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Large deviations for occupation and waiting times of infinite ergodic transformations

Toru Sera

TL;DR

The paper develops a unified large-deviation theory for occupation and waiting times in infinite-measure dynamical systems, tying together Dynkin--Lamperti, Darling--Kac, and Lamperti arcsine-type laws under a common set of regular-variation and uniform-sweeping hypotheses. By employing a double Laplace transform approach, it yields explicit asymptotics for quantities like $\mu_H(Z^Y_n/n\le c(n))$ and $\mu_{1_Y}(S^Y_n/a(n)\le c(n))$, with tails governed by $\alpha\in(0,1)$ and slowly varying functions. The results are then extended to multi-set settings $A_i$ (Lamperti-type laws) and applied to Thaler's intermittent maps, demonstrating sharp large-deviation estimates for systems with infinite invariant measures. This framework provides a rigorous bridge between renewal-type limit theorems in infinite ergodic theory and precise large-deviation tails, with potential consequences for the study of intermittent dynamics and related stochastic processes.

Abstract

We establish large deviation estimates related to the Darling--Kac theorem and generalized arcsine laws for occupation and waiting times of ergodic transformations preserving an infinite measure, such as non-uniformly expanding interval maps with indifferent fixed points. For the proof, we imitate the study of generalized arcsine laws for occupation times of one-dimensional diffusion processes and adopt a method of double Laplace transform.

Large deviations for occupation and waiting times of infinite ergodic transformations

TL;DR

The paper develops a unified large-deviation theory for occupation and waiting times in infinite-measure dynamical systems, tying together Dynkin--Lamperti, Darling--Kac, and Lamperti arcsine-type laws under a common set of regular-variation and uniform-sweeping hypotheses. By employing a double Laplace transform approach, it yields explicit asymptotics for quantities like and , with tails governed by and slowly varying functions. The results are then extended to multi-set settings (Lamperti-type laws) and applied to Thaler's intermittent maps, demonstrating sharp large-deviation estimates for systems with infinite invariant measures. This framework provides a rigorous bridge between renewal-type limit theorems in infinite ergodic theory and precise large-deviation tails, with potential consequences for the study of intermittent dynamics and related stochastic processes.

Abstract

We establish large deviation estimates related to the Darling--Kac theorem and generalized arcsine laws for occupation and waiting times of ergodic transformations preserving an infinite measure, such as non-uniformly expanding interval maps with indifferent fixed points. For the proof, we imitate the study of generalized arcsine laws for occupation times of one-dimensional diffusion processes and adopt a method of double Laplace transform.
Paper Structure (11 sections, 27 theorems, 162 equations)

This paper contains 11 sections, 27 theorems, 162 equations.

Key Result

Theorem 3.1

Suppose the following conditions Thm:Z-cond-1, Thm:Z-cond-2, Thm:Z-cond-3, Thm:Z-cond-4 are satisfied: Let $\{c(n)\}_{n\geq0}$ be a positive-valued sequence satisfying Then

Theorems & Definitions (58)

  • Example 1.1: Distributional limit theorems for Boole's transformation
  • Example 1.2: Large deviation estimates for Boole's transformation
  • Theorem 3.1
  • Remark 3.2
  • Remark 3.3
  • Remark 3.4: Comparison to the Dynkin--Lamperti generalized arcsine law
  • Corollary 3.5
  • proof : Proof of Corollary $\ref{['Cor1:Z']}$ by using Theorem $\ref{['Thm:Z']}$
  • Corollary 3.6
  • proof : Proof of Corollary $\ref{['Cor2:Z']}$ by using Theorem $\ref{['Thm:Z']}$
  • ...and 48 more