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Non-commutative probability, joint distributions, conditioning, and the associated polymorphisms
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Non-commutative probability, joint distributions, conditioning, and the associated polymorphisms

Palle E. T Jorgensen and James Tian
ArXiv.org
Cornell University
07/16/2024
DOI: 10.48550/arxiv.2407.11846
url
https://doi.org/10.48550/arxiv.2407.11846View
Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

We present a parallel between commutative and non-commutative polymorphisms. Our emphasis is the applications to conditional distributions from stochastic processes. In the classical case, both the measures and the positive definite kernels are scalar valued. But the non-commutative framework (as motivated by quantum theory) dictates a setting where instead now both the measures (in the form of quantum states), and the positive definite kernels, are operator valued. The non-commutative theory entails a systematic study of positive operator valued measures, abbreviated POVMs. And quantum states (normal states) are indexed by normalized positive trace-class operators. In the non-commutative theory, the parallel to the commutative/scalar valued theory helps us understand entanglement in quantum information. A further implication of our study of the non-commutative framework will entail an interplay between the two cases, scalar valued, vs operator valued.
Mathematics - Functional Analysis Mathematics - Mathematical Physics Physics - Mathematical Physics Physics - Quantum Physics

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