Magnetization distribution in the transverse Ising chain with energy flux
V. Eisler (1), Z. Racz (1,2), F. van Wijland (2) ((1) Eotvos, University, (2) Universite de Paris-Sud)

TL;DR
This paper investigates the nonequilibrium magnetization distributions in a transverse Ising chain with energy flux, revealing Gaussian distributions with flux-dependent widths and non-Gaussian critical fluctuations influenced by boundary conditions.
Contribution
It provides an exact analysis of magnetization distributions in a nonequilibrium quantum spin chain, highlighting how energy flux affects fluctuation characteristics and distribution shapes.
Findings
P(M_z) is Gaussian with decreasing width as flux increases
P(M_x) is Gaussian even at nonzero flux, with width decreasing as flux increases
Critical fluctuations of P(M_x) are non-Gaussian and boundary-condition dependent
Abstract
The zero-temperature transverse Ising chain carrying an energy flux j_E is studied with the aim of determining the nonequilibrium distribution functions, P(M_z) and P(M_x), of its transverse and longitudinal magnetizations, respectively. An exact calculation reveals that P(M_z) is a Gaussian both at j_E=0 and j_E not equal 0, and the width of the distribution decreases with increasing energy flux. The distribution of the order-parameter fluctuations, P(M_x), is evaluated numerically for spin-chains of up to 20 spins. For the equilibrium case (j_E=0), we find the expected Gaussian fluctuations away from the critical point while the critical order-parameter fluctuations are shown to be non-gaussian with a scaling function Phi(x)=Phi(M_x/<M_x>)=<M_x>P(M_x) strongly dependent on the boundary conditions. When j_E not equal 0, the system displays long-range, oscillating correlations but…
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.
