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

[2505.01045] On Central Limit Theorems for Additive Functionals of Reversible Ergodic Markov Processes Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Mathematics > Probability arXiv:2505.01045 (math) [Submitted on 2 May 2025 ( v1 ), last revised 10 Apr 2026 (this version, v2)] Title: On Central Limit Theorems for Additive Functionals of Reversible Ergodic Markov Processes Authors: Edward C Waymire View a PDF of the paper titled On Central Limit Theorems for Additive Functionals of Reversible Ergodic Markov Processes, by Edward C Waymire View PDF HTML (experimental) 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. Comments: This is a replacement in which an application of the method has been added to obtain an extended law of the iterated logarithm Subjects: Probability (math.PR) MSC classes: 60J25, 60F05, 60G44 (Primary) 47B02, 47B25, 47B93 (Secondary) Cite as: arXiv:2505.01045 [math.PR] (or arXiv:2505.01045v2 [math.PR] for this version) https://doi.org/10.48550/arXiv.2505.01045 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Edward Waymire [ view email ] [v1] Fri, 2 May 2025 06:33:48 UTC (13 KB) [v2] Fri, 10 Apr 2026 21:07:15 UTC (16 KB) Full-text links: Access Paper: View a PDF of the paper titled On Central Limit Theorems for Additive Functionals of Reversible Ergodic Markov Processes, by Edward C Waymire View PDF HTML (experimental) TeX Source view license Current browse context: math.PR < prev | next > new | recent | 2025-05 Change to browse by: math References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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