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Microstructure in matrix elements

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arxiv 2108.02210 v2 pith:SS2FFH7K submitted 2021-08-04 hep-th

Microstructure in matrix elements

classification hep-th
keywords matrixradiationstateallowsblackcouplingdensitydynamics
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We investigate the simple model of Pennington, Shenker, Stanford and Yang for modeling the density matrix of Hawking radiation, but further include dynamics for EOW branes behind the horizon. This allows interactions that scatter one interior state to another, and also allows EOW loops. At strong coupling, we find that EOW states are no longer random; the ensemble has collapsed, and coupling constants encode the microscopic matrix elements of Hawking radiation. This suggests strong interior dynamics are important for understanding evaporating black holes, without any ensemble average. In this concrete model the density matrix of the radiation deviates from the thermal state, small off-diagonal fluctuations encode equivalences between naively orthogonal states, and bound the entropy from above. For almost evaporated black holes the off-diagonal terms become as large as the diagonal ones, eventually giving a pure state. We also find the unique analytic formula for all Renyi entropies.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Evaporating Black Hole Interior and Complexity Evolution

    hep-th 2026-05 conditional novelty 7.0

    In JT gravity with an end-of-the-world brane, the renormalized interior length — read as subsystem complexity — grows linearly, peaks around the Page time, and then decays exponentially, with growing relative fluctuat...

  2. Evaporating Black Hole Interior and Complexity Evolution

    hep-th 2026-05 unverdicted novelty 6.0

    In a JT gravity model with an EoW brane, black hole interior complexity grows linearly until the Page time then decays exponentially, with fluctuations growing large afterward and signaling loss of self-averaging.