• Tidak ada hasil yang ditemukan

Employing the Spectral Methods for Solving Ordinary and Partial Differential Equations by the Mapped Basic Functions

N/A
N/A
Protected

Academic year: 2024

Membagikan "Employing the Spectral Methods for Solving Ordinary and Partial Differential Equations by the Mapped Basic Functions"

Copied!
2
0
0

Teks penuh

(1)

T.M.U

Employing the Spectral Methods for Solving Ordinary and Partial Differential Equations by

the Mapped Basic Functions

A Thesis Presented for the Degree of Master of Science in Applied Mathematics

Faculty of Mathematical Sciences Tarbiat Modares University

By:

Zahra Moallemi

Supervisor:

Dr. Mohammadreza Eslahchi

September 2014

(2)

Abstract

Ordinary and partial differential equations have an important role in modelling dif- ferent phenomena. But obtaining exact solution is not possible in most of the cases.

Consequently, it is necessary to use efficient numerical methods to get a suitable approx- imate solution. Among all of numerical methods we can refer to finite difference, finite element and finite volume methods.

In the past four decades, spectral methods have been developed rapidly and paid attention because of their high accuracy. Several spectral methods are employed to prob- lems on finite intervals. On the other hand, many problems arising in fluid dynamics, astrophysics, financial mathematics and other fields are set in unbounded domains. Many spectral methods have been developed for solving such problems.

This thesis is organized as follows: In the first chapter we present some definitions and preliminaries about spectral methods. In the second chapter, which is extracted from [54]

as the main reference, some results on the Jacobi rational approximation are established that play important roles in analyzing the Jacobi rational spectral methods. Also in this chapter, from [54], Galerkin method based on Jacobi rational functions is presented for the following model problem which includes important equations in financial mathematics:



tV(x, t) +x(a(x, t)xV(x, t)) +b(x, t)xV(x, t)−c(x, t)V(x, t) =F(x, t), x∈Λ = (0,+), t∈[0, T),

V(x, T) =V0(x), x∈Λ.

The convergence of the proposed method is proved and numerical results are discussed. In the last chapter, we employ collocation method in order to solve semi-linear heat equation with Neumann boundary conditions and discuss about the convergence and stability of the method. Some numerical examples are solved in order to illustrate the performance of the presented method.

Keywords: spectral method, Galerkin method, collocation, Jacobi rational function.

Referensi

Dokumen terkait

The similarity finite difference solutions for two-dimensional parabolic partial differential equations via SOR iteration ABSTRACT This paper purposely attempts to solve

Heuristic computational design of morlet wavelet neural network for solving the higher order singular nonlinear differential equations ABSTRACT The aim of this study is to present

Separation of Variables Method in Solving Partial Differential Equations and Investigating the Relationship between Gravitational Field Tensor and Energy-Momentum Tensor in Einstein's

In this article, a general framework for solving system of ordinary differential equations by implementing a relatively new numerical technique called the Legendre operational matrix of

On the other hand for solving Volterra type integral equations operational matrix of integration together with Chebyshev wavelets is introduced and used it to reduce the problem to a