A new approach to find an approximate solution of linear initial value problems

07/24/2020
by   Udaya Pratap Singh, et al.
0

This work investigates a new approach to find closed form analytical approximate solution of linear initial value problems. Classical Bernoulli polynomials have been used to derive a finite set of orthonormal polynomials and a finite operational matrix to simplify derivatives of dependent variable. These orthonormal polynomials together with the operational matrix of relevant order provides a good approximation to the solution of a linear initial value problem. Depending upon the nature of a problem, a series form approximation or numerical approximation can be obtained. The technique has been demonstrated through three problems. Approximate solutions have been compared with available exact or other numerical solutions. High degree of accuracy has been noted in numerical values of solutions for considered problems.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/09/2020

A new operational matrix technique to solve linear boundary value problems

A new technique is presented to solve a class of linear boundary value p...
research
01/14/2019

ODE Test Problems: a MATLAB suite of initial value problems

ODE Test Problems (OTP) is an object-oriented MATLAB package offering a ...
research
12/02/2022

A Lambert's Problem Solution via the Koopman Operator with Orthogonal Polynomials

Lambert's problem has been long studied in the context of space operatio...
research
04/19/2019

Simulation-based Value-at-Risk for Nonlinear Portfolios

Value-at-risk (VaR) has been playing the role of a standard risk measure...
research
01/08/2017

Computing Approximate Greatest Common Right Divisors of Differential Polynomials

Differential (Ore) type polynomials with "approximate" polynomial coeffi...
research
09/18/2019

On the Closed Form Expression of Elementary Symmetric Polynomials and the Inverse of Vandermonde Matrix

Inverse Vandermonde matrix calculation is a long-standing problem to sol...

Please sign up or login with your details

Forgot password? Click here to reset