Emergent Dynamical Translational Symmetry Breaking as an Order Principle for Localization and Topological Transitions
Yucheng Wang

TL;DR
This paper introduces dynamical translational symmetry (DTS) as a unifying principle to understand localization and topological phase transitions through long-time dynamics, providing a new symmetry-based framework beyond equilibrium theories.
Contribution
It defines a dynamical symmetry concept (DTS) and an order parameter (TLTC) that universally characterizes localization and topological transitions, unifying these phenomena.
Findings
TLTC accurately diagnoses Anderson localization transition
TLTC captures many-body localization transition
TLTC reveals topological phase transitions as emergent symmetry breaking
Abstract
Localization transitions represent a fundamental class of continuous phase transitions, yet they occur without any accompanying symmetry breaking. We resolve this by introducing the concept of dynamical translational symmetry (DTS), which is defined not by the Hamiltonian but by the long-time dynamics of local observables. Its order parameter, the time-averaged local translational contrast (TLTC), quantitatively diagnoses whether evolution restores or breaks translational equivalence. We demonstrate that the TLTC universally captures the Anderson localization transition, the many-body localization transition, and topological phase transitions, revealing that these disparate phenomena are unified by the emergent breaking of DTS. This work establishes a unified dynamical-symmetry framework for phases transitions beyond the equilibrium paradigm.
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
TopicsQuantum many-body systems · Topological Materials and Phenomena · Advanced Thermodynamics and Statistical Mechanics
