Lie symmetry analysis of time fractional nonlinear partial differential equations in Hilfer sense

Reetha Thomas, T. Bakkyaraj
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Abstract

We derive the prolongation formula of the one-parameter Lie point transformations to the Hilfer fractional derivative and show that the existing prolongation formula for the Riemann Liouville and Caputo fractional derivatives are special cases of the proposed formula, corresponding to the type parameter \(\gamma =0\) and \(\gamma =1\), respectively. The applicability of the proposed formula is demonstrated by deriving the Lie point symmetries of the time-fractional heat equation, the fractional Burgers equation, and the fractional KdV equation in Hilfer’s sense. We use the obtained Lie point symmetries to find the similarity variables and transformations. Using the similarity transformations, we show that each is converted into a nonlinear fractional ordinary differential equation with a new independent variable. The fractional derivative in the reduced equation can be either the Hilfer-type modification of the Erdélyi Kober fractional derivative or the Hilfer fractional derivative itself. We demonstrate that the exact solution of the time-fractional differential equation in the Hilfer sense can be reduced to the exact solutions of the corresponding time-fractional differential equations in the Riemann–Liouville and Caputo senses by setting the type parameter to \(\gamma =0\) and \(\gamma =1\), respectively.

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希尔费意义上的时间分数非线性偏微分方程的列对称分析
我们推导了单参数Lie点变换到Hilfer分导数的延长公式,并证明现有的黎曼Liouville分导数和卡普托分导数的延长公式是所提公式的特例,分别对应于类型参数\(\gamma =0\)和\(\gamma =1\)。通过推导时间分数热方程、分数伯格斯方程和 Hilfer 意义上的分数 KdV 方程的列点对称性,证明了所提公式的适用性。我们利用所得到的列点对称性找到了相似变量和变换。利用相似性变换,我们证明了每个方程都可以转换成一个带有新自变量的非线性分数常微分方程。还原方程中的分数导数可以是 Erdélyi Kober 分数导数的 Hilfer 型修正,也可以是 Hilfer 分数导数本身。我们证明,通过将类型参数分别设置为\(\gamma =0\)和\(\gamma =1\),Hilfer意义上的时分式微分方程的精确解可以还原为Riemann-Liouville和Caputo意义上的相应时分式微分方程的精确解。
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352
期刊介绍: Computational & Applied Mathematics began to be published in 1981. This journal was conceived as the main scientific publication of SBMAC (Brazilian Society of Computational and Applied Mathematics). The objective of the journal is the publication of original research in Applied and Computational Mathematics, with interfaces in Physics, Engineering, Chemistry, Biology, Operations Research, Statistics, Social Sciences and Economy. The journal has the usual quality standards of scientific international journals and we aim high level of contributions in terms of originality, depth and relevance.
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