2017
DOI: 10.1007/s10915-017-0581-x
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Stability and Convergence Analysis of Finite Difference Schemes for Time-Dependent Space-Fractional Diffusion Equations with Variable Diffusion Coefficients

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Cited by 24 publications
(21 citation statements)
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“…Under the three conditions, we show the unconditional stability of the proposed CN-ADI method in discrete 2 norm and the consistency of cross perturbation terms arising from the CN-ADI method. We remark that our proof is different from that of CN-non-ADI schemes [18]. For example, we cannot use the norm of the local propagation matrix [18] to analyze the stability of the CN-ADI scheme.…”
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confidence: 87%
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“…Under the three conditions, we show the unconditional stability of the proposed CN-ADI method in discrete 2 norm and the consistency of cross perturbation terms arising from the CN-ADI method. We remark that our proof is different from that of CN-non-ADI schemes [18]. For example, we cannot use the norm of the local propagation matrix [18] to analyze the stability of the CN-ADI scheme.…”
mentioning
confidence: 87%
“…We remark that our proof is different from that of CN-non-ADI schemes [18]. For example, we cannot use the norm of the local propagation matrix [18] to analyze the stability of the CN-ADI scheme. Moreover, the consistency of the cross terms in existing ADI schemes is rarely strictly discussed even if coefficients are separable functions (see, for instance, [4,5,15,19,33,34,37]).…”
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confidence: 87%
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“…In [16], the stability and convergence of the second-order numerical scheme for variable coefficient equations are established for α ∈ (α 0 , 2), where α 0 ≈ 1.5546 is a solution of the equation 3 3−γ − 4 × 2 3−γ + 6 = 0. In [10], a series of numerical schemes for Riesz space fractional diffusion equation have been proven to be convergent and stable. Nevertheless, the proof technique used in [10] heavily depends on the symmetry of discretization matrix of Riesz fractional derivative, which is not applicable to the OSFDE that involves the non-symmetric one-sided fractional derivatives weighted by variable coefficients.…”
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confidence: 99%