Detecting level crossings without solving the Hamiltonian. I. Mathematical background
Abstract
When the parameters of a physical system are varied, the eigenvalues of observables can undergo crossings and avoided crossings among themselves. It is relevant to be aware of such points since important physical processes often occur there. In a recent paper [M. Bhattacharya and C. Raman, Phys. Rev. Lett. 97, 140405 (2006)] we introduced a powerful algebraic solution to the problem of finding (avoided) crossings in atomic and molecular spectra. This was done via a mapping to the problem of locating the roots of a polynomial in the parameters of interest. In this article we describe our method in detail. Given a physical system that can be represented by a matrix, we show how to find a bound on the number of (avoided) crossings in its spectrum, the scaling of this bound with the size of the Hilbert space and the parametric dependencies of the Hamiltonian, the interval in which the (avoided) crossings all lie in parameter space, the number of crossings at any given parameter value, and the minimum separation between the (avoided) crossings. We also show how the crossings can reveal the symmetries of the physical system, how (avoided) crossings can always be found without solving for themore »
 Authors:
 School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332 (United States)
 Publication Date:
 OSTI Identifier:
 20982353
 Resource Type:
 Journal Article
 Resource Relation:
 Journal Name: Physical Review. A; Journal Volume: 75; Journal Issue: 3; Other Information: DOI: 10.1103/PhysRevA.75.033405; (c) 2007 The American Physical Society; Country of input: International Atomic Energy Agency (IAEA)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 74 ATOMIC AND MOLECULAR PHYSICS; ATOMS; EIGENFUNCTIONS; EIGENVALUES; ENERGY LEVELS; HAMILTONIANS; HILBERT SPACE; MATHEMATICAL SOLUTIONS; MATRICES; MOLECULES; POLYNOMIALS; SCALING; SPECTRA; SYMMETRY
Citation Formats
Bhattacharya, M., and Raman, C.. Detecting level crossings without solving the Hamiltonian. I. Mathematical background. United States: N. p., 2007.
Web. doi:10.1103/PHYSREVA.75.033405.
Bhattacharya, M., & Raman, C.. Detecting level crossings without solving the Hamiltonian. I. Mathematical background. United States. doi:10.1103/PHYSREVA.75.033405.
Bhattacharya, M., and Raman, C.. Thu .
"Detecting level crossings without solving the Hamiltonian. I. Mathematical background". United States.
doi:10.1103/PHYSREVA.75.033405.
@article{osti_20982353,
title = {Detecting level crossings without solving the Hamiltonian. I. Mathematical background},
author = {Bhattacharya, M. and Raman, C.},
abstractNote = {When the parameters of a physical system are varied, the eigenvalues of observables can undergo crossings and avoided crossings among themselves. It is relevant to be aware of such points since important physical processes often occur there. In a recent paper [M. Bhattacharya and C. Raman, Phys. Rev. Lett. 97, 140405 (2006)] we introduced a powerful algebraic solution to the problem of finding (avoided) crossings in atomic and molecular spectra. This was done via a mapping to the problem of locating the roots of a polynomial in the parameters of interest. In this article we describe our method in detail. Given a physical system that can be represented by a matrix, we show how to find a bound on the number of (avoided) crossings in its spectrum, the scaling of this bound with the size of the Hilbert space and the parametric dependencies of the Hamiltonian, the interval in which the (avoided) crossings all lie in parameter space, the number of crossings at any given parameter value, and the minimum separation between the (avoided) crossings. We also show how the crossings can reveal the symmetries of the physical system, how (avoided) crossings can always be found without solving for the eigenvalues, how they may sometimes be found even in case the Hamiltonian is not fully known, and how crossings may be visualized in a more direct way than displayed by the spectrum. In the accompanying paper [M. Bhattacharya and C. Raman, Phys. Rev. A 75, 033406 (2007)] we detail the application of these techniques to atoms and molecules.},
doi = {10.1103/PHYSREVA.75.033405},
journal = {Physical Review. A},
number = 3,
volume = 75,
place = {United States},
year = {Thu Mar 15 00:00:00 EDT 2007},
month = {Thu Mar 15 00:00:00 EDT 2007}
}

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