English

Information and Configurational Entropy in Glassy Systems

Disordered Systems and Neural Networks 2024-02-08 v1

Abstract

It is often stated that if one is presented with a snapshot of the positions of the molecules of a glass and one of a liquid, one is unable to tell the difference. Here we argue instead that given several such snapshots taken over a time-interval, even without specifying the times, there is a definite procedure to assess precisely the level of glassiness: it suffices to concatenate the snapshots side-by-side, and to subject the joint picture to a lossless compression protocol. We argue that the size of the compressed file yields a direct and unambiguous measure of the `vibrational' and `configurational' entropies, and may be used to study the associated glass length scale in or out of equilibrium through the size and frequency of the repeated motifs essential to the compression, a quantity that would diverge at a putative glass transition.

Keywords

Cite

@article{arxiv.2402.05081,
  title  = {Information and Configurational Entropy in Glassy Systems},
  author = {Ittai Fraenkel and Jorge Kurchan and Dov Levine},
  journal= {arXiv preprint arXiv:2402.05081},
  year   = {2024}
}
R2 v1 2026-06-28T14:41:56.654Z