arXiv · 1610.07110
Tsallis thermostatics as a statistical physics of random chains
Abstract
In this paper we point out that the generalized statistics of Tsallis-Havrda-Charv\'at can be conveniently used as a conceptual framework for statistical treatment of random chains. In particular, we use the path-integral approach to show that the ensuing partition function can be identified with the partition function of a fluctuating oriented random loop of arbitrary length and shape in a background scalar potential. To put some meat on the bare bones, we illustrate this with two statistical systems; Schultz-Zimm polymer and relativistic particle. Further salient issues such as the $PSL(2;R)$ transformation properties of Tsallis' inverse-temperature parameter and a grandcanonical ensemble of fluctuating random loops related to the Tsallis-Havrda-Charv\'at statistics are also briefly discussed.
Explore related subjects
Keep this discovery
Petr Jizba, Jan Korbel, Václav Zatloukal. 2016-10-23. Tsallis thermostatics as a statistical physics of random chains. https://doi.org/10.1103/physreve.95.022103
Cite the original work for its findings. Save a collection to share your selection of sources.