Calculating the Determinant of a 2x2 Matrix with Pauli Matrices

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Homework Help Overview

The discussion revolves around calculating the determinant of a 2x2 matrix formed using Pauli matrices and a vector notation involving \( x^\mu \). Participants are exploring the relationship between the matrix elements and the properties of determinants in the context of quantum mechanics.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the structure of the matrix \( X \) and how it relates to the components \( x^\mu \). There are attempts to recall the formula for the determinant of a 2x2 matrix and to express \( X \) explicitly. Some participants question the definitions and relationships between the variables involved.

Discussion Status

There is an ongoing exploration of the determinant calculation, with some participants providing hints and partial guidance on how to approach the problem. Multiple interpretations of the matrix and its components are being discussed, but no consensus has been reached on the final steps of the calculation.

Contextual Notes

Participants note the importance of correctly identifying the elements of the matrix and the implications of using the Pauli matrices in the context of relativistic quantum theory. There is also mention of the determinant properties of the Pauli matrices themselves.

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







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 [itex]X[/itex] 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 [itex]X[/itex] given as [itex]X = x^\mu \sigma_\mu[/itex]?
 
Yes...
 
For an [itex]n \times n[/itex] matrix [itex]A[/itex] and a number [itex]a[/itex], what is [itex]det \left(aA\right)[/itex] in terms of [itex]detA[/itex]?
 
[tex]det(cA)=c^{n}(detA)[/tex]
 
  • #10
smallgirl said:
[tex]det(cA)=c^{n}(detA)[/tex]

So [itex]det \left(x^\mu \sigma_\mu\right) =[/itex] ?
 
  • #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 [itex]x^\mu[/itex] is a number and each [itex]\sigma_\mu[/itex] is a number. As an intermediate step, apply
smallgirl said:
[tex]det(cA)=c^{n}(detA)[/tex]

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

vanhees71 said:
No!

Oops! The above was a slip of my fingers while typing. Obviously, each [itex]\sigma_\mu[/itex] 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.

[tex]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 ,[/tex]

since [itex]det\sigma_0 = 1[/itex] and [itex]det\sigma_i = -1[/itex] for each [itex]i[/itex].

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 [itex]\sigma_0[/itex] is just the identity matrix ...
 

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