Majorization Formulation of Uncertainty in Quantum Mechanics

TL;DR

This paper develops a majorization-based framework for formulating and quantifying uncertainty in quantum mechanics, providing stronger bounds and operational insights beyond traditional entropic measures.

Contribution

It introduces a majorization approach to quantum uncertainty, deriving new bounds and conditions that improve upon existing quasi-entropic formulations.

Findings

Derived a partial order on probability vectors for measurement outcomes.

Calculated optimal majorization bounds for mutually unbiased bases.

Established a majorization condition for the least uncertain measurement.

Abstract

Heisenberg's uncertainty principle is formulated for a set of generalized measurements within the framework of majorization theory, resulting in a partial uncertainty order on probability vectors that is stronger than those based on quasi-entropic measures. The theorem that results from this formulation guarantees that the uncertainty of the results of a set of generalized measurements without a common eigenstate has an inviolable lower bound which depends on the measurement set but not the state. A corollary to this theorem yields a parallel formulation of the uncertainty principle for generalized measurements based on quasi-entropic measures. Optimal majorization bounds for two and three mutually unbiased bases in two dimensions are calculated. Similarly, the leading term of the majorization bound for position and momentum measurements is calculated which provides a strong statement of Heisenberg's uncertainty principle in direct operational terms. Another theorem provides a majorization condition for the least uncertain generalized measurement of a given state with interesting physical implications.