Similar Matrices: Are Eigenvalues the Same?

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SUMMARY

In the discussion regarding similar matrices, it is established that while similar matrices share the same eigenvalues, the converse is not necessarily true. The matrices \(A=\begin{pmatrix}1 & 0\\0 & 1\end{pmatrix}\) and \(B=\begin{pmatrix}0 & 1\\1 & 0\end{pmatrix}\) both have the eigenvalue 1 but are not similar. Additionally, the matrix \(C=\begin{pmatrix}1 & 1 \\0 & 1\end{pmatrix}\) shares the same repeated eigenvalue 1 with \(A\) but is also not similar to it. This highlights the importance of understanding the distinction between eigenvalues and similarity in linear algebra.

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Sudharaka
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saravananbs's question from Math Help Forum,

if A and B are similar matrices then the eigenvalues are same. is the converse is true? why?
thank u

Hi saravananbs,

No. The converse is not true in general. Take the two matrices, \(A=\begin{pmatrix}1 & 0\\0 & 1\end{pmatrix}\mbox{ and }B=\begin{pmatrix}0 & 1\\1 & 0\end{pmatrix}\).

\[\begin{pmatrix}1 & 0\\0 & 1\end{pmatrix}\begin{pmatrix}1 \\ 1\end{pmatrix}=1.\begin{pmatrix}1 \\ 1\end{pmatrix}\]

\[\begin{pmatrix}0 & 1\\1 & 0\end{pmatrix}\begin{pmatrix}1 \\ 1\end{pmatrix}=1.\begin{pmatrix}1 \\ 1\end{pmatrix}\]

Therefore both matrices have the same eigenvalue 1. However it can be easily shown that \(A\mbox{ and }B\) are not similar matrices.
 
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Sudharaka said:
saravananbs's question from Math Help Forum,
Hi saravananbs,

No. The converse is not true in general. Take the two matrices, \(A=\begin{pmatrix}1 & 0\\0 & 1\end{pmatrix}\mbox{ and }B=\begin{pmatrix}0 & 1\\1 & 0\end{pmatrix}\).

\[\begin{pmatrix}1 & 0\\0 & 1\end{pmatrix}\begin{pmatrix}1 \\ 1\end{pmatrix}=1.\begin{pmatrix}1 \\ 1\end{pmatrix}\]

\[\begin{pmatrix}0 & 1\\1 & 0\end{pmatrix}\begin{pmatrix}1 \\ 1\end{pmatrix}=1.\begin{pmatrix}1 \\ 1\end{pmatrix}\]

Therefore both matrices have the same eigenvalue 1. However it can be easily shown that \(A\mbox{ and }B\) are not similar matrices.
That example does not really work, because $A$ and $B$ do not have the same eigenvalues: $A$ has a (repeated) eigenvalue 1, whereas the eigenvalues of $B$ are 1 and –1.

However, if $C = \begin{pmatrix}1 & 1 \\0 & 1\end{pmatrix}$, then $A$ and $C$ have the same eigenvalues (namely 1, repeated), but are not similar.
 
Opalg said:
That example does not really work, because $A$ and $B$ do not have the same eigenvalues: $A$ has a (repeated) eigenvalue 1, whereas the eigenvalues of $B$ are 1 and –1.

However, if $C = \begin{pmatrix}1 & 1 \\0 & 1\end{pmatrix}$, then $A$ and $C$ have the same eigenvalues (namely 1, repeated), but are not similar.

Thanks for correcting that. Of course I now see that only the eigenvalue 1 is common to both \(A\) and \(B\).
 

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