Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-25T04:46:13.987Z Has data issue: false hasContentIssue false

Weighted Occupation Time for Branching Particle Systems and a Representation for the Supercritical Superprocess

Published online by Cambridge University Press:  20 November 2018

Steven N. Evans
Affiliation:
Department of Statistics, University of California Berkeley, California 94720 U.S.A.
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We obtain a representation for the supercritical Dawson-Watanabe superprocessin terms of a subcritical superprocess with immigration, where the immigration at a given time is governed by the state of an underlying branching particle system. The proof requires a new result on the laws of weighted occupation times for branching particle systems.

Type
Research Article
Copyright
Copyright © Canadian Mathematical Society 1994

References

1. Aldous, D., The continuum random tree II: an overview, Stochastic Analysis, Cambridge University Press, (eds. M. T. Barlow and N. H. Bingham), 1991.Google Scholar
2. Cox, J. T and Griffeath, D., Occupation times for critical branching Brownian motions, Ann. Probab. (4) 13(1985), 11081132.Google Scholar
3. Dawson, D. A., In: Col. Math. Soc. Bolyai, (1978), 27-47.Google Scholar
4. Dynkin, E. B., Superprocesses and their linear additive junctionals, Trans. Amer. Math. Soc. (1) 314(1989), 255282.Google Scholar
5. Dynkin, E. B., Branching particle systems and superprocesses, Ann. Probab. (3) 19(1991), 11571194.Google Scholar
6. Dynkin, E. B., A type of interaction between superprocesses and branching particle systems, (1993), preprint.Google Scholar
7. Evans, S. N., Two representations of a conditioned superprocess, Proc. Roy. Soc. Edinburgh, to appear.Google Scholar
8. Evans, S. N. and Perkins, E. A., Measure-valued Markov branching processes conditioned on nonextinction, Israel J. Math. (3) 71(1990), 329337.Google Scholar
9. Fitzsimmons, P. J., Construction and regularity of measure-valued branching processes, Israel J. Math.64(1990), 337361.Google Scholar
10. Iscoe, I., A weighted occupation time for a class of measure-valued branching processes, Probab. Theor. Relat. Fields 71(1986), 85116.Google Scholar
11. Kallenberg, O., Random Measures, Academic Press, New York, 1983.Google Scholar
12. O'Connell, N., The Genealogy of Branching Processes, Ph.thesis, D., University of California, Berkeley, 1993.Google Scholar
13. O'Connell, N., Yule process approximationfor the skeleton of a branching process, J. Appl. Probab., 30(1993), 725729.Google Scholar
14. Pazy, A., Semigroups of Linear Operators and Applications to Partial Differential Equations, Springer- Verlag, New York, 1983.Google Scholar
15. Roelly-Coppoletta, S. and Rouault, A., Processus de Dawson-Wantanabe conditionné par le futur lointain, C. R. Acad. Sci. Paris 309(1989), 867872.Google Scholar
16. Rogers, L. C. G. and Pitman, J. W., Markov functions, Ann. Probab. (4) 9(1981), 573582.Google Scholar
17. Segal, I., Non-linear semigroups, Ann. Math. 78(1963), 339364.Google Scholar
18. Williams, D., Diffusions, Markov Processes, and Martingales, Volume 1: Foundations, Wiley, New York, 1979.Google Scholar