Thermal shifts and intermittent linear response of aging systems

TL;DR

This paper investigates the aging dynamics of glassy systems, revealing how temperature shifts affect their response and confirming the role of marginal stability through simulations and analytic formulas.

Contribution

It introduces a scaling framework for aging responses under temperature shifts and validates it with Ising model simulations, emphasizing the importance of marginal stability.

Findings

Effective age scaling with temperature shifts matches simulation data.

Large positive temperature shifts reset the system's effective age.

Negative temperature shifts provide detailed insights into aging dynamics.

Abstract

At time $t$ after an initial quench, an aging system responds to a perturbation turned on at time $ t_{\rm w} < t$ in a way mainly depending on the number of intermittent energy fluctuations, so-called quakes, which fall within the observation interval $(t_{\rm w},t]$ [Sibani et al. Phys. Rev. B, 74, 224407 and Eur. J. of Physics B, 58,483-491, 2007]. The temporal distribution of the quakes implies a functional dependence of the average response on the ratio $t/t_{\rm w}$. Further insight is obtained imposing small temperature steps, so-called $T$-shifts. The average response as a function of $t/t_{\rm w,eff}$, where $t_{\rm w,eff}$ is the effective age, is similar to the response of a system aged isothermally at the final temperature. Using an Ising model with plaquette interactions, the applicability of analytic formulae for the average isothermal magnetization is confirmed. The $T$-shifted aging behavior of the model is described using effective ages. Large positive shifts nearly reset the effective age. Negative $T$-shifts offer a more detailed probe of the dynamics. Assuming the marginal stability of the `current' attractor against thermal noise fluctuations, the scaling form $t_{\rm w,eff} = t_{\rm w}^x$, and the dependence of the exponent $x$ on the aging temperatures before and after the shift are theoretically available. The predicted form of $x$ has no adjustable parameters. Both the algebraic scaling of the effective age and the form of the exponent agree with the data. The simulations thus confirm the crucial r\^{o}le of marginal stability in glassy relaxation.