Explicit analytical solutions of an incommensurate system of fractional differential equations in a fuzzy environment

被引:13
作者
Akram, Muhammad [1 ]
Muhammad, Ghulam [2 ]
Allahviranloo, Tofigh [3 ]
机构
[1] Univ Punjab, Dept Math, New Campus, Lahore 4590, Pakistan
[2] Lahore Garrison Univ, Dept Math, Lahore 54000, Pakistan
[3] Istinye Univ, Fac Engn & Nat Sci, Istanbul, Turkiye
关键词
Fuzzy Caputo g H-fractional derivative; Two-dimensional incommensurate fuzzy linear; systems of Caputo fractional differential; equations; Mittag-Leffler function involving double series; Commensurate and incommensurate fractional; order;
D O I
10.1016/j.ins.2023.119372
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fuzzy fractional models have attracted considerable attention because of their comprehensive and broader understanding of real-world problems. Analytical studies of these models are often complex and difficult. Therefore, it is beneficial to develop a suitable and comprehensive technique to solve these models analytically. In this paper, an explicit analytical technique for solving two-dimensional incommensurate linear fuzzy systems of fractional Caputo differential equations (FLSoCFDEs) considering generalized Hukuhara differentiability (g H-differentiability) is presented and demonstrated. This extracted explicit solution is presented for different classes of such systems, including homogeneous and non-homogeneous cases with commensurate and incommensurate fractional orders. Moreover, the potential solution of FLSoCFDEs in terms of the Mittag-Leffler function involving double series is presented. The originality of the proposed technique is that the fuzzy Cauchy problem is transformed into a system of fuzzy linear Volterra integral equations of second kind and then the solution is extracted using the iterative Picard scheme based on the Banach fixed point theorem. Moreover, several interesting results are derived from FLSoCFDEs in terms of the Mittage-Leffler function for both homogeneous and inhomogeneous cases. To understand the proposed technique, we solve a diffusion process problem (a biological model) and several mass-spring systems as applications. Their graphs are analyzed to illustrate and support the theoretical results.
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页数:27
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