HackerPapers

arXiv:2110.14670hep-th

de Sitter Microstates from $T\bar T+Λ_2$ and the Hawking-Page Transition

Evan Coleman, Edward A. Mazenc, Vasudev Shyam, Eva Silverstein, Ronak M Soni, Gonzalo Torroba, Sungyeon Yang

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

We obtain microstates accounting for the Gibbons-Hawking entropy in $dS_3$, along with a subleading logarithmic correction, from the solvable $T\bar T+Λ_2$ deformation of a seed CFT with sparse light spectrum. The microstates arise as the dressed CFT states near dimension $Δ=c/6$, associated with the Hawking-Page transition; they dominate the real spectrum of the deformed theory. We exhibit an analogue of the Hawking-Page transition in de Sitter. Appropriate generalizations of the $T\bar T+Λ_2$ deformation are required to treat model-dependent local bulk physics (subleading at large central charge) and higher dimensions. These results add considerably to the already strong motivation for the continued pursuit of such generalizations along with a more complete characterization of $T\bar T$ type theories, building from existing results in these directions.

arXiv comments
23+7 pages. 3 figures
Journal reference
DOI
doi:10.1007/JHEP07(2022)140
Subjects
hep-thHigh Energy Physics, Theory astro-ph.COCosmology and Nongalactic Astrophysics gr-qcGeneral Relativity and Quantum Cosmology hep-phHigh Energy Physics, Phenomenology

On Hacker News

Linked by 1 identifiable commenter in 1 comment across 1 thread, from Mar 2022 to Mar 2022.

Comments linking this paper, per year.

Discussed in comments1 thread

    • Think about 2D surfaces. Which ones are the most symmetric? A flat plane is a very nice space: every point is as good as any other (there’s nothing intrinsic to any point to distinguish any point from any other, except arbitrarily), and no direction is particularly special…

      zachfView on HNParent context

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.