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Central Limit Theorem Started at a Point for Stationary Processes and Additive Functionals of Reversible Markov Chains

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Abstract

In this paper we study the almost sure central limit theorem started at a point for additive functionals of a stationary and ergodic Markov chain via a martingale approximation in the almost sure sense. Some of the results provide sufficient conditions for general stationary sequences. We use these results to study the quenched CLT for additive functionals of reversible Markov chains.

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References

  1. Billingsley, P.: Convergence of Probability Measures, 2nd edn. Wiley, New York (1999)

    Book  MATH  Google Scholar 

  2. Borodin, A.N., Ibragimov, I.A.: Limit theorems for functionals of random walks. Tr. Mat. Inst. Steklov., 195 (1994). Transl. into English: Proc. Steklov Inst. Math. 195(2) (1995)

  3. Cuny, C.: Pointwise ergodic theorems with rate and application to limit theorems for stationary processes. Stoch. Dyn. (2009, to appear). arXiv:0904.0185v1

  4. Cuny, C.: Some optimal pointwise ergodic theorems with rate. C. R. Acad. Sci. Paris 347, 953–958 (2009)

    MathSciNet  MATH  Google Scholar 

  5. Cuny, C. Lin, M.: Pointwise ergodic theorems with rate and application to the CLT for Markov chains. Ann. Inst. H. Poincará Probab. Stat. 45, 710–733 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  6. Derriennic, Y., Lin, M.: Sur le théorème limite central de Kipnis et Varadhan pour les chaîne réversibles ou normales. C. R. Acad. Sci. Paris, Sér. I 323, 1053–1057 (1996)

    MathSciNet  MATH  Google Scholar 

  7. Derriennic, Y., Lin, M.: The central limit thorem for Markov chains with normal transition operators started at a point. Probab. Theory Relat. Fields 119, 508–528 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  8. Derriennic, Y., Lin, M.: Fractional Poisson equations and ergodic theorems for fractional coboundaries. Isr. J. Math. 123, 93–130 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  9. Derriennic, Y., Lin, M.: The central limit theorem for random walks on orbits of probability preserving transformations. Contemp. Math. 444, 31–51 (2007)

    Article  MathSciNet  Google Scholar 

  10. Feller, W.: An Introduction to Probability Theory and Its Applications. Vol. II, 2nd edn. Wiley, New York (1971)

    MATH  Google Scholar 

  11. Gordin, M.I., Lifshitz, B.: A remark about a Markov process with normal transition operator. Third Vilnius Conf. Probab. Stat., Akad. Nauk Litovsk 1, 147–148 (1981) (in Russian)

    Google Scholar 

  12. Heyde, C.C.: On the central limit theorem for stationary processes. Z. Wahrscheinlichkeitstheor. Verw. Geb. 30, 315–320 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  13. Kipnis, C., Varadhan, S.R.S.: Central limit theorem for additive functionals of reversible Markov processes and applications to simple exclusions. Commun. Math. Phys. 104, 1–19 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  14. Maxwell, M., Woodroofe, M.: Central limit theorems for additive functionals of Markov chains. Ann. Probab. 28, 713–724 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  15. Merlevède, F., Peligrad, M., Utev, S.: Recent advances in invariance principles for stationary sequences. Probab. Surv. 3, 1–36 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  16. Moricz, F.A., Serfling, R.J., Stout, W.F.: Moment and probability bounds with quasi-superadditive structure for the maximum partial sum. Ann. Probab. 10, 1032–1040 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  17. Peligrad, M., Utev, S.: Central limit theorem for stationary linear processes. Ann. Probab. 34, 1608–1622 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  18. Volný, D., Woodroofe, M.: An example of non-quenched convergence in the conditional central limit theorem for partial sums of a linear process. Dependence in analysis, probability and number theory (The Phillipp memorial volume), pp. 317–323. Kendrick Press (2010)

  19. Zhao, O., Woodroofe, M.: On Martingale approximations. Ann. Appl. Probab. 18, 1831–1847 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  20. Wu, W.B.: Strong invariance principles for dependent random variables. Ann. Probab. 35, 2294–2320 (2007)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Magda Peligrad.

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M. Peligrad’s research was supported in part by a Charles Phelps Taft Memorial Fund grant and NSA grant H98230-09-1-0005.

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Cuny, C., Peligrad, M. Central Limit Theorem Started at a Point for Stationary Processes and Additive Functionals of Reversible Markov Chains. J Theor Probab 25, 171–188 (2012). https://doi.org/10.1007/s10959-010-0321-8

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  • DOI: https://doi.org/10.1007/s10959-010-0321-8

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