University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A Numerical Bifurcation Function for Homoclinic Orbits

Ashwin, Peter and Mei, Zhen (1998) A Numerical Bifurcation Function for Homoclinic Orbits SIAM Journal on Numerical Analysis, 35. pp. 2055-2069.


Download (331kB)


We present a numerical method to locate periodic orbits near homoclinic orbits. Using a method of [X.-B. Lin, Proc. Roy. Soc. Edinburgh, 116A (1990), pp. 295--325] and solutions of the adjoint variational equation, we get a bifurcation function for periodic orbits, whose periods are asymptotic to infinity on approaching a homoclinic orbit. As a bonus, a linear predictor for continuation of the homoclinic orbit is easily available.

Numerical approximation of the homoclinic orbit and the solution of the adjoint variational equation are discussed. We consider a class of methods for approximating the latter equation such that a scalar quantity is preserved. We also consider a context where the effects of continuous symmetries of equations can be incorporated.

Applying the method to an ordinary differential equation on R3 studied by [E. Freire, A. Rodriguez-Luis, and E. Ponce, Phys. D, 62 (1993), pp. 230--253] we show the bifurcation function gives good agreement with path-followed solutions even down to low period. As an example application to a parabolic partial differential equation (PDE), we examine the bifurcation function for a homoclinic orbit in the Kuramoto--Sivashinsky equation.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
Ashwin, Peter
Mei, Zhen
Date : 1 October 1998
Uncontrolled Keywords : homoclinic orbit, numerical bifurcation function, periodic solutions
Additional Information : Published in SIAM Journal on Numerical Analysis, 35, 2055-2069. © 1998 Society for Industrial and Applied Mathematics.
Depositing User : Mr Adam Field
Date Deposited : 27 May 2010 14:40
Last Modified : 31 Oct 2017 14:01

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800