Beta
381181

On computation of real eigenvalues of matrices via the Adomian decomposition

Article

Last updated: 05 Jan 2025

Subjects

-

Tags

-

Abstract

The problem of matrix eigenvalues is encountered in various fields of engineering
endeavor. In this paper, a new approach based on the Adomian decomposition method and the
Faddeev-Leverrier's algorithm is presented for finding real eigenvalues of any desired real matrices.
The method features accuracy and simplicity. In contrast to many previous techniques which merely
afford one specific eigenvalue of a matrix, the method has the potential to provide all real
eigenvalues. Also, the method does not require any initial guesses in its starting point unlike most
of iterative techniques. For the sake of illustration, several numerical examples are included.

DOI

10.1016/j.joems.2013.06.004

Keywords

Eigenvalue, Adomian decomposition, Matrix computation, Characteristic polynomial, Adomian polynomials

Authors

First Name

Hooman

Last Name

Fatoorehchi

MiddleName

-

Affiliation

Center for Separation Processes Modeling and Nano-Computations, School of Chemical Engineering, College of Engineering, University of Tehran, 11365-4563 Tehran, Iran

Email

-

City

-

Orcid

-

First Name

Hossein Abolghasemi

Last Name

Abolghasemi

MiddleName

-

Affiliation

Oil and Gas Center of Excellence, University of Tehran, Tehran, Iran

Email

-

City

-

Orcid

-

Volume

22

Article Issue

1

Related Issue

50468

Issue Date

2014-04-01

Receive Date

2013-03-23

Publish Date

2024-09-01

Page Start

6

Page End

10

Print ISSN

1110-256X

Online ISSN

2090-9128

Link

https://joems.journals.ekb.eg/article_381181.html

Detail API

https://joems.journals.ekb.eg/service?article_code=381181

Order

381,181

Type

Original Article

Type Code

3,248

Publication Type

Journal

Publication Title

Journal of the Egyptian Mathematical Society

Publication Link

https://joems.journals.ekb.eg/

MainTitle

On computation of real eigenvalues of matrices via the Adomian decomposition

Details

Type

Article

Created At

21 Dec 2024