Entropy, extremality, euclidean variations, and the equations of motion
Abstract
We study the Euclidean gravitational path integral computing the Rényi entropy and analyze its behavior under small variations. We argue that, in Einstein gravity, the extremality condition can be understood from the variational principle at the level of the action, without having to solve explicitly the equations of motion. This set-up is then generalized to arbitrary theories of gravity, where we show that the respective entanglement entropy functional needs to be extremized. We also extend this result to all orders in Newton’s constant GN, providing a derivation of quantum extremality. Understanding quantum extremality for mixtures of states provides a generalization of the dual of the boundary modular Hamiltonian which is given by the bulk modular Hamiltonian plus the area operator, evaluated on the so-called modular extremal surface. This gives a bulk prescription for computing the relative entropies to all orders in GN . We also comment on how these ideas can be used to derive an integrated version of the equations of motion, linearized around arbitrary states.
- Authors:
-
- Inst. for Advanced Study, Princeton, NJ (United States). School of Natural Sciences; Univ. of California, Santa Barbara, CA (United States). Dept. of Physics
- Stanford Univ., CA (United States). Stanford Inst. for Theoretical Physics
- Publication Date:
- Research Org.:
- Institute for Advanced Study, Princeton, NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1502460
- Grant/Contract Number:
- SC0009988
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of High Energy Physics (Online)
- Additional Journal Information:
- Journal Name: Journal of High Energy Physics (Online); Journal Volume: 2018; Journal Issue: 1; Journal ID: ISSN 1029-8479
- Publisher:
- Springer Berlin
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; AdS-CFT Correspondence; Gauge-gravity correspondence; Classical Theories of Gravity; Black Holes in String Theory
Citation Formats
Dong, Xi, and Lewkowycz, Aitor. Entropy, extremality, euclidean variations, and the equations of motion. United States: N. p., 2018.
Web. doi:10.1007/jhep01(2018)081.
Dong, Xi, & Lewkowycz, Aitor. Entropy, extremality, euclidean variations, and the equations of motion. United States. https://doi.org/10.1007/jhep01(2018)081
Dong, Xi, and Lewkowycz, Aitor. Wed .
"Entropy, extremality, euclidean variations, and the equations of motion". United States. https://doi.org/10.1007/jhep01(2018)081. https://www.osti.gov/servlets/purl/1502460.
@article{osti_1502460,
title = {Entropy, extremality, euclidean variations, and the equations of motion},
author = {Dong, Xi and Lewkowycz, Aitor},
abstractNote = {We study the Euclidean gravitational path integral computing the Rényi entropy and analyze its behavior under small variations. We argue that, in Einstein gravity, the extremality condition can be understood from the variational principle at the level of the action, without having to solve explicitly the equations of motion. This set-up is then generalized to arbitrary theories of gravity, where we show that the respective entanglement entropy functional needs to be extremized. We also extend this result to all orders in Newton’s constant GN, providing a derivation of quantum extremality. Understanding quantum extremality for mixtures of states provides a generalization of the dual of the boundary modular Hamiltonian which is given by the bulk modular Hamiltonian plus the area operator, evaluated on the so-called modular extremal surface. This gives a bulk prescription for computing the relative entropies to all orders in GN . We also comment on how these ideas can be used to derive an integrated version of the equations of motion, linearized around arbitrary states.},
doi = {10.1007/jhep01(2018)081},
journal = {Journal of High Energy Physics (Online)},
number = 1,
volume = 2018,
place = {United States},
year = {Wed Jan 17 00:00:00 EST 2018},
month = {Wed Jan 17 00:00:00 EST 2018}
}
Web of Science
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