A Hybrid Pade-Galerkin Technique for Differential Equations.

Abstract

A three-step hybrid analysis technique, which successively uses the regular perturbation expansion method, the Pade expansion method, and then a Galerkin approximation, is presented and applied to some model boundary value problems. In the first step of the method, the regular perturbation method is used to construct an approximation to the solution in the form of a finite power series in a small parameter epsilon associated with the problem. In the second step of the method, the series approximation obtained in step one is used to construct a Pade approximation in the form of a rational function in the parameter epsilon. In the third step, the various powers of epsilon which appear in the Pade approximation are replaced by new (unknown) parameters. These new parameters are determined by requiring that the residual formed by substituting the new approximation into the governing differential equation is orthogonal to each of the perturbation coordinate functions used in step one. The technique is applied to model problems involving ordinary or partial differential equations. In general, the technique appears to provide good approximations to the solution even when the perturbation and Pade approximations fail to do so. The method is discussed and topics for future investigations are indicated. Perturbation expansions, Pade approximates, Galerkin methods, Hybrid methods, Approximate solutions, Differential equations

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1993
Accession Number
ADA269127

Entities

People

  • Carl M. Andersen
  • James F. Geer

Tags

DTIC Thesaurus Topics

  • Boundary Value Problems
  • Differential Equations
  • Equations
  • Galerkin Method
  • Partial Differential Equations
  • Perturbations
  • Power Series
  • Rational Functions

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)