Extended statistical modeling under symmetry; the link toward quantum mechanics

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Abstract

We derive essential elements of quantum mechanics from a parametric structure extending that of traditional mathematical statistics. The basic setting is a set A, of incompatible experiments, and a transformation group G on the cartesian product n of the parameter spaces of these experiments. The set of possible parameters is constrained to lie in a subspace of Π, an orbit or a set of orbits of G. Each possible model is then connected to a parametric Hilbert space. The spaces of different experiments are linked unitarily, thus defining a common Hilbert space H. A state is equivalent to a question together with an answer: the choice of an experiment a ∈ A plus a value for the corresponding parameter. Finally, probabilities are introduced through Born's formula, which is derived from a recent version of Gleason's theorem. This then leads to the usual formalism of elementary quantum mechanics in important special cases. The theory is illustrated by the example of a quantum particle with spin. © Institute of Mathematical Statistics, 2006.

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Helland, I. S. (2006). Extended statistical modeling under symmetry; the link toward quantum mechanics. Annals of Statistics, 34(1), 42–77. https://doi.org/10.1214/009053605000000868

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