Nonextensivity: from low-dimensional maps to Hamiltonian systems
C. Tsallis, A. Rapisarda, V. Latora, F. Baldovin
TL;DR
This paper reviews recent applications of nonextensive statistical mechanics to various nonlinear dynamical systems, including low-dimensional maps and many-body Hamiltonian systems, highlighting its broad relevance.
Contribution
It provides a pedagogical overview of how nonextensive statistical mechanics applies across different types of nonlinear dynamical systems.
Findings
Demonstrates applicability to one-dimensional dissipative maps
Extends to many-body Hamiltonian systems
Highlights the versatility of nonextensive statistics
Abstract
We present a brief pedagogical guided tour of the most recent applications of nextensive statistical mechanics to well defined nonlinear dynamical systems, ranging from one-dimensional dissipative maps to many-body Hamiltonian systems.
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.
Taxonomy
TopicsStatistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics · Complex Systems and Time Series Analysis