Legendre spectral element method (LSEM) to simulate the two-dimensional system of nonlinear stochastic advection–reaction–diffusion models

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Mostafa Abbaszadeh
  • Mehdi Dehghan
  • Amirreza Khodadadian
  • Thomas Wick

Organisationseinheiten

Externe Organisationen

  • Amirkabir University of Technology
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Details

OriginalspracheEnglisch
Seiten (von - bis)2279-2294
Seitenumfang16
FachzeitschriftApplicable analysis
Jahrgang101
Ausgabenummer6
PublikationsstatusVeröffentlicht - 26 Aug. 2020

Abstract

In this work, we develop a Legendre spectral element method (LSEM) for solving the stochastic nonlinear system of advection–reaction–diffusion models. The used basis functions are based on a class of Legendre functions such that their mass and diffuse matrices are tridiagonal and diagonal, respectively. The temporal variable is discretized by a Crank–Nicolson finite-difference formulation. In the stochastic direction, we also employ a random variable W based on the Q-Wiener process. We inspect the rate of convergence and the unconditional stability for the achieved semi-discrete formulation. Then, the Legendre spectral element technique is used to obtain a full-discrete scheme. The error estimation of the proposed numerical scheme is substantiated based upon the energy method. The numerical results confirm the theoretical analysis.

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Legendre spectral element method (LSEM) to simulate the two-dimensional system of nonlinear stochastic advection–reaction–diffusion models. / Abbaszadeh, Mostafa; Dehghan, Mehdi; Khodadadian, Amirreza et al.
in: Applicable analysis, Jahrgang 101, Nr. 6, 26.08.2020, S. 2279-2294.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Abbaszadeh, Mostafa ; Dehghan, Mehdi ; Khodadadian, Amirreza et al. / Legendre spectral element method (LSEM) to simulate the two-dimensional system of nonlinear stochastic advection–reaction–diffusion models. in: Applicable analysis. 2020 ; Jahrgang 101, Nr. 6. S. 2279-2294.
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title = "Legendre spectral element method (LSEM) to simulate the two-dimensional system of nonlinear stochastic advection–reaction–diffusion models",
abstract = "In this work, we develop a Legendre spectral element method (LSEM) for solving the stochastic nonlinear system of advection–reaction–diffusion models. The used basis functions are based on a class of Legendre functions such that their mass and diffuse matrices are tridiagonal and diagonal, respectively. The temporal variable is discretized by a Crank–Nicolson finite-difference formulation. In the stochastic direction, we also employ a random variable W based on the Q-Wiener process. We inspect the rate of convergence and the unconditional stability for the achieved semi-discrete formulation. Then, the Legendre spectral element technique is used to obtain a full-discrete scheme. The error estimation of the proposed numerical scheme is substantiated based upon the energy method. The numerical results confirm the theoretical analysis.",
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AU - Abbaszadeh, Mostafa

AU - Dehghan, Mehdi

AU - Khodadadian, Amirreza

AU - Wick, Thomas

N1 - Funding Information: The authors are grateful to the reviewers for carefully reading this paper and for their comments and suggestions which have improved the paper.

PY - 2020/8/26

Y1 - 2020/8/26

N2 - In this work, we develop a Legendre spectral element method (LSEM) for solving the stochastic nonlinear system of advection–reaction–diffusion models. The used basis functions are based on a class of Legendre functions such that their mass and diffuse matrices are tridiagonal and diagonal, respectively. The temporal variable is discretized by a Crank–Nicolson finite-difference formulation. In the stochastic direction, we also employ a random variable W based on the Q-Wiener process. We inspect the rate of convergence and the unconditional stability for the achieved semi-discrete formulation. Then, the Legendre spectral element technique is used to obtain a full-discrete scheme. The error estimation of the proposed numerical scheme is substantiated based upon the energy method. The numerical results confirm the theoretical analysis.

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KW - error estimate

KW - Nonlinear system of advection–reaction–diffusion equation

KW - spectral element method (SEM)

KW - stochastic PDEs

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