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On Central Limit Theorems for Additive Functionals of Reversible Ergodic Markov Processes

Edward C Waymire

TL;DR

This paper addresses the problem of deriving the Kipnis–Varadhan functional central limit theorem for additive functionals of reversible ergodic Markov processes by specializing Bhattacharya's general fclt to the time-reversible case. The authors leverage the resolvent identity $f=\lambda R_\lambda f-\hat{A}R_\lambda f$ and decompose $I_n(f,t)$ into a vanishing part and a main part, controlling the vanishing part through a sequence $\lambda_n\to 0$ with $\lambda_n=o(1/n)$. For fixed small $\lambda_\ell$, the main term converges to a Brownian motion with dispersion $\sigma_{\lambda_\ell}^2 = 2\langle -\hat{A}R_{\lambda_\ell}f, R_{\lambda_\ell}f\rangle_\pi$, which increases to the target variance $\sigma^2(f)=2\langle(-\hat{A})^{-1/2}f,(-\hat{A})^{-1/2}f\rangle_\pi$ as $\lambda_\ell\to 0$, yielding the Kipnis–Varadhan FCLT for $f \in \mathcal{D}_{(-\hat{A})^{-1/2}}$. The result clarifies the interchange of limits and provides a constructive route via semigroup resolvents and Yosida theory, with implications for solute dispersion and interacting particle systems.

Abstract

In this note, the time reversible case of a general theorem of Bhattacharya is shown to imply the Kipnis-Varadhan functional central limit theorem for ergodic Markov processes. To this end, a few results from semigroup theory, including the resolvent identity, are incoporated in Bhattacharya's range condition for the inifinitesimal generator.

On Central Limit Theorems for Additive Functionals of Reversible Ergodic Markov Processes

TL;DR

This paper addresses the problem of deriving the Kipnis–Varadhan functional central limit theorem for additive functionals of reversible ergodic Markov processes by specializing Bhattacharya's general fclt to the time-reversible case. The authors leverage the resolvent identity and decompose into a vanishing part and a main part, controlling the vanishing part through a sequence with . For fixed small , the main term converges to a Brownian motion with dispersion , which increases to the target variance as , yielding the Kipnis–Varadhan FCLT for . The result clarifies the interchange of limits and provides a constructive route via semigroup resolvents and Yosida theory, with implications for solute dispersion and interacting particle systems.

Abstract

In this note, the time reversible case of a general theorem of Bhattacharya is shown to imply the Kipnis-Varadhan functional central limit theorem for ergodic Markov processes. To this end, a few results from semigroup theory, including the resolvent identity, are incoporated in Bhattacharya's range condition for the inifinitesimal generator.
Paper Structure (3 sections, 5 theorems, 19 equations)

This paper contains 3 sections, 5 theorems, 19 equations.

Key Result

Theorem 1

Suppose that $X = \{X(t):t\ge0\}$ is a progressively measurableProgressive measurability holds, for example, for Markov processes with a metric state space $S$ and Borel sigmafield ${\mathcal{S}}$ having right-continuous paths $t\to X(t,\omega), \omega\in\Omega$. ergodic continuous parameter Markov

Theorems & Definitions (8)

  • Theorem 1: Bhattacharya RBfclt
  • Remark 1
  • Remark 2
  • Theorem 2: Yosida's Potential Operator yosidakomatsu
  • Proposition 1
  • Corollary 1
  • Theorem 3: Kipnis-Varadhan $\mathcal{D}_{(-\hat{A})^{-\frac{1}{2}}}$ Condition
  • proof