Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-23T00:02:32.403Z Has data issue: false hasContentIssue false

Bisexual branching diffusions

Published online by Cambridge University Press:  01 July 2016

Leonid Mytnik*
Affiliation:
Technion-Israel Institute of Technology
Robert J. Adler*
Affiliation:
Technion-Israel Institute of Technology
*
* Postal address: Faculty of Industrial Engineering and Management, Technion-Israel Institute of Technology, Haifa 32000, Israel.
* Postal address: Faculty of Industrial Engineering and Management, Technion-Israel Institute of Technology, Haifa 32000, Israel.

Abstract

We study the limiting behaviour of large systems of two types of Brownian particles undergoing bisexual branching. Particles of each type generate individuals of both types, and the respective branching law is asymptotically critical for the two-dimensional system, while being subcritical for each individual population.

The main result of the paper is that the limiting behaviour of suitably scaled sums and differences of the two populations is given by a pair of measure and distribution valued processes which, together, determine the limit behaviours of the individual populations.

Our proofs are based on the martingale problem approach to general state space processes. The fact that our limit involves both measure and distribution valued processes requires the development of some new methodologies of independent interest.

Type
General Applied Probability
Copyright
Copyright © Applied Probability Trust 1995 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Research supported in part by US-Israel Binational Science Foundation (92-074), and Israel Academy of Sciences (025-93).

References

[1] Athreya, K. and Ney, P. (1977) Branching Processes. Springer-Verlag, Berlin.Google Scholar
[2] Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
[3] Billingsley, P. (1979) Probability and Measure. Wiley, New York.Google Scholar
[4] Dawson, D. (1991) Measure-valued processes. Ecole d'été de Probabilités de Saint Flour XXI. Springer Lecture Notes in Mathematics 1541, pp. 1260.Google Scholar
[5] Ethier, S. N. and Kurtz, T. G. (1986) Markov Processes: Characterization and Convergence. Wiley, New York.Google Scholar
[6] Hida, T. (1980) Brownian Motion. Springer-Verlag, New York.Google Scholar
[7] Jakubowski, A. (1986) On the Skorohod topology. Ann. Inst. H. Poincaré B22, 263285.Google Scholar
[8] Kurtz, T. (1978) Diffusion approximation for branching processes. Adv. Prob. Rel. Fields 5, 269292.Google Scholar
[9] Mitoma, I. (1983) On the sample continuity of S'-processes. J. Math. Soc. Japan 35, 629636.Google Scholar
[10] Mitoma, I. (1983) Tightness of probabilities on C([0, 1]; S') and D(([0,12]; S'). Ann. Prob. 11, 989999.Google Scholar
[11] Pazy, A. (1983) Semigroups of Linear Operators and Applications to Partial Differential Equations. Springer-Verlag, New York.Google Scholar
[12] Perkins, E. (1990) Lecture notes on superprocesses. Handwritten manuscript.Google Scholar
[13] Roelly-Coppoletta, S. (1989) A criterion of convergence of measure-valued processes: application to measure branching processes. Stochastics 17, 4365.Google Scholar
[14] Watanabe, S. (1968) A limit theorem of branching processes and continuous state branching processes. J. Math. Kyoto Univ. 8, 141167.Google Scholar