Rotation and Polarisation of Light using Jones Matrices

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The discussion centers on solving a problem involving the rotation and polarization of light using Jones matrices. The user successfully applies the rotation matrix but struggles with simplifying the resulting equation to find the angle θ. They express the equation in terms of a quadratic in tan(θ) but suspect a simpler solution exists. Another participant confirms the user's work and provides a clearer path to the solution, suggesting a relationship between sin(2θ) and cos(2θ) that leads to a simplified expression for θ. Additionally, they correct the terminology from "Jones matrix" to "Jones vector."
Mr_Allod
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Homework Statement
a) Rotate an arbitrary Jones matrix ##\vec J = \begin{bmatrix} A \\ Be^{i\delta} \end{bmatrix}## using ##R(-\theta)##
b) At a particular angle ##\theta## this rotation should result in an elliptically polarized wave of the form ##\begin{bmatrix} A' \\ iB' \end{bmatrix}## where the ##\hat x## and ##\hat y## components of this new Jones vector are orthogonal in the complex plane. Find this angle by computing the dot product of these components on an Argand Diagram and setting it equal to zero.
Relevant Equations
##R(-\theta) = \begin{bmatrix} \cos\theta && \sin\theta \\
-\sin\theta && \cos\theta \end{bmatrix}##
##e^{i\delta} = \cos\delta + i\sin\delta##
##\cos^2\theta - \sin^2\theta = \cos2\theta##
##\cos^2\theta + \sin^2\theta = 1##
##\sin\theta\cos\theta = \frac 1 2 \sin2\theta##
Hello there I am having trouble with part b) of this exercise. I can apply the rotation matrix easily enough and get:
$$
R(-\theta) \vec J= \begin{bmatrix} A\cos\theta + B\sin{\theta}e^{i\delta} \\
-A\sin\theta + B\cos{\theta}e^{i\delta} \end{bmatrix}
$$

I decided to convert the exponential into it's trigonometric components to make it easier to represent on an Argand Diagram:
$$
R(-\theta) \vec J= \begin{bmatrix} (A\cos\theta + B\sin\theta\cos\delta) + iB\sin\theta\sin\delta \\
(-A\sin\theta +B\cos\theta\cos\delta) + iB\cos\theta\sin\delta \end{bmatrix}
$$
Now I take the dot product of the real and imaginary components like so: $$(a\hat r +b\hat i) \cdot (c\hat r + d\hat i) = ac + db$$

Which gives me:
$$(A\cos\theta + B\sin\theta\cos\delta)(-A\sin\theta +B\cos\theta\cos\delta) + (B\sin\theta\sin\delta)(B\cos\theta\sin\delta)$$

And after multiplying out and using some trig. identities I can simplify it to:
$$-A^2\sin\theta\cos\theta + AB\cos2\theta\cos\delta + B^2\sin\theta\cos\theta$$
$$= \frac 1 2 \sin2\theta(B^2-A^2) + AB\cos2\theta\cos\delta = 0$$
From here the only thing I could thing of doing is expressing everything in terms of a quadratic of ##\tan\theta## and getting an answer for ##\theta## by taking the ##\tan^{-1}## of the roots. That of course gives two very complicated expressions in terms of ##A, B## and ##\cos\delta## and I have a suspicion the actual answer should be much neater. I wonder if there is some assumption I can make that would simplify it? Or is there some point earlier in the analysis where I can determine a value for ##\theta## just by visual inspection? If someone could help me with this I would appreciate it.
 
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Mr_Allod said:
$$\frac 1 2 \sin2\theta(B^2-A^2) + AB\cos2\theta\cos\delta = 0$$
Edits made.

Assuming your final equation is correct, you've done the hard part. You just hit a 'blind spot' for the final simple steps:
$$\sin2\theta(B^2-A^2) = -2AB\cos2\theta\cos\delta$$$$\tan2\theta=\frac {2AB\cos\delta}{(A^2-B^2) }$$$$\theta=\frac 1 2 \left[ \tan^{-1}\frac {2AB\cos\delta}{(A^2-B^2) } \right]$$Being a bit picky, I'll also note that the question describes ##\vec J## as a 'Jones matrix, but this should be 'Jones vector'.
 
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So is there some elegant way to do this or am I just supposed to follow my nose and sub the Taylor expansions for terms in the two boost matrices under the assumption ##v,w\ll 1##, then do three ugly matrix multiplications and get some horrifying kludge for ##R## and show that the product of ##R## and its transpose is the identity matrix with det(R)=1? Without loss of generality I made ##\mathbf{v}## point along the x-axis and since ##\mathbf{v}\cdot\mathbf{w} = 0## I set ##w_1 = 0## to...

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