Compatible $L^2$ norm convergence of variable-step L1 scheme for the time-fractional MBE mobel with slope selection
Yin Yang, Jindi Wang, Yanping Chen, Hong-lin Liao

TL;DR
This paper establishes a novel $L^2$ norm error estimate for a variable-step L1 scheme applied to a time-fractional MBE model with slope selection, ensuring asymptotic compatibility and preservation of physical properties.
Contribution
It introduces the first asymptotically compatible $L^2$ error estimate for nonlinear subdiffusion problems with variable steps under a CSS-consistent condition.
Findings
The scheme maintains physical properties like volume conservation and energy dissipation.
Error estimates are compatible with classical schemes as fractional order approaches 1.
Numerical experiments confirm theoretical convergence and properties.
Abstract
The convergence of variable-step L1 scheme is studied for the time-fractional molecular beam epitaxy (MBE) model with slope selection.A novel asymptotically compatible norm error estimate of the variable-step L1 scheme is established under a convergence-solvability-stability (CSS)-consistent time-step constraint. The CSS-consistent condition means that the maximum step-size limit required for convergence is of the same order to that for solvability and stability (in certain norms) as the small interface parameter . To the best of our knowledge, it is the first time to establish such error estimate for nonlinear subdiffusion problems. The asymptotically compatible convergence means that the error estimate is compatible with that of backward Euler scheme for the classical MBE model as the fractional order . Just as the backward Euler…
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Taxonomy
TopicsDifferential Equations and Numerical Methods · Fractional Differential Equations Solutions · Numerical methods for differential equations
