Numerical Study on Aging Dynamics in the 3D Ising Spin–Glass Model: III. Cumulative Memory and `Chaos' Effects in the Temperature-Shift Protocol

Abstract

The temperature (T)-shift protocol of aging in the 3 dimensional (3D) Edwards–Anderson (EA) spin–glass (SG) model is studied through the out-of-phase component of the ac susceptibility simulated by the Monte Carlo method. For processes with a small magnitude of the T-shift, Δ T, the memory imprinted before the T-shift is preserved under the T-change and the SG short-range order continuously grows after the T-shift with a rate which depends on the temperature. We call this the cumulative memory scenario. For a negative T-shift process with a large Δ T deviation from the cumulative memory scenario has been observed for the first time in numerical simulations. We attribute the phenomenon to the `chaos effect' which, we argue, is qualitatively different from the so-called rejuvenation effect observed just after the T-shift.