Quasilinearization approach to quantum mechanics
R. Krivec, V. B. Mandelzweig
Abstract
The quasilinearization method (QLM) of solving nonlinear differential equations is applied to the quantum mechanics by casting the Schrödinger equation in the nonlinear Riccati form. The method, whose mathematical basis in physics was discussed recently by one of the present authors (VBM), approaches the solution of a nonlinear differential equation by approximating the nonlinear terms by a sequence of the linear ones, and is not based on the existence of some kind of a small parameter. It is shown that the quasilinearization method gives excellent results when applied to computation of ground and excited bound state energies and wave functions for a variety of the potentials in quantum mechanics most of which are not treatable with the help of the perturbation theory or the 1/N expansion scheme. The convergence of the QLM expansion of both energies and wave functions for all states is very fast and already the first few iterations yield extremely precise results. The precison of the wave function is typically only one digit inferior to that of the energy. In addition it is verified that the QLM approximations, unlike the asymptotic series in the perturbation theory and the 1/N expansions are not divergent at higher orders.
Create a lesson
Related papers
How durable are high-performance racing shoes?
Jeremy A. McCulloch, Ellen Kuhl
Correlation-Free Transition Path Sampling through Shooting Point Generation Guided by Committor Learning
Maximilian Negedly, Sebastian Falkner, Alessandro Coretti et al.
Exergy-Anergy Representation of Turbomachine Performance Characteristics
Tihomir Varchev, Yiwen Yuan, Tobias Schateikis et al.
Mollified-sharp decomposition: a probabilistic regularization of parametric POD for shock-bearing flows
Oliver T. Schmidt
Load balancing for adaptive-precision interatomic potentials in materials science
David Immel, Godehard Sutmann
Braided endovascular implants for intracranial aneurysms: mechanics, hemodynamics, and clinical translation
Ratnadeep Pramanik, Duygu Dengiz, Mariya S. Pravdivtseva et al.