Check If Operator Is Hermitian: Real Eigenvalue Test

In summary, the condition for checking if an operator is hermitian is that its associated eigenvalue must be a real number. This can be determined by using the (x,y) notation for the scalar product and the definition of H^\dagger, which is (H^\dagger x,y)=(x,Hy). However, just checking one eigenvalue is not enough, as for a non-hermitian operator, all eigenvalues may still be real. A valid definition for hermitian operators, as stated by Fredrik, applies to all finite dimensional vector spaces with an inner product, and may require supplementary conditions for infinite dimensional vector spaces in quantum mechanics.
  • #1
kthouz
193
0
How to check if an operator is hermitian? I mean what is the condition
Actualy, i am using the principe that say that the eigenvalue associated with the operator must be a REAL NUMBER.That is to say that i work out to that eigenvalue and see if it is a real number. Am i right?
 
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  • #2
Using the (x,y) notation for the scalar product, the definition of [itex]H^\dagger[/itex] is

[tex](H^\dagger x,y)=(x,Hy)[/tex]

and the definition of "hermitian" is [itex]H^\dagger=H[/itex]. So you usually don't have to think about eigenvalues.
 
  • #3
Fredrik's definition is correct, and it is also true that an operator thus defined has real eigenvalues, as you said.
 
  • #4
For an hermitian, ALL of the evs must be real.
Just checking one ev isn't enough.
 
  • #5
clem said:
For an hermitian, ALL of the evs must be real.
Just checking one ev isn't enough.

True, this is necessary, but not sufficient. It is possible that all eigenvalues are
real for a non-Hermitian operator. A very simple example is the 2x2 matrix
((1, 3), (2, 2)) which is not Hermitian, but it has two distinct real eigenvalues,
namely 4 and -1.

On the other hand, Fredrik's definition is a good one, stick to it. It is valid for
all finite dimensional Vector spaces with an inner product. In QM, the vector
space can be infinite dimensional of course. In that case, Fredrik's definition
requires some supplementary conditions about bounded operators.
 

Related to Check If Operator Is Hermitian: Real Eigenvalue Test

What is the "Check If Operator Is Hermitian: Real Eigenvalue Test"?

The "Check If Operator Is Hermitian: Real Eigenvalue Test" is a mathematical method used to determine if a linear operator is Hermitian, meaning it is equal to its own complex conjugate. This test is specifically designed to check for real eigenvalues, which are eigenvalues that are not complex numbers.

Why is it important to check if an operator is Hermitian?

Checking if an operator is Hermitian is important because Hermitian operators have many useful properties that make them valuable in quantum mechanics and other areas of physics. For example, Hermitian operators have real eigenvalues, which correspond to measurable quantities in quantum mechanics. Additionally, Hermitian operators are self-adjoint, meaning they are equal to their own adjoint, making them easier to work with mathematically.

What is the process for performing the Real Eigenvalue Test?

The process for performing the Real Eigenvalue Test involves first finding the eigenvalues of the operator. Then, the eigenvalues are checked to see if they are real numbers. If all of the eigenvalues are real, the operator is considered Hermitian. If at least one eigenvalue is complex, the operator is not Hermitian.

What are the benefits of using the Real Eigenvalue Test over other methods?

The Real Eigenvalue Test is a simple and efficient method for determining if an operator is Hermitian. It only requires finding the eigenvalues, which can often be done using well-known techniques, and then checking if they are real. This test is also specific to real eigenvalues, making it more accurate and reliable for determining Hermitian operators.

Are there any limitations to the Real Eigenvalue Test?

Yes, there are some limitations to the Real Eigenvalue Test. This test can only determine if an operator is Hermitian or not, it cannot provide any information about the specific properties of the operator. Additionally, this test only works for operators with real eigenvalues, so it cannot be used for operators with complex eigenvalues. Finally, this test may not be applicable for all types of operators, so it is important to use other methods and techniques in conjunction with the Real Eigenvalue Test for a more comprehensive analysis.

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