Expected value of observable over time

Et/\hbar)-\sin^2(Et/\hbar)\right)=\frac{a}{2}\cos(2Et/\hbar)Yes, that is correct. Just be careful with the notation in the last line. It should be: \left<A(t)\right>_+ = \frac{a}{2}\cos(2Et/\hbar)
  • #1
castlemaster
38
0

Homework Statement



We have a linear combination of eigenstates of observable A [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex] with eigenstates a and -a. The expected value of the energy for both states is 0, while [tex](\Phi_+,H\Phi_-)=E[/tex], with E real. Calculate the expected value of A for eigenstates [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex] over time.

Homework Equations



I guess

[tex](\Phi_+,H\Phi_+)=(\Phi_-,H\Phi_-)=0[/tex]
[tex](\Phi_+,H\Phi_-)=E[/tex]
[tex]\varphi=C_+\Phi_++C_-\Phi_-[/tex]

The Attempt at a Solution



I guess that for the given equations I have to obtain <H>

[tex]<H>=\varphi^*H\varphi=(C_+\Phi_++C_-\Phi_-)^*H(C_+\Phi_++C_-\Phi_-)=C_+^*C_+(\Phi_+^*,H\Phi_+)+C_-^*C_-(\Phi_-^*,H\Phi_-)+C_+^*C_-(\Phi_+^*,H\Phi_-)+C_-^*C_+(\Phi_-^*,H\Phi_+)[/tex]

Then I assume C's and [tex]\Phi[/tex]'s are real so
[tex]<H>=2C_+C_-E[/tex]

Now I have to compute this

[tex]<A>=(\varphi^*,A\varphi)[/tex]


How <H> plugs into the calculation of <A>?
 
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  • #2
Express your states in terms of energy eigenstates. That way you can find out their time dependence from the Schrödinger equation.
 
  • #3
[tex]
\varphi=C_+\Phi_+e^{-iE_+t/h}+C_-\Phi_-e^{-iE_-t/h}
[/tex]

Aren't [tex]E_+,E_-[/tex] suposed to be 0?
 
  • #4
No, [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex] aren't eigenstates of energy so you can't use the simple exponential time dependence. You have to find what the eigenstates of energy are and express [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex] in terms of those states.

The way I would go about this is to use matrix representation for the operators in the basis of the eigenstates of A. Choose:

[tex]\Phi_+ = \left( \begin{array}{c} 1 \\0 \end{array}\right) ; \Phi_- = \left(\begin{array}{c} 0 \\1 \end{array}\right)[/tex]

[tex]\Rightarrow A = \left( \begin{array}{cc} a & 0 \\ 0 & -a \end{array}\right) ; H = \left( \begin{array}{cc} 0 & E \\ E & 0 \end{array}\right)[/tex]

You can find the energy eigenstates (whose time development is just the exponential) by diagonalizing H and express [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex] in terms of those states thus obtaining the time dependence of [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex].
 
  • #5
I see, the problem is that H and A are not represented in the same basis of eigenstates
 
  • #6
Well, actually they are. They are both represented in the basis of eigenstates of A. The problem is that time development is determined by the hamiltonian which means that you need eigenstates of H in order to obtain the time development of [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex]
 
  • #7
I found the diagonal matrix of H to be:

[tex]
\Rightarrow D = \left( \begin{array}{cc} E & 0 \\ 0 & -E \end{array}\right)
[/tex]

so the eigenvalues are E and -E and

[tex]

\varphi=C_+\Phi_+e^{-iEt/h}+C_-\Phi_-e^{iEt/h}

[/tex] ?

[tex]<A>_t=(\varphi,A\varphi)[/tex]

but this is time independent ...
 
  • #8
Again you are treating [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex] as if they were energy eigenstates which they are not. They don't have the exponential time development, energy eigenstates do.

As you correctly calculated the eigenvalues of energy are ±E, so it follows that eigenvectors are

[tex]\left|E_+\right> = \frac{1}{\sqrt{2}}\left( \begin{array}{c} 1 \\1 \end{array}\right) ; \left|E_-\right> = \frac{1}{\sqrt{2}}\left( \begin{array}{c} 1 \\-1 \end{array}\right)[/tex]

From which it follows that

[tex]\Phi_\pm = \frac{1}{\sqrt{2}}\left(\left|E_+\right> \pm \left|E_-\right>\right)[/tex]

Now |E±> have the exponential time development:

[tex]\left|E_\pm, t\right> = e^{\mp i Et/\hbar}\left|E_\pm, t=0\right>[/tex]

From this you can deduce the time dependence of [tex]\Phi_+[/tex] and [tex]\Phi_-[/tex] and calculate the expectation value.

Btw, I don't get why you're using [tex]\varphi[/tex]. I think what you are asked to find is

[tex](\Phi_+^*(t), A\Phi_+(t))[/tex] and [tex](\Phi_-^*(t), A\Phi_-(t))[/tex]
 
  • #9
yes I know I have a lot to learn, I don't even know what they ask for. Let's see

I guess the [tex]\sqrt{2}[/tex] is to normalise the vectors

[tex]
(\Phi_+^*(t), A\Phi_+(t))=\frac{1}{2}(e^{-jEt/h}+e^{jEt/h})a(e^{jEt/h}+e^{-jEt/h})=\frac{a}{2}(2+e^{-2jEt/h}+e^{2jEt/h})=a(1+cos(2Et/h))=2acos^2(Et/h)
[/tex]

and I guess the other should look like [tex]2asin^2(Et/h)[/tex]
 
  • #10
Indeed [tex]\sqrt{2}[/tex] is for normalization. Also you can't just replace A with the eigenvalue because the state depends on time. At t=0 it is indeed an eigenstate of A but after that it evolves into something else (in fact the state oscillates between the two eigenstates). Use the the matrix representation of operators and states and calculate the expectation value in the traditional way:

[tex]\Phi_+(t) = \frac{1}{\sqrt{2}}\left(e^{-iEt/\hbar}\left|E_+\right> + e^{iEt/\hbar}\left|E_-\right>\right) = \frac{1}{2}\left( \begin{array}{c} e^{-iEt/\hbar} + e^{iEt/\hbar}\\e^{-iEt/\hbar} - e^{iEt/\hbar} \end{array}\right) = \left( \begin{array}{c} \cos(Et/\hbar) \\ -i\sin(Et/\hbar) \end{array}\right)[/tex]

[tex]\left<A(t)\right>_+ = \Phi_+^{\dagger}(t) A \Phi_+(t)[/tex]

And the one with the minus sign correspondingly.

EDIT:

There is also an alternative way of doing this and that is the Heisenberg picture. Instead of having time dependent states (Sxhrödinger picture) one can take the time dependence into the operators. A(t) = eiHt/hAe-iHt/h. By using the fact that H2 = E2I2 (I2 being the identity matrix) one can deduce that

[tex]e^{\pm iHt/\hbar} = \cos(Et/\hbar) \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} \pm i\sin(Et/\hbar) \begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}[/tex]

and thus get the time dependence of the operator A. But if you haven't yet studied the Heisenberg picture then just disregard this piece of information. I think it's easier to do this in the Schrödinger picture anyway, but one should keep in mind that there are often several ways to solve the problem.
 
Last edited:
  • #11
is this right?

[tex]
\Phi_+^{\dagger}(t) A \Phi_+(t)= \left( \cos(Et/\hbar) \: i\sin(Et/\hbar) \right) \left( \begin{array}{cc} a & 0 \\ 0 & -a \end{array}\right) \left( \begin{array}{c} \cos(Et/\hbar) \\ -i\sin(Et/\hbar) \end{array}\right)=a(cos^2(Et/h)-sin^2(Et/h))
[/tex]
 
  • #12
I think so. You can write it a little more compactly, though, recall that [tex]\cos^2(x) - \sin^2(x) = \cos(2x)[/tex]
 
  • #13
thanks a lot
 
  • #14
Hi,

I have a similar question now. From the text I take this
[tex]
\varphi=+\frac{1}{2}\Phi_+\frac{1}{\sqrt{2}}\Phi_0+\frac{1}{2}\Phi_-
[/tex]
[tex]
\Phi_+ = \left( \begin{array}{c} 1 \\0\\0 \end{array}\right) ; \Phi_- = \left(\begin{array}{c} 0\\0 \\1 \end{array}\right); \Phi_0 = \left(\begin{array}{c} 0\\1 \\0 \end{array}\right)
[/tex]
[tex]
\Rightarrow A = \left( \begin{array}{ccc} 0 & 0 & a \\ 0 & a & 0 \\ a & 0 & 0 \end{array}\right) ; H = \left( \begin{array}{ccc} E & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & -E \end{array}\right)
[/tex]

Folowing the same methodology I diagonalise A and get the eigenvalues of A to be a (two times) and -a .

The question is if A is a constant of movement. From what I know this is true if [A,H]=0. I guess this A refers to the matrix formed bythe eigenvalues of A

[tex]
\Rightarrow A = \left( \begin{array}{ccc} a & 0 & 0 \\ 0 & a & 0 \\ 0 & 0 & -a \end{array}\right)
[/tex]

If I do [A,H] = AH-HA = 0.
Meaning A is a constant of movement and <A> is constant in time.

The next question is to calculate <A>t . Is it then <A>t= <A> at t=0 ?

[tex]
<A>_0=+\frac{1}{4}a+\frac{1}{2}a+\frac{1}{4}(-a)
[/tex]

I guess this last part is wrong, from where I take the coefficients? from the eigenvectors that I calculate when I diagonalise A?
 
  • #15
When calculating the commutator [A,H] you have to do it in the same basis. If you use the basis you defined above (the basis of energy eigenstates) then both A and H have to be expressed in that basis, that is

[tex]

\Rightarrow A = \left( \begin{array}{ccc} 0 & 0 & a \\ 0 & a & 0 \\ a & 0 & 0 \end{array}\right) ; H = \left( \begin{array}{ccc} E & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & -E \end{array}\right)

[/tex]

The diagonalized A is expressed in a different basis, namely in the basis of its own eigenstates. You don't need to diagonalize anything, just work in the basis you defined. And since [tex]\varphi[/tex] is already expressed as a linear combination of eigenstates of H you know how it evolves in time.
 

Related to Expected value of observable over time

What is the expected value of an observable over time?

The expected value of an observable over time is a measure of the average value that a certain observable will take over a specified period of time. It takes into account all possible outcomes and their respective probabilities.

How is the expected value of an observable over time calculated?

The expected value of an observable over time is calculated by multiplying each possible outcome by its respective probability, and then summing all of these values. This calculation can be represented mathematically as ∑ x * P(x), where x represents each possible outcome and P(x) represents the probability of that outcome.

Why is the expected value of an observable over time important?

The expected value of an observable over time is important because it allows us to make predictions about the future based on past data. It also helps us understand the likelihood of certain outcomes and make informed decisions.

What are some key assumptions when calculating the expected value of an observable over time?

Some key assumptions when calculating the expected value of an observable over time include that the data is normally distributed, the probabilities are known, and each outcome is equally likely to occur. These assumptions may not always hold true in real-world scenarios, so it is important to consider their limitations.

How can the expected value of an observable over time be used in decision making?

The expected value of an observable over time can be used in decision making by comparing it to the cost or benefit associated with a certain outcome. If the expected value is greater than the cost, it may be a favorable decision. However, it is important to also consider other factors and potential risks before making a decision solely based on the expected value.

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