Expectation value of composite observable in singlet state

In summary, the conversation discusses a question about calculating the expectation value for an observable in a system of two spins in the singlet state. The person asking the question presents their attempts at solving it and asks for help in figuring out where they may have made a mistake. The conversation concludes with a clarification that there should not be a correlation between certain observables in the singlet state.
  • #1
ostrich2
7
1

Homework Statement



I've been reading Leonard Susskind's Theoretical Minimum volume on QM, and enjoying it quite a bit - the book doesn't include exercise solutions at the end though, and if they exist online for this volume I haven't been able to find them. (Perhaps if such solutions were accumulated somewhere they'd be of interest to readers of the book).

One exercise asks you, given a system of two spins in the singlet state ([tex] |sing \rangle = \frac{1}{\sqrt{2}} (|ud \rangle - |du \rangle) [/tex] to calculate the expectation value for the observable [tex]\sigma_x\tau_y[/tex] (with one observer measuring their spin along the x-axis and the other observing along the y).

I've been getting some anomalous results trying to do this calculation, I'm wondering if someone might be able to spot where things are going wrong.

Homework Equations



[tex]
|sing \rangle = \frac{1}{\sqrt{2}} (|ud \rangle - |du \rangle) \\
\langle sing| = \frac{1}{\sqrt{2}} (\langle ud| - \langle du|) \\

\tau_y|ud \rangle = -i|uu \rangle \\
\tau_y|du\rangle = i|dd\rangle \\

\sigma_x|dd\rangle = |ud\rangle \\
\sigma_x|uu\rangle = |du\rangle

[/tex]

The Attempt at a Solution



First,
[tex]
\langle\sigma_x\tau_y\rangle = \langle sing|\sigma_x\tau_y|sing\rangle \\
[/tex]

[itex]
\begin{align}

\sigma_x\tau_y|sing\rangle &= \sigma_x[\frac{1}{\sqrt{2}}(-i |uu\rangle + i |dd\rangle)]\\
&=\frac{i}{\sqrt{2}}\sigma_x(|dd\rangle - |uu\rangle)\\
&=\frac{i}{\sqrt{2}}(|ud\rangle - |du\rangle)\\
\end{align}
[/itex]

Then completing the inner product and taking the product of othogonal vectors as 0,

[tex]
\begin{align}
\langle\sigma_x\tau_y\rangle &= \frac{i}{\sqrt{2}}\frac{1}{\sqrt{2}}(\langle ud| - \langle du|)(|ud\rangle - |du\rangle)\\
&=\frac{i}{2}(1-0-0+1)\\
&=i
\end{align}
[/tex]

That can't be right since the expectation value of an observable surely has to be real. So I decided to try an alternate method, using the trace of the projection operator of sing> and the observable, i.e.

[tex]
\begin{align}
\langle sing|\sigma_x\tau_y|sing\rangle &= Tr~ |sing\rangle~ \langle sing|~\sigma_x\tau_y\\
&=\sum_{i}\langle i|sing\rangle\langle sing|\sigma_x\tau_y|i\rangle\\
\end{align} \\
\text{i ranging over the basis vectors uu,ud,du,uu}
[/tex]

Since <uu|sing> and <dd|sing> are both 0, this has two terms:
[tex]
\langle sing|\sigma_x\tau_y|sing\rangle = \langle ud|sing\rangle\langle sing|\sigma_x\tau_y|ud\rangle + \langle du|sing\rangle\langle sing|\sigma_x\tau_y | du\rangle\\
[/tex]

[tex]
\langle ud|sing\rangle = \frac{1}{\sqrt{2}} \\
\langle du|sing\rangle = \frac{-1}{\sqrt{2}} \\

\begin{align}
\langle sing|\sigma_x\tau_y &= \frac{1}{\sqrt{2}}(\langle dd| - \langle uu|) \tau_y \\
&= \frac{1}{\sqrt{2}}(-i \langle du| - i\langle ud|)\\
&= \frac{-i}{\sqrt{2}}(\langle ud| + \langle du|)\\
\end{align}
[/tex]

[tex]
\begin{align}
\langle sing|\sigma_x\tau_y|sing\rangle &= \frac{1}{\sqrt{2}}\frac{-i}{\sqrt{2}} \langle(\langle ud| + \langle du|) | ud\rangle\\
&+ \frac{1}{\sqrt{2}}\frac{-i}{\sqrt{2}}\langle(\langle ud| + \langle du|) | du\rangle\\
&= \frac{-i}{2}(1+1)\\
&= -i
\end{align}
[/tex]

That still doesn't look right. Finally, I tried working out the matrix representation of [tex]|sing\rangle \langle sing | \sigma_x\tau_y[/tex] directly:

By Kronecker product,

[tex]
\sigma_x\tau_y =
\begin{pmatrix}
0 & 0 & 0 & i\\
0 & 0 & i & 0\\
0 & -i & 0 & 0\\
i & 0 & 0 & 0\\
\end{pmatrix}
[/tex]

For the matrix representation of [tex]|sing\rangle \langle sing|[/tex], the i,jth entry in the matrix is
[tex]\langle sing|j\rangle \langle i|sing\rangle [/tex]

Since |sing> is a superposition of |ud> and |du>, the inner products of |sing> with |uu> and |dd> are all 0,
[tex]
\langle sing|ud\rangle \langle ud|sing\rangle = \frac{1}{\sqrt{2}} \frac{1}{\sqrt{2}} = \frac{1}{2} \\
\langle sing|ud\rangle \langle du|sing\rangle = \frac{1}{\sqrt{2}} \frac{-1}{\sqrt{2}} = \frac{-1}{2} \\
\langle sing|du\rangle \langle ud|sing\rangle = \frac{-1}{\sqrt{2}} \frac{1}{\sqrt{2}} = \frac{-1}{2} \\
\langle sing|du\rangle \langle du|sing\rangle = \frac{-1}{\sqrt{2}} \frac{-1}{\sqrt{2}} = \frac{1}{2} \\
[/tex]

So [tex]|sing\rangle \langle sing| =
\begin{pmatrix}
0 & 0 & 0 & 0\\
0 & \frac{1}{2} & \frac{-1}{2} & 0\\
0 & \frac{-1}{2} & \frac{1}{2} & 0\\
0 & 0 & 0 & 0\\
\end{pmatrix}
[/tex]

[tex]

|sing\rangle \langle sing|\sigma_x\tau_y =
\begin{pmatrix}
0 & 0 & 0 & i\\
0 & 0 & i & 0\\
0 & -i & 0 & 0\\
i & 0 & 0 & 0\\
\end{pmatrix}

\begin{pmatrix}
0 & 0 & 0 & 0\\
0 & \frac{1}{2} & \frac{-1}{2} & 0\\
0 & \frac{-1}{2} & \frac{1}{2} & 0\\
0 & 0 & 0 & 0\\
\end{pmatrix} =
\begin{pmatrix}
0 & 0 & 0 & 0\\
0 & \frac{i}{2} & \frac{i}{2} & 0\\
0 & \frac{-i}{2} & \frac{-i}{2} & 0\\
0 & 0 & 0 & 0\\
\end{pmatrix}

[/tex]

So the trace consisting of the diagonal elements, Tr = [tex]\frac{i}{2} - \frac{i}{2}[/tex] = 0

So 0 at least makes sense as an expectation value, although I'm not too sure now if it's the correct one.
 
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  • #2
Hello, ostrich2. Welcome to PF!

[itex]
\sigma_x\tau_y|sing\rangle = \sigma_x[\frac{1}{\sqrt{2}}(-i |uu\rangle + i |dd\rangle)

[/itex]

Check your signs on the right hand side of this equation.
 
  • #3
TSny said:
Hello, ostrich2. Welcome to PF!



Check your signs on the right hand side of this equation.

Aha - thanks, just looking at [tex]\tau_y|sing\rangle[/tex], I think the correct result is:

[tex]\tau_y|sing\rangle = \frac{-i}{\sqrt{2}}(|uu\rangle + |dd\rangle)[/tex]

So, the eventual result is

[tex]\frac{1}{\sqrt{2}}\frac{-i}{\sqrt{2}}(\langle ud| - \langle du|)(|du\rangle + |ud\rangle)[/tex]

which gives 0. Let me go back to the other calculation - there must be some similar sign problem there as well.

Now I'm scratching my head a bit about the result - this seems to imply that even though the system is in an entangled state, and the individual expectation values [tex]\langle\sigma_x\rangle[/tex] and [tex]\langle\tau_y\rangle[/tex] are still 0, the correlation is also 0, almost as if it was a product state?
 
  • #4
Hi ostrich2, sorry for this rather late reply :frown:

I'd certainly expect a correlation between [itex]\sigma_z[/itex] and [itex]\tau_z[/itex] for the singlet state, but I don't see why you think there would be a correlation between [itex]\sigma_x[/itex] and [itex]\tau_y[/itex].

Roughly speaking: knowing what [itex]\sigma_x[/itex] is gives you no information whatsoever about what [itex]\tau_y[/itex] is.

[disclaimer - I didn't check your calculations, but I think your answer is correct]
 
  • #5




Thank you for sharing your thoughts and calculations on this exercise. It seems like you have put a lot of effort into trying to understand the expectation value of composite observables in the singlet state. Let's go through your attempts and see where things might have gone wrong.

Firstly, your initial calculation using the inner product method is correct. The only mistake is in the last step, where you have taken the product of orthogonal vectors as 0. This is not always true, as the product of orthogonal vectors can also be a complex number. In this case, the product is actually equal to -1, so your final result should be -i instead of just i.

Moving on to your second attempt using the trace method, you have correctly calculated the expectation value for the observable \sigma_x\tau_y. However, you have forgotten to divide by the dimension of the Hilbert space, which is 4 in this case. So your final result should be -i/4 instead of just -i.

Finally, your matrix representation method is also correct. However, you have made a small mistake in the last step. The trace of the matrix product should be taken using the diagonal elements, not the off-diagonal elements. So your final result should be 0 instead of -i/2.

In summary, the correct expectation value for the observable \sigma_x\tau_y in the singlet state is -i/4. It is always important to double check your calculations and make sure you are using the correct methods and formulas. Keep up the good work and happy studying!
 

Related to Expectation value of composite observable in singlet state

1. What is the expectation value of a composite observable in a singlet state?

The expectation value of a composite observable in a singlet state is the average value that would be obtained for the observable if the system is repeatedly measured in the singlet state. It is calculated by taking the inner product of the composite observable with the singlet state and then taking the absolute square of the result.

2. How is the expectation value of a composite observable in a singlet state different from a single observable?

The expectation value of a composite observable in a singlet state is different from a single observable because it takes into account the entanglement between the different components of the composite observable. This means that the expectation value may be affected by the correlations between the different components, whereas a single observable would only consider the measurement of one component at a time.

3. Can the expectation value of a composite observable in a singlet state be negative?

Yes, the expectation value of a composite observable in a singlet state can be negative. This is because the singlet state is a superposition of two states with opposite spin orientations, so the expectation value can be negative if the two components have different values for the observable being measured.

4. How does the expectation value of a composite observable in a singlet state change over time?

The expectation value of a composite observable in a singlet state can change over time if the system is allowed to evolve. This is because the entanglement between the different components of the composite observable may change as the system evolves, leading to changes in the expectation value. However, if the system is not allowed to evolve, the expectation value will remain constant.

5. Can the expectation value of a composite observable in a singlet state be greater than the maximum value of the individual components?

Yes, the expectation value of a composite observable in a singlet state can be greater than the maximum value of the individual components. This is because the expectation value takes into account the correlations between the components, which may result in a higher value than what would be obtained by measuring the individual components separately.

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