Dual-Space Invariance as a Universal Criterion for Multifractal Critical States
Tong Liu

TL;DR
This paper introduces a universal criterion for identifying multifractal critical states in Anderson localization based on a dual-space invariance between position and momentum space, demonstrated through numerical simulations.
Contribution
It establishes that critical states are uniquely characterized by dual-space invariance, extending the Liu--Xia criterion, and provides a practical method for their detection.
Findings
Inverse participation ratio shows matching scaling in position and momentum space for critical states.
Extended and localized states display asymmetry between the two spaces.
Dual-space invariance serves as a robust criterion for identifying multifractal critical states.
Abstract
In Anderson localization, eigenstates of disordered quantum systems are broadly classified as extended, localized, or critical. Although critical states exhibit multifractal character, a precise and operational criterion for their identification remains an open challenge, as Lyapunov exponents in real space cannot uniquely distinguish them from extended states. Here we address this challenge by asserting that critical states are uniquely characterized by an emergent dual-space invariance between position and momentum space. Building on the Liu--Xia criterion of the simultaneous vanishing of Lyapunov exponents (), we show that this dual-space invariance extends beyond Lyapunov exponents and governs wavefunction scaling, revealing a fundamental property inaccessible from either space alone. Through numerical simulations, we demonstrate that the inverse participation…
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 · Advanced Thermodynamics and Statistical Mechanics
