Eigenvalues and Eigenvectors of a Hermitian operator

In summary, the homework statement is trying to find the eigenvalues and normalized eigenfuctions of the Hermitian operator \hat{F}=\alpha\hat{p}+\beta\hat{x}. However, the Attempt at a Solution is confused and does not know how to start.
  • #1
andre220
75
1

Homework Statement



Find the eigenvalues and normalized eigenfuctions of the following Hermitian operator [tex]\hat{F}=\alpha\hat{p}+\beta\hat{x}[/tex]

Homework Equations



In general: ##\hat{Q}\psi_i = q_i\psi_i##

The Attempt at a Solution


I'm a little confused here, so for example I don't know if this mean something like ##\hat{F}|\psi\rangle =f_i|\psi_i\rangle## or not. And if not then I don't know where to start.
 
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  • #2
I would begin by thinking how position and momentum operators act on a given function. This is, remembering that [itex]\hat{r} \left|\psi_{i}\right\rangle=r \left|\psi_{i}\right\rangle[/itex] and [itex]\hat{p} \left|\psi_{i}\right\rangle=\frac{\hbar}{i}\vec{\nabla}\left|\psi_{i} \right\rangle[/itex]. (I have assumed here that p and x mean that!)
 
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  • #3
And yes, you are looking for ##

\hat{F}|\psi\rangle =f_i|\psi_i\rangle
##
 
  • #4
Okay so we have that $$\hat{F} = \alpha\hat{p} + \beta\hat{x} = \alpha i\hbar\frac{\partial}{\partial x} + \beta\hat{x}.$$ So then $$\hat{F}|\psi\rangle = \left(\alpha i\hbar\frac{\partial}{\partial x} +\beta\hat{x}\right)|\psi\rangle = \alpha i\hbar\frac{\partial}{\partial x}|\psi\rangle + \beta\hat{x}|\psi\rangle.$$ But from here I am not sure where to go.
 
  • #5
##

\hat{F}|\psi\rangle =f_i|\psi_i\rangle
## is where you go. In plain language you want to find functions f (or ##\psi##) that satisfy .. f' + ..xf + ..f = 0
 
  • #6
andre220 said:
$$\hat{F} = \alpha\hat{p} + \beta\hat{x} = \alpha i\hbar\frac{\partial}{\partial x} + \beta\hat{x}.$$ So then $$\hat{F}|\psi\rangle = \left(\alpha i\hbar\frac{\partial}{\partial x} +\beta\hat{x}\right)|\psi\rangle $$

Now maybe the application of what you have in parenthesis on a particular wave function leads to something of the form $$\hat{F}|\psi\rangle = f_{i}|\psi\rangle $$
since that application leads to an integer, in this case our eigenvalue.
So if $$|\psi\rangle=Ae^{ikx}$$ is our wave function written in complex form, where [itex]k=\frac{2\pi}{\lambda}[/itex] is the wave vector, then

$$\hat{F}|\psi\rangle = \left(\alpha i^2 k\hbar +\beta x\right)|\psi\rangle = \left(-\alpha k\hbar +\beta x\right)|\psi\rangle = f|\psi\rangle $$

where $$\alpha, \beta \in \Re $$.

My QM are not very 'fresh', so let's wait for others to help us out ;)
 
  • #7
Right so I am not seeing in what way the operator(s) can act on an arbitrary function ##\psi##. For example if we look at just the momentum term we would get something like $$\alpha\,i\hbar\frac{\partial\psi}{\partial x} = \alpha\,i\hbar\,\psi'.$$
 
  • #8
Let's put the terms above straight (in plain text for short)... In the expression F|ψ⟩=ƒ|ψ⟩ we say that |ψ⟩ os an eigenfunction of the operator F, with eigenvalue ƒ.
A normalised function is one such that the integral of the squared function equals one. To do the integral we must take care of which range we are summing, this is, in which range |ψ⟩ is defined (in our case is (-∞, +∞)).

With some format,

[itex]\int|\psi|^2dx=\int\psi^{*} \psi dx[/itex]

where * represents the conjugated (we change sign to the complex unit, i). Let me post this and I meditate the rest of the answer more :D
 
  • #9
Yes I get that but what I don't see is how anything like your example can be constructed given the fact that the ##\psi## in question has no explicit form. In other words, as far as I can tell ##\hat{x}|\psi\rangle = x|\psi\rangle.## Basically, I don't see how it can be written in any explicit form, if that makes sense.
 
  • #10
The form of ##\psi## is exactly what you are going to find out, from the requirement that it is an eigenfunction of the given operator. Let's rename ##\psi## to, for instance y, which is a function of x: y(x).

The given operator ## \alpha i\hbar\frac{\partial}{\partial x} + \beta\hat{x}##
rewrites to ## \alpha i\hbar\frac{dy(x)}{dx} + \beta x\, y(x)##
and the eigenfunction requirement to ## \alpha i\hbar\frac{dy(x)}{dx} + \beta x\, y(x) = \lambda\, y(x)\ ## with ##\lambda## a (complex) number.

This way it looks more like the differential equation it actually is (and what I "hinted" at in post #5 with .. f' + ..xf + ..f = 0)
 
  • #11
Ahh okay this makes much more sense now, and thus ##\lambda## is the eigenvalue(s) and ##y(x)## the eigenfunction(s). Thank you. That helps a lot.
 
  • #12
BvU's presented it überclear :D Don't forget the normalisation thing, ∫y(x)^2 dx=1, right?
 
  • #13
Okay sorry, I've been working on this problem (and others) and I think I have the solution, but I am not quite sure. Here is what I have

$$\alpha i\hbar\frac{\partial y(x)}{\partial x} +\beta x y(x)= \lambda y(x)$$
$$\alpha i\hbar\frac{d y(x)}{dx} +(\beta x -\lambda)y(x) = 0$$
Which has the solution:
$$y(x) = A\, exp(i \frac{\beta x^2-2\lambda x}{2\alpha\hbar})$$
So then I think my next step would be (other than normalizing ##y(x)##) to take the exponent and solve for ##\lambda## by setting it equal to 0 which would the eigenvalues, however, that doesn't seem correct. What am I missing here?
 

1. What is an eigenvalue and eigenvector?

An eigenvalue is a scalar value that represents how much a vector is stretched or compressed when it is multiplied by a matrix. An eigenvector is a non-zero vector that remains in the same direction after being multiplied by a matrix.

2. What is a Hermitian operator?

A Hermitian operator is a special type of matrix that is equal to its own conjugate transpose. This means that the matrix is symmetric along its main diagonal and the elements above and below the diagonal are complex conjugates of each other.

3. Why are eigenvalues and eigenvectors important?

Eigenvalues and eigenvectors are important because they allow us to simplify complex calculations and understand how a matrix transforms a vector. They also have many applications in physics, engineering, and data analysis.

4. How do you find eigenvalues and eigenvectors of a Hermitian operator?

To find eigenvalues and eigenvectors of a Hermitian operator, we can use the process of diagonalization. This involves finding the eigenvectors of the matrix and using them to construct a diagonal matrix with the eigenvalues on the main diagonal. The eigenvectors become the columns of a transformation matrix, which can be used to transform the original matrix into its diagonal form.

5. What are some properties of eigenvalues and eigenvectors of a Hermitian operator?

Some properties of eigenvalues and eigenvectors of a Hermitian operator include the fact that the eigenvalues are all real numbers, the eigenvectors are all orthogonal (perpendicular) to each other, and the sum of the squares of the elements of an eigenvector is equal to 1.

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