Non-degenerate Hermitian Matrices and their Eigenvalues

In summary, the conversation discusses finding a non-degenerate 2x2 matrix with only real eigenvalues but is not Hermitian. The individual proposes a matrix that fits these criteria, but then questions the validity of their notes which lead to contradictory results. After further discussion and clarification, it is determined that the original matrix example is correct and there was an error in the individual's calculations.
  • #1
RJLiberator
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Homework Statement


Is there a non-degenerate 2x2 matrix that has only real eigenvalues but is not Hermitian? (Either find such a matrix, or prove that it doesn't exist)

Homework Equations

The Attempt at a Solution



Here's my problem. I'm getting Contradicting results.

So, I found this 2x2 matrix:
\begin{matrix}
1 & 2 \\
3 & 2
\end{matrix}

This matrix has eigenvalues of 4 and -1.

This matrix is not hermitian as the hermitian representation of this matrix transposes it.

Therefore this matrix is a 2x2 matrix that is non-degenerate and is NOT hermitian and has ONLY real eigenvalues.

This should be the example that the question was looking for.

However, in my notes, I have the equation for eigenvalues being
eigenvalue = [(a+b)+/- (squareroot ((a-b)^2-4cd))]/2

where
\begin{matrix}
a & c \\
d & b
\end{matrix}

And if we take this representation, we get negative eigenvalues.

What is going on here?
 
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  • #2
RJLiberator said:
However, in my notes, I have the equation for eigenvalues being
eigenvalue = [(a+b)+/- (squareroot ((a-b)^2-4cd))]/2

where
\begin{matrix}
a & c \\
d & b
\end{matrix}

And if we take this representation, we get negative eigenvalues.

What is going on here?
Are you sure about that equation?
I find, by expanding ##\det(A-\lambda I)=0## and solving the quadratic equation:
##\lambda=\frac{(a+b)\pm\sqrt{(a+b)²-4(ab-cd)}}{2}##
 
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  • #3
Yes, I agree with what you are saying, and I noticed that as well, however, if you simplify it further:

(a+b)^2 = a^2+b^2+2ab
So then, 2ab-4ab becomes -2ab.

so now we have a^2+b^2-2ab-4cd
but a^2+b^2-2ab is just (a-b)^2 and so we get
(a-b)^2-4cd.

which is why I am getting contradictory results.
What is going wrong?
 
  • #4
RJLiberator said:
Yes, I agree with what you are saying, and I noticed that as well, however, if you simplify it further:

(a+b)^2 = a^2+b^2+2ab
So then, 2ab-4ab becomes -2ab.

so now we have a^2+b^2-2ab-4cd
but a^2+b^2-2ab is just (a-b)^2 and so we get
(a-b)^2-4cd.

which is why I am getting contradictory results.
What is going wrong?
It should be ##+4cd## after the simplification.
 
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  • #5
Ah...yes, that was the source of my frustration.

So, it seems my example now holds up and has nothing contradicting it.

Thank you kindly.
 

Related to Non-degenerate Hermitian Matrices and their Eigenvalues

1. What is a non-degenerate Hermitian matrix?

A non-degenerate Hermitian matrix is a square matrix that is equal to its own conjugate transpose. In other words, the elements on the main diagonal are real numbers, and the elements above and below the main diagonal are complex conjugate pairs.

2. What is the significance of a matrix being Hermitian?

A Hermitian matrix has several important properties, such as having real eigenvalues and orthogonal eigenvectors. This makes it useful in many applications, including quantum mechanics and signal processing.

3. How do you find the eigenvalues of a non-degenerate Hermitian matrix?

The eigenvalues of a non-degenerate Hermitian matrix can be found by solving the characteristic equation det(A-λI) = 0, where A is the matrix and λ is the eigenvalue. This will result in a set of real eigenvalues.

4. Can a non-degenerate Hermitian matrix have complex eigenvalues?

No, a non-degenerate Hermitian matrix can only have real eigenvalues. This is because the matrix is equal to its own conjugate transpose, so the complex eigenvalues would have to be equal to their own complex conjugates, which is only possible if they are real numbers.

5. How does the non-degeneracy condition affect the eigenvalues of a Hermitian matrix?

The non-degeneracy condition means that the eigenvalues of a Hermitian matrix are all distinct. This allows us to uniquely identify each eigenvalue and its corresponding eigenvector, making it easier to solve problems involving such matrices.

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