Published July 1, 2010
| Version v1
Journal article
Bloch decomposition-based Gaussian beam method for the Schroedinger equation with periodic potentials
Creators
- 1. Department of Mathematics, University of Wisconsin, Madison, WI 53706 (United States)
- 2. Department of Mathematical Sciences, Tsinghua University, Beijing 10084 (China)
Description
The linear Schroedinger equation with periodic potentials is an important model in solid state physics. The most efficient direct simulation using a Bloch decomposition-based time-splitting spectral method requires the mesh size to be O(ε) where ε is the scaled semiclassical parameter. In this paper, we generalize the Gaussian beam method introduced in Jin et al. to solve this problem asymptotically. We combine the technique of Bloch decomposition and the Eulerian Gaussian beam method to arrive at an Eulerian computational method that requires mesh size of O(√(ε)). The accuracy of this method is demonstrated via several numerical examples.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jcp.2010.01.025Additional details
Identifiers
- DOI
- 10.1016/j.jcp.2010.01.025;
- PII
- S0021-9991(10)00048-3;
Publishing Information
- Journal Title
- Journal of Computational Physics
- Journal Volume
- 229
- Journal Issue
- 13
- Journal Page Range
- p. 4869-4883
- ISSN
- 0021-9991
- CODEN
- JCTPAH
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41069784
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- BLOCH EQUATIONS; BOLTZMANN-VLASOV EQUATION; PERIODICITY; POTENTIALS; SCHROEDINGER EQUATION; SEMICLASSICAL APPROXIMATION; SIMULATION; SOLID STATE PHYSICS
- Descriptors DEC
- APPROXIMATIONS; CALCULATION METHODS; DIFFERENTIAL EQUATIONS; EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; PHYSICS; VARIATIONS; WAVE EQUATIONS
Optional Information
- Copyright
- Copyright (c) 2010 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.