Generalized Eigenvalues as Roots of Equation

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Theorem

Let $\mathbf A$ be a square matrix of order $n$.

Let $\lambda$ be a generalized eigenvalue of $\mathbf A$.


Then:

$\map \det {\mathbf A - \lambda \mathbf B} = 0$

where:

$\mathbf B$ is another square matrix of order $n$
$\det$ denotes the determinant.


Proof

By definition of generalized eigenvalue:

\(\ds \mathbf A \mathbf x\) \(=\) \(\ds \lambda \mathbf B \mathbf x\) for some non-zero vector $\mathbf x$
\(\ds \leadsto \ \ \) \(\ds \mathbf A \mathbf x - \lambda \mathbf B \mathbf x\) \(=\) \(\ds 0\)
\(\ds \leadsto \ \ \) \(\ds \paren {\mathbf A - \lambda \mathbf B} \mathbf x\) \(=\) \(\ds 0\)

We have that $\mathbf x$ is non-zero by hypothesis.

Hence from Matrix is Non-Invertible iff Product with Non-Zero Vector is Zero, the matrix $\mathbf A - \lambda \mathbf B$ is non-invertible.

Hence $\map \det {\mathbf A - \lambda \mathbf B} = 0$ by definition of non-invertible matrix.

$\blacksquare$


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