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Improved mixing rates for infinite measure-preserving systems

Published online by Cambridge University Press:  30 August 2013

DALIA TERHESIU*
Affiliation:
Dipartimento di Matematica, Universitá di Roma (Tor Vergata), Via della Ricerca Scientifica, 00133 Roma, Italy email [email protected]

Abstract

In this work, we introduce a new technique for operator renewal sequences associated with dynamical systems preserving an infinite measure that improves the results on mixing rates obtained by Melbourne and Terhesiu [Operator renewal theory and mixing rates for dynamical systems with infinite measure. Invent. Math. 1 (2012), 61–110]. Also, this technique allows us to offer a very simple proof of the key result of Melbourne and Terhesiu that provides first-order asymptotics of operator renewal sequences associated with dynamical systems with infinite measure. Moreover, combining techniques used in this work with techniques used by Melbourne and Terhesiu, we obtain first-order asymptotics of operator renewal sequences under some relaxed assumption on the first return map.

Type
Research Article
Copyright
© Cambridge University Press, 2013 

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References

Aaronson, J.. Random $f$-expansions. Ann. Probab. 14 (1986), 10371057.Google Scholar
Aaronson, J.. An Introduction to Infinite Ergodic Theory (Mathematical Surveys and Monographs, 50). American Mathematical Society, Providence, RI, 1997.Google Scholar
Aaronson, J. and Denker, M.. Local limit theorems for partial sums of stationary sequences generated by Gibbs–Markov maps. Stoch. Dyn. 1 (2001), 193237.CrossRefGoogle Scholar
Aaronson, J., Denker, M. and Urbański, M.. Ergodic theory for Markov fibred systems and parabolic rational maps. Trans. Amer. Math. Soc. 337 (1993), 495548.Google Scholar
Bingham, N. H., Goldie, C. M. and Teugels, J. L.. Regular Variation (Encyclopedia of Mathematics and its Applications, 27). Cambridge University Press, Cambridge, 1987.CrossRefGoogle Scholar
Darling, D. A. and Kac, M.. On occupation times for Markoff processes. Trans. Amer. Math. Soc. 84 (1957), 444458.Google Scholar
DeTemple, D. W.. A quicker convergence to the Euler constant. Amer. Math. Monthly 100 (1993), 468470.Google Scholar
Erickson, K. B.. Strong renewal theorems with infinite mean. Trans. Amer. Math. Soc. 151 (1970), 263291.Google Scholar
Feller, W.. An Introduction to Probability Theory and its Applications, II. Wiley, New York, 1966.Google Scholar
Garsia, A. and Lamperti, J.. A discrete renewal theorem with infinite mean. Comment. Math. Helv. 37 (1962/1963), 221234.Google Scholar
Gouëzel, S.. Sharp polynomial estimates for the decay of correlations. Israel J. Math. 139 (2004), 2965.Google Scholar
Gouëzel, S.. Characterization of weak convergence of Birkhoff sums for Gibbs–Markov maps. Israel J. Math. 180 (2010), 141.Google Scholar
Gouëzel, S.. Correlation asymptotics from large deviations in dynamical systems with infinite measure. Colloq. Math. 125 (2011), 193212.CrossRefGoogle Scholar
Gouëzel, S.. Berry–Esseen theorem and local limit theorem for non uniformly expanding maps. Ann. Inst. Henri Poincaré Probab. Stat. 41 (2005), 9971024.Google Scholar
Holland, M.. Slowly mixing systems and intermittency maps. Ergod. Th. & Dynam. Sys. 25 (2005), 133159.Google Scholar
Hu, H. and Vaienti, S.. Absolutely continuous invariant measures for non-uniformly hyperbolic maps. Ergod. Th. & Dynam. Sys. 29 (2009), 11851215.Google Scholar
Kato, T.. Perturbation Theory of Linear Operators (Grundlehren der Mathematischen Wissenschaften, 132). Springer, New York, 1976.Google Scholar
Lamperti, J.. Some limit theorems for stochastic processes. J. Math. Mech. 7 (1958), 433448.Google Scholar
Liverani, C., Saussol, B. and Vaienti, S.. A probabilistic approach to intermittency. Ergod. Th. & Dynam. Sys. 19 (1999), 671685.Google Scholar
Melbourne, I. and Terhesiu, D.. Operator renewal theory and mixing rates for dynamical systems with infinite measure. Invent. Math. 1 (2012), 61110.Google Scholar
Melbourne, I. and Terhesiu, D.. First and higher order uniform ergodic theorems for dynamical systems with infinite measure. Israel J. Math. 194 (2013), 793830.CrossRefGoogle Scholar
Pomeau, Y. and Manneville, P.. Intermittent transition to turbulence in dissipative dynamical systems. Comm. Math. Phys. 74 (1980), 189197.Google Scholar
Sarig, O. M.. Subexponential decay of correlations. Invent. Math. 150 (2002), 629653.Google Scholar
Thaler, M.. A limit theorem for the Perron–Frobenius operator of transformations on $[0, 1] $ with indifferent fixed points. Israel J. Math. 91 (1995), 111127.CrossRefGoogle Scholar
Thaler, M.. The Dynkin–Lamperti arc-sine laws for measure preserving transformations. Trans. Amer. Math. Soc. 350 (1998), 45934607.Google Scholar
Thaler, M. and Zweimüller, R.. Distributional limit theorems in infinite ergodic theory. Probab. Theory Related Fields 135 (2006), 1552.CrossRefGoogle Scholar
Zweimüller, R.. Ergodic properties of infinite measure-preserving interval maps with indifferent fixed points. Ergod. Th. & Dynam. Sys. 20 (2000), 15191549.Google Scholar
Zygmund, A.. Trigonometric Series. 2nd edn. Vol. 1, Cambridge University Press, Cambridge, 1968.Google Scholar