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Time-fractional Cahn-Hilliard equation: Well-posedness, degeneracy, and numerical solutions

Analysis of PDEs · Submitted 7 Apr 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The work concludes with numerical simulations and a sensitivity analysis showing the influence of the fractional power.

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arXiv ID2104.03096 (version 1)
Pith IDDG3VUWBU, Pith's permanent record of this paper and its review
CitationBarbara Wohlmuth, Mabel L. Rajendran, Marvin Fritz. "Time-fractional Cahn-Hilliard equation: Well-posedness, degeneracy, and numerical solutions." arXiv:2104.03096 (2021). https://pith.science/paper/DG3VUWBU
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What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.33 · human participants 0.01 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.08 · mentions code or data availability 0.02.

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arXiv listing abstract v1. Results and the main claim are underlined; .

In this paper, we derive the time-fractional Cahn-Hilliard equation from continuum mixture theory with a modification of Fick's law of diffusion. This model describes the process of phase separation with nonlocal memory effects. We analyze the existence, uniqueness, and regularity of weak solutions of the time-fractional Cahn-Hilliard equation. In this regard, we consider degenerating mobility functions and free energies of Landau, Flory--Huggins and double-obstacle type. We apply the Faedo-Galerkin method to the system, derive energy estimates, and use compactness theorems to pass to the limit in the discrete form. In order to compensate for the missing chain rule of fractional derivatives, we prove a fractional chain inequality for semiconvex functions. The work concludes with numerical simulations and a sensitivity analysis showing the influence of the fractional power. Here, we consider a convolution quadrature scheme for the time-fractional component, and use a mixed finite element method for the space discretization.

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What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In this paper, we derive the time-fractional Cahn-Hilliard equation from continuum mixture theory with a modification of Fick's law of diffusion. contribution 0.85 0.96 0.05 asserted 1.00
s1 This model describes the process of phase separation with nonlocal memory effects. background 0.39 0.35 0.05 asserted 1.00
s2 We analyze the existence, uniqueness, and regularity of weak solutions of the time-fractional Cahn-Hilliard equation. contribution 0.98 0.95 0.18 asserted 0.95
s3 In this regard, we consider degenerating mobility functions and free energies of Landau, Flory--Huggins and double-obstacle type. contribution 0.83 0.80 0.03 asserted 0.96
s4 We apply the Faedo-Galerkin method to the system, derive energy estimates, and use compactness theorems to pass to the limit in the discrete form. method 0.99 0.96 0.06 asserted 1.00
s5 In order to compensate for the missing chain rule of fractional derivatives, we prove a fractional chain inequality for semiconvex functions. contribution 0.72 0.96 0.06 asserted 1.00
s6 The work concludes with numerical simulations and a sensitivity analysis showing the influence of the fractional power. contribution 0.65 0.95 0.35 asserted 1.00
s7 Here, we consider a convolution quadrature scheme for the time-fractional component, and use a mixed finite element method for the space discretization. method 1.00 0.92 0.04 asserted 0.99

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Original abstract

In this paper, we derive the time-fractional Cahn-Hilliard equation from continuum mixture theory with a modification of Fick's law of diffusion. This model describes the process of phase separation with nonlocal memory effects. We analyze the existence, uniqueness, and regularity of weak solutions of the time-fractional Cahn-Hilliard equation. In this regard, we consider degenerating mobility functions and free energies of Landau, Flory--Huggins and double-obstacle type. We apply the Faedo-Galerkin method to the system, derive energy estimates, and use compactness theorems to pass to the limit in the discrete form. In order to compensate for the missing chain rule of fractional derivatives, we prove a fractional chain inequality for semiconvex functions. The work concludes with numerical simulations and a sensitivity analysis showing the influence of the fractional power. Here, we consider a convolution quadrature scheme for the time-fractional component, and use a mixed finite element method for the space discretization.

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