Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 52 tok/s
Gemini 2.5 Pro 55 tok/s Pro
GPT-5 Medium 25 tok/s Pro
GPT-5 High 26 tok/s Pro
GPT-4o 107 tok/s Pro
Kimi K2 216 tok/s Pro
GPT OSS 120B 468 tok/s Pro
Claude Sonnet 4 30 tok/s Pro
2000 character limit reached

Metastable hierarchy in abstract low-temperature lattice models: an application to Kawasaki dynamics for Ising lattice gas with macroscopic number of particles (2405.08488v3)

Published 14 May 2024 in math.PR

Abstract: This article is divided into two parts. In the first part, we study the hierarchical phenomenon of metastability in low-temperature lattice models in the most general setting. Given an abstract dynamical system governed by a Hamiltonian function, we prove that there exists a hierarchical decomposition of the collection of stable plateaux in the system into multiple $\mathfrak{m}$ levels, such that at each level there exist tunneling metastable transitions between the stable plateaux, which can be characterized by convergence to an explicit simple Markov chain as the inverse temperature $\beta$ tends to infinity. In the second part, as an application, we characterize the $3$-level metastable hierarchy in Kawasaki dynamics for Ising lattice gas with macroscopic number of particles. We prove that the ground states in this model are those in which the particles line up and form a one-dimensional strip, and identify the full structure relevant to the tunneling transitions between these ground states. In particular, the results differ from the previous work [5] in that the particles in the ground states are likely to form a strip rather than a square droplet. The main tool is the resolvent approach to metastability, recently developed in [24]. Along with the analysis, we present a theorem on the sharp asymptotics of the exit distribution from cycles, which to the author's knowledge is not known in the community and therefore may be of independent interest.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube