Derive the probability of spin at arbitrary angle is cos( )

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The discussion centers on deriving the probability of measuring spin along an arbitrary direction in quantum mechanics, specifically using the framework established by Dr. Leonard Susskind in his Stanford Lecture on Quantum Entanglement. The final result for the probability is confirmed to be $$P=\frac{1}{2}(1+\cos(\theta))$$, where $$\theta$$ is the angle between the two spin directions. The participants engage in detailed algebraic manipulations involving Pauli matrices and eigenvectors to arrive at this conclusion, emphasizing the importance of careful calculation to avoid errors in the lengthy derivation process.

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Sparky_
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From Dr. Leonard Susskind's Stanford Lecture: Quantum Entanglement, Lecture 4, he sets up a "given particle is spin up along n (arbitrary direction) and discusses : what is probability we measure up along another arbitrary m direction
From Dr. Leonard Susskind's Stanford Lecture: Quantum Entanglement, Lecture 4, he sets up a "given particle is spin up along n (arbitrary direction) and discusses : what is probability we measure up along another arbitrary m directionHe does all of the setup, - calculates the eigenvectors and gives the final answer: ##\frac{1}{2}(1-\cos(\theta))##

Months and months ago I took a stab at the work and gave up - got really messy
Few days ago I thought (for fun) I would tackle it again, jumping to the end I ended up with:
$$\frac{1}{2}((1+\cos(\theta) ) (1 - m_3^2 -n_3^2 + (m_3n_3)^2)$$
$$= \frac{1}{2} (1+\cos(\theta))(m_3^2-1)(n_3^2-1)$$

The work is many pages of algebra with m's and n's, fortunately a lot canceled and then others grouped to simplify
My current result seems clean but has the terms ##(m_3^2-1)(n_3^2-1)## (with##1-\cos(\theta)## factored out
I'm hoping you tell me there is a step to cancel or something

The initial matrices before the turn-the-crank work is:

$$\begin{pmatrix}\sqrt{ \frac{1+m_3} {2} } && \frac{1-m_3}{m+}\sqrt{\frac{1+m_3}{2}} \end{pmatrix}\begin{pmatrix}\sqrt{\frac{1+n_3}{2}} \\ \frac{1-n_3}{n-}\sqrt{\frac{1+n_3}{2}}\end{pmatrix}$$Thanks

Sparky_
 
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The component of the spin in direction of the unit vector ##\vec{n}## is given by
$$\hat{s}_{\vec{n}}=\frac{\hbar}{2} \vec{n} \cdot \vec{\sigma},$$
where ##\vec{\sigma}## denote the three Pauli matrices.

Without loss of generality in your above description you can choose ##\vec{n}=\vec{e}_3##. Then with the standard definition of the Pauli matrices the state your spin is prepared in is represented by the vector ##(1,0)##.

Now find the eigenvector of ##\vec{m} \cdot \vec{\sigma}## with the eigenvalue ##1##. The probability that ##\sigma_{\vec{m}}## takes the value ##+\hbar/2## is then given by the squared modulus of the 1st component of this eigenvector (think about, why?).
 
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here is the link to the lecture. He (Dr. Susskind) sets up the QM eigenvectors. I am just trying to do the brute force calculation to get ##\frac{1}{2} 1+\cos(\theta))## . He says that this result can come out of "just" the algebra

(You see I must be close) Unfortunately I am 10+ pages of algebra and did have several careless mistakes along the way
here is the link - go to around 32:00 minutes
 
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Ok, Let's do the calculation. We just take
$$\vec{m}=\begin{pmatrix}\sin \vartheta \\ 0 \\ \cos \vartheta \end{pmatrix}.$$
The matrix we have to diagonalize is
$$\vec{m} \cdot \vec{\sigma}=\begin{pmatrix} \cos \vartheta & \sin \vartheta \\ \sin \vartheta &-\cos \vartheta \end{pmatrix}.$$
To get the eigenvalues we need the characteristic polynomial
$$\mathrm{det} (\vec{m} \cdot \vec{\sigma}-\lambda \hat{1}) = (\cos \vartheta-\lambda)(-\cos \vartheta-\lambda)-\sin^2 \vartheta=\lambda^2-1,$$
i.e., we get the two eigenvalues
$$\lambda_1=+1, \quad \lambda_2=-1.$$
This means the spin component ##s_{\vec{m}}## can take the values ##\hbar/2## and ##-\hbar/2##.

For the eigenvector to the eigenvalue +1 we must have
$$\vec{m} \cdot \vec{\sigma} \begin{pmatrix} a\\ b \end{pmatrix}=\begin{pmatrix}\cos \vartheta a + \sin \vartheta b \\ \sin \vartheta a -\cos \vartheta b\end{pmatrix}=\begin{pmatrix} a\\ b \end{pmatrix}.$$
From the first component we get
$$b=\frac{1-\cos \vartheta}{\sin \vartheta}a.$$
Setting ##a=N \sin \vartheta## we get the eigenvector
$$|m_{\vec{m}}=+\hbar/2 \rangle=N \begin{pmatrix}\sin \vartheta \\ 1-\cos \vartheta \end{pmatrix}.$$
The normalization facto must be chosen such that this vector has norm 1,
$$|N|^2 [(1-\cos \vartheta)^2 + \sin \vartheta^2]=|N|^2 2(1-\cos \vartheta) =1.$$
Up to an irrelevant phase factor thus
$$N=\frac{1}{\sqrt{2(1-\cos \vartheta)}}.$$
So we get
$$ |m_{\vec{m}}=+\hbar/2 \rangle=\frac{1}{\sqrt{2(1-\cos \vartheta}} \begin{pmatrix} \sin \vartheta \\ 1-\cos \vartheta \end{pmatrix}.$$
So the probability is
$$P=|\langle m_z=\hbar/2|m_{\vec{m}}=\hbar/2 \rangle|^2=\frac{\sin^2 \vartheta}{2 (1-\cos \vartheta)}.$$
With the formulae
$$\sin \vartheta=2 \sin (\vartheta/2) \cos(\vartheta/2), \cos \vartheta=\cos^2(\vartheta/2)-\sin^2(\vartheta/2)=1-2 \sin^2 \vartheta \; \Rightarrow \; 1-\cos \vartheta=2\sin^2 (\vartheta/2)$$
you finally get
$$P=\cos^2(\vartheta/2)=\frac{1}{2}(1+\cos \vartheta).$$
That's not what you say, but of course for ##\vartheta=0## we must get ##P=1##. So this seems to be the correct answer.
 
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I don't think we are on the same page, I am trying to see if I am close to the ##\frac{1}{2}(1-\cos(\theta))## result
I feel like I am close and don't want to give up again
From the lecture I did the inner product (squared) and worked through a lot of mess

My question is not on setting up the inner product of the eigenvectors, it is given Dr. Suskkind's inner product (squared) from lecture what remaining step do I need to finish / end up with ##\frac{1}{2}(1-\cos(\theta))##

Thanks
 
the approach I am chasing is with n = ##n_1 +\n_2 + n_3## and m = ##m_1 + m_2+m_3##
the angle between is ##\theta##
##n- = n_1 - i*n_2 and n+ = n_1 + i*n_2## likewise for m- and m+

$$\begin{pmatrix}\sqrt{ \frac{1+m_3} {2} } && \frac{1-m_3}{m+}\sqrt{\frac{1+m_3}{2}} \end{pmatrix}\begin{pmatrix}\sqrt{\frac{1+n_3}{2}} \\ \frac{1-n_3}{n-}\sqrt{\frac{1+n_3}{2}}\end{pmatrix}$$

squaring and matrix multiplication:

$$\sqrt{\frac{1+m_3+n_3+m_3n_3}{4}}(\frac{m_+n_- + 1 - m_3 - n_3 + m_3n_3}{m_+n_-}) x \sqrt{\frac{1+m_3+n_3+m_3n_3}{4}}(\frac{m_-n_+ + 1 - m_3 - n_3 + m_3n_3}{m_-n_+})$$

dot dot dot... lots of m's and n's and errors and going backwards to find where I got off ... i get

$$\frac{1}{4}(2+2m_1n1 + 2m_2n_2 + 2m33n_3 - 2m_3^2 -2n_3^2 + 2(m_3n_3)^2 -2m_3^2(m_3n_3)-2n_3^2(m_3n_3) + 2(m_3n_3)^3 - 2(m_1n_1m_3^2 - 2m_1n_1n_3^2 + 2m_1n_1(m_3n_3)^2-2m_2n_2m_3^2 -2m_2n_2n_3^2 + 2m_2n_2(m_3n_3)^2)$$

$$\frac{1}{2}( 1+\cos(\theta) -m_3^2 ( 1+\cos(\theta)) -n_3^2 ( 1+\cos(\theta) )+(m_3n_3)^2( 1+\cos(\theta)))$$

where I am hoping I am a step or so away (or I am there and just don't see it) to the result:
$$\frac{1}{2}(1+\cos(\theta))$$
 
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Sparky_ said:
$$\frac{1}{2}( 1+\cos(\theta) -m_3^2 ( 1+\cos(\theta)) -n_3^2 ( 1+\cos(\theta) )+(m_3n_3)^2( 1+\cos(\theta)))$$where I am hoping I am a step or so away (or I am there and just don't see it) to the result:
$$\frac{1}{2}(1+\cos(\theta))$$
If those two are equal, then ##m_3^2n_3^2 - m_3^2 - n_3^2 = 0##, which can't be true for all choices of ##m_3## and ##n_3##. So, you must have made a mistake.
 

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