Calculating the Determinant of a 2x2 Matrix with Pauli Matrices

smallgirl
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1. Consider the 2x2 matrix \sigma^{\mu}=(1,\sigma_{i}) where \sigma^{\mu}=(1,\sigma)<br /> where 1 is the identity matrix and \sigma_{i} the pauli matrices. Show with a direct calcuation that detX=x^{\mu}x_{\mu}







3. I'm not sure how to attempt this at all...
 
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I think you're missing a part out, where we define how the big X is related to the little x's
As a hint, how would you normally go about finding the determinant of a 2x2 matrix?
 
Well usually ab - cd assuming a, b are elements in the first row..

However not sure what to do next...
 
Write down X explicitly and then calculate its determinant by just doing the algebraic manipulations. It's nothing deep in this calculation, but its result is very important for the description of spin-1/2-particles in relativistic quantum theory!
 
Well I don't know what x is therefore I don't know how to write X, and I'm not sure how sigma would change to x
 
Isn't X given as X = x^\mu \sigma_\mu?
 
Yes...
 
For an n \times n matrix A and a number a, what is det \left(aA\right) in terms of detA?
 
det(cA)=c^{n}(detA)<br />
 
  • #10
smallgirl said:
det(cA)=c^{n}(detA)<br />

So det \left(x^\mu \sigma_\mu\right) = ?
 
  • #11
Well,you need to write it as the product of four vectors,use the explicit form of σ matrices,and calculate the determinant of resulting 2×2 matrix.Got it.you will find it's use in showing the relation SO(3,1)=SL(2,C)/Z2.
 
  • #12
Well from George's previous post, I had realized the conclusion beforehand, however I'm not sure how that will result in the answer I need.. but I guess if I follow andrien it should fall out?
 
  • #13
Each x^\mu is a number and each \sigma_\mu is a number. As an intermediate step, apply
smallgirl said:
det(cA)=c^{n}(detA)<br />

to det \left(x^\mu \sigma_\mu\right). What do you get?
 
  • #14
No! \sigma_{\mu} are complex 2 \times 2 matrices, namely
\sigma_0=\mathbb{1} and \sigma_{j} (j \in \{1,2,3 \}) the three Pauli matrices. This means that in standard representation of the Pauli matrices with \sigma_3 diagonalized you have
X=x^{\mu} \sigma_{\mu}=x^0 \mathbb{1} + \vec{x} \cdot \vec{\sigma}=\begin{pmatrix}<br /> x^0+x^3 &amp; x^1-\mathrm{i} x^2 \\<br /> x^1 + \mathrm{i} x^2 &amp; x^0-x^3<br /> \end{pmatrix}.<br />
Now evaluate its determinant!
 
  • #15
George Jones said:
each \sigma_\mu is a number.

vanhees71 said:
No!

Oops! The above was a slip of my fingers while typing. Obviously, each \sigma_\mu is a matrix, and this what I meant to type.
 
  • #16
sweeet! I see it now, I had the error of not including x^0 when writing out X which was why I couldn't solve the problem. Thank you!
 
  • #17
Now that you see it using the explicit matrix given by vahees71, I will write out the method at which I hinted.

det\left( x^\mu \sigma_\mu \right) = \left( x^\mu \right)^2 det \sigma_\mu = \left( x^0 \right)^2 - \left( x^1 \right)^2 - \left( x^2 \right)^2 - \left( x^3 \right)^2 ,

since det\sigma_0 = 1 and det\sigma_i = -1 for each i.

I think it is important to see the calculation done both ways, i.e., summing before taking the determinant and summing after taking determinants.
 
  • #18
yeah I noticed that the det for sigma(i) was -1, but I didn't know what the determinant for sigma(0) was, so I guess I wasn't able to put everything together...as I wasn't sure how to include sigma(0)
 
  • #19
But \sigma_0 is just the identity matrix ...
 
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