Trace of elements in a finite complex matrix group is bounded

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SUMMARY

The discussion centers on the properties of finite complex matrix groups, specifically demonstrating that for any element g in a finite complex matrix group G, the trace of g, denoted as |\text{tr}(g)|, is bounded by n, with equality occurring only when g equals e^{i\theta}I. The proof leverages the finite order of elements in G, leading to the conclusion that the eigenvalues of g must lie on the unit circle, thus ensuring that the absolute value of the trace does not exceed n. The reference for this problem is Exercise A2.11 from Nielsen and Chuang's "Quantum Computation and Quantum Information, 10th Anniversary Edition."

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  • Understanding of finite complex matrix groups
  • Familiarity with eigenvalues and eigenvectors
  • Knowledge of trace properties in linear algebra
  • Concept of diagonalizability and Jordan normal form
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  • Learn about the implications of eigenvalues lying on the unit circle
  • Explore the concept of Jordan normal form in detail
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This discussion is beneficial for mathematicians, quantum computing researchers, and students studying linear algebra, particularly those focusing on matrix theory and its applications in quantum mechanics.

jahlex
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Homework Statement



Let G be a finite complex matrix group: G \subset M_{n\times n}. Show that, for g \in G, |\text{tr}(g)| \le n and |\text{tr}(g)| = n only for g = e^{i\theta}I.

2. The attempt at a solution

Since G is finite, then every element g \in G has a finite order: g^r = I for some whole number r. By the formula for traces, \text{tr}(g) = \displaystyle\sum_{i=1}^n \lambda_i and \text{tr}(g^r) = \displaystyle\sum_{i=1}^n \lambda_i^r = n where \lambda_i are eigenvalues of g. So how do I show that |\displaystyle\sum_{i=1}^n \lambda_i| \le \displaystyle\sum_{i=1}^n \lambda_i^r for complex \lambda_i ?

The problem comes from Exercise A2.11 on page 612 of Nielsen and Chuang's Quantum Computation and Quantum Information 10th Anniversary Edition. The textbook can easily be found, for example, here www.johnboccio.com/research/quantum/notes/QC10th.pdf
 
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Suppose ##\lambda_1 = \lambda_2 = 1/2##. Then it is not true that |1/2 + 1/2| < |1/4 + 1/4|. So in general that inequality just isn't true.

There must be something about G being finite that rules out the above case.
 
jahlex said:

Homework Statement



Let G be a finite complex matrix group: G \subset M_{n\times n}. Show that, for g \in G, |\text{tr}(g)| \le n and |\text{tr}(g)| = n only for g = e^{i\theta}I.

2. The attempt at a solution

Since G is finite, then every element g \in G has a finite order: g^r = I for some whole number r. By the formula for traces, \text{tr}(g) = \displaystyle\sum_{i=1}^n \lambda_i and \text{tr}(g^r) = \displaystyle\sum_{i=1}^n \lambda_i^r = n where \lambda_i are eigenvalues of g. So how do I show that |\displaystyle\sum_{i=1}^n \lambda_i| \le \displaystyle\sum_{i=1}^n \lambda_i^r for complex \lambda_i ?

The problem comes from Exercise A2.11 on page 612 of Nielsen and Chuang's Quantum Computation and Quantum Information 10th Anniversary Edition. The textbook can easily be found, for example, here www.johnboccio.com/research/quantum/notes/QC10th.pdf

If you can show that g \in G \subset GL(\mathbb{C},n) is diagonalizable, then the fact that g^r = I requires that the eigenvalues of g lie on the unit circle. You then have <br /> \left| \sum_{i = 1}^n \lambda_i \right| \leq \sum_{i= 1}^n |\lambda_i| = \sum_{i = 1}^n 1 = n<br />
where the first inequality is a basic result.

To show that g is diagonalizable, consider the Jordan normal form of g. Why does the requirement that g have finite order mean that its normal form cannot contain non-diagonal Jordan blocks?
 
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