SIAM Journal on Scientific Computing· 2026Q1
Energy Dissipation Analysis of Implicit-Explicit Linear Multistep Methods for Gradient Flows Using a Simple Multiplier
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- 2026year
Short summary
A new theoretical framework proves energy dissipation for implicit-explicit linear multistep methods (IMEX-LMMs) in gradient flows by constructing a modified, non-negative energy.
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Key points
- A theoretical framework is established for analyzing energy dissipation in IMEX-LMMs for gradient flows.
- A dissipative modified energy, composed of original energy and a non-negative quadratic modification, is constructed.
- Energy dissipation is proven under a mild time-step restriction related to generating polynomials.
- A sixth-order energy-dissipative IMEX-LMM is constructed, with a proven sixth-order barrier for this type of method using a simple multiplier.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract. This paper proposes a theoretical framework for establishing the energy dissipation of general implicit-explicit linear multistep methods (IMEX-LMMs) for gradient flows, by constructing a dissipative modified energy consisting of the original energy and a nonnegative quadratic modification. We first test IMEX-LMMs with a simple multiplier, the first-order time difference of numerical solutions. Then, it is shown that the associated nonnegative quadratic modification can be constructed if and only if two generating polynomials (corresponding to the LMM) are positive on [Formula: see text]. Based on this, the modified energy is proved to decay over time under a mild time-step restriction depending on the lower bounds of the associated generating polynomials. As a consequence, the energy dissipation of the well-known backward differentiation formula methods up to fifth order can be obtained straightforwardly. Furthermore, we construct for the first time (to the best of our knowledge) a sixth-order energy-dissipative IMEX-LMM and also prove the sixth-order barrier of energy-dissipative IMEX-LMMs when testing the simple multiplier. Some numerical experiments are conducted to verify our theoretical results.
The authors' abstract, as published at the source. SIAM Journal on Scientific Computing, 2026 · DOI ↗
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Field: Numerical Analysis
Numerical AnalysisMathematics