Numerical Methods for Stiff Nonlinear and Quadratic Differential Equations.

Abstract

Generalizations of multistep and one-leg methods were defined for implicit differential systems with algebraic constraints. Such systems occur frequently in circuit analysis. An error analysis was carried out for three particular methods of this type, associated with an A() - contractive second-order Adams formula resulting from earlier research under this contract. Successful numerical tests of these methods were carried out. A complete set of affine invariants was derived for all two-by-two systems of first-order quadratic differential equations. These invariants provide a criterion for deciding to which affine equivalence class any given system belongs. It was shown that each contains a system which is equivalent to a single second-order equation in one unknown. Efficient numerical methods were developed for finding running solutions of the Josephson interferometer equations. Starting from perturbation solutions for small nonlinearities, the problem was formulated as a periodic boundary value problem and solved by finite differences and by continuation with respect to a parameter governing the 'degree of nonlinearity' of the problem. The existence of discontinuum of running solutions of the above mentioned equations was proved for arbitrarily strong nonlinearities with dissipation. For vanishing dissipation, the existence of a continuum of solutions was proved. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1979
Accession Number
ADA079303

Entities

People

  • Werner Liniger

Organizations

  • IBM Thomas J. Watson Research Center

Tags

DTIC Thesaurus Topics

  • Boundaries
  • Boundary Value Problems
  • Circuit Analysis
  • Circuits
  • Contracts
  • Differential Equations
  • Dissipation
  • Equations
  • Error Analysis
  • Errors
  • Interferometers
  • Mathematical Analysis
  • Mathematics
  • Perturbations

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Graph Algorithms and Convex Optimization.
  • Linear Algebra