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On Thermalization in A Nonlinear Variant of the Discrete NLS Equation

Yagmur Kati, Aleksandra Maluckov, Ana Mancic, Panayotis Kevrekidis

TL;DR

This work investigates thermalization and localization in a genuinely nonlinear lattice toy model derived from the 2D defocusing NLS, featuring conserved norm $A$, energy $H$, and a tunable nonlinear dispersion parameter $D$. Using transfer-integral thermodynamics to define Gibbs regions (valid for $D<0.5$) and extensive long-time simulations, it maps an $(a,h)$ phase diagram distinguishing ergodic, nonergodic, Gibbs, and non-Gibbs regimes. Diagnostics based on finite-time averages $q(T)$, excursion-time PDFs with tail exponent $\gamma$, and compacton-energy analyses reveal an ergodic-to-nonergodic crossover and a transition from one-site to two-site localization as $D$ crosses 1, with ergodic dynamics also found outside the Gibbs framework. The results show that stronger nonlinear coupling promotes faster approach to $q(T) \sim 1/T$ and expands localization tendencies, offering new insights into thermalization and nonstandard statistics in genuinely nonlinear lattices.

Abstract

We study the thermalization properties of a fully nonlinear lattice model originally derived from the two-dimensional cubic defocusing nonlinear Schrödinger equation (NLS) using analytical and numerical methods. Our analysis reveals both ergodic and nonergodic regimes; importantly, we find broad parameter ranges where the dynamics is ergodic even though it lies outside the Gibbsian parameter regime (for both $D=0.25$ and $D=2$), and a higher-energy range where ergodicity breaks down. We observe that in a certain range of parameters, the system requires non-standard statistical descriptions, indicating a breakdown of conventional thermalization. We examine the influence of the nonlinear dispersion parameter $D$ on the system's behavior, showing that increasing $D$ enhances fluctuations and speeds up the crossover of $q(T)$ toward the $\sim 1/T$ scaling. By analyzing excursion times, probability density functions, and localization patterns, we characterize transitions between ergodic and nonergodic behavior. In long-time numerical simulations within the non-ergodic regime for $D>1$, stable localization over two sites is observed, while $D<1$ favors single-site localization in the high energy density regimes. Our results provide insights into the interplay between thermalization, localization, and non-standard statistical behavior in genuinely nonlinear systems.

On Thermalization in A Nonlinear Variant of the Discrete NLS Equation

TL;DR

This work investigates thermalization and localization in a genuinely nonlinear lattice toy model derived from the 2D defocusing NLS, featuring conserved norm , energy , and a tunable nonlinear dispersion parameter . Using transfer-integral thermodynamics to define Gibbs regions (valid for ) and extensive long-time simulations, it maps an phase diagram distinguishing ergodic, nonergodic, Gibbs, and non-Gibbs regimes. Diagnostics based on finite-time averages , excursion-time PDFs with tail exponent , and compacton-energy analyses reveal an ergodic-to-nonergodic crossover and a transition from one-site to two-site localization as crosses 1, with ergodic dynamics also found outside the Gibbs framework. The results show that stronger nonlinear coupling promotes faster approach to and expands localization tendencies, offering new insights into thermalization and nonstandard statistics in genuinely nonlinear lattices.

Abstract

We study the thermalization properties of a fully nonlinear lattice model originally derived from the two-dimensional cubic defocusing nonlinear Schrödinger equation (NLS) using analytical and numerical methods. Our analysis reveals both ergodic and nonergodic regimes; importantly, we find broad parameter ranges where the dynamics is ergodic even though it lies outside the Gibbsian parameter regime (for both and ), and a higher-energy range where ergodicity breaks down. We observe that in a certain range of parameters, the system requires non-standard statistical descriptions, indicating a breakdown of conventional thermalization. We examine the influence of the nonlinear dispersion parameter on the system's behavior, showing that increasing enhances fluctuations and speeds up the crossover of toward the scaling. By analyzing excursion times, probability density functions, and localization patterns, we characterize transitions between ergodic and nonergodic behavior. In long-time numerical simulations within the non-ergodic regime for , stable localization over two sites is observed, while favors single-site localization in the high energy density regimes. Our results provide insights into the interplay between thermalization, localization, and non-standard statistical behavior in genuinely nonlinear systems.
Paper Structure (12 sections, 78 equations, 6 figures, 1 table)

This paper contains 12 sections, 78 equations, 6 figures, 1 table.

Figures (6)

  • Figure 1: Phase diagram for the toy model with (a) $D=0.25$ and (b) $D=2$. In (a), the temperature curves for $\beta=0$ and $\beta=\infty$ are given by $h=a^2/2$ (blue line, TIO blue circles) and $h=a^2/8$ (black line, TIO magenta circles), respectively. In both panels, red circles indicate initial states characterized by a decay exponent $\gamma = 2$ in the probability distribution of excursion times, marking the ergodic–nonergodic crossover. The orange dashed line shows the maximum energy achievable with a constant norm distribution, $h_{\text{max}}(A_\ell = a) = \tfrac{a^2}{4}(1+2D)$. The black solid line, $h_{\text{min}}(A_\ell = a) = \tfrac{a^2}{4}(1-2D)$, is the corresponding minimum for the initial states with a homogeneous norm and coincides with the ground state $h(\beta=\infty)$ for $D=0.25$ in (a). In (b), this $h_{\text{min}}(A_\ell = a)$ line is not the true ground state, as heterogeneous norm distributions allow energies that become unbounded from below in the thermodynamic limit for $D>0.5$. While the TIO is only applicable in the cyan region of panel (a), each of the different regimes and their region of applicability are discussed in the text.
  • Figure 2: Finite time averages $q(T)$ for $a=0.25$ with (a) $D=0.25$ for $h=0.02, 0.03125, 0.05, 0.07, 0.1$, and (b) $D=2$ for $h=0.02, 0.03125, 0.1, 1, 2$.
  • Figure 3: The probability density function of the initial states for $a=0.25$ with (a) $D=0.25$, (b) $D=2$ for different energy densities $h$. The black dashed lines in both panels refer to a power law decay with an exponent $\gamma=2$ ($\sim 1/{\tau_+}^2$), to point out the results that has $\gamma\leq 2$ (nonergodic), and results that has $\gamma> 2$ (ergodic).
  • Figure 4: Increasing energy density reduces chaotic mixing and leads to long-lived localization at fixed $D=0.25$ and $a=0.25$. Local norm densities $a_\ell(t)$ are color coded in time for (a) $h=0.02$ ($\beta>0$), (b) $h=0.03125$ ($\beta=0$), and (c) $h=0.07$ ($\beta<0$). Part (d) shows a zoomed view of (c), where one-site localization persists for long times.
  • Figure 5: High-energy localization on two and three sites for $D=2$. Local norm densities $a_\ell$ are color-coded in time for $a=0.25, h=1$. We present the whole lattice in top figure. We zoom to a 3-site, in-phase localization in the middle panel. We zoom to the dominant 2 site staggered localization in bottom. The initial state is prepared according to Eq.(\ref{['eq:compact']}) setting $a=0.25, x=19, c=21$.
  • ...and 1 more figures