Geometric probability theory and Jaynes’s methodology

Federico Holik, Cesar Massri, A. Plastino

Onderzoeksoutput: Articlepeer review

8 Citaten (Scopus)

Samenvatting

We provide a generalization of the approach to geometric probability advanced by the great mathematician Gian Carlo Rota, in order to apply it to generalized probabilistic physical theories. In particular, we use this generalization to provide an improvement of the Jaynes’ MaxEnt method. The improvement consists in providing a framework for the introduction of symmetry constraints. This allows us to include group theory within MaxEnt. Some examples are provided.
Originele taal-2English
Pagina's (van-tot)1650025
Aantal pagina's1
TijdschriftInternational Journal of Geometric Methods in Modern Physics
Volume13
Nummer van het tijdschrift03
DOI's
StatusPublished - 1 dec 2015

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