Cycle representations of Markov processes
Author(s)
Bibliographic Information
Cycle representations of Markov processes
(Applications of mathematics, 28)
Springer-Verlag, c1995
- : us
- : gw
Available at / 52 libraries
-
Library, Research Institute for Mathematical Sciences, Kyoto University数研
: usKAL||16||195008985
-
Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
: us519.2/K1272070345188
-
No Libraries matched.
- Remove all filters.
Note
Bibliography: p. 169-190
Includes index
Description and Table of Contents
- Volume
-
: us ISBN 9780387943633
Description
This book presents a systematic account of a class of stochastic processes known as cycle (or circuit) processes - so-called because they may be defined by directed cycles. These processes have special and important properties through the interaction between the geometric properties of the trajectories and the algebraic characterization of the Markov process. An important application of this approach is the insight it provides to electrical networks and the duality principle of networks. In particular, it provides an entirely new approach to infinite electrical networks and their applications in topics as diverse as random walks, the classification of Riemann surfaces, and to operator theory.
- Volume
-
: gw ISBN 9783540943631
Description
This is a systematic account of a class of stochastic processes known as cycle (or circuit) processes - so-called because they may be defined by directed cycles. These processes have special and important properties through the interaction between the geometric properties of the trajectories and the algebraic characterization of the Markov process. An important application of this approach is the insight it provides into electrical networks and the duality principle of networks. In particular, it provides an entirely new approach to infinite electrical networks and their applications in topics as diverse as random walks, the classification of Riemann surfaces, and to operator theory.
by "Nielsen BookData"