Stochastic Gravity: A Primer with Applications
B. L. Hu, E. Verdaguer

TL;DR
This paper introduces stochastic semiclassical gravity, an advanced framework that incorporates quantum matter fluctuations into Einstein's equations, with applications to cosmology and black hole physics, emphasizing pedagogical clarity.
Contribution
It provides a comprehensive introduction to stochastic gravity, detailing axiomatic and functional approaches, and discusses its applications in cosmology and black hole backreaction problems.
Findings
The noise kernel captures quantum fluctuations of stress-energy tensor.
The Einstein-Langevin equation models stochastic backreaction effects.
Applications demonstrate the theory's relevance to cosmology and black holes.
Abstract
Stochastic semiclassical gravity of the 90's is a theory naturally evolved from semiclassical gravity of the 70's and 80's. It improves on the semiclassical Einstein equation with source given by the expectation value of the stress-energy tensor of quantum matter fields in curved spacetimes by incorporating an additional source due to their fluctuations. In stochastic semiclassical gravity the main object of interest is the noise kernel, the vacuum expectation value of the (operator-valued) stress-energy bi-tensor, and the centerpiece is the (stochastic) Einstein-Langevin equation. We describe this new theory via two approaches: the axiomatic and the functional. The axiomatic approach is useful to see the structure of the theory from the framework of semiclassical gravity. The functional approach uses the Feynman-Vernon influence functional and the Schwinger-Keldysh close-time-path…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
