In this paper we propose fast solution methods for the Cauchy problem for the multidimensional Schrödinger equation. Our approach is based on the approximation of the data by the basis functions introduced in the theory of approximate approximations. We obtain high-order approximations also in higher dimensions up to a small saturation error, which is negligible in computations, and we prove error estimates in mixed Lebesgue spaces for the inhomogeneous equation. The proposed method is very efficient in high dimensions if the densities allow separated representations. We illustrate the efficiency of the procedure on different examples, up to approximation order 6 and space dimension 200.

A fast solution method for time dependent multidimensional Schrödinger equations / Lanzara, Flavia; Vladimir, Maz'Ya; Gunther, Schmidt. - In: APPLICABLE ANALYSIS. - ISSN 0003-6811. - STAMPA. - 98:(2019), pp. 408-429. [10.1080/00036811.2017.1359571]

A fast solution method for time dependent multidimensional Schrödinger equations

LANZARA, Flavia
;
2019

Abstract

In this paper we propose fast solution methods for the Cauchy problem for the multidimensional Schrödinger equation. Our approach is based on the approximation of the data by the basis functions introduced in the theory of approximate approximations. We obtain high-order approximations also in higher dimensions up to a small saturation error, which is negligible in computations, and we prove error estimates in mixed Lebesgue spaces for the inhomogeneous equation. The proposed method is very efficient in high dimensions if the densities allow separated representations. We illustrate the efficiency of the procedure on different examples, up to approximation order 6 and space dimension 200.
2019
Schrödinger equation; higher dimensions; separated representations; error estimates
01 Pubblicazione su rivista::01a Articolo in rivista
A fast solution method for time dependent multidimensional Schrödinger equations / Lanzara, Flavia; Vladimir, Maz'Ya; Gunther, Schmidt. - In: APPLICABLE ANALYSIS. - ISSN 0003-6811. - STAMPA. - 98:(2019), pp. 408-429. [10.1080/00036811.2017.1359571]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1001918
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