Rotation and Polarisation of Light using Jones Matrices

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SUMMARY

The discussion focuses on the application of Jones matrices in the context of light rotation and polarization. The user successfully derives the rotation matrix for a Jones vector, leading to a complex expression involving trigonometric identities. The final equation simplifies to a condition for determining the angle theta, represented as $$\theta=\frac 1 2 \left[ \tan^{-1}\frac {2AB\cos\delta}{(A^2-B^2) } \right]$$. A correction is noted regarding the terminology, clarifying that ##\vec J## should be referred to as a 'Jones vector' rather than a 'Jones matrix'.

PREREQUISITES
  • Understanding of Jones vectors and matrices in optics
  • Familiarity with trigonometric identities and their applications
  • Knowledge of complex numbers and their representation on the Argand diagram
  • Basic skills in solving quadratic equations and using inverse tangent functions
NEXT STEPS
  • Study the derivation and applications of Jones vectors in polarization optics
  • Learn about the implications of the Jones calculus in optical systems
  • Explore advanced trigonometric identities relevant to wave optics
  • Investigate the relationship between polarization states and their mathematical representations
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Students and professionals in optics, physicists studying light behavior, and anyone interested in the mathematical modeling of polarization phenomena using Jones vectors.

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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