About the role of chaos and coarse graining in Statistical Mechanics
Gianmaria Falasco, Guglielmo Saggiorato, Angelo Vulpiani
TL;DR
This paper examines how chaos and coarse graining influence the applicability of statistical laws in large particle systems, emphasizing the importance of ergodicity and chaos at finite resolutions.
Contribution
It provides an analysis of the impact of chaos and coarse graining on the validity of statistical mechanics principles in many-particle systems.
Findings
Chaos affects the validity of statistical laws at finite resolutions
Ergodicity plays a crucial role in statistical mechanics
Finite-resolution chaos influences system predictability
Abstract
We discuss the role of ergodicity and chaos for the validity of statistical laws. In particular we explore the basic aspects of chaotic systems (with emphasis on the finite-resolution) on systems composed of a huge number of particles.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.