“…Thus the system of (1.1)-(1.2) is usually called the Schrödinger-Poisson system (SPS) in the literature [12,50]. In fact, the corresponding rigorous derivation of this kind of "Hartree equations" was started from a Hartree ansatz for the many-body (e.g., N -body) wave-function by using a "weak coupling scaling" (i.e., a factor 1/N in front of the Coulomb interaction potential) and passing to the limit N → ∞ in the BBGKY hierarchy [13,14,29].…”
Section: ⇐⇒ −δϕ(X T) = |ψ(X T)|mentioning
confidence: 99%
“…In fact, the spatial confinement is an essential feature of many "nanoscale devices" and has gained much attention from both experimental and mathematical studies [3,31,40,42]. Although the SPS (1.3)-(1.4) in 2D or 1D has been used in some of the literature [1,3,12,25,27,42,43,48,50] to simulate low-dimensional quantum systems of fermions such as 2D "electron sheets" or 1D "quantum wires," it is highly debated or mathematically mysterious whether the above SPS is an appropriate model for these confining low-dimensional quantum systems. In fact, intuitively point particles confined to a 2D manifold still interact with the Coulomb interaction potential at O 1 |x| in 2D; thus it seems that the SPS (1.3)-(1.4) in 2D is not an appropriate model.…”
Section: ⇐⇒ −δϕ(X T) = |ψ(X T)|mentioning
confidence: 99%
“…In order to verify numerically the dimension reduction from the 3D SPS (1.1)-(1.2) to the 2D SAM (2.10)-(2.11) with (2.19) and SDM (2.16)-(2.17) and 1D LAM (2.30)-(2.31) with (2.36), to find numerically the convergence rates for the dimension reduction, and to simulate numerically low-dimensional quantum systems based on the 2D and 1D models, in this section, we briefly introduce numerical methods for computing ground states and dynamics of the 2D SAM and SDM and 1D LAM as well as 2D SPS models. For efficient and accurate numerical methods for computing ground states and dynamics of the SPS (1.3)-(1.4) in 3D and 1D, we refer the reader to [26,50] and references therein. In practical computations, the whole space problems (2.…”
Section: Conservation Laws and Ground States Two Important Conservedmentioning
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.
“…Thus the system of (1.1)-(1.2) is usually called the Schrödinger-Poisson system (SPS) in the literature [12,50]. In fact, the corresponding rigorous derivation of this kind of "Hartree equations" was started from a Hartree ansatz for the many-body (e.g., N -body) wave-function by using a "weak coupling scaling" (i.e., a factor 1/N in front of the Coulomb interaction potential) and passing to the limit N → ∞ in the BBGKY hierarchy [13,14,29].…”
Section: ⇐⇒ −δϕ(X T) = |ψ(X T)|mentioning
confidence: 99%
“…In fact, the spatial confinement is an essential feature of many "nanoscale devices" and has gained much attention from both experimental and mathematical studies [3,31,40,42]. Although the SPS (1.3)-(1.4) in 2D or 1D has been used in some of the literature [1,3,12,25,27,42,43,48,50] to simulate low-dimensional quantum systems of fermions such as 2D "electron sheets" or 1D "quantum wires," it is highly debated or mathematically mysterious whether the above SPS is an appropriate model for these confining low-dimensional quantum systems. In fact, intuitively point particles confined to a 2D manifold still interact with the Coulomb interaction potential at O 1 |x| in 2D; thus it seems that the SPS (1.3)-(1.4) in 2D is not an appropriate model.…”
Section: ⇐⇒ −δϕ(X T) = |ψ(X T)|mentioning
confidence: 99%
“…In order to verify numerically the dimension reduction from the 3D SPS (1.1)-(1.2) to the 2D SAM (2.10)-(2.11) with (2.19) and SDM (2.16)-(2.17) and 1D LAM (2.30)-(2.31) with (2.36), to find numerically the convergence rates for the dimension reduction, and to simulate numerically low-dimensional quantum systems based on the 2D and 1D models, in this section, we briefly introduce numerical methods for computing ground states and dynamics of the 2D SAM and SDM and 1D LAM as well as 2D SPS models. For efficient and accurate numerical methods for computing ground states and dynamics of the SPS (1.3)-(1.4) in 3D and 1D, we refer the reader to [26,50] and references therein. In practical computations, the whole space problems (2.…”
Section: Conservation Laws and Ground States Two Important Conservedmentioning
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.
“…In order to design numerical methods for computing the ground state, we first construct a gradient flow with discrete normalization (GFDN) which was widely and successfully used in computing ground states of Bose-Einstein condensation [5,3,21] and the Schrödinger-Poisson-Slater equations [36]. Then the problem is truncated into a box with homogeneous Dirichlet boundary conditions and a backward Euler sine pseudospectral method [4,3,36] is applied to discretize it.…”
Section: Introductionmentioning
confidence: 99%
“…Then the problem is truncated into a box with homogeneous Dirichlet boundary conditions and a backward Euler sine pseudospectral method [4,3,36] is applied to discretize it. For computing the dynamics, again the problem is truncated into a box with homogeneous Dirichlet boundary conditions and a timesplitting sine pseudospectral method [6,7,9,3,36] is applied to discretize it. In particular, when the potential and initial data for dynamics are spherically symmetric, then the problem collapses to a quasi-1D problem.…”
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