分数阶导数的核族

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Octavian Postavaru , Simona Mihaela Bibic , Antonela Toma
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引用次数: 0

摘要

斐波那契因黄金比例的概念而闻名,该概念在模拟自然现象方面取得了巨大成功。此外,基于这个比率,斐波那契多项式出现了,在这项工作中,它被用来建立一个创新的分数核族。在证明核族是有定义的之后,我们定义了两个分数阶导数,一个是Caputo型,一个是Riemann-Liouville型。其次,我们证明了新定义的导数具有的某些界特征。我们还定义了新定义的导数的一个族成员的相关分数积分。利用拉普拉斯变换的方法,我们找到了RC电路的显式解,并使用了本文引入的分数阶导数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kernel families of fractional derivatives
Fibonacci is known in particular due to the notion of the golden ratio, which has found great success in modeling natural phenomena. Also, based on this ratio, the Fibonacci polynomials emerged, which are employed in this work to establish an innovative family of fractional kernels. After showing that the family of kernels is well defined, we define two fractional derivatives, one of Caputo type and one of Riemann–Liouville type. Next, we demonstrate certain bound characteristics that the newly defined derivatives have. We also define the associated fractional integral for one of the family members of the newly defined derivative. Using the method of Laplace transform, we found explicit solutions for RC electrical circuits, using the fractional derivative introduced in this work.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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