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Title: Dimension reduction of the schrödinger equation with coulomb and anisotropic confining potentials
Authors: Bao, W. 
Jian, H.
Mauser, N.J.
Zhang, Y.
Keywords: Anisotropic confining potential
Coulomb interaction
Dimension reduction
Low-dimensional quantum systems
Nonlinear Schrödinger equation
Schrödinger-Poisson system
Issue Date: 2013
Citation: Bao, W., Jian, H., Mauser, N.J., Zhang, Y. (2013). Dimension reduction of the schrödinger equation with coulomb and anisotropic confining potentials. SIAM Journal on Applied Mathematics 73 (6) : 2100-2123. ScholarBank@NUS Repository.
Abstract: We consider dimension reduction for the three-dimensional (3D) Schrödinger equation with the Coulomb interaction and an anisotropic confining potential to lower-dimensional models in the limit of infinitely strong confinement in one or two space dimensions and obtain formally the surface adiabatic model (SAM) or surface density model (SDM) in two dimensions (2D) and the line adiabatic model (LAM) in one dimension (1D). Efficient and accurate numerical methods for computing ground states and dynamics of the SAM, SDM, and LAM models are presented based on efficient and accurate numerical schemes for evaluating the effective potential in lower-dimensional models. They are applied to find numerically convergence and convergence rates for the dimension reduction from 3D to 2D and 3D to 1D in terms of ground state and dynamics, which confirm some existing analytical results for the dimension reduction in the literature. In particular, we explain and demonstrate that the standard Schrödinger-Poisson system in 2D is not appropriate to simulate a "2D electron gas" of point particles confined to a plane (or, more generally, a 2D manifold), whereas SDM should be the correct model to be used for describing the Coulomb interaction in 2D in which the square root of Laplacian operator is used instead of the Laplacian operator. Finally, we report ground states and dynamics of the SAM and SDM in 2D and LAM in 1D under different setups. Copyright © by SIAM.
Source Title: SIAM Journal on Applied Mathematics
ISSN: 00361399
DOI: 10.1137/13091436X
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