A novel analytic method for solving linear and nonlinear Telegraph Equation

TL;DR

This paper introduces a new analytical approximate method based on Taylor's series for solving the hyperbolic Telegraph equation, demonstrating improved accuracy and convergence over existing methods through three example cases.

Contribution

A novel Taylor series-based analytical method for solving the Telegraph equation, enhancing accuracy and convergence compared to traditional approaches.

Findings

The proposed method is easy to implement.

It provides more accurate solutions than ADM and HAM.

It shows better convergence properties.

Abstract

The modeling of many phenomena in various fields such as mathematics, physics, chemistry, engineering, biology, and astronomy is done by the nonlinear partial differential equations (PDE). The hyperbolic telegraph equation is one of them, where it describes the vibrations of structures (e.g., buildings, beams, and machines) and are the basis for fundamental equations of atomic physics. There are several analytical and numerical methods are used to solve the telegraph equation. An analytical solution considers framing the problem in a well-understood form and calculating the exact resolution. It also helps to understand the answers to the problem in terms of accuracy and convergence. These analytic methods have limitations with accuracy and convergence. Therefore, a novel analytic approximate method is proposed to deal with constraints in this paper. This method uses the Taylors' series in its derivation. The proposed method has used for solving the second-order, hyperbolic equation (Telegraph equation) with the initial condition. Three examples have presented to check the effectiveness, accuracy, and convergence of the method. The solutions of the proposed method also compared with those obtained by the Adomian decomposition method (ADM), and the Homotopy analysis method (HAM). The technique is easy to implement and produces accurate results. In particular, these results display that the proposed method is efficient and better than the other methods in terms of accuracy and convergence.