Happy holidays,BenDecomposing tensor product of GL(2,C) representations

In summary, the conversation discussed decomposing a representation of GL(2,C) on C^2\otimes Sym^{N-2}(C^2) into irreps, and references were provided for the Littlewood-Richardson rule and the Schur functor for constructing such decompositions.
  • #1
swallowtail
2
0
Hi PF bloggers,
I'm trying to decompose a representation of [tex] GL(2,C) [/tex] on [tex]C^2\otimes Sym^{N-2}(C^2)[/tex] into IRREPS and I'm wondering if there's anything similar to Clebsh-Gordan coefficients which could assist one in this task?
Any good references one could point out?
Happy holidays!

P.S.: action is described as [tex] g(v\otimes w) := g(v)\otimes g(w)[/tex], and '[tex]Sym^{N-2}(C^2)[/tex] ' is thought as homogeneous polynomials of degree (N-2) in two variables.
 
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  • #2
Hi,

To decompose a tensor product of representations of GL(n,C) into a direct sum of irreps, use the Littlewood-Richardson rule:
http://en.wikipedia.org/wiki/Littlewood–Richardson_rule

In your case, C^2 is the standard representation represented by the partition (1), and Sym^{N-2}(C^2) is the representation represented by the partition (N-2), so the decomposition is

Sym^{N-1}(C^2) \oplus S_{(N-2,1)}(C^2)

where the second thing is the irrep corresponding to the partition (N-2,1). See this for one possible construction:
http://en.wikipedia.org/wiki/Schur_functor
A more combinatorial description can be found in Section 2 of this paper:
http://arxiv.org/abs/0810.4666
 

Related to Happy holidays,BenDecomposing tensor product of GL(2,C) representations

What is the Rep tensor product of GL(2,C)?

The Rep tensor product of GL(2,C) is a mathematical operation that combines two representations of the general linear group GL(2,C) into a single representation. It is often used in the study of symmetry and group theory.

How is the Rep tensor product of GL(2,C) calculated?

The Rep tensor product is calculated by taking the direct sum of the two representations and then applying a specific tensor product operation. This involves multiplying the matrices of the two representations and then taking the sum of all possible combinations of indices.

What is the significance of the Rep tensor product of GL(2,C)?

The Rep tensor product is important in the study of symmetry and group theory because it allows us to combine different representations of GL(2,C) to create new, more complex representations. This can help us understand the underlying structure and properties of the group.

What are some applications of the Rep tensor product of GL(2,C)?

The Rep tensor product has many applications in both mathematics and physics. It is used in the study of Lie algebras, quantum mechanics, and representation theory. It also has practical applications in fields such as signal processing and image recognition.

Are there any limitations to the Rep tensor product of GL(2,C)?

Like any mathematical operation, the Rep tensor product has its limitations. It can only be used for representations of GL(2,C), and it may not always produce a new, irreducible representation. Additionally, the calculations involved can become very complicated for larger representations.

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