Published October 30, 2009 | Version v1
Journal article

Generalized decomposition methods for singular oscillators

Creators

  • 1. Room I-320-D, E. T. S. Ingenieros Industriales, Universidad de Malaga, Plaza El Ejido, s/n 29013 Malaga (Spain)

Description

Generalized decomposition methods based on a Volterra integral equation, the introduction of an ordering parameter and a power series expansion of the solution in terms of the ordering parameter are developed and used to determine the solution and the frequency of oscillation of a singular, nonlinear oscillator with an odd nonlinearity. It is shown that these techniques provide solutions which are free from secularities if the unknown frequency of oscillation is also expanded in power series of the ordering parameter, require that the nonlinearities be analytic functions of their arguments, and, at leading-order, provide the same frequency of oscillation as two-level iterative techniques, the homotopy perturbation method if the constants that appear in the governing equation are expanded in power series of the ordering parameter, and modified artificial parameter - Linstedt-Poincare procedures.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2009.03.006

Additional details

Identifiers

DOI
10.1016/j.chaos.2009.03.006;
PII
S0960-0779(09)00117-9;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
42
Journal Issue
2
Journal Page Range
p. 1149-1155
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41020523
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ANALYTIC FUNCTIONS; ITERATIVE METHODS; MATHEMATICAL SOLUTIONS; NONLINEAR PROBLEMS; OSCILLATIONS; OSCILLATORS; PERTURBATION THEORY; POWER SERIES; VOLTERRA INTEGRAL EQUATIONS
Descriptors DEC
CALCULATION METHODS; ELECTRONIC EQUIPMENT; EQUATIONS; EQUIPMENT; FUNCTIONS; INTEGRAL EQUATIONS; SERIES EXPANSION

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.