Law of the iterated logarithm for some Markov operators

The Law of the Iterated Logarithm for some Markov operators, which converge exponentially to the invariant measure, is established. The operators correspond to iterated function systems which, for example, may be used to generalize the cell cycle model examined by A. Lasota and M.C. Mackey, J. Math. Biol. (1999).

[1]  V. Strassen An invariance principle for the law of the iterated logarithm , 1964 .

[2]  Bolt Witold,et al.  An invariance principle for the law of the iterated logarithm for some Markov chains , 2011, 1108.5568.

[3]  Maciej Ślęczka The rate of convergence for iterated function systems , 2011 .

[4]  R. Bass,et al.  Review: P. Billingsley, Convergence of probability measures , 1971 .

[5]  R. Fortet,et al.  Convergence de la répartition empirique vers la répartition théorique , 1953 .

[6]  Kim Nasmyth,et al.  The cell cycle , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[7]  Volker Strassen,et al.  Almost sure behavior of sums of independent random variables and martingales , 1967 .

[8]  C. Villani Optimal Transport: Old and New , 2008 .

[9]  Hanna Wojew'odka,et al.  Exponential rate of convergence for some Markov operators , 2013, 1506.07427.

[10]  R. Zaharopol Invariant Probabilities of Markov-Feller Operators and Their Supports , 2005 .

[11]  C. C. Heyde,et al.  Invariance Principles for the Law of the Iterated Logarithm for Martingales and Processes with Stationary Increments , 1973 .

[12]  T. Szarek,et al.  PR ] 2 1 Ju l 2 01 5 Limit theorems for some Markov operators , 2015 .

[13]  Michael Woodroofe,et al.  Central limit theorems for additive functionals of Markov chains , 2000 .

[14]  T. Szarek,et al.  Existence of a unique invariant measure for a class of equicontinuous Markov operators with application to a stochastic model for an autoregulated gene , 2016 .

[15]  Martin Hairer,et al.  Exponential mixing properties of stochastic PDEs through asymptotic coupling , 2001, math/0109115.

[16]  Richard L. Tweedie,et al.  Markov Chains and Stochastic Stability , 1993, Communications and Control Engineering Series.

[17]  T. Szarek,et al.  An invariance principle for the law of the iterated logarithm for some Markov chains , 2012 .

[18]  J J Tyson,et al.  Cell growth and division: a deterministic/probabilistic model of the cell cycle , 1986, Journal of mathematical biology.

[19]  P. Hall,et al.  Martingale Limit Theory and Its Application , 1980 .

[20]  Michael C. Mackey,et al.  Cell division and the stability of cellular populations , 1999 .

[21]  P. Hall,et al.  Martingale Limit Theory and its Application. , 1984 .

[22]  Jim Freeman Probability Metrics and the Stability of Stochastic Models , 1991 .

[23]  Tomasz Szarek,et al.  The law of the iterated logarithm for passive tracer in a two‐dimensional flow , 2014, J. Lond. Math. Soc..

[24]  V. Hu The Cell Cycle , 1994, GWUMC Department of Biochemistry Annual Spring Symposia.