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Recent Advances in Stochastic Gravity: Theory and Issues

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arxiv gr-qc/0110092 v1 pith:UGOPRDF5 submitted 2001-10-22 gr-qc

classification gr-qc
keywords gravitysemiclassicalquantumfieldfieldsstress-energytensoreinstein
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Whereas semiclassical gravity is based on the semiclassical Einstein equation with sources given by the expectation value of the stress-energy tensor of quantum fields, stochastic semiclassical gravity is based on the Einstein- Langevin equation, which has in addition sources due to the noise kernel. The noise kernel is the expectation value of the stress-energy bi-tensor which describes the fluctuations of quantum matter fields. Here, we first give an axiomatic derivation of the Einstein-Langevin equations and then show how they can also be derived by the original method based on the influence functional. As a first application we solve these equations and compute the two- point correlation functions for the linearized Einstein tensor and for the metric perturbations in a Minkowski background. We then turn to the important issue of the validity of semiclassical gravity by examining the criteria based on the ratio of the variance of fluctuations of the stress-energy tensor of a quantum field to its mean. We show a calculation of these quantities for a massless scalar field in the Minkowski and the Casimir vacua as a function of an intrinsic scale defined by introducing a smeared field or by point separation. Contrary to prior claims, the ratio of variance to mean-squared being of the order unity does not necessarily imply the failure of semiclassical gravity. Next we use the point-separation method to derive a general expression for a regularized noise-kernel for quantum fields in general curved spacetimes. Using these expressions one could investigate a host of important problems in early universe and black hole physics.

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  1. Measurements in stochastic gravity and thermal variance

    gr-qc 2025-06 conditional novelty 6.0 of 10

    Thermal photon fluctuations in a curved spacetime generate metric variance that, in the Fewster-Verch measurement scheme, equals the stochastic gravity noise kernel exactly.

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