Linear Algebra Proof, Hermitian Matrices

In summary, the homework statement states that if AB and CD are Hermitian, then AB is only Hermitian if AB=BA. However, this is not always the case. The Attempt at a Solution provides a way to group matrices when conjugating them together, and this can be helpful when trying to solve a problem. Additionally, wikipedia states that if A and B are both Hermitian and AB commutes, then AB=BA=B*A*=(AB)*, so we know that AB is Hermitian.
  • #1
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Homework Statement



Let A, B, C, D be nxn complex matrices such that AB and CD are Hermitian, i.e., (AB)*=AB and (CD)*=CD.

Show that AD-B*C*=I implies that DA-BC=I

The symbol * indicates the conjugate transpose of a matrix, i.e., M* is the conjugate transpose of M.

I refers to the identity.

Homework Equations



Wikipedia says that if A and B are Hermitian, AB is only Hermitian if AB=BA. I'm not sure if this is supposed to be a biconditional, and AB=BA indicates that AB is Hermitian.

I don't know what else may be relevant to proving this.

The Attempt at a Solution



I'm not sure where to start. Just because AB and CD are Hermitian, do we know that A, B, C, and D individually are hermitian? I suppose that if we knew that, and we knew (somehow) that AD=DA, the proof is trivial. But alas, we don't know those things, do we?

Thank you for your help. I appreciate it.

Homework Statement


Homework Equations


The Attempt at a Solution

 
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  • #2
It would help to group matrices when conjugating them together:
i.e. (AB)* = AB.

You should make use of the rule: (XY)* = Y*X*.

Also w.r.t. your wikipedia quote, you don't need to assume A and B are individually Hermitian here, just that their product is. (For example if A = B* their product is Hermitian even if B* isn't equal to B).
 
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  • #3
Sorry about forgetting the brackets. I fixed that.

Okay, (XY)*=Y*X*. So we can rewrite as AD-(CB)*=I. But how does that help?

My main problem is that we don't know that any of the individual matrices A, B, C, D are Hermitian. If we could prove that, we're done. B*C* is the same as BC, and then we just need to know that AD=DA. But that's easy, I suppose. If we know that B and C are Hermitian, then we can say that since (CD)(AB) is Hermitian, and [tex]C^{-1}[/tex] and [tex]B^{-1}[/tex] are Hermitian, showing that DA is Hermitian is easy. Then DA=AD.

Thank you for your help, I appreciate it.

Also, wikipedia seems to indicate that A and B have to be Hermitian and AB must commute before we know that AB is Hermitian:

The sum of any two Hermitian matrices is Hermitian, and the inverse of an invertible Hermitian matrix is Hermitian as well. However, the product of two Hermitian matrices A and B will only be Hermitian if they commute, i.e., if AB = BA. Thus An is Hermitian if A is Hermitian and n is an integer.
http://en.wikipedia.org/wiki/Hermitian_matrix
 
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  • #4
I just realized something: If AB=(AB)*=B*A*=BA, then AB commutes. But that is only true if A, B, and AB are all Hermitian.

Alternatively, we can say that if A, B are both Hermitian and AB commutes, then AB=BA=B*A*=(AB)*, so we know that AB is Hermitian. That's why the property I cited from wikipedia is true, but that only holds true if the individual matrices are Hermitian on their own.
 
  • #5
Hmmm... you shouldn't assume any of A, B, C, and D are Hermitian by themselves.

Some tools you have are the identity properties of I plus that it too is Hermitian.

But since you brought up commutativity, often when you have something that's close to commutative or would be simpler if things were commutative, it is useful to utilize the commutator bracket to swap things around. For example:

XY = [X,Y] + YX

Try playing with that. (And I'll do likewise. I haven't yet figured it out either.)
 
  • #6
I've found a counter example to what you have written.

Let:
[tex] B^\dagger = A = \left( \begin{array}{c c} 1 & 1\\ 0 & 1\end{array}\right)[/tex]
and
[tex] D^\dagger = C = \left( \begin{array}{c c} 0 & 1\\ -1 & 0\end{array}\right)[/tex]

I think you get AD - B*C*= I but DA-BC = -2C not I. Check my work and if correct check your copy of the problem.

Could it have read AD and BC are Hermitian?

EDIT[I think it must be the case. This makes the problem simple using my first suggestion.]
 
  • #7
I didn't check all your work, but my initial reaction: all four matrices have to be complex matrices, that's the initial condition. If they're not complex, the conjugate transpose is the same as the transpose, and they're just simple symmetric matrices.

Am I wrong?
 

1. What is a linear algebra proof?

A linear algebra proof is a mathematical argument that uses properties and principles of linear algebra to prove the validity of a statement or claim. It involves using theorems, definitions, and logical reasoning to support the conclusion.

2. What are Hermitian matrices?

Hermitian matrices are a type of complex square matrix that is equal to its own conjugate transpose. In other words, the matrix is equal to the transpose of its complex conjugate. This type of matrix is also known as self-adjoint.

3. How do you prove that a matrix is Hermitian?

To prove that a matrix is Hermitian, you must show that it is equal to its own conjugate transpose. This can be done by taking the complex conjugate of each element in the matrix, transposing the matrix, and then comparing it to the original matrix. If they are equal, then the matrix is Hermitian.

4. What are the properties of Hermitian matrices?

Some properties of Hermitian matrices include:

  • They have real eigenvalues.
  • Their eigenvectors corresponding to distinct eigenvalues are orthogonal.
  • They are diagonalizable.
  • Their determinant is real.
  • They are closed under addition and multiplication.

5. How are Hermitian matrices used in real-world applications?

Hermitian matrices have many applications in various fields such as physics, engineering, and computer science. They are used in quantum mechanics, signal processing, and image processing, to name a few. In these applications, Hermitian matrices are used to represent physical systems and perform operations on them to analyze and predict their behavior.

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