Holographic thermalization with Lifshitz scaling and hyperscaling violation
Piermarco Fonda, Lasse Franti, Ville Keranen, Esko Keski-Vakkuri, Larus Thorlacius, Erik Tonni
TL;DR
The paper investigates holographic thermalization in backgrounds with Lifshitz scaling and hyperscaling violation by modeling gravitational collapse via a Vaidya-type hvLif geometry. It develops analytic and numerical results for the time evolution of holographic entanglement entropy for strip and spherical boundary regions, both in static hvLif spacetimes and during the collapse, and identifies three growth regimes (initial power-law, linear, and saturation) that generalize previous relativistic results. By imposing null energy condition constraints, the authors map allowed exponents $(\zeta,\theta)$ and derive thin-shell matching conditions that yield explicit expressions for the entanglement entropy's time dependence, including the linear growth velocity $v_E$ governed by $d_\theta+\zeta$. Their findings show how the combination $d_\theta+\zeta$ controls early-time dynamics, while saturation times scale with region size and are largely universal with respect to $(\theta,\zeta)$ in certain limits. The work extends Liu and Suh to hvLif theories, providing a framework to study thermalization near non-relativistic quantum critical points with potential applications to strongly correlated systems exhibiting anisotropic scaling.
Abstract
A Vaidya type geometry describing gravitation collapse in asymptotically Lifshitz spacetime with hyperscaling violation provides a simple holographic model for thermalization near a quantum critical point with non-trivial dynamic and hyperscaling violation exponents. The allowed parameter regions are constrained by requiring that the matter energy momentum tensor satisfies the null energy condition. We present a combination of analytic and numerical results on the time evolution of holographic entanglement entropy in such backgrounds for different shaped boundary regions and study various scaling regimes, generalizing previous work by Liu and Suh.
