Abstract

We formulate uncertainty relations for arbitrary N observables. Two uncertainty inequalities are presented in terms of the sum of variances and standard deviations, respectively. The lower bounds of the corresponding sum uncertainty relations are explicitly derived. These bounds are shown to be tighter than the ones such as derived from the uncertainty inequality for two observables [Phys. Rev. Lett. 113, 260401 (2014)]. Detailed examples are presented to compare among our results with some existing ones.

Highlights

  • We formulate uncertainty relations for arbitrary N observables

  • The corresponding uncertainty inequalities are of great importance for both theoretical investigation and experimental implementation

  • We present a sum of variance-based uncertainty relation and a standard deviation-based sum uncertainty relation for N observables

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Summary

Introduction

We formulate uncertainty relations for arbitrary N observables. Two uncertainty inequalities are presented in terms of the sum of variances and standard deviations, respectively. The product of the standard deviation ΔAΔB is null if the measured state ψ is an eigenstate of one of the two observables. It is shown that the lower bounds of their uncertainty inequalities are nontrivial, whenever the two observables are incompatible with respect to the measured states (the states are not common eigenstates of both two observables).

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