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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2024 MCQ for Mathematics of Computation is 1.78.

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Average energy dissipation rates of explicit exponential Runge-Kutta methods for gradient flow problems
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by Hong-lin Liao and Xuping Wang;
Math. Comp.
DOI: https://doi.org/10.1090/mcom/4015
Published electronically: September 27, 2024

Abstract:

We propose a unified theoretical framework to examine the energy dissipation properties at all stages of explicit exponential Runge-Kutta (EERK) methods for gradient flow problems. The main part of the novel framework is to construct the differential form of EERK method by using the difference coefficients of method and the so-called discrete orthogonal convolution kernels. As the main result, we prove that an EERK method can preserve the original energy dissipation law unconditionally if the associated differentiation matrix is positive semi-definite. A simple indicator, namely average dissipation rate, is also introduced for these multi-stage methods to evaluate the overall energy dissipation rate of an EERK method such that one can choose proper parameters in some parameterized EERK methods or compare different kinds of EERK methods. Some existing EERK methods in the literature are evaluated from the perspective of preserving the original energy dissipation law and the energy dissipation rate. Some numerical examples are also included to support our theory.
References
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Bibliographic Information
  • Hong-lin Liao
  • Affiliation: School of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, People’s Republic of China; \normalfont and Key Laboratory of Mathematical Modeling and High Performance Computing of Air Vehicles (NUAA), MIIT, Nanjing 211106, People’s Republic of China
  • ORCID: 0000-0003-0777-6832
  • Email: liaohl@nuaa.edu.cn, liaohl@csrc.ac.cn
  • Xuping Wang
  • Affiliation: School of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, People’s Republic of China
  • MR Author ID: 1348698
  • ORCID: 0009-0006-1629-9766
  • Email: wangxp@nuaa.edu.cn
  • Received by editor(s): March 13, 2024
  • Received by editor(s) in revised form: June 29, 2024
  • Published electronically: September 27, 2024
  • Additional Notes: The first author was supported by NSF of China under grant numbers 12471383 and 12071216
  • © Copyright 2024 American Mathematical Society
  • Journal: Math. Comp.
  • MSC (2020): Primary 35K58, 65L20, 65M06, 65M12
  • DOI: https://doi.org/10.1090/mcom/4015