Normal operators with real eigenvalues are self-adjoint

In summary, a normal operator with real eigenvalues can be diagonalized and has a complete orthonormal set of eigenvectors. By using the fact that the eigenvalues are real, we can show that a normal operator is self-adjoint, using the properties of unitary and diagonal matrices.
  • #1
Doom of Doom
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Prove that a normal operator with real eigenvalues is self-adjoint


Seems like a simple proof, but I can't seem to get it.

My attempt: We know that a normal operator can be diagonalized, and has a complete orthonormal set of eigenvectors.

Let A be normal. Then A= UDU* for some diagonal matrix D and unitary U. Also, A*=U*D*U

Since D is the diagonal matrix of the eigen values of A, D is real, and thus D=D*.

Thus D=U*AU = UA*U*.

Then, I just get stuck on A=U²A*(U*)².
 
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  • #2
You seem to be using the substitution
(ST)* --> S*T*,​
but the left hand side is not equal to the righthand side; making this substitution is not a valid deduction.
 

1. What is a normal operator?

A normal operator is a linear operator on a complex inner product space that commutes with its adjoint. This means that the operator and its adjoint can be applied in any order without changing the result.

2. What are real eigenvalues?

Real eigenvalues are the values that satisfy the characteristic equation of a matrix or operator, where the coefficients are real numbers. They are the values that, when multiplied by an eigenvector, produce a scalar multiple of that eigenvector.

3. Why are normal operators with real eigenvalues important?

Normal operators with real eigenvalues are important because they have many useful properties, such as being self-adjoint and having an orthonormal basis of eigenvectors. This makes them easier to work with and allows for simpler calculations in many applications, such as in quantum mechanics and signal processing.

4. What does it mean for a normal operator with real eigenvalues to be self-adjoint?

A self-adjoint operator is one that is equal to its own adjoint, meaning that it is its own inverse. In the case of a normal operator with real eigenvalues, this means that the operator and its adjoint share the same eigenvectors and eigenvalues, making it easier to solve for these values.

5. How can I determine if a normal operator has real eigenvalues?

There is no simple method for determining if a normal operator has real eigenvalues. However, if the operator is also self-adjoint, then it is guaranteed to have real eigenvalues. Additionally, if the operator has a symmetric or Hermitian matrix representation, then it also has real eigenvalues. In general, finding the eigenvalues of a normal operator requires using numerical methods or solving the characteristic equation.

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