The maximum power of that appears in any component of

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: of t. For details of the proof see Meiss. A linear system is asymptotically linearly stable if all of its solutions approach 0 as Theorem 2.10 (Asymptotic Linear Stability). eigenvalues of have negative real parts. for all . if and only if all Proof. If all eigenvalues have negative real part, lemma 2.9 implies If an eigenvalue has positive real part, then there is a straight line solution, where is an eigenvector of , that grows without bound. If there is an eigenvalue with zero real part, the solutions in this subspace have terms of the form that do not go to zero.□ 12 Chapter 2 part B A system with no center subspace is hyperbolic. Lemma 2.9 and Theorem 2.10 describe properties of these systems that depend only on the signs of their eigenvalues. In contrast, the stability of systems with a center subspace can be affected by the nilpotent part of The proof of theorem 2.10 suggests why these systems cannot be asymptotically stable. Solutions of the 2D center described in section 2.2 are bounded. However, center systems with nonzero nilpotent parts have solutions that a...
View Full Document

This document was uploaded on 02/24/2014 for the course MATH 512 at Washington State University .

Ask a homework question - tutors are online