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arxiv: 1311.3790 · v1 · pith:O2FWW6RZnew · submitted 2013-11-15 · ⚛️ physics.chem-ph · cond-mat.stat-mech· physics.bio-ph

Aging dynamics in interacting many-body systems

classification ⚛️ physics.chem-ph cond-mat.stat-mechphysics.bio-ph
keywords simeqalphaparticledynamicslangleranglecasefile
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Low-dimensional, complex systems are often characterized by logarithmically slow dynamics. We study the generic motion of a labeled particle in an ensemble of identical diffusing particles with hardcore interactions in a strongly disordered, one-dimensional environment. Each particle in this single file is trapped for a random waiting time $\tau$ with power law distribution $\psi(\tau)\simeq\tau^{-1- \alpha}$, such that the $\tau$ values are independent, local quantities for all particles. From scaling arguments and simulations, we find that for the scale-free waiting time case $0<\alpha<1$, the tracer particle dynamics is ultra-slow with a logarithmic mean square displacement (MSD) $\langle x^2(t)\rangle\simeq(\log t)^{1/2}$. This extreme slowing down compared to regular single file motion $\langle x^2(t)\rangle\simeq t^{1/2}$ is due to the high likelihood that the labeled particle keeps encountering strongly immobilized neighbors. For the case $1<\alpha<2$ we observe the MSD scaling $\langle x^2(t)\rangle\simeq t^{\gamma}$, where $\gamma<1/2$, while for $\alpha>2$ we recover Harris law $\simeq t^{1/2}$.

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