Skip to main content

Asymptotic Results for Near Critical Bienaymé–Galton–Watson and Catalyst-Reactant Branching Processes

  • Conference paper
  • First Online:
Advances in Superprocesses and Nonlinear PDEs

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 38))

  • 907 Accesses

Abstract

Near critical single-type Bienaymé–Galton–Watson (BGW) processes are considered. Results on convergence of Yaglom distributions of suitably scaled BGW processes to that of the corresponding diffusion approximation are given. Convergences of stationary distributions for Q-processes and models with immigration to the corresponding distributions of the associated diffusion approximations are established. Similar results can be obtained in a multitype setting. To illustrate this, a result on convergence of Yaglom distributions of suitably scaled multitype subcritical BGW processes to that of the associated diffusion model is presented.

In the second part, near critical catalyst-reactant branching processes with controlled immigration are considered. The reactant population evolves according to a branching process whose branching rate is proportional to the total mass of the catalyst. The bulk catalyst evolution is that of a classical continuous-time branching process; in addition, there is a specific form of immigration. Immigration takes place exactly when the catalyst population falls below a certain threshold, in which case the population is instantaneously replenished to the threshold. A diffusion limit theorem for the scaled processes is presented, in which the catalyst limit is described through a reflected diffusion, while the reactant limit is a diffusion with coefficients that are functions of both the reactant and the catalyst. Stochastic averaging under fast catalyst dynamics is considered next. In the case where the catalyst evolves “much faster” than the reactant, a scaling limit, in which the reactant is described through a one-dimensional SDE with coefficients depending on the invariant distribution of the reflected diffusion, is obtained.

This research is partially supported by the National Science Foundation (DMS-1004418, DMS-1016441), the Army Research Office (W911NF-10-1-0158), NSF Emerging Frontiers in Research and Innovation (EFRI) (Grant CBE0736007), and the US-Israel Binational Science Foundation (Grant 2008466).

AMS subject classifications (2000): Primary 60J80; secondary 60F05.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. K. B. Athreya and P. Ney. Branching Processes. Springer-Verlag, 1972.

    Google Scholar 

  2. A. Budhiraja and D. Reinhold. Near critical catalyst reactant branching processes with controlled immigration. Annals of Applied Probability (to appear), arXiv:1203.6879 [math.PR].

    Google Scholar 

  3. A. Budhiraja and D. Reinhold. Some asymptotic results for near critical branching processes. Communications on Stochastic Analysis, Vol. 4, No. 1:91–113, 2010.

    MathSciNet  Google Scholar 

  4. D. A. Dawson and K. Fleischmann. A continuous super-brownian motion in a super-brownian medium. Journal of Theoretical Probability, 10, No. 1:213–276, 1997.

    Google Scholar 

  5. S. N. Ethier and T. G. Kurtz. Markov Processes: Characterization and Convergence. Wiley, 1986.

    Google Scholar 

  6. W. Feller. Diffusion processes in genetics. Proc. Second Berkeley Symp. on Math. Statist. and Prob., pages 227–246, 1951.

    Google Scholar 

  7. A. Greven, L. Popovic, and A. Winter. Genealogy of catalytic branching models. The Annals of Applied Probability, 19:1232–1272, 2009.

    Article  MathSciNet  MATH  Google Scholar 

  8. A. Joffe and M. Metivier. Weak convergence of sequences of semimartingales with applications to multitype branching processes. Advances in Applied Probability, Vol. 18:pp. 20–65, 1986.

    Article  MathSciNet  MATH  Google Scholar 

  9. H.-W. Kang and T. G. Kurtz. Separation of time-scales and model reduction for stochastic reaction networks. Annals of Applied Probability (to appear), arXiv:1011.1672 [math.PR].

    Google Scholar 

  10. S. Karlin. A First Course in Stochastic Processes. Academic Press, 1966.

    Google Scholar 

  11. A. Lambert. Quasi-stationary distributions and the continuous branching process conditioned to be never extinct. Electronic Journal of Probability, 12:420–446, 2007.

    Article  MathSciNet  MATH  Google Scholar 

  12. A. Lambert. Population dynamics and random genealogies. Stochastic Models, 24:45–163, 2008.

    Article  MathSciNet  MATH  Google Scholar 

  13. J. Lamperti and P. Ney. Conditioned branching processes and their limiting diffusions. Theory of Probbility and its Applications, 13:128–139, 1968.

    Article  MathSciNet  Google Scholar 

  14. Z. Li. A limit theorem for discrete Galton-Watson branching processes with immigration. Journal of Applied Probability, 43:289–295, 2006.

    Article  MathSciNet  MATH  Google Scholar 

  15. Z. Li and C. Ma. Catalytic discrete state branching models and related limit theorems. Journal of Theoretical Probability, 21:936–965, 2008.

    Article  MathSciNet  MATH  Google Scholar 

  16. Z.-H. Li. Asymptotic behaviour of continuous time and state branching processes. J. Austral. Math. Soc., (Series A) 68:68–84, 2000.

    Google Scholar 

  17. M. P. Quine. The multitype Galton-Watson process with ρ near 1. Advances in Applied Probability, 4:pp.429–452, 1972.

    Article  MathSciNet  MATH  Google Scholar 

  18. D. Reinhold. Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data. PhD thesis, University of North Carolina at Chapel Hill, NC, USA, 2011.

    Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge the valuable feedback from the referee which, in particular, led to a simplification of Condition 2.1.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dominik Reinhold .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this paper

Cite this paper

Budhiraja, A., Reinhold, D. (2013). Asymptotic Results for Near Critical Bienaymé–Galton–Watson and Catalyst-Reactant Branching Processes. In: Englander, J., Rider, B. (eds) Advances in Superprocesses and Nonlinear PDEs. Springer Proceedings in Mathematics & Statistics, vol 38. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-6240-8_4

Download citation

Publish with us

Policies and ethics