Entropy | |
Lagrangian Submanifolds of Symplectic Structures Induced by Divergence Functions | |
Marco Favretti1  | |
[1] Dipartimento di Matematica Tullio Levi-Civita, Università degli Studi di Padova, 35121 Padova, Italy; | |
关键词: canonical divergence; Lagrangian submanifolds; Morse family; constrained optimization; geometric phase transitions; | |
DOI : 10.3390/e22090983 | |
来源: DOAJ |
【 摘 要 】
Divergence functions play a relevant role in Information Geometry as they allow for the introduction of a Riemannian metric and a dual connection structure on a finite dimensional manifold of probability distributions. They also allow to define, in a canonical way, a symplectic structure on the square of the above manifold of probability distributions, a property that has received less attention in the literature until recent contributions. In this paper, we hint at a possible application: we study Lagrangian submanifolds of this symplectic structure and show that they are useful for describing the manifold of solutions of the Maximum Entropy principle.
【 授权许可】
Unknown