Published August 2018 | Version v1
Journal article

Analogue stochastic gravity in strongly-interacting Bose–Einstein condensates

  • 1. School of Physics and Australian Research Council Centre of Excellence in Low-Energy Electronics Technologies, UNSW Node, The University of New South Wales, Sydney 2052 (Australia)
  • 2. Condensed Matter Theory Center and Joint Quantum Institute, University of Maryland, College Park, MD 20742 (United States)
  • 3. School of Physics, Monash University, Melbourne, Victoria 3800 (Australia)

Description

Collective modes propagating in a moving superfluid are known to satisfy wave equations in a curved space–time, with a metric determined by the underlying superflow. We use the Keldysh technique in a curved space–time to develop a quantum geometric theory of fluctuations in superfluid hydrodynamics. This theory relies on a "quantized" generalization of the two-fluid description of Landau and Khalatnikov, where the superfluid component is viewed as a quasi-classical field coupled to a normal component — the collective modes/phonons representing a quantum bath. This relates the problem in the hydrodynamic limit to the "quantum friction" problem of Caldeira–Leggett type. By integrating out the phonons, we derive stochastic Langevin equations describing a coupling between the superfluid component and phonons. These equations have the form of Euler equations with additional source terms expressed through a fluctuating stress–energy tensor of phonons. Conceptually, this result is similar to stochastic Einstein equations that arise in the theory of stochastic gravity. We formulate the fluctuation–dissipation theorem in this geometric language and discuss possible physical consequences of this theory.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.aop.2018.05.009

Additional details

Identifiers

DOI
10.1016/j.aop.2018.05.009;
arXiv
arXiv:1612.08980v3;
PII
S0003491618301453;

Publishing Information

Journal Title
Annals of Physics (New York)
Journal Volume
395
Journal Page Range
p. 84-111
ISSN
0003-4916
CODEN
APNYA6

Optional Information

Notes
© 2018 Elsevier Inc. All rights reserved.