On the Statistical Properties of Linear Quantization and Inverse Operator

The paper uses an approach to the formal description of linear quantization as a statistical mixture of operators of the so-called tau quantization. This allows us to consider arbitrary Hermitian linear quantization as a linear integral operator acting on functions from the space of canonical variables and translating them into matrix elements of the quantum operator. In such a scheme, various quantization rules are uniformly studied: Weyl, Born, Jordan, and a number of others. The main result relates to the proof of the uniqueness of Weyl quantization as an operator, which is answered by the inverse operator generating a positive definite probability measure. For any other quantization, the inverse operator (dequantization) generates a measure that is not positive definite.

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Publication Details

Journal
Lobachevskii Journal of Mathematics
Published
2025-09-01
DOI
https://doi.org/10.1134/s1995080225611038
Primary Topic
advanced mathematical theories
Type
article
Field-Weighted Citation Impact
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article

On the Statistical Properties of Linear Quantization and Inverse Operator

Orlov IuN, V. Zh. Sakbaev
Lobachevskii Journal of Mathematics
advanced mathematical theories
article

On the Statistical Properties of Linear Quantization and Inverse Operator

Orlov IuN, V. Zh. Sakbaev
article en

Abstract

The paper uses an approach to the formal description of linear quantization as a statistical mixture of operators of the so-called tau quantization. This allows us to consider arbitrary Hermitian linear quantization as a linear integral operator acting on functions from the space of canonical variables and translating them into matrix elements of the quantum operator. In such a scheme, various quantization rules are uniformly studied: Weyl, Born, Jordan, and a number of others. The main result relates to the proof of the uniqueness of Weyl quantization as an operator, which is answered by the inverse operator generating a positive definite probability measure. For any other quantization, the inverse operator (dequantization) generates a measure that is not positive definite.

Lobachevskii Journal of MathematicsVol. 46(9)
Keldysh Institute of Applied Mathematics (RU)
Openalex Percentile: Top 18%
advanced mathematical theories
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