Expansion of a wave function in a Gaussian basis. I. Local versus global approximation
The expansion of the ground state wave function ψ(r) of hydrogen‐like ions in a Gaussian basis is derived from a discretization of a Gaussian integral transformation. This derivation involves an upper and a lower cut‐off of the integration variable and the evaluation of the truncated integral by mea...
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Veröffentlicht in: | International journal of quantum chemistry 2013-02, Vol.113 (3), p.203-217 |
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Sprache: | eng |
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Zusammenfassung: | The expansion of the ground state wave function ψ(r) of hydrogen‐like ions in a Gaussian basis is derived from a discretization of a Gaussian integral transformation. This derivation involves an upper and a lower cut‐off of the integration variable and the evaluation of the truncated integral by means of the trapezoid approximation, after a variable transformation to an exponentially decaying bell‐shaped integrand. This automatically leads to an optimized even‐tempered basis. Two criteria are studied, (a) the best approximation of ψ(r) for r = 0, (b) the best approximation for the expectation value of the Hamiltonian. In either case, the rate of convergence obeys a square‐root exponential law with an error estimate
$\sim \exp (-a\sqrt{n})$, if n is the basis size. The value of the constant a depends on the considered property and on the criterion for the optimization of the basis. Simple analytic expressions for the basis parameters α and β of an even‐tempered Gaussian basis are derived. The comparison of the local and global criteria gives some new and even unexpected insight. © 2012 Wiley Periodicals, Inc.
The criteria for measuring the quality of expansion of the ground state wave function (r) of hydrogen‐like ions in a Gaussian basis are discussed in this work. A global criterion, such as the error of the expectation value of the Hamiltonian, is compared with a local criterion, namely the value of the wave function at r = 0, i.e., the position of the nucleus. This comparison provides some new and even unexpected insights. |
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ISSN: | 0020-7608 1097-461X |
DOI: | 10.1002/qua.24224 |