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Numerical analysis and simulation of stochastic partial differential equations with white noise dispersion

Berg, André, 1990- (författare)
Umeå universitet,Institutionen för matematik och matematisk statistik
Cohen, David, Associate professor, 1977- (preses)
Umeå universitet,Institutionen för matematik och matematisk statistik
Åhag, Per, Docent (preses)
Umeå universitet,Institutionen för matematik och matematisk statistik
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Dujardin, Guillaume, Chargé de recherche (preses)
Inria Centre de recherche Lille Nord Europe: Villeneuve-d'Ascq, Hauts-de-France, FR
Goudenège, Ludovic, Associate professor (opponent)
Département de Mathématiques, CentraleSupélec, Paris, France
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 (creator_code:org_t)
ISBN 9789180701419
Umeå : Umeå University, 2023
Engelska 60 s.
Serie: Research report in mathematics, 1653-0810 ; 75/23
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)
Abstract Ämnesord
Stäng  
  • This doctoral thesis provides a comprehensive numerical analysis and exploration of several stochastic partial differential equations (SPDEs). More specifically, this thesis investigates time integrators for SPDEs with white noise dispersion. The thesis begins by examining the stochastic nonlinear Schrödinger equation with white noise dispersion (SNLSE), see Paper 1. The investigation probes the performance of different numerical integrators for this equation, focusing on their convergences, L2-norm preservation, and computational efficiency. Further, this thesis thoroughly investigates a conjecture on the critical exponent of the SNLSE, related to a phenomenon known as blowup, through numerical means. The thesis then introduces and studies exponential integrators for the stochastic Manakov equation (SME) by presenting two new time integrators - the explicit and symmetric exponential integrators - and analyzing their convergence properties, see Paper 2. Notably, this study highlights the flexibility and efficiency of these integrators compared to traditional schemes. The narrative then turns to the Lie-Trotter splitting integrator for the SME, see Paper 3, comparing its performance to existing time integrators. Theoretical proofs for convergence in various senses, alongside extensive numerical experiments, shed light on the efficacy of the proposed numerical scheme. The thesis also deep dives into the critical exponents of the SME, proposing a conjecture regarding blowup conditions for this SPDE.Lastly, the focus shifts to the stochastic generalized Benjamin-Bona-Mahony equation, see Paper 4. The study introduces and numerically assesses four novel exponential integrators for this equation. A primary finding here is the superior performance of the symmetric exponential integrator. This thesis also offers a succinct and novel method to depict the order of convergence in probability.

Ämnesord

NATURVETENSKAP  -- Matematik -- Beräkningsmatematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Computational Mathematics (hsv//eng)

Nyckelord

stochastic partial differential equation
mathematics
numerical analysis
numerical scheme
time integrator
convergence analysis
blowup
critical exponent
nonlinear Schrödinger equation
Manakov equation
Benjamin-Bona-Mahony equation
BBM equation
stochastic
random
dispersion
white noise dispersion
finite difference
pseudospectral
code
matlab
exponential integrator
splitting integrator
convergence in probability
Mathematics
matematik
Numerical Analysis
numerisk analys

Publikations- och innehållstyp

vet (ämneskategori)
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