Geometric probability theory and Jaynes's methodology

作者:Holik Federico*; Massri Cesar*; Plastino A*
来源:International Journal of Geometric Methods in Modern Physics, 2016, 13(3): 1650025.
DOI:10.1142/S0219887816500250

摘要

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.

  • 出版日期2016-3