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Functional ergodic limits for occupation time processes of site-dependent branching Brownian motions in ℝ

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Abstract

We consider a kind of site-dependent branching Brownian motions whose branching laws depend on the site-branching factor σ(·). We focus on the functional ergodic limits for the occupation time processes of the models in ℝ. It is proved that the limiting process has the form of λξ(·), where λ is the Lebesgue measure on ℝ and ξ(·) is a real-valued process which is non-degenerate if and only if σ is integrable. When ξ(·) is non-degenerate, it is strictly positive for t > 0. Moreover, ξ converges to 0 in finite-dimensional distributions if the integral of σ tends to infinity.

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References

  1. Billingsley P. Convergence of Probability Measures. New York: Wiley, 1968

    MATH  Google Scholar 

  2. Bojdecki T, Gorostiza L, Talarczyk A. Limit theorem for occupation time fluctuations of branching systems I: Longrange dependence. Stochastic Process Appl, 2006, 116: 1–18

    Article  MATH  MathSciNet  Google Scholar 

  3. Cox J T, Griffeath D. Occupation time limit theorems for the voter model. Ann Probab, 1983, 11: 876–893.

    Article  MATH  MathSciNet  Google Scholar 

  4. Cox J T, Griffeath D. Occupation times for critical branching Brownian motions. Ann Probab, 1985, 13: 1108–1132

    Article  MATH  MathSciNet  Google Scholar 

  5. Dynkin E B. Branching particle systems and superprocesses. Ann Probab, 1991, 19: 1157–1194

    MATH  MathSciNet  Google Scholar 

  6. Iscoe I. A weighted occupation time for a class of measure-valued branching processes. Probab Theory Related Fields, 1986, 71: 85–116

    MATH  MathSciNet  Google Scholar 

  7. Iscoe I. Ergodic theory and a local occupation time for measure-valued critical branching Brownian motion. Stochastics, 1986, 18: 197–243

    MATH  MathSciNet  Google Scholar 

  8. Li Z. Measure-Valued Branching Markov Processes. New York: Springer, 2010

    Google Scholar 

  9. Mitoma I. Tightness of probability on and . Ann Probab, 1983, 11: 989–999

    MATH  MathSciNet  Google Scholar 

  10. Pinsky R. Invariant probability distributions for measure-valued diffusions. Ann Probab, 2001, 29: 1476–1514

    MATH  MathSciNet  Google Scholar 

  11. Protter M, Weinberge H. Maximum Principle in Differential Equations. New York: Springer, 1984

    Google Scholar 

  12. Talarczyk A. A functional ergodic theorem for the occupation time process of a branching system. Statist Probab Lett, 2008 78: 847–853

    MATH  MathSciNet  Google Scholar 

  13. Sato K. Lévy Processes and Infinitely Divisible Distributions. Cambridge: Cambridge University Press, 1999

    MATH  Google Scholar 

  14. Sawyer S, Fleischman J. Maximum geographic range of a mutant allele considered as a subtype of a Brownian branching random field. Proc Natl Acad Sci USA, 1979, 76: 872–875

    MATH  Google Scholar 

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Correspondence to YuQiang Li.

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Li, Y. Functional ergodic limits for occupation time processes of site-dependent branching Brownian motions in ℝ. Sci. China Math. 57, 2053–2072 (2014). https://doi.org/10.1007/s11425-014-4839-6

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  • DOI: https://doi.org/10.1007/s11425-014-4839-6

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