An application of information theory to stochastic classical gravitational fields

J. Angulo, J.C. Angulo and J.M. Angulo

Physica A: Statistical Mechanics and its Applications, 2018, vol. 499, issue C, 129-141

Abstract: The objective of this study lies on the incorporation of the concepts developed in the Information Theory (entropy, complexity, etc.) with the aim of quantifying the variation of the uncertainty associated with a stochastic physical system resident in a spatiotemporal region. As an example of application, a relativistic classical gravitational field has been considered, with a stochastic behavior resulting from the effect induced by one or several external perturbation sources. One of the key concepts of the study is the covariance kernel between two points within the chosen region. Using this concept and the appropriate criteria, a methodology is proposed to evaluate the change of uncertainty at a given spatiotemporal point, based on available information and efficiently applying the diverse methods that Information Theory provides. For illustration, a stochastic version of the Einstein equation with an added Gaussian Langevin term is analyzed.

Keywords: Two-point covariance kernel; Gaussian four-dimensional informational measures; Entropy; Complexity; Stochastic stress tensor of matter; Gaussian Langevin term (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:499:y:2018:i:c:p:129-141

DOI: 10.1016/j.physa.2018.02.009

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