How to diagonalize a matrix with complex eigenvalues?

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Homework Help Overview

The discussion revolves around the diagonalization of a 2x2 matrix with complex eigenvalues. The original poster presents a matrix and seeks to express it in the form \( \mathbf{M'} = \mathbf{S} \mathbf{M} \mathbf{S^{-1}} \), while attempting to find and normalize its eigenvectors.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • The original poster calculates eigenvalues and eigenvectors, noting the eigenvalues as \( \lambda = 1 \pm \frac{\varphi}{N} \) and provides unnormalized eigenvectors. They express difficulty in normalizing these vectors and seek assistance.
  • Some participants clarify the normalization process and provide normalized vectors, while also prompting the original poster to apply the same method to the second vector.
  • There is a realization of a potential mistake in the computation of the matrix product, as one participant points out that the original poster computed \( S^{-1}MS \) instead of \( SMS^{-1} \).

Discussion Status

The discussion is active, with participants providing guidance on normalization and matrix multiplication. There is an acknowledgment of a mistake in the computation process, indicating a productive direction for the original poster to explore further.

Contextual Notes

Participants note confusion regarding the eigenvalues and eigenvectors, particularly concerning the nature of the eigenvalues being complex for a real matrix. This raises questions about the assumptions made in the problem setup.

Haorong Wu
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Homework Statement



Diagonalize the matrix $$ \mathbf {M} =
\begin{pmatrix}
1 & -\varphi /N\\
\varphi /N & 1\\
\end{pmatrix}
$$ to obtain the matrix $$ \mathbf{M^{'}= SMS^{-1} }$$

Homework Equations



First find the eigenvalues and eigenvectors of ##\mathbf{M}##, and then normalize the eigenvectors to get ##\mathbf{S^{-1}}##.

The Attempt at a Solution



After calculation, the eigenvalues are ## \lambda = 1 \pm \frac \varphi N##, and the corresponding eigenvectors (unnormalized) are ##\begin{pmatrix}
i \\ 1
\end{pmatrix}## and ##
\begin{pmatrix}
-i \\1
\end{pmatrix}
##.

Then I try to Schmidt them, but I failed to normalize them.

Could you help me normalize them?

Regards
 
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Normalize = divide by their norm to get a vector with length 1.

The norm of the vector ##(i,1)## is ##\sqrt{2}##, so we get the normalized vector ##(i/\sqrt{2}, 1/\sqrt{2})##. Can you do the same thing for the other vector now?
 
Math_QED said:
Normalize = divide by their norm to get a vector with length 1.

The norm of the vector ##(i,1)## is ##\sqrt{2}##, so we get the normalized vector ##(i/\sqrt{2}, 1/\sqrt{2})##. Can you do the same thing for the other vector now?

Thanks, Math_QED.

I concluded the normalized vectors are ##\frac {\left( i , 1\right) } {\sqrt 2}## and ##\frac {\left( -i , 1\right) } {\sqrt 2}##, as well. Then ##\mathbf {S^{-1}} = \frac 1 {\sqrt 2} \begin{pmatrix} i & -i \\ 1 & 1 \end{pmatrix}##.
However, ##\mathbf {SMS^{-1}} =\frac 1 {\sqrt 2} \begin{pmatrix} i & -i \\ 1 & 1 \end{pmatrix}
\begin{pmatrix}
1 & -\varphi /N\\
\varphi /N & 1\\
\end{pmatrix}
\frac 1 {\sqrt 2} \begin{pmatrix} -i & 1 \\ i & 1 \end{pmatrix}
= \begin{pmatrix} 1 & -i\varphi /N \\-\varphi /N & 1 \end{pmatrix}
## , which is not the diagonized matrix I should get.
There is definitely somewhere I am wrong, I can't find it out.
Could you please help me point it out?
Thanks!
 
Haorong Wu said:
Thanks, Math_QED.

I concluded the normalized vectors are ##\frac {\left( i , 1\right) } {\sqrt 2}## and ##\frac {\left( -i , 1\right) } {\sqrt 2}##, as well. Then ##\mathbf {S^{-1}} = \frac 1 {\sqrt 2} \begin{pmatrix} i & -i \\ 1 & 1 \end{pmatrix}##.
However, ##\mathbf {SMS^{-1}} =\frac 1 {\sqrt 2} \begin{pmatrix} i & -i \\ 1 & 1 \end{pmatrix}
\begin{pmatrix}
1 & -\varphi /N\\
\varphi /N & 1\\
\end{pmatrix}
\frac 1 {\sqrt 2} \begin{pmatrix} -i & 1 \\ i & 1 \end{pmatrix}
= \begin{pmatrix} 1 & -i\varphi /N \\-\varphi /N & 1 \end{pmatrix}
## , which is not the diagonized matrix I should get.
There is definitely somewhere I am wrong, I can't find it out.
Could you please help me point it out?
Thanks!

You computed ##S^{-1}MS## not ##SMS^{-1}##, which is the one you want.
 
Dick said:
You computed ##S^{-1}MS## not ##SMS^{-1}##, which is the one you want.
Oh, no! How embarrassing! I waste all the afternoon.

Thank you, Dick, and Math_QED.
 
Haorong Wu said:

Homework Statement



Diagonalize the matrix $$ \mathbf {M} =
\begin{pmatrix}
1 & -\varphi /N\\
\varphi /N & 1\\
\end{pmatrix}
$$ to obtain the matrix $$ \mathbf{M^{'}= SMS^{-1} }$$

Homework Equations



First find the eigenvalues and eigenvectors of ##\mathbf{M}##, and then normalize the eigenvectors to get ##\mathbf{S^{-1}}##.

The Attempt at a Solution



After calculation, the eigenvalues are ## \lambda = 1 \pm \frac \varphi N##, and the corresponding eigenvectors (unnormalized) are ##\begin{pmatrix}
i \\ 1
\end{pmatrix}## and ##
\begin{pmatrix}
-i \\1
\end{pmatrix}
##.

Then I try to Schmidt them, but I failed to normalize them.

Could you help me normalize them?

Regards

The eigenvalues of A are ##1 \pm i \varphi/N,## not what you wrote. Your typo confused me, as I wondered how a real matrix with real eigenvalues could need complex eigenvectors.
 

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