Abstract

We define and study the notion of quantum polarity, which is a kind of geometric Fourier transform between sets of positions and sets of momenta. Extending previous work of ours, we show that the orthogonal projections of the covariance ellipsoid of a quantum state on the configuration and momentum spaces form what we call a dual quantum pair. We thereafter show that quantum polarity allows solving the Pauli reconstruction problem for Gaussian wavefunctions. The notion of quantum polarity exhibits a strong interplay between the uncertainty principle and symplectic and convex geometry and our approach could therefore pave the way for a geometric and topological version of quantum indeterminacy. We relate our results to the Blaschke–Santaló inequality and to the Mahler conjecture. We also discuss the Hardy uncertainty principle and the less-known Donoho–Stark principle from the point of view of quantum polarity.

Highlights

  • The notion of duality is omnipresent in science and philosophy, and in human thinking [38]

  • In this article we introduce a new kind of duality in quantum mechanics, having its roots in convex geometry

  • This example suggests that the uncertainty principle (UP) can be expressed using polar duality, which is a tool from convex geometry

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Summary

Introduction

The notion of duality is omnipresent in science and philosophy, and in human thinking [38]. Duality in science is usually implemented using a transformation which serves as a dictionary for translating between two different representations of an object. In quantum mechanics this role is played by the Fourier transform which allows one to switch from the position representation to the momentum representation. In this article we introduce a new kind of duality in quantum mechanics, having its roots in convex geometry. While the Fourier transform turns a function in x-space into a function in p-space our duality turns a set of positions into a set of momenta: it is a kind of proto-Fourier transform operating between sets, and

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Notation and Terminology
Density Matrices and Their Wigner Distributions
The Covariance Matrix and Ellipsoid
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Symplectic Covariance
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Gromov’s Symplectic Non‐squeezing Theorem
Symplectic Capacities
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Polar Duality in Convex Geometry
Quantum Dual Pairs
Polar Duality and Lagrangian Planes
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Polar Duality and Symplectic Capacity
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The Schur Complement
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Quadratic Hamiltonians
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Time‐Evolution of a Dual Quantum Pair
Pauli’s Problem and Polar Duality
The Wigner and Fourier Transforms of Gaussians
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Saturation of the RSUP
The Reconstruction Theorem
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The Mahler Volume and Related Topics
Some Known Results
Mahler Volume and Symplectic Capacity
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Donoho and Stark’s Uncertainty Principle
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Full Text
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