Complex-order fractional diffusion in reaction-diffusion systems

被引:10
|
作者
Bueno-Orovio, Alfonso [1 ]
Burrage, Kevin [1 ,2 ]
机构
[1] Univ Oxford, Dept Comp Sci, Oxford OX1 3QD, England
[2] Queensland Univ Technol, Sch Math Sci, Brisbane, Qld 4001, Australia
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2023年 / 119卷
基金
澳大利亚研究理事会;
关键词
Fractional calculus; Reaction-diffusion systems; Non-locality; Spatial heterogeneity; Spectral methods; ANOMALOUS DIFFUSION; PHASE-TRANSITION; TURING PATTERNS; CARDIAC TISSUE; MODEL; LOCALIZATION; EQUATIONS; FIBROSIS; DEPOSITION; MECHANISM;
D O I
10.1016/j.cnsns.2023.107120
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Fractional differential equations have become a fundamental modelling approach for un-derstanding and simulating the many aspects of non-locality and spatial heterogeneity of complex materials and systems. Yet, while real-order fractional operators are nowadays widely adopted, little progress has been made in extending such operators to complex -order counterparts. In this work, we introduce new definitions for the complex-order fractional Laplacian, fully consistent with the theory of averaging of smooth functions over fractal sets, and present tailored spectral methods for their numerical treatment. The proposed complex-order operators exhibit a dual particle-wave behaviour, with solutions manifesting wave-like features depending on the magnitude of the imaginary part of the fractional order. Reaction-diffusion systems driven by the complex-order fractional Laplacian exhibit unique spatio-temporal dynamics, such as equilibrium of diffusion in random materials by interference of scattered waves, conduction block and highly fractionated propagation, or the generation of completely novel Turing patterns. Taken together, our results support that the proposed complex-order operators hold unparalleled capabilities to advance the description of multiscale transport phenomena in physical and biological processes highly influenced by the heterogeneity of complex media.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:19
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