We show that the Maximum Entropy Principle (E.T. Jaynes, 1957) when considered as a constrained extremization problem, has a natural description in terms of Morse families of an isotropic (lagrangian in the finite-dimensional case) submanifold of an infinite-dimensional linear symplectic space. This geometric approach become useful when dealing with the MEP with nonlinear constraints and it allows to derive Onsager-like reciprocity relations as a consequence of the isotropy

Isotropic Submanifolds generated by the Maximum Entropy Principle

FAVRETTI, MARCO
2004

Abstract

We show that the Maximum Entropy Principle (E.T. Jaynes, 1957) when considered as a constrained extremization problem, has a natural description in terms of Morse families of an isotropic (lagrangian in the finite-dimensional case) submanifold of an infinite-dimensional linear symplectic space. This geometric approach become useful when dealing with the MEP with nonlinear constraints and it allows to derive Onsager-like reciprocity relations as a consequence of the isotropy
2004
Bayesian inference and maximum entropy methods in science and engineering
24th Int. Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Enginee
9780735402171
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/1347195
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