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关于另一个函数具有分数阶Caputo时间导数的次扩散方程在超扩散建模中的应用

Subdiffusion Equation with Fractional Caputo Time Derivative with Respect to Another Function in Modeling Superdiffusion.

作者信息

Kosztołowicz Tadeusz

机构信息

Institute of Physics, Jan Kochanowski University, Uniwersytecka 7, 25-406 Kielce, Poland.

Department of Radiological Informatics and Statistics, Medical University of Gdańsk, Tuwima 15, 80-210 Gdańsk, Poland.

出版信息

Entropy (Basel). 2025 Jan 9;27(1):48. doi: 10.3390/e27010048.

DOI:10.3390/e27010048
PMID:39851668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11764444/
Abstract

Superdiffusion is usually defined as a random walk process of a molecule, in which the time evolution of the mean-squared displacement, σ2, of the molecule is a power function of time, σ2(t)∼t2/γ, with γ∈(1,2). An equation with a Riesz-type fractional derivative of the order γ with respect to a spatial variable (a fractional superdiffusion equation) is often used to describe superdiffusion. However, this equation leads to the formula σ2(t)=κt2/γ with κ=∞, which, in practice, makes it impossible to define the parameter γ. Moreover, due to the nonlocal nature of this derivative, it is generally not possible to impose boundary conditions at a thin partially permeable membrane. We show a model of superdiffusion based on an equation in which there is a fractional Caputo time derivative with respect to another function, ; the spatial derivative is of the second order. By choosing the function in an appropriate way, we obtain the -superdiffusion equation, in which Green's function (GF) in the long time limit approaches GF for the fractional superdiffusion equation. GF for the -superdiffusion equation generates σ2 with finite κ. In addition, the boundary conditions at a thin membrane can be given in a similar way as for normal diffusion or subdiffusion. As an example, the filtration process generated by a partially permeable membrane in a superdiffusive medium is considered.

摘要

超扩散通常被定义为分子的随机游走过程,其中分子的均方位移σ²的时间演化是时间的幂函数,即σ²(t)∼t²/γ,γ∈(1,2)。一个关于空间变量具有γ阶Riesz型分数阶导数的方程(分数阶超扩散方程)常被用于描述超扩散。然而,这个方程会导致σ²(t)=κt²/γ且κ=∞的公式,在实际中这使得无法定义参数γ。此外,由于这种导数的非局部性质,通常不可能在薄的部分渗透膜上施加边界条件。我们展示了一个基于这样一个方程的超扩散模型,该方程中存在关于另一个函数的分数阶Caputo时间导数,空间导数为二阶。通过以适当方式选择该函数,我们得到了-superdiffusion方程,其中长时间极限下的格林函数(GF)趋近于分数阶超扩散方程的GF。-superdiffusion方程的GF生成有限κ的σ²。此外,薄膜上的边界条件可以以与正常扩散或次扩散类似的方式给出。例如,考虑了部分渗透膜在超扩散介质中产生的过滤过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/9abd03047fee/entropy-27-00048-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/dbf80ae64436/entropy-27-00048-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/7e03906a7b88/entropy-27-00048-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/e49cb6ed27ed/entropy-27-00048-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/677bfb19aa89/entropy-27-00048-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/39533bb1263e/entropy-27-00048-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/ac1b69341634/entropy-27-00048-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/9abd03047fee/entropy-27-00048-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/dbf80ae64436/entropy-27-00048-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/7e03906a7b88/entropy-27-00048-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/e49cb6ed27ed/entropy-27-00048-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/677bfb19aa89/entropy-27-00048-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/39533bb1263e/entropy-27-00048-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/ac1b69341634/entropy-27-00048-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6203/11764444/9abd03047fee/entropy-27-00048-g007.jpg

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本文引用的文献

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Phys Rev E. 2023 Jun;107(6-1):064103. doi: 10.1103/PhysRevE.107.064103.
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Composite subdiffusion equation that describes transient subdiffusion.描述瞬态次扩散的复合次扩散方程。
Phys Rev E. 2022 Oct;106(4-1):044119. doi: 10.1103/PhysRevE.106.044119.
3
Stochastic interpretation of g-subdiffusion process.
g-次扩散过程的随机解释
Phys Rev E. 2021 Oct;104(4):L042101. doi: 10.1103/PhysRevE.104.L042101.
4
Subdiffusion equation with Caputo fractional derivative with respect to another function.关于另一个函数具有卡普托分数阶导数的次扩散方程。
Phys Rev E. 2021 Jul;104(1-1):014118. doi: 10.1103/PhysRevE.104.014118.
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Phys Rev E. 2021 Mar;103(3-1):032133. doi: 10.1103/PhysRevE.103.032133.
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Model of anomalous diffusion-absorption process in a system consisting of two different media separated by a thin membrane.由薄隔膜分隔的两种不同介质组成的系统中的异常扩散-吸收过程模型。
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