Numerical solutions of fractional differential equation with multiple delays via block boundary value method

被引:1
作者
Sharma, Abhishek [1 ]
Kumar, Surendra [1 ]
Singh, Harendra Pal [2 ]
机构
[1] Univ Delhi, Fac Math Sci, Dept Math, Delhi 110007, India
[2] Univ Delhi, Cluster Innovat Ctr, 3rd Floor Univ Stadium,GC Narang Rd, Delhi 110007, India
关键词
Fractional differential equations; Multiple delays; Block boundary value methods; Convergence analysis; Stability analysis; PARALLEL IMPLEMENTATION; ERROR ANALYSIS; STABILITY; CONVERGENCE; SYSTEMS; MODELS;
D O I
10.1007/s40435-023-01209-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The aim of this paper is to present a new numerical scheme, namely the fractional multi-delay block boundary value method (FMDBBVM), which is proposed to solve fractional differential equations (FDEs) with multiple delays. The FMDBBVM is proposed via a combination of the block boundary value method (BBVM) and the Lagrange interpolating polynomial. In the methodology of the FMDBBVM, the fractional derivative is approximated through a qth-order Lagrange interpolating polynomial with mth-order BBVM. The largest delay is dealt with a modification in the BBVM, and the remaining delays are approximated in the mesh concerning to the largest delay via the Lagrange interpolating polynomial of (w(1)+ w (2)+ 1)th order. The proposed scheme is theoretically showed to be globally stable and convergent with order min{m, q- alpha+ 1, w(1)+ w(2) + 1}. Further, a reduced scheme is obtained corresponding to the FMDBBVMfor the fractional delay differential equations (FDDEs) in whichmultiple delays can be accommodated in a singlemesh. This scheme is also convergent with order min{m, q - alpha+ 1}, and it is also globally stable. The numerical efficiency of both the proposed schemes is demonstrated with the help of some examples.
引用
收藏
页码:924 / 944
页数:21
相关论文
共 51 条
[1]   FIXED STEP DISCRETIZATION METHODS FOR DELAY DIFFERENTIAL-EQUATIONS [J].
ALLEN, K ;
MCKEE, S .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 1981, 7 (05) :413-423
[2]   Parallel implementation of block boundary value methods for ODEs [J].
Amodio, P ;
Brugnano, L .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 1997, 78 (02) :197-211
[3]  
[Anonymous], 1973, Introduction to the Theory and Application of Differential Equations with Deviating Arguments
[4]  
[Anonymous], 1963, Differential-difference equations
[5]   Numerical solution of fuzzy Fredholm integral equations by the Lagrange interpolation based on the extension principle [J].
Araghi, M. A. Fariborzi ;
Parandin, N. .
SOFT COMPUTING, 2011, 15 (12) :2449-2456
[6]   The numerical solution of fractional differential equations using the Volterra integral equation method based on thin plate splines [J].
Assari, Pouria ;
Cuomo, Salvatore .
ENGINEERING WITH COMPUTERS, 2019, 35 (04) :1391-1408
[7]   Numerical solution of a class of delay differential and delay partial differential equations via Haar wavelet [J].
Aziz, Imran ;
Amin, Rohul .
APPLIED MATHEMATICAL MODELLING, 2016, 40 (23-24) :10286-10299
[8]   Relative controllability of fractional dynamical systems with delays in control [J].
Balachandran, K. ;
Zhou, Yong ;
Kokila, J. .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2012, 17 (09) :3508-3520
[9]  
Baleanu D., 2017, FRACTIONAL CALCULUS, DOI DOI 10.1142/8180
[10]  
Bromwich TJ., 1965, An introduction to the theory of infinite series