Thread View: sci.math.num-analysis
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Started by Ioannis Androulakis
Fri, 07 Aug 1992 19:28
linear stability
Author: Ioannis Androulakis
Date: Fri, 07 Aug 1992 19:28
Date: Fri, 07 Aug 1992 19:28
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Given a discrete nonlinear dynamical system that depends on a parameter (say h), is it possible that the linearized stability around that equilibrium point results in a value of the parameter that differs from the value that is identified by simulating the dynamics of the system on a computer ? (i.e. let's say that the linearized stability requires h <= h1, and by running a simulation of the system we result in h <= h2, with h1 < h2, the starting points of for the simulation are arbitrarily depending on the accuracy of the machine..., close to the equilibrium point.) I know that linear stability analysis precludes such a possibility. Thank you, ioannis
Re: linear stability
Author: Andrew Mullhaupt
Date: Mon, 10 Aug 1992 01:35
Date: Mon, 10 Aug 1992 01:35
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In article <androula.713215737@lips.ecn.purdue.edu> androula@lips.ecn.purdue.edu (Ioannis Androulakis) writes: >Given a discrete nonlinear dynamical system that depends >on a parameter (say h), is it possible that the linearized stability >around that equilibrium point results in a value of the >parameter that differs from the value that is identified >by simulating the dynamics of the system on a computer ? Yes. Suppose that in the nonlinear system, the unstable manifold of the fixed point is "re-injected" by the nonlinear dynamics into the stable manifold of the fixed point. Then the linear stability analysis will not be able to explain the apparent stability of the nonlinear simulations. Now as you continue to push your parameter, this re-injection may involve a large enough excursion for the simulation to notice. >I know that linear stability analysis precludes such a possibility. To justify such analysis you can appeal to Hartman-Grobman near hyperbolic fixed points, and beyond that it's pretty interesting. If your fixed point isn't hyperbolic, you need center manifold theory. Later, Andrew Mullhaupt
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