Eigenvectors of the hamiltonian

In summary, the conversation discusses the Hamiltonian of a system with a matrix representation and the calculation of its eigenvalues and eigenvectors when unperturbed. The eigenvalues are found to be Vo, Vo, and 2Vo, and the standard procedure for finding eigenvectors is discussed.
  • #1
captainjack2000
99
0

Homework Statement


The Hamiltonian of a system has the matrix representation

H=Vo*(1-e , 0 , 0
0 , 1 , e
0 , e , 2)

Write down the eigenvalues and eigenvectors of the unperturbed Hamiltonian (e=0)

Homework Equations


when unperturbed the Hamiltonian will reduce to Vo* the 3x3 matrix with 1,1,2 along the diagonal. the eigenvalues are therefore Vo,Vo,2Vo (right??)

I am a bit confused about how to calculate the eigenvectors. I have tried looking this up but still get confused. Would they not all be zero since if you sub the eigenvalue Vo back into matrix you would get for the first row

Vo(1-Vo,0,0) * (x,y,z) = (0,0,0) where (x,y,z) is a vertical matrix?
 
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  • #2
What is the problem then? You should know that the 0 vector is the trivial solution, so it is not count for the eigenvector cos it cannot span any solution space.
 
  • #3
So how would you calculate the other eigenvectors. Sorry I am still confused.
 
  • #4
for e=0,
H=
(Vo , 0 , 0
0 , Vo , 0
0 , 0 , 2Vo)
eigenvalue is Vo,Vo,2Vo as you said. So what is the standard procedure to find the eigenvector? I assume that you should take at least one linear algebra before you take QM.
 
  • #5




Yes, you are correct about the eigenvalues for the unperturbed Hamiltonian. The eigenvalues will indeed be Vo, Vo, and 2Vo, as you have correctly calculated.

To calculate the eigenvectors, you will need to solve the following equation for each eigenvalue:

(H - λI)v = 0

Where H is the Hamiltonian matrix, λ is the eigenvalue, I is the identity matrix, and v is the eigenvector. This equation essentially represents the condition for an eigenvector, where the matrix multiplied by the eigenvector is equal to the eigenvalue multiplied by the same eigenvector.

For the first eigenvalue Vo, the equation will be:

(Vo - VoI)v = 0

Solving this equation will give you the eigenvector (1,0,0). Similarly, for the second eigenvalue Vo, the equation will be:

(Vo - VoI)v = 0

Solving this equation will give you the eigenvector (0,1,0). And for the third eigenvalue 2Vo, the equation will be:

(2Vo - 2VoI)v = 0

Solving this equation will give you the eigenvector (0,0,1).

So, the eigenvectors for the unperturbed Hamiltonian are (1,0,0), (0,1,0), and (0,0,1).

I hope this helps clarify the process for calculating eigenvectors for the given Hamiltonian. Let me know if you have any further questions.
 

1. What are the Eigenvectors of the Hamiltonian?

The Eigenvectors of the Hamiltonian are the special vectors that do not change direction when multiplied by the Hamiltonian operator. They are the basis for understanding the behavior and properties of quantum mechanical systems.

2. How are Eigenvectors of the Hamiltonian related to energy levels?

The Eigenvectors of the Hamiltonian are directly related to energy levels of a system. Each Eigenvector corresponds to a specific energy level, and the corresponding Eigenvalue (or characteristic value) represents the energy of that state.

3. Can Eigenvectors of the Hamiltonian be measured?

No, Eigenvectors of the Hamiltonian cannot be measured directly. However, their Eigenvalues can be measured through various observables such as energy, momentum, and position.

4. What is the significance of finding the Eigenvectors of the Hamiltonian?

Finding the Eigenvectors of the Hamiltonian allows us to determine the allowed energy states of a system. This is crucial in understanding the behavior of quantum mechanical systems and predicting the outcomes of measurements.

5. How are Eigenvectors of the Hamiltonian used in quantum mechanics?

Eigenvectors of the Hamiltonian are used extensively in quantum mechanics to describe and analyze the behavior of quantum systems. They are used to calculate energy levels, transition probabilities, and other important properties of quantum systems.

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