Exponential families, Kahler geometry and quantum mechanics

Abstract

Exponential families are a particular class of statistical manifolds which are particularly important in statistical inference, and which appear very frequently in statistics. For example, the set of normal distributions, with mean μ and deviation σ, form a 2-dimensional exponential family. In this paper, we show that the tangent bundle of an exponential family is naturally a Kahler manifold. This simple but crucial observation leads to the formalism of quantum mechanics in its geometrical form, i.e. based on the Kahler structure of the complex projective space, but generalizes also to more general Kahler manifolds, providing a natural geometric framework for the description of quantum systems. Many questions related to this "statistical Kahler geometry" are discussed, and a close connection with representation theory is observed. Examples of physical relevance are treated in details. For example, it is shown that the spin of a particle can be entirely understood by means of the usual binomial distribution. This paper centers on the mathematical foundations of quantum mechanics, and on the question of its potential generalization through its geometrical formulation.

References in corpus (8)

• Geometric Quantum Mechanics
• A General Theory of Quantum Relativity
• Background Independent Quantum Mechanics and Gravity
• Coherent states and rational surfaces
• Generalization of Hasimoto's transformation
• Remarks on the statistical origin of the geometrical formulation of quantum mechanics
• Information geometry and the hydrodynamical formulation of quantum mechanics
• Quantum Mechanics and Operator algebras on the Hilbert ball

Cited by in corpus (5)

• Finslerian geometrization of quantum mechanics in the hydrodynamical representation
• Notions of the ergodic hierarchy for curved statistical manifolds
• Gaussian distributions, Jacobi group and Siegel-Jacobi space
• One-dimensional exponential families with constant Hessian scalar curvature
• The Complex Geometry and Representation Theory of Statistical Transformation Models