On the central limit theorem for some birth and death processes

Tymoteusz Chojecki

Annales UMCS, Mathematica (2011)

  • Volume: 65, Issue: 1, page 21-31
  • ISSN: 2083-7402

Abstract

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Suppose that {Xn, n ≥ 0} is a stationary Markov chain and V is a certain function on a phase space of the chain, called an observable. We say that the observable satisfies the central limit theorem (CLT) if [...] [...] converge in law to a normal random variable, as N → +∞. For a stationary Markov chain with the L2 spectral gap the theorem holds for all V such that V (X0) is centered and square integrable, see Gordin [7]. The purpose of this article is to characterize a family of observables V for which the CLT holds for a class of birth and death chains whose dynamics has no spectral gap, so that Gordin's result cannot be used and the result follows from an application of Kipnis-Varadhan theory.

How to cite

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Tymoteusz Chojecki. "On the central limit theorem for some birth and death processes." Annales UMCS, Mathematica 65.1 (2011): 21-31. <http://eudml.org/doc/267629>.

@article{TymoteuszChojecki2011,
abstract = {Suppose that \{Xn, n ≥ 0\} is a stationary Markov chain and V is a certain function on a phase space of the chain, called an observable. We say that the observable satisfies the central limit theorem (CLT) if [...] [...] converge in law to a normal random variable, as N → +∞. For a stationary Markov chain with the L2 spectral gap the theorem holds for all V such that V (X0) is centered and square integrable, see Gordin [7]. The purpose of this article is to characterize a family of observables V for which the CLT holds for a class of birth and death chains whose dynamics has no spectral gap, so that Gordin's result cannot be used and the result follows from an application of Kipnis-Varadhan theory.},
author = {Tymoteusz Chojecki},
journal = {Annales UMCS, Mathematica},
keywords = {Central limit theorem; Markov chain; Lamperti's problem; birth and death processes; Kipnis-Varadhan theory; spectral gap; central limit theorem},
language = {eng},
number = {1},
pages = {21-31},
title = {On the central limit theorem for some birth and death processes},
url = {http://eudml.org/doc/267629},
volume = {65},
year = {2011},
}

TY - JOUR
AU - Tymoteusz Chojecki
TI - On the central limit theorem for some birth and death processes
JO - Annales UMCS, Mathematica
PY - 2011
VL - 65
IS - 1
SP - 21
EP - 31
AB - Suppose that {Xn, n ≥ 0} is a stationary Markov chain and V is a certain function on a phase space of the chain, called an observable. We say that the observable satisfies the central limit theorem (CLT) if [...] [...] converge in law to a normal random variable, as N → +∞. For a stationary Markov chain with the L2 spectral gap the theorem holds for all V such that V (X0) is centered and square integrable, see Gordin [7]. The purpose of this article is to characterize a family of observables V for which the CLT holds for a class of birth and death chains whose dynamics has no spectral gap, so that Gordin's result cannot be used and the result follows from an application of Kipnis-Varadhan theory.
LA - eng
KW - Central limit theorem; Markov chain; Lamperti's problem; birth and death processes; Kipnis-Varadhan theory; spectral gap; central limit theorem
UR - http://eudml.org/doc/267629
ER -

References

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  1. Chen, M., Eigenvalues, Inequalities, and Ergodic Theory, Springer-Verlag, London, 2005. 
  2. Chung, K. L., Markov Chains with Stationary Transition Probabilities, 2nd edition, Springer-Verlag, Berlin, 1967. Zbl0146.38401
  3. De Masi, A., Ferrari, P. A., Goldstein, S. and Wick, W. D., An invariance principle for reversible Markov processes. Applications to random motions in random environments, J. Statist. Phys. 55 (1989). Zbl0713.60041
  4. Doeblin, W., Sur deux proble'mes de M. Kolmogoroff concernant les chaines dénombrables, Bull. Soc. Math. France 66 (1938), 210-220. Zbl0020.14604
  5. Durrett, R., Probability Theory and Examples, Wadsworth Publishing Company, Belmont, 1996. Zbl1202.60001
  6. Feller, W., An Introduction to Probability Theory and its Applications, Vol. II. Second edition, John Wiley & Sons, Inc., New York-London-Sydney, 1971. Zbl0219.60003
  7. Gordin, M. I., The central limit theorem for stationary processes, Dokl. Akad. Nauk SSSR 188 (1969), 739-741 (Russian). Zbl0212.50005
  8. Kipnis, C., Varadhan, S. R. S., Central limit theorem for additive functionals of reversible Markov processes and applications to simple exclusions, Comm. Math. Phys. 104, no. 1 (1986), 1-19. Zbl0588.60058
  9. Liggett, T., Stochastic Interacting Systems: Contact, Voter and Exclusion Processes, Grund. der Math. Wissen., 324, Springer-Verlag, Berlin, 1999. Zbl0949.60006
  10. Menshikov, M.,Wade, A., Rate of escape and central limit theorem for the supercritical Lamperti problem, Stochastic Process. Appl. 120 (2010), 2078-2099.[WoS] Zbl1207.60032
  11. Olla, S., Notes on Central Limits Theorems for Tagged Particles and Diffusions in Random Environment, Etats de la recherche: Milieux Aleatoires CIRM, Luminy, 2000. 

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