Unconditionally stable space–time isogeometric discretization for the wave equation in Hamiltonian formulation

We consider a family of conforming space–time discretizations for the wave equation based on a first-order-in-time formulation employing maximal regularity splines. In contrast with second-order-in-time formulations, which require a CFL condition to guarantee stability, the methods we consider here are unconditionally stable without the need for stabilization terms. Along the lines of the work by Ferrari and Fraschini [ Math. Comput . (2025)], we address the stability analysis by studying the properties of the condition number of a family of matrices associated with the time discretization. Numerical tests validate the performance of the method.

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Publication Details

Journal
ESAIM. Mathematical modelling and numerical analysis
Published
2025-07-20
DOI
https://doi.org/10.1051/m2an/2025056
Citations
2
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
5.26

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article

Unconditionally stable space–time isogeometric discretization for the wave equation in Hamiltonian formulation

Ilaria Perugia, Gabriele Loli, Matteo Ferrari, Sara Fraschini
2 citations
ESAIM. Mathematical modelling and numerical analysis
Numerical methods for differential equations
5.26
article

Unconditionally stable space–time isogeometric discretization for the wave equation in Hamiltonian formulation

Ilaria Perugia, Gabriele Loli, Matteo Ferrari, Sara Fraschini
article en
2 citations

Abstract

We consider a family of conforming space–time discretizations for the wave equation based on a first-order-in-time formulation employing maximal regularity splines. In contrast with second-order-in-time formulations, which require a CFL condition to guarantee stability, the methods we consider here are unconditionally stable without the need for stabilization terms. Along the lines of the work by Ferrari and Fraschini [ Math. Comput . (2025)], we address the stability analysis by studying the properties of the condition number of a family of matrices associated with the time discretization. Numerical tests validate the performance of the method.

ESAIM. Mathematical modelling and numerical analysisVol. 59(5)
Austrian Science Fund
Openalex Percentile: Top 5%
Numerical methods for differential equations
5.26
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