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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...
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Lenguaje: | eng |
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American Mathematical Society
1994
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Acceso en línea: | http://cds.cern.ch/record/2279784 |
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author | Dynkin, Eugene B |
author_facet | Dynkin, Eugene B |
author_sort | Dynkin, Eugene B |
collection | CERN |
description | 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. |
id | cern-2279784 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 1994 |
publisher | American Mathematical Society |
record_format | invenio |
spelling | cern-22797842021-04-21T19:05:36Zhttp://cds.cern.ch/record/2279784engDynkin, Eugene BAn introduction to branching measure-valued processesMathematical Physics and MathematicsFor 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.American Mathematical Societyoai:cds.cern.ch:22797841994 |
spellingShingle | Mathematical Physics and Mathematics Dynkin, Eugene B An introduction to branching measure-valued processes |
title | An introduction to branching measure-valued processes |
title_full | An introduction to branching measure-valued processes |
title_fullStr | An introduction to branching measure-valued processes |
title_full_unstemmed | An introduction to branching measure-valued processes |
title_short | An introduction to branching measure-valued processes |
title_sort | introduction to branching measure-valued processes |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/2279784 |
work_keys_str_mv | AT dynkineugeneb anintroductiontobranchingmeasurevaluedprocesses AT dynkineugeneb introductiontobranchingmeasurevaluedprocesses |