Characteristic Roots of Hermitian matrix & skew hermitian

In summary, to prove that the characteristic roots of a hermitian matrix are real, one must consider the eigenvalues or the characteristic equation and the hermitian conjugate of the matrix. Similarly, to prove that the characteristic roots of a skew hermitian matrix are either pure imaginary or equal to zero, one must consider the same approach.
  • #1
Hala91
9
0

Homework Statement


1)Prove that the characteristic roots of a hermitian matrix are real.
2)prove that the characteristic roots of a skew hermitian matrix are either pure imaginary or equal to zero.

Homework Equations





The Attempt at a Solution

 
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  • #2
What is the definition of "Hermitian matrix"? Have you worked with "self-adjoint linear operators" yet?
 
  • #3
A Hermitian matrix (or self-adjoint matrix) is a square matrix with complex entries which is equal to its own conjugate transpose - that is, the element in the ith row and jth column is equal to the complex conjugate of the element in the jth row and ith column, for all indices i and j
NO we haven't worked with it yet...
 
  • #4
Honestly I have no clue how to prove any of them :S
 
  • #5
for the first one, start by considering an eigenvalue of H
[tex] Hu = \lambda u [/tex]

or similarly consider the characteristic equation
[tex] | H- \lambda I| [/tex]

consider the hermitian conjugate of either arguments
 
  • #6
Thanks for your help guys I have proved them earlier this morning :)
 

Related to Characteristic Roots of Hermitian matrix & skew hermitian

1. What is a Hermitian matrix?

A Hermitian matrix is a square matrix that is equal to its own conjugate transpose. This means that if we take the complex conjugate of each entry in the matrix and transpose it, we will get the original matrix. In simpler terms, a Hermitian matrix is symmetric about its main diagonal, with the values on the diagonal being real numbers.

2. What is a skew Hermitian matrix?

A skew Hermitian matrix is also a square matrix that is equal to its own conjugate transpose, but with the opposite sign. In other words, if we take the complex conjugate of each entry in the matrix and transpose it, we will get the negative of the original matrix. Similar to a Hermitian matrix, a skew Hermitian matrix is also symmetric about its main diagonal, but with the values on the diagonal being purely imaginary numbers.

3. What are the characteristic roots of a Hermitian matrix?

The characteristic roots of a Hermitian matrix are the eigenvalues of the matrix. These are the values that, when multiplied by the corresponding eigenvectors, give back the original matrix. In the case of a Hermitian matrix, the characteristic roots are always real numbers.

4. Can a Hermitian matrix have complex eigenvalues?

No, a Hermitian matrix can only have real eigenvalues. This is because the characteristic polynomial of a Hermitian matrix has only real coefficients, which means that the solutions (eigenvalues) must also be real.

5. What is the relationship between the characteristic roots of a Hermitian matrix and its skew Hermitian counterpart?

The characteristic roots of a Hermitian matrix and its skew Hermitian counterpart are complex conjugates of each other. This means that if a Hermitian matrix has eigenvalues a+bi (where a and b are real numbers), then its skew Hermitian counterpart will have eigenvalues -a+bi. Additionally, the eigenvectors of a Hermitian matrix and its skew Hermitian counterpart are also complex conjugates of each other.

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