International Journal of Applied Science and Research
244
www.ijasr.org Copyright © 2021 IJASR All rights reserved
Two Step Continuous Trigonometrically Fitted Method for Solving Oscillatory second
Order Ordinary Differential Equations
S.J.Kayode
1
, E.A.Areo
2
, J.O.Adegboro
3
1 Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria.
1,2,3
IJASR 2021
VOLUME 4
ISSUE4 JULY–AUGUST ISSN: 2581-7876
Abstract: The Continuous Two Step Trigonometrically-Fitted Second Order Method (TSTSOM) is used in this study
to solve an oscillating problem of ordinary differential equations. The coefficients of the developed approaches are
determined by the approximate solution’s frequency and step size, a discrete trigonometrically -fitted second order
ordinary differential equation was recovered as a by-product. To demonstrate the method’s usefulness and efficiency,
the method’s stability and other properties qualities will be described and implemented to solve linear and nonlinear
initial value oscillatory problems.
Keywords: Linearmultistep, interpolationtechniques, Trigonometric-fitted, predictor-corrector.
1. Introduction
Mathematical modelling isacrucialtechnique for analyzing wide rangeofreal-world problems involving
differential equations, spanning from physics, meteorology, and engineering to chemistry, biology, and
social sciences. Differential equations are equations in which the dependent and independent variables
have differential coefficients. Ordinary and partial differential equations are the two types of differential
equations. Ordinary differential equations (odes) are differen-tiale equations in which the unknown
parameter is afunction of one independent variable, whereas partial differential equations are those
involving two or more independent variables (pdes).In Science and Engineering usually, mathematical
models are developed to help in the understanding of physical phenomena. These models often yield
equations that contains some derivative of an unknown function of one or several variables. In what
follow, we consider a numerical solution of general second-order IVP soft he form
′′
= (, ,
′
), (
0
)=
0
,
′
(
0
)=′
0
, ∈ [
0
,
] (1)
where f satisfies the Lipschitz theorem.
For the solution of a number of problems, numerical approaches based on the usage of polynomial
functions have been presented (1).Adeniran and Ogundare(2015) offered a block hybrid technique for the
direct integration of second order IVP whose solutions oscillate, and Ngwane and Jator (2013) proposed a
hybrid block method for the system of first order IVP including oscillatory problems. Sanugi and Evans
proposed the leap frog approach and the Runge-Kutta method, whereas Neta (1986) constructed families
of backward differentiation equations. All of these techniques were implemented in a step-by-step manner.
Despite their success, these methods have some drawbacks, including sensitivity to frequency changes, the
necessity that the Jacobean’s Eigen values be wholly magi -nary, and computing burden.
Psihoyios and Simos (2003 and 2005) proposed trigonometrically fitted schemes for the solution of
oscillatory problems that are applied in predictor-corrector mode based on the well-known Adams-Bash
forth method as predictor and Adams-Moulton as corrector, in the spirit of Kayode and Adegboro (2018)
proposed predictor-corrector for solving second order ordinary differential equations.The method sarevery
expensive to implement, require more human labor,andhavea lower level of accuracy. The purpose of this
study is to develop a Discrete Trigonometrically Fitted Second Method (DTSM).
This is accomplished by firstestablishinga TSCTM, which then gives adiscrete method that is used as a
DTSMand uses the solution’s frequency as a priori knowledge. TSCTM, in partic ular, is made up of a
collection of continuous functions, whereas DTSM is a by-product of TSCTM. Because the coefficients of
the Continuous Trigonometric Second method TSCTM are functions of frequency and step size, the