. By this generalization, we can cover the wide class of Markov processes and analytic theory which do not possess the dual Markov processes. In particular, under the semi-Dirichlet form setting, the stochastic calculus is not well established yet. In this monograph, we intend to give an introduction to such calculus. Furthermore, basic examples different from the symmetric cases are given. The text is written for graduate students, but also researchers.
Note:
Frontmatter --
,
Preface --
,
Contents --
,
Chapter 1. Dirichlet forms --
,
Chapter 2. Some analytic properties of Dirichlet forms --
,
Chapter 3. Markov processes --
,
Chapter 4. Additive functionals and smooth measures --
,
Chapter 5. Martingale AFs and AFs of zero energy --
,
Chapter 6. Time dependent Dirichlet forms --
,
Notes --
,
Bibliography --
,
Index
,
Issued also in print.
,
Mode of access: Internet via World Wide Web.
,
In English.
In:
DG Studies in Mathematics eBook-Package, De Gruyter, 9783110494938
In:
DGBA Backlist Complete English Language 2000-2014 PART1, De Gruyter, 9783110238570
In:
DGBA Backlist Mathematics 2000-2014 (EN), De Gruyter, 9783110238471
In:
DGBA Mathematics - 2000 - 2014, De Gruyter, 9783110637205
In:
E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2013, De Gruyter, 9783110317350
In:
E-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2013, De Gruyter, 9783110317282
In:
E-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2013, De Gruyter, 9783110317275
Additional Edition:
ISBN 9783110302004
Language:
English
Subjects:
Mathematics
DOI:
10.1515/9783110302066
URL:
https://doi.org/10.1515/9783110302066
URL:
https://www.degruyter.com/isbn/9783110302066
