English

Nonconventional limit theorems in discrete and continuous time via martingales

Probability 2014-02-26 v4 Dynamical Systems

Abstract

We obtain functional central limit theorems for both discrete time expressions of the form 1/Nn=1[Nt](F(X(q1(n)),,X(q(n)))Fˉ)1/\sqrt{N}\sum_{n=1}^{[Nt]}(F(X(q_1(n)),\ldots, X(q_{\ell}(n)))-\bar{F}) and similar expressions in the continuous time where the sum is replaced by an integral. Here X(n),n0X(n),n\geq0 is a sufficiently fast mixing vector process with some moment conditions and stationarity properties, FF is a continuous function with polynomial growth and certain regularity properties, Fˉ=Fd(μ××μ)\bar{F}=\int F\,d(\mu\times\cdots\times\mu), μ\mu is the distribution of X(0)X(0) and qi(n)=inq_i(n)=in for iki\le k\leq\ell while for i>ki>k they are positive functions taking on integer values on integers with some growth conditions which are satisfied, for instance, when qiq_i's are polynomials of increasing degrees. These results decisively generalize [Probab. Theory Related Fields 148 (2010) 71-106], whose method was only applicable to the case k=2k=2 under substantially more restrictive moment and mixing conditions and which could not be extended to convergence of processes and to the corresponding continuous time case. As in [Probab. Theory Related Fields 148 (2010) 71-106], our results hold true when Xi(n)=TnfiX_i(n)=T^nf_i, where TT is a mixing subshift of finite type, a hyperbolic diffeomorphism or an expanding transformation taken with a Gibbs invariant measure, as well as in the case when Xi(n)=fi(Υn)X_i(n)=f_i({\Upsilon }_n), where Υn{\Upsilon }_n is a Markov chain satisfying the Doeblin condition considered as a stationary process with respect to its invariant measure. Moreover, our relaxed mixing conditions yield applications to other types of dynamical systems and Markov processes, for instance, where a spectral gap can be established. The continuous time version holds true when, for instance, Xi(t)=fi(ξt)X_i(t)=f_i(\xi_t), where ξt\xi_t is a nondegenerate continuous time Markov chain with a finite state space or a nondegenerate diffusion on a compact manifold. A partial motivation for such limit theorems is due to a series of papers dealing with nonconventional ergodic averages.

Keywords

Cite

@article{arxiv.1012.2223,
  title  = {Nonconventional limit theorems in discrete and continuous time via martingales},
  author = {Yuri Kifer and S. R. S. Varadhan},
  journal= {arXiv preprint arXiv:1012.2223},
  year   = {2014}
}

Comments

Published in at http://dx.doi.org/10.1214/12-AOP796 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-21T16:56:26.176Z