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Article
Using Simultaneous Diagonalization and Trace Minimization to Make an Efficient and Simple Multidimensional Basis for Solving the Vibrational Schrödinger Equation
Journal of Chemical Physics
  • Richard Dawes, Missouri University of Science and Technology
  • Tucker Carrington, Jr.
Abstract
In this paper we improve the product simultaneous diagonalization (SD) basis method we previously proposed [J. Chem. Phys. 122, 134101 (2005)] and applied to solve the Schrödinger equation for the motion of nuclei on a potential surface. the improved method is tested using coupled complicated Hamiltonians with as many as 16 coordinates for which we can easily find numerically exact solutions. in a basis of sorted products of one-dimensional (1D) SD functions the Hamiltonian matrix is nearly diagonal. the localization of the 1D SD functions for coordinate qc depends on a parameter we denote αc. in this paper we present a trace minimization scheme for choosing αc to nearly block diagonalize the Hamiltonian matrix. Near-block diagonality makes it possible to truncate the matrix without degrading the accuracy of the lowest energy levels. We show that in the sorted product SD basis perturbation theory works extremely well. the trace minimization scheme is general and easy to implement.
Department(s)
Chemistry
Keywords and Phrases
  • Hamiltonian matrix,
  • Near-block diagonality,
  • Schödinger equation,
  • Trace minimization scheme,
  • Electron energy levels,
  • Functions,
  • Hamiltonians,
  • Perturbation techniques,
  • Problem solving,
  • Differential equations
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2006, American Institute of Physics (AIP), All rights reserved.
Publication Date
2-1-2006
Disciplines
Citation Information
Richard Dawes and Tucker Carrington. "Using Simultaneous Diagonalization and Trace Minimization to Make an Efficient and Simple Multidimensional Basis for Solving the Vibrational Schrödinger Equation" Journal of Chemical Physics Vol. 124 Iss. 5 (2006) ISSN: 0021-9606
Available at: http://works.bepress.com/richard_dawes/46/