Questions tagged [generalized-eigenvector]

This tag is for questions relating to Generalized-eigenvector, a vector which satisfies certain criteria which are more relaxed than those for an (ordinary) eigenvector.

Definition: If $A$ is an $n × n$ matrix, a generalized eigenvector of $A$ corresponding to the eigenvalue $λ$ is a nonzero vector $\mathbf X$ satisfying $$(A − λI)^p ~\mathbf X = \mathbf 0$$ for some positive integer $p$.

Equivalently, it is a nonzero element of the nullspace of $~(A − λI)^p~.$

  • A regular eigenvector is a generalized eigenvector of order $1$.
  • Every $n × n$ matrix $A$ has $n$ linearly independent generalized eigenvectors associated with it.

For more details see https://en.wikipedia.org/wiki/Generalized_eigenvector and http://mathworld.wolfram.com/GeneralizedEigenvector.html

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definition of generalized eigenspace

If $G_\lambda$ is the generalized eigenspace corresponding to the eigenvalue $\lambda$, and $E_\lambda$, the eigenspace, then why is both of the following true? $G_\lambda = \ker(T-\lambda I)^{\dim V}$ $G_\lambda = \ker(T-\lambda I)^m$ Where $m$…
David Kwak
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What gurantees the existence of generalized eigenvectors of rank m?

Let $A$ be a $n\times n$ matrix. If $\lambda$ is an eigenvalue of A with multiplicity $m>1$. Then there could be two cases: There are $m$ linearly independent eigenvectors of A corresponding to $\lambda$.In this case, the geometric multiplicity is…
MathGuy
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Phase diagram and criterion for linear nullclines

I have two equations $\frac{dq}{dt}$= $Rq + K - 1$ and $\frac{dK}{dt}$=$ Nq + N$. Here, N and R are just constants so I was ignoring them and just assigning a certain arbitrary value. Solving nullclines for this gives me $q = (1-K)/r$ and $q=-1$. So…
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Dual formulations of Generalized Eigenvectors

I've seen two definitions of generalized eigenvectors. One is $(A−λ⋅I)^kv=0$ and one where it is $Av = \lambda B v$. I get that they are the same thing but I'm curious. What is the point of both formulations and how does the first lead to the…
user1357015
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