Max Trace of U(N) Matrices: A Complex Problem

In summary, the Max Trace of U(N) Matrices is the maximum possible value for the sum of the diagonal elements of a unitary matrix with N rows and columns. It is a complex problem that involves finding the maximum sum of complex numbers, and it is significant in mathematics due to its relationship with unitarity. The Max Trace is typically calculated using optimization techniques, and it has practical applications in quantum computing, cryptography, communication systems, and other areas of mathematics.
  • #1
DavidK
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Assume [tex] A [/tex] is a complex [tex] N \times N [/tex] matrix. It is well known that [tex] \max_{V \in U(N)} |Tr(AV)| = Tr(\sqrt{AA^{\dagger}})[/tex]. But what is
[tex] \max_{V \in U(N)} Re(Tr(AV)) [/tex]?

[tex] U(N) [/tex] is the group of unitary [tex] N \times N [/tex] matrices.

(I could not preview my post properly, so I apologize for any latex-misstakes )
 
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  • #2
You may ignore this question. It was not very difficult to show that [tex] \max_{V \in U(N)} Re(Tr(AV))=Tr(\sqrt{AA^{\dagger}})[/tex] aswell. :blushing:
 
  • #3


The problem of finding the maximum trace of U(N) matrices, specifically the real component, is indeed a complex problem. This is because the unitary group U(N) is a highly complex and non-commutative group, making it challenging to find a closed-form solution for the maximum real trace.

However, there are some known results that can help us understand the problem better. One of these results is the fact that the maximum trace of a U(N) matrix A can be expressed as Tr(√(AA†)), as mentioned in the content. This means that the maximum real trace will be the real part of this expression, which is Tr(Re(√(AA†))).

Another way to approach this problem is to consider the eigenvalues of A. Since A is a complex matrix, its eigenvalues can be complex as well. The maximum real trace of A will then be the sum of the real parts of its eigenvalues. However, finding the eigenvalues of a U(N) matrix can also be a complex problem, as it involves solving a non-linear system of equations.

In conclusion, finding the maximum real trace of U(N) matrices can be a complex and challenging problem due to the non-commutative nature of the unitary group and the complex eigenvalues of the matrices. Further research and analysis may be needed to find a closed-form solution or efficient computational methods for this problem.
 

FAQ: Max Trace of U(N) Matrices: A Complex Problem

What is the Max Trace of U(N) Matrices?

The Max Trace of U(N) Matrices refers to the maximum possible value for the sum of the diagonal elements of a unitary matrix with N rows and columns. In other words, it is the highest possible sum of the eigenvalues of a unitary matrix.

Why is the Max Trace of U(N) Matrices a complex problem?

The Max Trace of U(N) Matrices is a complex problem because it involves finding the maximum sum of complex numbers, which can have both real and imaginary parts. This requires advanced mathematical techniques and can be challenging to solve.

What is the significance of the Max Trace of U(N) Matrices in mathematics?

The Max Trace of U(N) Matrices is significant in mathematics because it is related to the concept of unitarity, which is an important property in quantum mechanics and other fields. It also has applications in signal processing, coding theory, and other areas of mathematics.

How is the Max Trace of U(N) Matrices calculated?

The Max Trace of U(N) Matrices is typically calculated using optimization techniques, such as convex optimization or semidefinite programming. These methods involve finding the optimal unitary matrix that maximizes the trace, subject to certain constraints.

What are some practical applications of the Max Trace of U(N) Matrices?

The Max Trace of U(N) Matrices has applications in various fields, including quantum computing, cryptography, and communication systems. It is also used in the design of error-correcting codes and in the study of random matrices.

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