The Cartan matrix in order to find the roots.

In summary: I think I understand now. In summary, Georgi explains that the simple roots of a Lie algebra are the lowest weights and that this is due to their being simple roots. He also explains that the Cartan matrix is based on the Jz quantum number and that this is how he constructs the root diagram on page 118.
  • #1
AlbertEi
27
0
Hi All,

I've been following a group theory course which I am struggling with at the moment. I'm from 3 different books (Georgi, Cahn and also Jones). I'm trying to understand section 8.7 and 8.9 in the book by Georgi.

I (think I) understand that any pair of root vectors of a simple Lie algebra has an SU(2) subalgebra (as Georgi explains on page 93).

And due to equation 8.47, 8.48, and 8.49 (sorry I don't know how to make equations in Latex), we can say (I think) that the off-diagonal elements of the 2x2 cartan matrix are equal to 2*m, where m denotes the projection of the total angular momentum (see equation 3.23).

Therefore, if we look at the illustration on page 118 which illustrates how to find all the roots for G_2, we see that the simple roots are represented by the boxes alpha_1 == (2 -1) (thus m_1 = -1/2) and alpha_2 == (-3 2) (thus m_2 = -3/2).

I think that until here I understand it (please correct me if I'm wrong).

And then Georgi writes: "We know that the simple roots alpa_1 and alpha_2 are the highest weights of spin 1 representations for their respectives SU(2)s.

Why is this the case? As far as I know they are simple roots and thus they are the lowest weights? And I don't understand what he means with spin 1 representation? I've look at equation 3.31 but that doesn't clarify it for me.

Now he says m_1 is the bottom of a doublet and m_2 is the bottom of the quartet. I'm not sure why you can just assume that's the case?
 
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  • #2
Spin 1 representation: In case of su(2), the spin algebra, there is exactly one irrep per dimension. The 1-dim irrep corresponds to heighest weight j=0, i.e. it describes a spin 0 system and is therefore called the spin 0 representation. The 2-dim irrep corresponds to spin 1/2, the 3-dim irrep to spin 1, and so on. In general dimension of irrep = 1+2j.
 
  • #3
Hi CuriosusNN,

Thanks for your reply. I understand what you're saying but I can't see that how the simple roots are a 3 dimensional representation?

In fact, I thought that alpha_1 would have highest weight j = 1/2 (because it is a doublet) and alpha_2 would have highest weight j = 3/2 (because it is a quartet).

Any help would be much appreciated because I'm worried that I'm fundamentally misunderstanding something.

Thanks,
 
  • #4
I haven't yet had time to dig deeper myself, but I think something is completely wrong with your assumption that the Cartan Matrix should be dependent on the Jz quantum number m. This cannot be true since the Cartan matrix is independent of any choice of representation. However, the allowed range of m is restricted by the chosen representation of su(2) labelled by j, i.e. -j ≤ m ≤ j, and even in a given representation we have states of different m which can each be reached by operating with the step operators E_+-\alpha up or down in the range from -j to j.
 
  • #5
Now I'm thoroughly confused...

We know that for SU(2):

J_3 acting on the "state" m gives "eigenvalue" m (equation 3.7):

And that is exactly how he construct the Cartan matrix (see equation 8.47).

And I don't see how else he constructs that root diagram on page 118?

Thanks,
 

1. What is the Cartan matrix?

The Cartan matrix is a mathematical tool used in the study of Lie algebras, which are mathematical structures that describe the symmetries of a given system. It is a square matrix that encodes information about the algebra's root system.

2. What is the purpose of the Cartan matrix?

The Cartan matrix is used to find the roots of a Lie algebra, which are the fundamental building blocks of the algebra. These roots represent the symmetries of the system and can be used to understand its structure and properties.

3. How do you construct the Cartan matrix?

The Cartan matrix is constructed by choosing a set of simple roots, which are a basis for the root system of the algebra. The matrix is then filled with coefficients that represent the relationships between these simple roots.

4. How do you find the roots using the Cartan matrix?

To find the roots, one must first diagonalize the Cartan matrix to obtain its eigenvalues. These eigenvalues correspond to the lengths of the roots, and the eigenvectors correspond to the root vectors. By using these root vectors, the full root system of the algebra can be determined.

5. Why is the Cartan matrix important?

The Cartan matrix is important because it allows us to understand the symmetries of a system through the study of its root system. This is crucial in many areas of mathematics and physics, including group theory, representation theory, and particle physics.

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