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Tomographic Description of a Quantum Wave Packet in an Accelerated Frame
- Source :
- Entropy, Vol 23, Iss 636, p 636 (2021), Entropy, Volume 23, Issue 5
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- The tomography of a single quantum particle (i.e., a quantum wave packet) in an accelerated frame is studied. We write the Schrödinger equation in a moving reference frame in which acceleration is uniform in space and an arbitrary function of time. Then, we reduce such a problem to the study of spatiotemporal evolution of the wave packet in an inertial frame in the presence of a homogeneous force field but with an arbitrary time dependence. We demonstrate the existence of a Gaussian wave packet solution, for which the position and momentum uncertainties are unaffected by the uniform force field. This implies that, similar to in the case of a force-free motion, the uncertainty product is unaffected by acceleration. In addition, according to the Ehrenfest theorem, the wave packet centroid moves according to classic Newton’s law of a particle experiencing the effects of uniform acceleration. Furthermore, as in free motion, the wave packet exhibits a diffraction spread in the configuration space but not in momentum space. Then, using Radon transform, we determine the quantum tomogram of the Gaussian state evolution in the accelerated frame. Finally, we characterize the wave packet evolution in the accelerated frame in terms of optical and simplectic tomogram evolution in the related tomographic space.
- Subjects :
- Inertial frame of reference
Wave packet
accelerated frame
Science
QC1-999
General Physics and Astronomy
Position and momentum space
Schrödinger equation
Ehrenfest theorem
Astrophysics
01 natural sciences
Article
010305 fluids & plasmas
Momentum
symbols.namesake
Acceleration
0103 physical sciences
010306 general physics
Radon transform
Physics
marginal distribution
Mathematical analysis
QB460-466
equivalence principle
symbols
Reference frame
Subjects
Details
- Language :
- English
- ISSN :
- 10994300
- Volume :
- 23
- Issue :
- 636
- Database :
- OpenAIRE
- Journal :
- Entropy
- Accession number :
- edsair.doi.dedup.....8ab9141d28b96e55ea8fd25ce4cbc6cd