How can I find the orthogonal matrix that diagonalises a given matrix?

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In summary: Okay, I think I have got it.The first line should look like ##- \frac{1}{2} \begin{pmatrix} \bar{\nu} & \bar{N} \end{pmatrix} \begin{pmatrix} 0 & m \\ m & M \end{pmatrix} \begin{pmatrix} \nu \\ N \end{pmatrix}##.The second line should look like ##- \frac{1}{2} \begin{pmatrix} \nu^{\dagger} & N^{\dagger} \end{pmatrix} \begin{pmatrix} m & 0 \\ 0 & M \end{pmatrix} \begin{
  • #1
spaghetti3451
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I want to find the orthogonal matrix ##\begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix}## which diagonalises the matrix ##\begin{pmatrix} 0 & m\\ m & M \end{pmatrix}##.

The eigenvalues are easily found to be ##\lambda = \frac{M}{2} \pm \frac{1}{2}\sqrt{M^{2}+4m^{2}}.##

However, I am having trouble finding the eigenvectors. I have the eigenvector equation ##\begin{pmatrix} 0 & m\\ m & M \end{pmatrix} \begin{pmatrix} a \\ b \end{pmatrix} = \lambda \begin{pmatrix} a \\ b \end{pmatrix},##

which gives me ##mb = \left( \frac{M}{2} \pm \frac{1}{2}\sqrt{M^{2}+4m^{2}} \right)a## and ##ma+Mb = \left( \frac{M}{2} \pm \frac{1}{2}\sqrt{M^{2}+4m^{2}} \right)b.##

Could you help me out here? The answer's supposed to be ##\cos \theta = \frac{1}{2} \arctan \frac{2m}{M}##.
 
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  • #2
You do not need to find the eigenvectors. There is only one off-diagonal element in ##\mathcal M_d = U\mathcal M U##. Equating it to zero will give you the mixing directly.
 
  • #3
How do you know that there is only one off-diagonal element?
 
  • #4
Your matrix is a symmetric 2x2 matrix ...
 
  • #5
Okay, so I have

##\mathcal{M}_{d} = \mathcal{U}\mathcal{M}\mathcal{U}##

## = \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} 0 & m\\ m & M \end{pmatrix} \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix}##

## = \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} m \sin\theta & m \cos\theta \\ m \cos \theta + M \sin \theta & -m \sin\theta + M \cos\theta \end{pmatrix} ##

## = \begin{pmatrix} -M\sin^{2}\theta & m - M \sin\theta\cos\theta \\ m + M \sin\theta\cos\theta & M\sin^{2}\theta \end{pmatrix} .##

This is where my problem lies.
 
  • #6
Sorry, it is ##U\mathcal M U^T##, not ##U\mathcal M U##. Writing on a phone has its drawbacks.
 
  • #7
Ah! Of course! But let me give you a bit of a background to this.

Consider the following scalar quantity: ##\begin{pmatrix} \chi_{2}^{\dagger} & \chi_{1}^{\dagger} \end{pmatrix} \begin{pmatrix} 0 & m \\ m & M \end{pmatrix} \begin{pmatrix} \chi_{1} \\ \chi_{2} \end{pmatrix}.##

My goal is to diagonalise the middle matrix by a change of basis to ##\begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix}## such that ##\begin{pmatrix} \chi_{1} \\ \chi_{2} \end{pmatrix} = \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix}##.

Now,

##\begin{pmatrix} \chi_{1} \\ \chi_{2} \end{pmatrix}^{\dagger} = \begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix}^{\dagger} \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix}^{\dagger}## so that ##\begin{pmatrix} \chi_{1}^{\dagger} & \chi_{2}^{\dagger} \end{pmatrix} = \begin{pmatrix} \psi_{1}^{\dagger} & \psi_{2}^{\dagger} \end{pmatrix}\begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix}##

Therefore,

##\begin{pmatrix} \chi_{2}^{\dagger} & \chi_{1}^{\dagger} \end{pmatrix} \begin{pmatrix} 0 & m \\ m & M \end{pmatrix} \begin{pmatrix} \chi_{1} \\ \chi_{2} \end{pmatrix} = \begin{pmatrix} \psi_{2}^{\dagger} & \psi_{1}^{\dagger} \end{pmatrix}\begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} 0 & m \\ m & M \end{pmatrix} \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix}##

Therefore, I end up finding ##\mathcal{U}\mathcal{M}\mathcal{U}##.

What should I do?
 
  • #8
spaghetti3451 said:
Ah! Of course! But let me give you a bit of a background to this.
I do not think I need the background story. I am a neutrino physicist after all.

Where did you get your initial equation? It is not how it is supposed to look. The Dirac mass terms should be the ones connecting different fields and in your case they are not.
 
  • #9
I guess this thread ought to be moved to the Standard Model forum.

This is in page 105 of Cliff Burgess's textbook on the Standard Model.

You can ignore the following parts in italics, if you'd like to. The crux of what I have written below is in my next post.


The idea is to suppose that a right-handed neutrino for each generation (invariant under ##SU_{c}(3) \times SU_{L}(2) \times U_{Y}(1)##) is added to the standard model.

Then the only new renormalizable terms that can appear in the Lagrangian are (also rewriting the kinetic term for the left-handed leptons):

##\mathcal{L} = - \frac{1}{2}\bar{L}_{m}\gamma^{\mu}D_{\mu}L_{m} - \frac{1}{2}\bar{N}_{m}\gamma^{\mu}\partial_{\mu}N_{m} - \frac{1}{2}M_{m}\bar{N}_{m}N_{m} - (k_{mn}\bar{L}_{m}P_{R}N_{n}\tilde{\phi} + \text{h.c.})##

where ##N_m## is the Majorana spinor whose right-handed piece is the right-handed neutrino and ##L_m## is the usual lepton doublet. ##M_m## is a real mass parameter and ##k_{mn}## are Yukawa coupling constants.

Subsituting ##\tilde{\phi} \rightarrow \frac{1}{\sqrt{2}}\begin{pmatrix} v \\ 0 \end{pmatrix}## into the Yukawa interaction, we can show that the neutrino mass terms are:

##- \frac{1}{2}M_{m}\bar{N}_{m}N_{m} - \frac{v}{\sqrt{2}}k_{mn}\left(\bar{\nu}_{m} P_{R}N_{n} + \bar{N}_{n}P_{L}\nu_{m}\right)##.

Rewriting ##\displaystyle{\frac{v}{\sqrt{2}}k_{mn}=m_{mn}}##, we get for the neutrino mass terms

##- \frac{1}{2}\left( M_{m}\bar{N}_{m}N_{m} + 2m_{mn}\bar{\nu}_{m} P_{R}N_{n} + 2m_{mn}\bar{N}_{n}P_{L}\nu_{m}\right)##

##- \frac{1}{2}\left( M_{m}\bar{N}_{m}N_{m} + m_{mn}\bar{\nu}_{m}N_{n} + m_{mn}\bar{N}_{n}\nu_{m}\right)##.

In the last line, I used the identities ##\bar{\nu}_{m}P_{R}N_{n} = \bar{N}_{n}P_{R}\nu_{m}## and ## \bar{N}_{n}P_{L}\nu_{m} = \bar{\nu}_{m}P_{L}N_{n}##.
This is how I arrived at the expression in my previous post.
 
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  • #10
Orodruin said:
I do not think I need the background story. I am a neutrino physicist after all.

Where did you get your initial equation? It is not how it is supposed to look. The Dirac mass terms should be the ones connecting different fields and in your case they are not.

The crux of the previous post is that I have something like

##- \frac{1}{2} \begin{pmatrix} \bar{\nu} & \bar{N} \end{pmatrix} \begin{pmatrix} 0 & m \\ m & M \end{pmatrix} \begin{pmatrix} \nu \\ N \end{pmatrix}##

##=- \frac{1}{2} \begin{pmatrix} \nu^{\dagger} & N^{\dagger} \end{pmatrix} \begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix} \begin{pmatrix} 0 & m \\ m & M \end{pmatrix} \begin{pmatrix} \nu \\ N \end{pmatrix}##

##=- \frac{1}{2} \begin{pmatrix} N^{\dagger} & \nu^{\dagger} \end{pmatrix} \begin{pmatrix} 0 & m \\ m & M \end{pmatrix} \begin{pmatrix} \nu \\ N \end{pmatrix}##

I am pretty sure my first line is correct, but my third line is wrong.

Where do you think is my mistake?
 
  • #11
Why did you switch the order of ##\nu## and ##N##? They are not the parts of a single Dirac spinor, they are separate fields. You need to be careful which indices different operators act on.
 
  • #12
Okay, so with ##\begin{pmatrix} \nu \\ N \end{pmatrix} = \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix}##,

I need to figure out why

##\begin{pmatrix} \bar{\nu} & \bar{N} \end{pmatrix} = \begin{pmatrix} \bar{\psi}_{1} & \bar{\psi}_{2} \end{pmatrix} \begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix}##.

I guess the reason is that the gamma matrices act on the internal spinor indices and not on the indices that define the column or row vector. Is this why we can treat ##\bar{\nu}## as ##\nu^{\dagger}## (and ##\bar{N}## as ##N^{\dagger}##) for the purpose of moving the rotation matrix past ##\begin{pmatrix} \bar{\nu} & \bar{N} \end{pmatrix}##?
 
  • #13
spaghetti3451 said:
Okay, so with ##\begin{pmatrix} \nu \\ N \end{pmatrix} = \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix}##,

I need to figure out why

##\begin{pmatrix} \bar{\nu} & \bar{N} \end{pmatrix} = \begin{pmatrix} \bar{\psi}_{1} & \bar{\psi}_{2} \end{pmatrix} \begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix}##.

I guess the reason is that the gamma matrices act on the internal spinor indices and not on the indices that define the column or row vector. Is this why we can treat ##\bar{\nu}## as ##\nu^{\dagger}## (and ##\bar{N}## as ##N^{\dagger}##) for the purpose of moving the rotation matrix past ##\begin{pmatrix} \bar{\nu} & \bar{N} \end{pmatrix}##?
Yes.
 
  • #14
Ah! I see!

Is the following then correct?

##\begin{pmatrix} \bar{\nu} & \bar{N} \end{pmatrix}##

##= \begin{pmatrix} \nu^{\dagger} & N^{\dagger} \end{pmatrix} \begin{pmatrix} \gamma^{0} & 0 \\ 0 & \gamma^{0} \end{pmatrix}##

##= \begin{pmatrix} \nu \\ N \end{pmatrix}^{\dagger} \begin{pmatrix} \gamma^{0} & 0 \\ 0 & \gamma^{0} \end{pmatrix}##

##= \left[ \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix} \right] ^{\dagger} \begin{pmatrix} \gamma^{0} & 0 \\ 0 & \gamma^{0} \end{pmatrix}##

##= \begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix}^{\dagger} \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix}^{\dagger} \begin{pmatrix} \gamma^{0} & 0 \\ 0 & \gamma^{0} \end{pmatrix}##

##= \begin{pmatrix} \psi_{1}^{\dagger} & \psi_{2}^{\dagger} \end{pmatrix} \begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} \gamma^{0} & 0 \\ 0 & \gamma^{0} \end{pmatrix}##

##= \begin{pmatrix} \psi_{1}^{\dagger} & \psi_{2}^{\dagger} \end{pmatrix} \begin{pmatrix} \gamma^{0} & 0 \\ 0 & \gamma^{0} \end{pmatrix} \begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix}##

##= \begin{pmatrix} \bar{\psi_{1}} & \bar{\psi_{2}} \end{pmatrix} \begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix}.##
 
  • #15
Yes, although there really is no need to write out the gammas. I would go directly to the final expression. The argument that the gammas act on different indicesis sufficient.
 
  • #16
Okay, so I have

##\mathcal{M}_{d} = \mathcal{U}^{T}\mathcal{M}\mathcal{U}##

## = \begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} 0 & m\\ m & M \end{pmatrix} \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix}##

## = \begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} m \sin\theta & m \cos\theta \\ m \cos \theta + M \sin \theta & -m \sin\theta + M \cos\theta \end{pmatrix} ##

## = \begin{pmatrix} 2m\sin\theta\cos\theta + M\sin^{2}\theta & m\cos^{2}\theta - m\sin^{2}\theta + M \sin\theta\cos\theta \\ m\cos^{2}\theta - m\sin^{2}\theta + M \sin\theta\cos\theta & -2m\sin\theta\cos\theta + M\cos^{2}\theta \end{pmatrix}.##

So,

##m\cos^{2}\theta - m\sin^{2}\theta + M \sin\theta\cos\theta = 0##

##2m\cos(2\theta) + M \sin(2\theta) = 0##

##\displaystyle{\tan(2\theta) = - \frac{2m}{M}}##

which contradicts with what I expect to have: ##\displaystyle{\tan{\cos2\theta}}=\frac{2m}{M}##.

Have I made a mistake somewhere?
 
  • #17
Yes, you should not be expecting that result.
 
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  • #18
Thank you!
 
  • #19
One final question.

If you have a term like ##\bar{N}\gamma^{\mu}\partial_{\mu}N##, how do you apply the same above unitary transformation with the same condition ##\tan2\theta = - \frac{2m}{M}## to get ##\bar{\psi}_{1}\gamma^{\mu}\partial_{\mu}\psi_{1}+\bar{\psi}_{2}\gamma^{\mu}\partial_{\mu}\psi_{2}##?

I have the following:

##- \frac{1}{2}\bar{N}\gamma^{\mu}{\partial_{\mu}}N##

##= - \frac{1}{2} \begin{pmatrix} \bar{\nu} & \bar{N} \end{pmatrix} \begin{pmatrix} 0 & 0 \\ 0 & \gamma^{\mu}{\partial_{\mu}} \end{pmatrix} \begin{pmatrix} \nu \\ N \end{pmatrix}##

##= - \frac{1}{2} \begin{pmatrix} \bar{\psi_{1}} & \bar{\psi_{2}} \end{pmatrix} \begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} 0 & 0 \\ 0 & \gamma^{\mu}{\partial_{\mu}} \end{pmatrix} \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \begin{pmatrix} \psi_{1} \\ \psi_{2} \end{pmatrix}##

But this gives me a cross term in ##\psi_{1}## and ##\psi_{2}## and I don't quite obtain canonical kinetic terms in ##\psi_{1}## and ##\psi_{2}##.
 
  • #20
You don't. You need to have the kinetic term for the light neutrino as well.
 
  • #21
Oh, you mean that I need to have another kinetic term of the form ##\bar{\nu}\gamma^{\mu}\partial_{\mu}\nu##?
 
  • #22
Yes, that one will transform too.
 
  • #23
Thanks!
 

FAQ: How can I find the orthogonal matrix that diagonalises a given matrix?

How do I know if a matrix is orthogonal?

A matrix is considered orthogonal if its transpose is equal to its inverse. In other words, if A is an orthogonal matrix, then A^T x A = I (identity matrix).

Can any matrix be diagonalized by an orthogonal matrix?

Yes, any n x n matrix can be diagonalized by an orthogonal matrix, as long as it is diagonalizable (has n linearly independent eigenvectors).

What is the process for finding the orthogonal matrix that diagonalizes a given matrix?

The process involves finding the eigenvalues and eigenvectors of the given matrix, constructing a diagonal matrix with the eigenvalues as its diagonal entries, and then constructing an orthogonal matrix using the eigenvectors as its columns.

Are there any specific properties of an orthogonal matrix that can help with finding it?

Yes, there are a few properties that can make finding an orthogonal matrix easier. First, the columns of an orthogonal matrix are always orthogonal to each other. Additionally, the determinant of an orthogonal matrix is either 1 or -1.

Can I use a calculator or computer program to find the orthogonal matrix?

Yes, there are many calculators and computer programs that have functions specifically for finding the orthogonal matrix that diagonalizes a given matrix. Some examples include MATLAB, Wolfram Alpha, and the TI-84 calculator. However, it is important to understand the underlying process and not solely rely on technology.

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