Multiray generalization of the arcsine laws for occupation times of infinite ergodic transformations
Toru Sera, Kouji Yano

TL;DR
This paper extends classical arcsine laws to multidimensional occupation time ratios in infinite measure ergodic transformations, providing new convergence results applicable to interval maps and Markov chains.
Contribution
It introduces a multidimensional generalization of Lamperti's arcsine distribution for occupation times in infinite ergodic systems using the double Laplace transform method.
Findings
Joint distribution converges to a multidimensional arcsine law
Results apply to interval maps and Markov chains
Method utilizes double Laplace transform
Abstract
We prove that the joint distribution of the occupation time ratios for ergodic transformations preserving an infinite measure converges to a multidimensional version of Lamperti's generalized arcsine distribution, in the sense of strong distributional convergence. Our results can be applied to interval maps and Markov chains. We adopt the double Laplace transform method, which has been utilized in the study of occupation times of diffusions on multiray. We also discuss the inverse problem.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and financial applications · Stochastic processes and statistical mechanics
