Cargando…
An introduction to branching measure-valued processes
For about half a century, two classes of stochastic processes-Gaussian processes and processes with independent increments-have played an important role in the development of stochastic analysis and its applications. During the last decade, a third class-branching measure-valued (BMV) processes-has...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
American Mathematical Society
1994
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2279784 |
Sumario: | For about half a century, two classes of stochastic processes-Gaussian processes and processes with independent increments-have played an important role in the development of stochastic analysis and its applications. During the last decade, a third class-branching measure-valued (BMV) processes-has also been the subject of much research. A common feature of all three classes is that their finite-dimensional distributions are infinitely divisible, allowing the use of the powerful analytic tool of Laplace (or Fourier) transforms. All three classes, in an infinite-dimensional setting, provide means for study of physical systems with infinitely many degrees of freedom. This is the first monograph devoted to the theory of BMV processes. Dynkin first constructs a large class of BMV processes, called superprocesses, by passing to the limit from branching particle systems. Then he proves that, under certain restrictions, a general BMV process is a superprocess. A special chapter is devoted to the connections between superprocesses and a class of nonlinear partial differential equations recently discovered by Dynkin. |
---|