Energetic Spectrum of a Particle in Three-dimensional Infinite Potential Square Well in Point of View of Number Theory and Bayesian Statistics

Using results of number theory we develop an approximate statistical model of energy levels of particles in a three-dimensional infinite potential well depending on whether there is exactly one particle or more than one particles in the well. The model is used to perform a statistical inference abo...

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Main Authors: Pavel Jahoda, Jan Kracik, David Ulcak
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2017-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/2248
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author Pavel Jahoda
Jan Kracik
David Ulcak
author_facet Pavel Jahoda
Jan Kracik
David Ulcak
author_sort Pavel Jahoda
collection DOAJ
description Using results of number theory we develop an approximate statistical model of energy levels of particles in a three-dimensional infinite potential well depending on whether there is exactly one particle or more than one particles in the well. The model is used to perform a statistical inference about the number of particles in the well. The estimation procedure is developed within the Bayesian framework.
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spelling doaj.art-bc93a381d9b2416fa1288f82431f7db32023-05-14T20:50:11ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192017-01-0115229630310.15598/aeee.v15i2.2248899Energetic Spectrum of a Particle in Three-dimensional Infinite Potential Square Well in Point of View of Number Theory and Bayesian StatisticsPavel Jahoda0Jan Kracik1David Ulcak2Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VSB-Technical university of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicDepartment of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VSB-Technical university of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicDepartment of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VSB-Technical university of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicUsing results of number theory we develop an approximate statistical model of energy levels of particles in a three-dimensional infinite potential well depending on whether there is exactly one particle or more than one particles in the well. The model is used to perform a statistical inference about the number of particles in the well. The estimation procedure is developed within the Bayesian framework.http://advances.utc.sk/index.php/AEEE/article/view/2248asymptotic densitybayesian inferencenumber theorypotential well.
spellingShingle Pavel Jahoda
Jan Kracik
David Ulcak
Energetic Spectrum of a Particle in Three-dimensional Infinite Potential Square Well in Point of View of Number Theory and Bayesian Statistics
Advances in Electrical and Electronic Engineering
asymptotic density
bayesian inference
number theory
potential well.
title Energetic Spectrum of a Particle in Three-dimensional Infinite Potential Square Well in Point of View of Number Theory and Bayesian Statistics
title_full Energetic Spectrum of a Particle in Three-dimensional Infinite Potential Square Well in Point of View of Number Theory and Bayesian Statistics
title_fullStr Energetic Spectrum of a Particle in Three-dimensional Infinite Potential Square Well in Point of View of Number Theory and Bayesian Statistics
title_full_unstemmed Energetic Spectrum of a Particle in Three-dimensional Infinite Potential Square Well in Point of View of Number Theory and Bayesian Statistics
title_short Energetic Spectrum of a Particle in Three-dimensional Infinite Potential Square Well in Point of View of Number Theory and Bayesian Statistics
title_sort energetic spectrum of a particle in three dimensional infinite potential square well in point of view of number theory and bayesian statistics
topic asymptotic density
bayesian inference
number theory
potential well.
url http://advances.utc.sk/index.php/AEEE/article/view/2248
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