This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: P (or by a Leslie matrix L ) with ±x i = P±x i1 , so ±x i = P i ±x (or the same equations with P replaced by L ). In each case we get a steady state given by an eigenvector of the matrix. For the cases that occur in the applications the matrix P can be diagonalized; resp. we only need the positive eigenvalue, and we determine the steady state (resp. rate). Finally, we observe that the material of 4.4 follows directly from our work on eigenvalues, eigenvectors and eigenspaces....
View
Full
Document
This note was uploaded on 02/29/2008 for the course MATH 43 taught by Professor Dodson during the Spring '08 term at Lehigh University .
 Spring '08
 Dodson
 Math

Click to edit the document details