Information functionals and the notion of (un)certainty: RMT - inspired case

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dc.creatorGarbaczewski, Piotr
dc.date2007-06-17
dc.date.accessioned2026-07-07T08:44:08Z
dc.date.available2026-07-07T08:44:08Z
dc.descriptionInformation functionals allow to quantify the degree of randomness of a given probability distribution, either absolutely (through min/max entropy principles) or relative to a prescribed reference one. Our primary aim is to analyze the "minimum information" assumption, which is a classic concept (R. Balian, 1968) in the random matrix theory. We put special emphasis on generic level (eigenvalue) spacing distributions and the degree of their randomness, or alternatively - information/organization deficit.
dc.descriptionPresented at the 3rd Workshop on Quantum Chaos and Localization Phenomena, Warsaw May 25-27,2007
dc.identifierhttps://arxiv.org/abs/0706.2481
dc.identifierhttp://arxiv.org/abs/0706.2481
dc.identifierActa Phys. Pol. A 112, (2007), 619-634
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/142553
dc.subjectQuantum Physics
dc.subjectStatistical Mechanics
dc.subjectMathematical Physics
dc.subjectChaotic Dynamics
dc.subjectData Analysis, Statistics and Probability
dc.titleInformation functionals and the notion of (un)certainty: RMT - inspired case
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