2018
DOI: 10.48550/arxiv.1812.04200
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Transparent Boundary Conditions for the Time-Dependent Schrödinger Equation with a Vector Potential

Jason Kaye,
Leslie Greengard

Abstract: We consider the problem of constructing transparent boundary conditions for the time-dependent Schrödinger equation with a compactly supported binding potential and, if desired, a spatially uniform, time-dependent electromagnetic vector potential. Such conditions prevent nonphysical boundary effects from corrupting a numerical solution in a bounded computational domain. We use ideas from potential theory to build exact nonlocal conditions for arbitrary piecewise-smooth domains. These generalize the standard Di… Show more

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Cited by 8 publications
(13 citation statements)
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“…This leads to an algorithm which, for a given accuracy, has a computational cost scaling as O N 2 in the number N of time steps, and a memory requirement scaling as O (N ). This is a typical challenge associated with the application of Volterra integral operators, and several techniques have been proposed to address it, particularly in the context of solving Volterra integral equations [12][13][14][15][16][17][18] and applying Volterra integral operators corresponding to nonlocal transparent boundary conditions [19][20][21][22][23][24]. We will make use of one such approach -the sum of exponentials approximation method -to obtain a high-order accurate numerical method with O (N log N ) computational complexity and O (log N ) memory complexity.…”
Section: Physical Domain Discretizationmentioning
confidence: 99%
“…This leads to an algorithm which, for a given accuracy, has a computational cost scaling as O N 2 in the number N of time steps, and a memory requirement scaling as O (N ). This is a typical challenge associated with the application of Volterra integral operators, and several techniques have been proposed to address it, particularly in the context of solving Volterra integral equations [12][13][14][15][16][17][18] and applying Volterra integral operators corresponding to nonlocal transparent boundary conditions [19][20][21][22][23][24]. We will make use of one such approach -the sum of exponentials approximation method -to obtain a high-order accurate numerical method with O (N log N ) computational complexity and O (log N ) memory complexity.…”
Section: Physical Domain Discretizationmentioning
confidence: 99%
“…The problem of efficient Volterra history integration is well known in the scientific computing literature, and several techniques have been proposed, particularly in the context of solving Volterra integral equations and computing nonlocal transparent boundary conditions. We mention fast Fourier transform (FFT)-based methods [27], methods based on sum-of-exponentials projections of the history [28][29][30][31][32][33][34][35], convolution quadrature [36,37], and hierarchical low-rank or butterfly matrix compression [22,38,39]. Of the methods mentioned above, several have been applied to the efficient numerical solution of convolutional nonlinear Volterra integral equations [27,37,38].…”
Section: Introductionmentioning
confidence: 99%
“…Most of the literature dealing with numerical approximation schemes on unbounded domains, has been concerned with the existence of transparent or absorbing boundary conditions, see e.g. [KG18,JG07] and references therein, for electro-magnetic time-dependent Schrödinger equations. In [KG18] spatial restrictions are imposed on the electromagnetic vector potential, to avoid undesired boundary effects.…”
Section: Introductionmentioning
confidence: 99%
“…[KG18,JG07] and references therein, for electro-magnetic time-dependent Schrödinger equations. In [KG18] spatial restrictions are imposed on the electromagnetic vector potential, to avoid undesired boundary effects. In this work, we circumvent such undesired restrictions by studying a somewhat different question: Can we forget about the unboundedness of the domain and just restrict the dynamics to a bounded domain whose size is uniform in the input parameters (initial state, potentials, control) of our problem?…”
Section: Introductionmentioning
confidence: 99%