Stabilized Time Series Expansions for High-Order Finite Element Solutions of Partial Differential Equations
Ahmad Deeb, Denys Dutykh

TL;DR
This paper introduces a stabilization method for high-order finite element solutions of PDEs in time series expansions, enabling more terms to be computed reliably and improving the stability of Borel-Padé-Laplace integrators.
Contribution
A novel variational formulation with artificial diffusion for stabilizing high-order FE time series solutions of PDEs, with a recurrence relation for diffusion coefficients.
Findings
Enables computation of additional stable series terms.
Improves the stability domain of BPL integrators.
Links stabilization to the Discrete Maximum Principle.
Abstract
Over the past decade, Finite Element Method (FEM) has served as a foundational numerical framework for approximating the terms of Time Series Expansion (TSE) as solutions to transient Partial Differential Equation (PDE). However, the application of high-order Finite Element (FE) to certain classes of PDEs, such as diffusion equations and the Navier-Stokes (NS) equations, often leads to numerical instabilities. These instabilities limit the number of valid terms in the series, though the efficiency of time series integration even when resummation techniques like the Borel-Pad\'e-Laplace (BPL) integrators are employed. In this study, we introduce a novel variational formulation for computing the terms of a TSE associated with a given PDE using higher-order FEs. Our approach involves the incorporation of artificial diffusion terms on the left-hand side of the equations corresponding to…
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