Asymptotic Methods in Quantum Mechanics

Download or Read eBook Asymptotic Methods in Quantum Mechanics PDF written by S.H. Patil and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 178 pages. Available in PDF, EPUB and Kindle.
Asymptotic Methods in Quantum Mechanics
Author :
Publisher : Springer Science & Business Media
Total Pages : 178
Release :
ISBN-10 : 9783642573170
ISBN-13 : 3642573177
Rating : 4/5 (70 Downloads)

Book Synopsis Asymptotic Methods in Quantum Mechanics by : S.H. Patil

Book excerpt: Quantum mechanics and the Schrodinger equation are the basis for the de scription of the properties of atoms, molecules, and nuclei. The development of reliable, meaningful solutions for the energy eigenfunctions of these many is a formidable problem. The usual approach for obtaining particle systems the eigenfunctions is based on their variational extremum property of the expectation values of the energy. However the complexity of these variational solutions does not allow a transparent, compact description of the physical structure. There are some properties of the wave functions in some specific, spatial domains, which depend on the general structure of the Schrodinger equation and the electromagnetic potential. These properties provide very useful guidelines in developing simple and accurate solutions for the wave functions of these systems, and provide significant insight into their physical structure. This point, though of considerable importance, has not received adequate attention. Here we present a description of the local properties of the wave functions of a collection of particles, in particular the asymptotic properties when one of the particles is far away from the others. The asymptotic behaviour of this wave function depends primarily on the separation energy of the outmost particle. The universal significance of the asymptotic behaviour of the wave functions should be appreciated at both research and pedagogic levels. This is the main aim of our presentation here.


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