Orthonormal basis and operators

In summary, we discussed the relationship between orthonormal bases, eigenvalues, and Hermitian operators in a Hilbert space. We learned that given an orthonormal basis, there exists an infinite set of Hermitian operators with the same basis of eigenvectors, but different eigenvalues. However, the converse is not always true as there may be Hermitian operators with complex eigenvalues.
  • #1
friend
1,452
9
I hope this is the forum to ask this question.

We all know that the eigenvectors of a Hermitian operator form an orthonormal basis. But is the opposite true as well. Are the vectors of an orthonormal basis always the eigenvectors of some Hermitian operator? Or do we need added restrictions to make it so, such as an inner product and dual spaces being the complex conjugate of the normal space? Thanks.
 
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  • #2
friend said:
We all know that the eigenvectors of a Hermitian operator form an orthonormal basis. But is the opposite true as well. Are the vectors of an orthonormal basis always the eigenvectors of some Hermitian operator? Or do we need added restrictions to make it so, such as an inner product and dual spaces being the complex conjugate of the normal space? Thanks.

Hi friend,
welcome to the Forum!

If you are talking about an orthonormal basis, then you assume that the inner product is already defined (orthogonality and normalization of vectors requires presence of the inner product) and you are in a Hilbert space. Given such a basis you can simply define in this basis a diagonal matrix with arbitrary real numbers on the diagonal and you get a Hermitian operator whose eigenvectors are basis vectors and eigenvalues are those diagonal entries.

Eugene.
 
  • #3
All vectors are eigenvectors of the identity operator, and the identity is Hermitian. So, yes.
 
  • #4
meopemuk said:
Hi friend,
welcome to the Forum!

If you are talking about an orthonormal basis, then you assume that the inner product is already defined (orthogonality and normalization of vectors requires presence of the inner product) and you are in a Hilbert space. Given such a basis you can simply define in this basis a diagonal matrix with arbitrary real numbers on the diagonal and you get a Hermitian operator whose eigenvectors are basis vectors and eigenvalues are those diagonal entries.

Eugene.

Thanks. So are you saying that the operator that generates this basis may not be unique (you say "arbitrary real numbers on the diagonal), or is it unique up to a scalar multiple? Thanks.
 
  • #5
friend said:
Thanks. So are you saying that the operator that generates this basis may not be unique (you say "arbitrary real numbers on the diagonal), or is it unique up to a scalar multiple? Thanks.

There is an infinite set of Hermitian operators with the same basis of eigenvectors. They are different by their eigenvalues.

Eugene.
 
  • #6
meopemuk said:
There is an infinite set of Hermitian operators with the same basis of eigenvectors. They are different by their eigenvalues.

Eugene.

Is this because any orthonormal basis from an operator can be transformed to any other basis in the same space that are the eigenvectors of some other operator?
 
Last edited:
  • #7
friend said:
Is this because any orthonormal basis from an operator can be transformed to any other basis in the same space that are the eigenvectors of some other operator?

Yes. You should understand that there is equivalence between Hermitian operators and orthonormal sets of eigenvectors and eigenvalues. Once you get a Hermitian operator you can find a unique (up to degeneracy) basis of eigenvectors and real eigenvalues attached to them. Inversely, once you specified an arbitrary orthonormal basis and assigned an arbitrary real eigenvalue to each basis vector, then you have a unique Hermitian operator.

Eugene.
 
  • #8
friend said:
I hope this is the forum to ask this question.

We all know that the eigenvectors of a Hermitian operator form an orthonormal basis. But is the opposite true as well. Are the vectors of an orthonormal basis always the eigenvectors of some Hermitian operator? Or do we need added restrictions to make it so, such as an inner product and dual spaces being the complex conjugate of the normal space? Thanks.

Given an ortonormal basis in a Hilbert space, there exist an infinity of compact selfadjoint operators whose eigenvectors are precisely the vectors in the given orthonomal basis. The simplest of these operators is the identity operator.
 
  • #9
Yes. You can always construct a Hermitian operator with a weighted sum of the outer product of each basis vector with itself. To do so, just make the weighting coefficients real. (Incidentally, you could make a unitary matrix as well, by making the weighting coefficients have unit modulus.)
 
  • #10
Thank you all for your replies.
 
  • #11
clarification

Is it not possible that some eigen values corresponding to the vectors in the basis that we have picked are not real values. Even though all the vectors in the basis are orthogonal. Just a thought.
 
  • #12
sridhar said:
Is it not possible that some eigen values corresponding to the vectors in the basis that we have picked are not real values. Even though all the vectors in the basis are orthogonal. Just a thought.

If the eigenvalues are not real then the designed operator will not be hermitean.
 
  • #13
exactly! which is why this question does not arise.

"Are the vectors of an orthonormal basis always the eigenvectors of some Hermitian operator? " (mentioned in the first post)

that is all i was saying.
 
  • #14
sridhar said:
exactly! which is why this question does not arise.

"Are the vectors of an orthonormal basis always the eigenvectors of some Hermitian operator? " (mentioned in the first post)

that is all i was saying.

Okay, I missed the connection to the first post. But I think thread starter did not want to ask if the construction from an orthonormal basis always yields a hermitean operator, but if there exists always at least one hermitean operator with these eigenvectors.

Nevertheless an important point.
 
  • #15
OOO said:
Okay, I missed the connection to the first post. But I think thread starter did not want to ask if the construction from an orthonormal basis always yields a hermitean operator, but if there exists always at least one hermitean operator with these eigenvectors.

Nevertheless an important point.

should have quoted! am still not used to posting properly.
Apologies
 
  • #16
meopemuk said:
There is an infinite set of Hermitian operators with the same basis of eigenvectors. They are different by their eigenvalues.

Eugene.
Let me expand this correct idea a bit. Given a complete set of orthonormal of basis vectors, |k>, where k labels the eigenstates -- can be a finite or infinite set. Then for example the spectral resolution, O = Sum over k {|k> k <k|} has the property that O |k> = k |k>. And O is Hermitian. But, the same will be true for F(O), where F is an arbitrary real function. So
F(O) |k> = F(k)|k>. That's about it.
Regards,
Reilly Atkinson
 

1. What is an orthonormal basis?

An orthonormal basis is a set of vectors in a vector space that are mutually orthogonal (perpendicular) and have a unit length (norm of 1). This means that the dot product of any two vectors in the basis is 0 and the length of each vector is 1.

2. How is an orthonormal basis useful in linear algebra?

Orthonormal bases are useful in linear algebra because they provide a way to represent any vector in a vector space as a combination of the basis vectors using simple scalar coefficients. This allows for easier calculation and understanding of linear transformations and other operations on vectors.

3. Can an orthonormal basis be used in any vector space?

Yes, an orthonormal basis can be used in any vector space as long as the space has a defined inner product (a way to measure angles and lengths of vectors). This includes both finite and infinite dimensional vector spaces.

4. What is an orthonormal operator?

An orthonormal operator is a linear transformation (operator) that preserves the dot product between vectors. In other words, the dot product of two vectors before and after the transformation remains the same. This means that the operator preserves orthogonality and unit length, and can be represented by an orthonormal matrix.

5. How do you find the orthonormal basis of a vector space?

To find the orthonormal basis of a vector space, one can use the Gram-Schmidt process. This involves taking a set of linearly independent vectors and using orthogonalization to create a new set of vectors that are also orthogonal. Then, normalizing each vector to have a length of 1 will result in an orthonormal basis for the vector space.

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