Extended statistical modeling under symmetry; The link toward quantum mechanics

• 成果类型: Article
• 署名作者: Helland, Inge S.
• 署名单位: University of Oslo
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/009053605000000868
• 发表日期: 2006
• 页码: 42-77
• 关键词: Causal Inference; probability

摘要

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 Pi of the parameter spaces of these experiments. The set of possible parameters is constrained to lie in a subspace of Pi, 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 c 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.