Solving an equation for a unitary matrix

In summary, to solve the given equation for the unitary matrix U, you can use the properties of unitarity and the given equation to manipulate and simplify the equation. By using the properties of unitarity, you can obtain two equations for U, one when q \neq m and one when q = m. By combining these two equations, you can solve for U in terms of the given parameters.
  • #1
Threepwood
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Homework Statement



I have an equation for a unitary matrix [tex]U[/tex],
[tex]\sum_k{ \left(\left(\varepsilon_k - \mu\right) \bar{U}_{qk} U_{km} + \gamma \sum_p{\bar{U}_{qk}U_{pm} - \tilde{\epsilon}_k \delta_{qm}} \right)} = 0[/tex]
I need to solve this equation for [tex]U[/tex]

Homework Equations



The property of unitarity requires that [tex]U\bar{U} = \hat{I}[/tex]

The Attempt at a Solution


If [tex]q \neq m[/tex] then
[tex]\sum_k{ \left(\left(\varepsilon_k - \mu\right) \bar{U}_{qk} U_{km} + \gamma \sum_p{\bar{U}_{qk}U_{pm} } \right)} = 0[/tex]
so that
[tex]\sum_k \left(\varepsilon_k - \mu\right)\bar{U}_{qk} U_{km} = - \gamma \sum_{kp} \bar{U}_{qk} U_{pm}[/tex]

If [tex]q = m[/tex] then
[tex]\sum_k \left(\varepsilon_k - \mu\right) = - \sum_{kp} \left(U_{mk} U_{pm} - \tilde{\epsilon_k}\right)[/tex]

How do I combine these two results in one equation for [tex]U[/tex]?
 
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  • #2


your best approach to solving this problem would be to use the given equation and the properties of unitarity to manipulate and simplify the equation. Here are some steps you can take to solve for U:

1. Use the property of unitarity (U\bar{U} = \hat{I}) to rewrite the equation as \sum_k{\left(\left(\varepsilon_k - \mu\right)U_{qk}U_{km} + \gamma \sum_p{U_{qk}U_{pm}} - \tilde{\epsilon}_k \delta_{qm} \right)} = 0.

2. Expand the sums and rearrange terms to get \sum_k{\left(\left(\varepsilon_k - \mu\right)U_{qk}U_{km}\right)} + \sum_p{\gamma U_{qk}U_{pm}} - \sum_k{\tilde{\epsilon}_k \delta_{qm}} = 0.

3. Use the fact that q \neq m to simplify the first term on the left-hand side to \sum_k{\left(\varepsilon_k - \mu\right)U_{qk}U_{km}} = -\gamma \sum_{kp}{U_{qk}U_{pm}}.

4. Substitute this into the equation to get \sum_p{\gamma U_{qk}U_{pm}} - \sum_k{\tilde{\epsilon}_k \delta_{qm}} = 0.

5. Use the fact that q = m to simplify the first term on the left-hand side to \sum_p{\gamma U_{qk}U_{pm}} = -\tilde{\epsilon}_q.

6. Substitute this into the equation to get -\tilde{\epsilon}_q - \sum_k{\tilde{\epsilon}_k \delta_{qm}} = 0.

7. Rearrange the terms to get \tilde{\epsilon}_q = -\sum_k{\tilde{\epsilon}_k \delta_{qm}}.

8. Use this result to solve for U_{qm} in terms of \tilde{\epsilon}_k: U_{qm} = \frac{-\tilde{\epsilon}_q}{\tilde{\epsilon}_m}.

9. Use this result to solve for U in terms of \tilde{\epsilon}_k: U
 

1. What is a unitary matrix?

A unitary matrix is a type of square matrix with complex entries that satisfies the condition of being its own inverse. This means that when multiplied with its conjugate transpose, it results in the identity matrix.

2. Why is it important to solve an equation for a unitary matrix?

Unitary matrices have many important properties and applications in mathematics, physics, and engineering. Solving an equation for a unitary matrix allows us to find the values of the matrix elements and understand its behavior in different contexts.

3. How do you solve an equation for a unitary matrix?

The process of solving an equation for a unitary matrix involves using various mathematical techniques, such as the Gram-Schmidt process, to find a set of orthonormal vectors that form the columns of the matrix. The equation can then be solved by using these vectors to construct the unitary matrix.

4. What are some applications of unitary matrices?

Unitary matrices are used in quantum mechanics to represent quantum operations and transformations. They are also used in signal processing, image compression, and cryptography. In addition, unitary matrices have applications in solving differential equations and studying symmetries in mathematical objects.

5. Are all matrices solvable for a unitary matrix?

No, not all matrices can be solved for a unitary matrix. In order for a matrix to be unitary, it must satisfy the condition of being its own inverse. This means that the matrix must be square and have complex entries with a particular relationship between them. Matrices that do not meet these conditions cannot be solved for a unitary matrix.

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