Premium
Near‐exact supersymmetric partner potentials: Construction and exploitation
Author(s) -
Mukherjee Neetik,
Pathak Ranjit K.,
Bhattacharyya Kamal
Publication year - 2010
Publication title -
international journal of quantum chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.484
H-Index - 105
eISSN - 1097-461X
pISSN - 0020-7608
DOI - 10.1002/qua.22925
Subject(s) - supersymmetry , eigenvalues and eigenvectors , bounding overwatch , hilbert space , schrödinger equation , construct (python library) , supersymmetric quantum mechanics , space (punctuation) , matrix (chemical analysis) , operator (biology) , work (physics) , mathematics , quantum , physics , quantum mechanics , computer science , quantum statistical mechanics , biochemistry , chemistry , materials science , repressor , artificial intelligence , transcription factor , composite material , gene , programming language , operating system
Precise supersymmetric (SUSY) partner potentials can be generated only for exactly solvable problems of the stationary Schrödinger equation. This is a severe restriction, as most problems are not amenable to exact solutions. We employ here a linear variational strategy to explicitly construct approximate SUSY partners of a few common, not exactly solvable potentials and subsequently examine their properties to explore the advantages in practical implementation. The efficacy of our proposed scheme is commendable. We demonstrate that, for symmetric potentials, the constructed partners may be so good that the overall recipe has the nicety of generating the whole eigenspectrum by employing only half of the full Hilbert space functions. A similar strategy is shown to work for the odd states too, with proper boundary conditions. Pilot calculations involve a number of low‐lying states of some mixed oscillator and double‐well potentials. Analysis of the results reveals a few interesting features of the problem of construction of approximate SUSY partners and their practical use. Particularly, we identify places where the operator‐level approximations are involved and how far they affect the bounding properties of energies that are obtained as eigenvalues of a matrix diagonalization problem associated with linear variations. © 2010 Wiley Periodicals, Inc. Int J Quantum Chem, 2011