On the approximation to fractional calculus operators with multivariate Mittag-Leffler function in the kernel

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-01-15 Epub Date: 2024-07-22 DOI:10.1016/j.cam.2024.116148
Mehmet Ali Özarslan
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Abstract

Several numerical techniques have been developed to approximate Riemann–Liouville (R - L) and Caputo fractional calculus operators. Recently linear positive operators have been started to use to approximate fractional calculus operators such as R - L, Caputo, Prabhakar and operators containing bivariate Mittag-Leffler functions. In the present paper, we first define and investigate the fractional calculus properties of Caputo derivative operator containing the multivariate Mittag-Leffler function in the kernel. Then we introduce approximating operators by using the modified Kantorovich operators for the approximation to fractional integral and Caputo derivative operators with multivariate Mittag-Leffler function in the kernel. We study the convergence properties of the operators and compute the degree of approximation by means of modulus of continuity and Hölder continuous functions. The obtained results corresponds to a large family of fractional calculus operators including R- L, Caputo and Prabhakar models.

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关于内核为多元米塔格-勒夫勒函数的分数微积分算子近似值
目前已开发出几种数值技术来近似黎曼-黎乌韦尔(R - L)和卡普托分数微积分算子。最近,人们开始使用线性正算子来逼近 R - L、Caputo、Prabhakar 和包含双变量 Mittag-Leffler 函数的算子等分数微积分算子。在本文中,我们首先定义并研究了内核中包含多元 Mittag-Leffler 函数的 Caputo 导数算子的分数微积分性质。然后,我们利用修正的 Kantorovich 算子引入近似算子,用于近似内核包含多元 Mittag-Leffler 函数的分数积分算子和卡普托导数算子。我们研究了这些算子的收敛特性,并通过连续性模数和赫尔德连续函数计算了近似程度。所获得的结果与包括 R-L、Caputo 和 Prabhakar 模型在内的一大系列分数微积分算子相对应。
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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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