Pointwise ergodic theorems with rate and application to the CLT for Markov chains
Annales de l'I.H.P. Probabilités et statistiques (2009)
- Volume: 45, Issue: 3, page 710-733
- ISSN: 0246-0203
Access Full Article
topAbstract
topHow to cite
topCuny, Christophe, and Lin, Michael. "Pointwise ergodic theorems with rate and application to the CLT for Markov chains." Annales de l'I.H.P. Probabilités et statistiques 45.3 (2009): 710-733. <http://eudml.org/doc/78040>.
@article{Cuny2009,
abstract = {Let T be Dunford–Schwartz operator on a probability space (Ω, μ). For f∈Lp(μ), p>1, we obtain growth conditions on ‖∑k=1nTkf‖p which imply that (1/n1/p)∑k=1nTkf→0 μ-a.e. In the particular case that p=2 and T is the isometry induced by a probability preserving transformation we get better results than in the general case; these are used to obtain a quenched central limit theorem for additive functionals of stationary ergodic Markov chains, which improves those of Derriennic–Lin and Wu–Woodroofe.},
author = {Cuny, Christophe, Lin, Michael},
journal = {Annales de l'I.H.P. Probabilités et statistiques},
keywords = {ergodic theorems with rates; central limit theorem for Markov chains; Dunford–Schwartz operators; probability preserving transformations; Dunford-Schwartz operators},
language = {eng},
number = {3},
pages = {710-733},
publisher = {Gauthier-Villars},
title = {Pointwise ergodic theorems with rate and application to the CLT for Markov chains},
url = {http://eudml.org/doc/78040},
volume = {45},
year = {2009},
}
TY - JOUR
AU - Cuny, Christophe
AU - Lin, Michael
TI - Pointwise ergodic theorems with rate and application to the CLT for Markov chains
JO - Annales de l'I.H.P. Probabilités et statistiques
PY - 2009
PB - Gauthier-Villars
VL - 45
IS - 3
SP - 710
EP - 733
AB - Let T be Dunford–Schwartz operator on a probability space (Ω, μ). For f∈Lp(μ), p>1, we obtain growth conditions on ‖∑k=1nTkf‖p which imply that (1/n1/p)∑k=1nTkf→0 μ-a.e. In the particular case that p=2 and T is the isometry induced by a probability preserving transformation we get better results than in the general case; these are used to obtain a quenched central limit theorem for additive functionals of stationary ergodic Markov chains, which improves those of Derriennic–Lin and Wu–Woodroofe.
LA - eng
KW - ergodic theorems with rates; central limit theorem for Markov chains; Dunford–Schwartz operators; probability preserving transformations; Dunford-Schwartz operators
UR - http://eudml.org/doc/78040
ER -
References
top- [1] I. Assani and M. Lin. On the one-sided ergodic Hilbert transform. Contemp. Math. 430 (2007) 20–39. Zbl1134.47007MR2331323
- [2] G. Cohen and M. Lin. Extensions of the Menchoff–Rademacher theorem with applications to ergodic theory. Israel J. Math. 148 (2005) 41–86. Zbl1086.60019MR2191224
- [3] J. Dedecker and E. Rio. On the functional central limit theorem for stationary processes. Ann. Inst. H. Poincaré Probab. Statist. 36 (2000) 1–34. Zbl0949.60049MR1743095
- [4] Y. Derriennic. Some aspects of recent works on limit theorems in ergodic theory with special emphasis on the “central limit theorem.” Discrete Contin. Dyn. Syst. 15 (2006) 143–158. Zbl1107.37009MR2191389
- [5] Y. Derriennic and M. Lin. Fractional Poisson equations and ergodic theorems for fractional coboundaries. Israel J. Math. 123 (2001) 93–130. Zbl0988.47009MR1835290
- [6] Y. Derriennic and M. Lin. The central limit theorem for Markov chains with normal transition operators, started at a point. Probab. Theory Related Fields 119 (2001) 508–528. Zbl0974.60017MR1826405
- [7] Y. Derriennic and M. Lin. The central limit theorem for Markov chains started at a point. Probab. Theory Related Fields 125 (2003) 73–76. Zbl1012.60028MR1952457
- [8] Y. Derriennic and M. Lin. The central limit theorem for random walks on orbits of probability preserving transformations. Contemp. Math. 444 (2007) 31–51. Zbl1130.60026MR2423622
- [9] N. Dunford and J. Schwartz. Linear Operators, Part I. Wiley, New York. 1958. Zbl0084.10402MR1009162
- [10] N. Dunford and J. Schwartz. Linear Operators, Part II. Wiley, New York, 1963. Zbl0128.34803MR1009163
- [11] W. Feller. An Introduction to Probability Theory and Its Applications, Vol. II, 2nd edition. Wiley, New York, 1971. Zbl0219.60003MR270403
- [12] V. F. Gaposhkin. On the dependence of the convergence rate in the SLLN for stationary processes on the rate of decay of correlation function. Theory Probab. Appl. 26 (1981) 706–720. Zbl0488.60040MR636767
- [13] V. F. Gaposhkin. Spectral criteria for the existence of generalized ergodic transformations (in Russian). Teor. Veroyatnost. i Primenen. 41(2) (1996) 251–271. (Translation in Theory Probab. Appl. 41 (1996) 247–264 (1997).) Zbl0881.60038MR1445750
- [14] M. Gordin and B. Lifshitz. A central limit theorem for Markov process. Soviet Math. Doklady 19 (1978) 392–394. Zbl0395.60057
- [15] M. Gordin and B. Lifshitz. A remark about a Markov process with normal transition operator. Proc. Third Vilnius Conf. Probab. Statist. 147–148. Akad. Nauk Litovsk., Vilnius, 1981 (in Russian).
- [16] M. Gordin and B. Lifshitz. The central limit theorem for Markov processes with normal transition operator, and a strong form of the central limit theorem. In Limit Theorems for Functionals of Random Walks Sections IV.7 and IV.8. A. Borodin and I. Ibragimov (Eds). Proc. Steklov Inst. Math. 195, 1994. (English translation Amer. Math. Soc., Providence, RI, 1995.)
- [17] A. G. Kachurovskii. The rate of convergence in ergodic theorems. Russian Math. Surveys 51 (1996) 653–703. Zbl0880.60024MR1422228
- [18] C. Kipnis and S. R. Varadhan. Central limit theorem for additive functionals of reversible Markov processes and applications to simple exclusions. Comm. Math. Phys. 104 (1986) 1–19. Zbl0588.60058MR834478
- [19] U. Krengel. Ergodic Theorems. De Gruyter, Berlin, 1985. Zbl0575.28009MR797411
- [20] M. Maxwell and M. Woodroofe. Central limit theorems for additive functionals of Markov chains. Ann. Probab. 28 (2000) 713–724. Zbl1044.60014MR1782272
- [21] F. Moricz. Moment inequalities and the strong laws of large numbers. Z. Wahrsch. Verw. Gebiete 35 (1976) 299–314. Zbl0314.60023MR407950
- [22] M. Peligrad and S. Utev. A new maximal inequality and invariance principle for stationary sequences. Ann. Probab. 33 (2005) 798–815. Zbl1070.60025MR2123210
- [23] F. Rassoul-Agha and T. Seppäläinen. An almost sure invariance principle for additive functionals of Markov chains. Statist. Probab. Lett. 78 (2008) 854–860. Zbl1139.60317MR2398359
- [24] F. Riesz and B. Sz.-Nagy. Leçons D’analyse Fonctionnelle, 3rd edition. Akadémiai Kiadó, Budapest, 1955. Zbl0064.35404
- [25] M. Weber. Uniform bounds under increment conditions. Trans. Amer. Math. Soc. 358 (2006) 911–936. Zbl1078.60025MR2177045
- [26] W. B. Wu. Strong invariance principles for dependent random variables. Ann. Probab. 35 (2007) 2294–2320. Zbl1166.60307MR2353389
- [27] W. B. Wu and M. Woodroofe. Martingale approximations for sums of stationary processes. Ann. Probab. 32 (2004) 1674–1690. Zbl1057.60022MR2060314
- [28] O. Zhao and M. Woodroofe. Laws of the iterated logarithm for stationary processes. Ann. Probab. 36 (2008) 127–142. Zbl1130.60039MR2370600
- [29] A. Zygmund. Trigonometric Series, corrected 2nd edition. Cambridge Univ. Press, Cambridge, UK, 1969. Zbl0367.42001
NotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.