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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 2020 MCQ for Mathematics of Computation is 1.78.

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Convergence analysis of a positivity-preserving numerical scheme for the Cahn-Hilliard-Stokes system with Flory-Huggins energy potential
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by Yunzhuo Guo, Cheng Wang, Steven M. Wise and Zhengru Zhang
Math. Comp.
DOI: https://doi.org/10.1090/mcom/3916
Published electronically: November 20, 2023

Abstract:

A finite difference numerical scheme is proposed and analyzed for the Cahn-Hilliard-Stokes system with Flory-Huggins energy functional. A convex splitting is applied to the chemical potential, which in turns leads to the implicit treatment for the singular logarithmic terms and the surface diffusion term, and an explicit update for the expansive concave term. The convective term for the phase variable, as well as the coupled term in the Stokes equation, is approximated in a semi-implicit manner. In the spatial discretization, the marker and cell difference method is applied, which evaluates the velocity components, the pressure and the phase variable at different cell locations. Such an approach ensures the divergence-free feature of the discrete velocity, and this property plays an important role in the analysis. The positivity-preserving property and the unique solvability of the proposed numerical scheme are theoretically justified, utilizing the singular nature of the logarithmic term as the phase variable approaches the singular limit values. An unconditional energy stability analysis is standard, as an outcome of the convex-concave decomposition technique. A convergence analysis with accompanying error estimate is provided for the proposed numerical scheme. In particular, a higher order consistency analysis, accomplished by supplementary functions, is performed to ensure the separation properties of numerical solution. In turn, using the approach of rough and refined error estimates, we are able to derive an optimal rate convergence. To conclude, several numerical experiments are presented to validate the theoretical analysis.
References
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Bibliographic Information
  • Yunzhuo Guo
  • Affiliation: School of Mathematical Sciences, Beijing Normal University, Beijing 100875, People’s Republic of China
  • ORCID: 0009-0003-0502-6832
  • Email: yunzguo@mail.bnu.edu.cn
  • Cheng Wang
  • Affiliation: Department of Mathematics, The University of Massachusetts, North Dartmouth, Massachusetts 02747
  • MR Author ID: 652762
  • Email: cwang1@umassd.edu
  • Steven M. Wise
  • Affiliation: Department of Mathematics, The University of Tennessee, Knoxville, Tennessee 37996
  • MR Author ID: 615795
  • ORCID: 0000-0003-3824-2075
  • Email: swise1@utk.edu
  • Zhengru Zhang
  • Affiliation: Laboratory of Mathematics and Complex Systems, Beijing Normal University, Beijing 100875, People’s Republic of China
  • ORCID: 0000-0001-6753-0653
  • Email: zrzhang@bnu.edu.cn
  • Received by editor(s): March 20, 2023
  • Received by editor(s) in revised form: August 15, 2023, and September 17, 2023
  • Published electronically: November 20, 2023
  • Additional Notes: The second author was partially supported by the NSF DMS-2012269, DMS-2309548. The third author was partially supported by the NSF DMS-2012634, DMS-2309547. The fourth author was partially supported by the NSFC No. 11871105 and Science Challenge Project No. TZ2018002.
    The second author is the corresponding author.
  • © Copyright 2023 American Mathematical Society
  • Journal: Math. Comp.
  • MSC (2020): Primary 35K35, 35K55, 49J40, 65M06, 65M12
  • DOI: https://doi.org/10.1090/mcom/3916