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2007 | 112 | 4 | 619-634
Article title

Information Functionals and the Notion of (Un)Certainty: Random Matrix Theory - Inspired Case

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EN
Abstracts
EN
Information functionals allow one 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.
Keywords
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Contributors
  • Institute of Physics, University of Opole, Oleska 48, 45-052 Opole, Poland
References
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Document Type
Publication order reference
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YADDA identifier
bwmeta1.element.bwnjournal-article-appv112n405kz
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