An analysis of the L1 scheme for the subdiffusion equation with nonsmooth data (Q2794702)
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scientific article; zbMATH DE number 6554289
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | An analysis of the L1 scheme for the subdiffusion equation with nonsmooth data |
scientific article; zbMATH DE number 6554289 |
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An analysis of the L1 scheme for the subdiffusion equation with nonsmooth data (English)
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11 March 2016
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fractional diffusion
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L1 scheme
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error estimates
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space-time fractional diffusion
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semidiscretization
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initial boundary problem
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numerical experiment
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convergence
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linear finite element
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error estimate
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The authors first consider an initial boundary problem in a bounded convex polygonal domain \(\Omega\in \mathbb R^d\), \(d=1,2,3\), where the time derivative is the left-sided Caputo fractional derivative of order \(\alpha\), \(0<\alpha<1\), and the space operator is the Laplacian along with homogeneouos Dirichlet boundary conditions. For the fractional derivative, the L1 scheme of \textit{Z.-Z. Sun} and \textit{X. Wu} [Appl. Numer. Math. 56, No. 2, 193--209 (2006; Zbl 1094.65083)] is used for which the local truncation error was shown to be \(O(\tau^{2-\alpha})\) in the case that the solution is twice continuously differentiable. The authors first show by a numerical experiment that this is not the order of convergence of the scheme, neither for non-smooth data nor for smooth ones. They then show by using linear finite elements in space and the resolvent of the semi-discretized problem that the \(L_2\)-error for \(L_2\) initial data is of order \(O(h^2t^{-\alpha})\). For the fully discretized problem on an equidistant time grid with step \(\tau\), applying the L1 scheme, they further show that the error for \(L_2\) initial data (compared to the semi-discretized case) is of the order \(O(\tau t^{-1})\) which improves to \(O(\tau t^{\alpha-1})\) for smooth data.NEWLINENEWLINE In short, for fixed time and \(h=O(\tau^{1/2})\), one has first-order convergence in both cases of smooth and non-smooth data. This is confirmed by a series of numerical experiments. Finally, an error estimate is obtained for an equation with the Laplacian replaced by a more general operator like the Riemann-Liouville fractional derivative of order \(\beta\in(\frac32,2)\). This estimate is also confirmed by numerical experiments.
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