Explanation of Schur's Lemma Corollary

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In summary, Georgi proves a theorem in his book on Group Theory that states that for any finite dimensional irreducible representation D of a group G, any similarity transformation A that commutes with D must be proportional to the identity matrix. This implies that there is no additional freedom to transform the basis states of D, except for a uniform phase factor.
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praharmitra
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Hi, I am studying Group Theory from Georgi's book. Here is an excerpt from Chap 1, Pg 14.

He proves the following theorem (theorem 1.4):

If [tex]D(g)A = AD(g) \forall g \in G [/tex] where D is a finite dimensional irreducible representation of G, then [tex] A \propto I [/tex]

He then goes on to say, the following:

A consequence of Schur's lemma is that the form of the basis states of an irreducible representation are essentially unique. We can rewrite theorem 1.4 as the statement

[tex]A^{-1} D(g) A = D(g) \forall g \in G \Rightarrow A \propto I [/tex]

for any irreducible representation D. This means once the form of D is fixed, there is no further freedom to make nontrivial similarity transformations on the states. The only unitary transformation you can make is to multiply all the states by the same phase factor.

I have not understood the inference he has made at all. Can you please explain?
 
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The inference that he is making is that once the form of the irreducible representation D is fixed, then any similarity transformation (such as those represented by matrix A) that can be applied to the states of the representation must be proportional to the identity matrix. This means that the only nontrivial unitary transformation that can be applied to the states is to multiply them all by the same phase factor.
 

FAQ: Explanation of Schur's Lemma Corollary

What is Schur's Lemma Corollary?

Schur's Lemma Corollary is a mathematical theorem that states that if a linear operator on a finite-dimensional vector space has only one eigenvalue, then it must be a scalar multiple of the identity operator.

What is the significance of Schur's Lemma Corollary?

Schur's Lemma Corollary is important in the study of linear algebra, particularly in representation theory. It helps to simplify the analysis of linear operators and their eigenvalues, making it easier to understand and solve complex problems.

How is Schur's Lemma Corollary related to Schur's Lemma?

Schur's Lemma Corollary is an extension of Schur's Lemma, which states that a linear operator on a finite-dimensional vector space with no non-trivial invariant subspaces must be a scalar multiple of the identity operator. Schur's Lemma Corollary applies to the specific case of a linear operator with only one eigenvalue.

Can Schur's Lemma Corollary be applied to infinite-dimensional vector spaces?

No, Schur's Lemma Corollary only applies to finite-dimensional vector spaces. In infinite-dimensional vector spaces, there are more complex and varied behaviors of linear operators and their eigenvalues.

Are there any real-world applications of Schur's Lemma Corollary?

Yes, Schur's Lemma Corollary has applications in various fields such as physics, engineering, and computer science. It is used to analyze and solve problems related to linear systems, quantum mechanics, and control theory, among others.

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