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Chaos Solitons & Fractals
Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Analysis of the Absorbing Boundary Conditions for Anomalous Diffusion in Comb Model with Cattaneo Model in an Unbounded Region

Authors: Liu, Lin; Chen, Siyu; Bao, Chunxu; Feng, Libo; Zheng, Liancun; Zhu, Jing; Zhang, Jiangshan;

Analysis of the Absorbing Boundary Conditions for Anomalous Diffusion in Comb Model with Cattaneo Model in an Unbounded Region

Abstract

A fractional governing equation is derived from the two-dimensional anomalous diffusion in the comb model with the Cattaneo model by using rigorous derivation. One strategy to deal with the unbounded region is to create acceptable truncation. We abandon the traditional method of approximating infinite boundaries by enormous value and use the artificial boundary method to construct absorbing boundary conditions using the Laplace transform. The absorbing boundary conditions with the Mittag-Leffler function are obtained, and the stability is demonstrated. We discretise the governing equation by using the finite difference method, and the accuracy of the numerical method is confirmed by comparing with the exact solution, which is generated by introducing a source term. The particle distributions and the mean square displacement under the absorbing boundary conditions are in good agreement with the exact expressions which are superior to the conventional direct truncation boundary conditions. Additionally, the particle distributions under different parameters are examined and explained graphically.

Country
Australia
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Keywords

Absorbing boundary conditions, Anomalous diffusion, Constitutive relation, Time fractional derivative, 510

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green