Journal article icon

Journal article

A principle of maximum ignorance for semiclassical gravity

Abstract:
Abstract The principle of maximum ignorance posits that the coarse-grained description of a system is maximally agnostic about its underlying microscopic structure. We briefly review this principle for random matrix theory and for the eigenstate thermalization hypothesis. We then apply this principle in holography to construct ensembles of random mixed states. This leads to an ensemble of microstates which models our microscopic ignorance, and which on average reproduces the effective semiclassical physics of a given bulk state. We call this ensemble the state-averaging ansatz. The output of our model is a prediction for semiclassical contributions to variances and higher statistical moments over the ensemble of microstates. The statistical moments provide coarse-grained — yet gravitationally non-perturbative — information about the microstructure of the individual states of the ensemble. We show that these contributions exactly match the on-shell action of known wormhole configurations of the gravitational path integral. These results strengthen the view that wormholes simply parametrize the ignorance of the microstructure of a fundamental state, given a fixed semiclassical bulk description.
Publication status:
Published
Peer review status:
Peer reviewed

Actions

Access Document

Files:
Publisher copy:
10.1007/jhep02(2024)003

Authors

More by this author
Role:
Author
ORCID:
0000-0002-3356-4035
More by this author
Role:
Author
ORCID:
0000-0001-5824-8250
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0009-0001-4874-9868
More by this author
Role:
Author
ORCID:
0000-0003-1056-6000


Publisher:
Springer
Journal:
Journal of High Energy Physics More from this journal
Volume:
2024
Issue:
2
Article number:
3
Publication date:
2024-02-01
DOI:
EISSN:
1029-8479
ISSN:
1126-6708


Language:
English
Keywords:
Pubs id:
2328660
Local pid:
pubs:2328660
Source identifiers:
W4391467871
Deposit date:
2025-11-18
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP