半线性时间分数扩散方程的高效计算技术

IF 1.4 2区 数学 Q1 MATHEMATICS Calcolo Pub Date : 2024-07-19 DOI:10.1007/s10092-024-00604-1
Aniruddha Seal, Srinivasan Natesan
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摘要

在本手稿中,我们旨在研究半线性时间分量扩散方程的半解析解和数值解,其中时间分量项包括参数为\(k \ge 1\) 的回火分量导数和 k-Caputo 分量导数的组合。这里展示了新积分变换,即回火 k-Caputo 分数导数的 Elzaki 变换的应用,随后使用 Elzaki 分解法得到了半解析解。用牛顿准线性化方法对模型问题进行线性化,然后用差分方案即 tempered \(_kL2\)-\(1_\sigma \)方法对准线性化问题进行离散化。在 \(L_2\)-norm 条件下,使用能量法讨论了所提方案的稳定性和收敛性分析。为了支持理论结果,还加入了数值实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An efficient computational technique for semilinear time-fractional diffusion equation

In this manuscript, we aim to study the semi-analytical and the numerical solution of a semilinear time-fractional diffusion equation where the time-fractional term includes the combination of tempered fractional derivative and k-Caputo fractional derivative with a parameter \(k \ge 1\). The application of the new integral transform, namely Elzaki transform of the tempered k-Caputo fractional derivative is shown here and thereafter the semi-analytical solution is obtained by using the Elzaki decomposition method. The model problem is linearized using Newton’s quasilinearization method, and then the quasilinearized problem is discretized by the difference scheme namely tempered \(_kL2\)-\(1_\sigma \) method. Stability and convergence analysis of the proposed scheme have been discussed in the \(L_2\)-norm using the energy method. In support of the theoretical results, numerical example has been incorporated.

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来源期刊
Calcolo
Calcolo 数学-数学
CiteScore
2.40
自引率
11.80%
发文量
36
审稿时长
>12 weeks
期刊介绍: Calcolo is a quarterly of the Italian National Research Council, under the direction of the Institute for Informatics and Telematics in Pisa. Calcolo publishes original contributions in English on Numerical Analysis and its Applications, and on the Theory of Computation. The main focus of the journal is on Numerical Linear Algebra, Approximation Theory and its Applications, Numerical Solution of Differential and Integral Equations, Computational Complexity, Algorithmics, Mathematical Aspects of Computer Science, Optimization Theory. Expository papers will also appear from time to time as an introduction to emerging topics in one of the above mentioned fields. There will be a "Report" section, with abstracts of PhD Theses, news and reports from conferences and book reviews. All submissions will be carefully refereed.
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