uu.seUppsala University Publications

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Numerical Methods for Wave Propagation: Analysis and Applications in Quantum DynamicsPrimeFaces.cw("AccordionPanel","widget_formSmash_some",{id:"formSmash:some",widgetVar:"widget_formSmash_some",multiple:true}); PrimeFaces.cw("AccordionPanel","widget_formSmash_all",{id:"formSmash:all",widgetVar:"widget_formSmash_all",multiple:true});
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PrimeFaces.cw("AccordionPanel","widget_formSmash_responsibleOrgs",{id:"formSmash:responsibleOrgs",widgetVar:"widget_formSmash_responsibleOrgs",multiple:true}); 2016 (English)Doctoral thesis, comprehensive summary (Other academic)
##### Abstract [en]

##### Place, publisher, year, edition, pages

Uppsala: Acta Universitatis Upsaliensis, 2016. , p. 33
##### Series

Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1330
##### Keyword [en]

computational wave propagation, quantum dynamics, time-dependent Schrödinger equation, spectral methods, Gaussian beams, splitting methods, low-rank approximation
##### National Category

Computational Mathematics
##### Research subject

Scientific Computing
##### Identifiers

URN: urn:nbn:se:uu:diva-268625ISBN: 978-91-554-9437-7 (print)OAI: oai:DiVA.org:uu-268625DiVA, id: diva2:878164
##### Public defence

2016-02-12, ITC 2446, Lägerhyddsvägen 2, Uppsala, 10:15 (English)
##### Opponent

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##### Supervisors

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#####

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##### Projects

eSSENCE
Available from: 2016-01-19 Created: 2015-12-08 Last updated: 2016-02-12
##### List of papers

We study numerical methods for time-dependent partial differential equations describing wave propagation, primarily applied to problems in quantum dynamics governed by the time-dependent Schrödinger equation (TDSE). We consider both methods for spatial approximation and for time stepping. In most settings, numerical solution of the TDSE is more challenging than solving a hyperbolic wave equation. This is mainly because the dispersion relation of the TDSE makes it very sensitive to dispersion error, and infers a stringent time step restriction for standard explicit time stepping schemes. The TDSE is also often posed in high dimensions, where standard methods are intractable.

The sensitivity to dispersion error makes spectral methods advantageous for the TDSE. We use spectral or pseudospectral methods in all except one of the included papers. In Paper III we improve and analyse the accuracy of the Fourier pseudospectral method applied to a problem with limited regularity, and in Paper V we construct a matrix-free spectral method for problems with non-trivial boundary conditions. Due to its stiffness, the TDSE is most often solved using exponential time integration. In this thesis we use exponential operator splitting and Krylov subspace methods. We rigorously prove convergence for force-gradient operator splitting methods in Paper IV. One way of making high-dimensional problems computationally tractable is low-rank approximation. In Paper VI we prove that a splitting method for dynamical low-rank approximation is robust to singular values in the approximation approaching zero, a situation which is difficult to handle since it implies strong curvature of the approximation space.

1. An adaptive pseudospectral method for wave packet dynamics$(function(){PrimeFaces.cw("OverlayPanel","overlay543178",{id:"formSmash:j_idt505:0:j_idt509",widgetVar:"overlay543178",target:"formSmash:j_idt505:0:partsLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

2. Coupling of Gaussian beam and finite difference solvers for semiclassical Schrödinger equations$(function(){PrimeFaces.cw("OverlayPanel","overlay852943",{id:"formSmash:j_idt505:1:j_idt509",widgetVar:"overlay852943",target:"formSmash:j_idt505:1:partsLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

3. Accelerated convergence for Schrödinger equations with non-smooth potentials$(function(){PrimeFaces.cw("OverlayPanel","overlay685322",{id:"formSmash:j_idt505:2:j_idt509",widgetVar:"overlay685322",target:"formSmash:j_idt505:2:partsLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

4. Stiff convergence of force-gradient operator splitting methods$(function(){PrimeFaces.cw("OverlayPanel","overlay798262",{id:"formSmash:j_idt505:3:j_idt509",widgetVar:"overlay798262",target:"formSmash:j_idt505:3:partsLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

5. A matrix-free Legendre spectral method for initial–boundary value problems$(function(){PrimeFaces.cw("OverlayPanel","overlay874114",{id:"formSmash:j_idt505:4:j_idt509",widgetVar:"overlay874114",target:"formSmash:j_idt505:4:partsLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

6. Discretized dynamical low-rank approximation in the presence of small singular values$(function(){PrimeFaces.cw("OverlayPanel","overlay874116",{id:"formSmash:j_idt505:5:j_idt509",widgetVar:"overlay874116",target:"formSmash:j_idt505:5:partsLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

isbn
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