Equilibration of Small and Large Subsystems in Field Theories and Matrix Models
Nima Lashkari

TL;DR
This paper extends the understanding of quantum equilibration to infinite-dimensional systems like field theories and matrix models, showing how subsystems reach equilibrium under certain conditions and relating it to scrambling behavior.
Contribution
It generalizes equilibration results to infinite-dimensional systems, including field theories and matrix models, and links subsystem size, energy, and scrambling properties.
Findings
Small subsystems equilibrate in field theories and matrix models.
Larger subsystems equilibrate at higher energies.
Connection established between equilibration and scrambling conditions.
Abstract
It has been recently shown that small subsystems of finite quantum systems generically equilibrate. We extend these results to infinite-dimensional Hilbert spaces of field theories and matrix models. We consider a quench setup, where initial states are chosen from a microcanonical ensemble of finite energy in free theory, and then evolve with an arbitrary non-perturbative Hamiltonian. Given a dynamical assumption on the expectation value of particle number density, we prove that small subsystems reach equilibrium at the level of quantum wave-function, and with respect to all observables. The picture that emerges is that at higher energies, larger subsystems can reach equilibrium. For bosonic fields on a lattice, in the limit of large number of bosons per site, all subsystem smaller than half equilibrate. In the Hermitian matrix model, by contrast, this occurs in the limit of large…
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