Artículos de revistas
Geometric probability theory and Jaynes's methodology
Fecha
2016-03Registro en:
Holik, Federico Hernán; Massri, Cesar Dario; Plastino, Ángel Luis; Geometric probability theory and Jaynes's methodology; World Scientific; International Journal of Geometric Methods in Modern Physics; 13; 3; 3-2016; 1-20
0219-8878
CONICET Digital
CONICET
Autor
Holik, Federico Hernán
Massri, Cesar Dario
Plastino, Ángel Luis
Resumen
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.