Effective refractive index of a stratified medium

AI Thread Summary
The discussion focuses on deriving the effective refractive index equation for a stratified medium consisting of silica glass and air. The original paper provides a formula for the effective permittivity, but the user struggles to replicate the results using their experimental values and the derived coefficients. They attempt to follow the paper's derivation but encounter discrepancies when substituting values into the equation for effective permittivity. Suggestions include expanding the tangent function differently and considering numerical solutions due to the limitations of the analytical approach at higher frequencies. The conversation emphasizes the importance of ensuring that the conditions for the approximations hold true in practical applications.
AwesomeTrains
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Hello PF,
I'm reading a paper for a project. In the paper they derive an equation for the effective refractive index ##n=\sqrt{\epsilon^{e} \mu^{e}}## of two stacked layers ##(n_1^2 = \epsilon_1 \mu_1, a)## and ##(n_2^2 = \epsilon_2 \mu_2, b)## where ##a,b## are the lengths and in my case ##\mu_1=\mu_2=1##. One material is silica glass the other is air.

So using Maxwell's equations they derive this equation for ##n##: $$\frac{\alpha_2}{\mu_2} \tan\left(\frac{b\alpha_2}{2}\right)=\frac{\alpha_1}{\mu_1} \tan\left(\frac{a\alpha_1}{2}\right)$$
where ##\alpha_i=k\sqrt{n_i^2-n^2}=k\sqrt{\epsilon_i-\epsilon^{e}}##.
(I have attached a picture showing the setting used for the derivation.)

But since it can not be solved analytically they do the expansion ##tan(x) \approx x + \frac{1}{3}x^3## and get this: $$ \epsilon^e = \frac{a\epsilon_1+b\epsilon_2}{a+b} + \frac{k^2b^2a^2}{12(a+b)^2}(\epsilon_1-\epsilon_2)^2$$

Homework Statement


I'm trying to retrace the steps to get the equation for ##\epsilon^{e}## to then be able to expand it to third order. ##(\tan(x) \approx x+\frac{1}{3} x^3 + \frac{2}{15}x^5)##

Homework Equations


##\epsilon^{e}_{1,2} = \frac{-a_1\pm\sqrt D}{2a_0}, D=a_1^2-4a_0a_2##

The Attempt at a Solution


When I do the second order expansion, as in the paper, I get the coefficients for the equation ##a_0x^2+a_1x+a_2=0## to be:
##a_0 = \frac{k^2 (b^3+a^3)}{12}##
##a_1 = -(b+a) - \frac{1}{12} 2k^2 (\epsilon_2 b^3+\epsilon_1 a^3)##
## a_2 = \epsilon_1 a + \epsilon_2 b + \frac{1}{12} k^2 (\epsilon_1^2 a^3 + \epsilon_2^2 b^3)##

But when I put in the values from the experiment:
## a = 92\cdot10^{-6} m , b = 58\cdot10^{-6} m, 1400 GHz, \epsilon_1 = 1 F/m, \epsilon_2 = 3.75 F/m## and solve the equation for ##\epsilon^{e}_{1,2}##.
I am not getting the same result as if I would use the equation derived in the paper. And I can't seem to figure out how to reduce the expression, I get when substituting the coefficients into ##\epsilon^{e}_{1,2} = \frac{-a_1\pm\sqrt D}{2a_0}, D=a_1^2-4a_0a_2##, to the equation given in the paper.

I have attached the paper as well in case there is something missing in my post.
To summarize: How is the equation for ## \epsilon^e ## derived? Because I seem to be getting wrong results :olduhh:
 

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AwesomeTrains said:
Hello PF,
I'm reading a paper for a project. In the paper they derive an equation for the effective refractive index ##n=\sqrt{\epsilon^{e} \mu^{e}}## of two stacked layers ##(n_1^2 = \epsilon_1 \mu_1, a)## and ##(n_2^2 = \epsilon_2 \mu_2, b)## where ##a,b## are the lengths and in my case ##\mu_1=\mu_2=1##. One material is silica glass the other is air.

So using Maxwell's equations they derive this equation for ##n##: $$\frac{\alpha_2}{\mu_2} \tan\left(\frac{b\alpha_2}{2}\right)=\frac{\alpha_1}{\mu_1} \tan\left(\frac{a\alpha_1}{2}\right)$$
where ##\alpha_i=k\sqrt{n_i^2-n^2}=k\sqrt{\epsilon_i-\epsilon^{e}}##.
(I have attached a picture showing the setting used for the derivation.)

But since it can not be solved analytically they do the expansion ##tan(x) \approx x + \frac{1}{3}x^3## and get this: $$ \epsilon^e = \frac{a\epsilon_1+b\epsilon_2}{a+b} + \frac{k^2b^2a^2}{12(a+b)^2}(\epsilon_1-\epsilon_2)^2$$

Homework Statement


I'm trying to retrace the steps to get the equation for ##\epsilon^{e}## to then be able to expand it to third order. ##(\tan(x) \approx x+\frac{1}{3} x^3 + \frac{2}{15}x^5)##

Homework Equations


##\epsilon^{e}_{1,2} = \frac{-a_1\pm\sqrt D}{2a_0}, D=a_1^2-4a_0a_2##

The Attempt at a Solution


When I do the second order expansion, as in the paper, I get the coefficients for the equation ##a_0x^2+a_1x+a_2=0## to be:
##a_0 = \frac{k^2 (b^3+a^3)}{12}##
##a_1 = -(b+a) - \frac{1}{12} 2k^2 (\epsilon_2 b^3+\epsilon_1 a^3)##
## a_2 = \epsilon_1 a + \epsilon_2 b + \frac{1}{12} k^2 (\epsilon_1^2 a^3 + \epsilon_2^2 b^3)##
I am trying to follow your calculation but am having a hard time. What does your x stand for? You talk about Taylor expanding the tangent but the arguments on both tangent are different so I don't know what your x stands for here.
 
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nrqed said:
I am trying to follow your calculation but am having a hard time. What does your x stand for? You talk about Taylor expanding the tangent but the arguments on both tangent are different so I don't know what your x stands for here.

Here's my derivation: (I missed the minus sign in the original post)
##
\frac{\alpha_2}{\mu_2} \tan\left(\frac{b\alpha_2}{2}\right)=-\frac{\alpha_1}{\mu_1} \tan\left(\frac{a\alpha_1}{2}\right)
##
First I expand the tangents on both sides:
##
\frac{\alpha_2}{\mu_2}\left(\frac{b\alpha_2}{2}+\frac{1}{3}\left(\frac{b\alpha_2}{2}\right)^3\right)=-\frac{\alpha_1}{\mu_1}\left(\frac{a\alpha_1}{2}+\frac{1}{3}\left(\frac{a\alpha_1}{2}\right)^3\right)
##
Using the definition of ##\alpha_i=k\sqrt{\epsilon_i-n^2}=k\sqrt{\epsilon_i-\epsilon^{e}}## from the paper and setting ##\mu_1=\mu_2=1##:
##
b(\epsilon_2 -n^2) + \frac{1}{12} k^2b^3(\epsilon_2-n^2)^2=-a(\epsilon_1-n^2)-\frac{1}{12}k^2(\epsilon_1-n^2)^2a^3
##
Since ##n^2=\epsilon^e## and after ordering the terms according to the exponent of ##\epsilon^e## I get:
##
\frac{1}{12}k^2 (b^3+a^3){\epsilon^e }^2
-(b+a + \frac{1}{12} 2k^2 (\epsilon_2 b^3+\epsilon_1 a^3) )\epsilon^e +
(\epsilon_1 a + \epsilon_2 b + \frac{1}{12} k^2 (\epsilon_1^2 a^3 + \epsilon_2^2 b^3)) = 0
##

According to the section I attached a screenshot of from the paper this should be how the derivation is done.

But when I then substitute the values given in the OP and solve for ##\epsilon^e## I am not getting the same result as if I substitute them into ##
\epsilon^e = \frac{a\epsilon_1+b\epsilon_2}{a+b} + \frac{k^2b^2a^2}{12(a+b)^2}(\epsilon_1-\epsilon_2)^2
##
 

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I don't think you should expand only the tangent. You have expressions that look like ##\alpha_i \tan\left(\frac{b\alpha_i}{2}\right)##. You should be expanding ##x\tan(cx)##. Note that this is an even function, so there are no odd order terms. It might be easier to do it this way and go up to sixth order for what you want to do.

On edit: I redid the algebra and I agree with your coefficients ##a_0,~a_1~##and ##a_2##. Now as you know these are the coefficients of a quadratic. The solution that is presented is probably an additional approximation to the exact solution of the quadratic because the quadratic does not look like a perfect square, so where is the radical? However, I am not sure I understand the physics of the situation well enough to figure out what the appropriate approximation is.
 
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AwesomeTrains said:
##
\frac{1}{12}k^2 (b^3+a^3){\epsilon^e }^2
-(b+a + \frac{1}{12} 2k^2 (\epsilon_2 b^3+\epsilon_1 a^3) )\epsilon^e +
(\epsilon_1 a + \epsilon_2 b + \frac{1}{12} k^2 (\epsilon_1^2 a^3 + \epsilon_2^2 b^3)) = 0
##

##
\epsilon^e = \frac{a\epsilon_1+b\epsilon_2}{a+b} + \frac{k^2b^2a^2}{12(a+b)^2}(\epsilon_1-\epsilon_2)^2
##

These equations are approximations that hold only if ##|\alpha_1 a| \ll 1## and ##|\alpha_2 b| \ll 1##. See the comments just above equation (20) in the paper. But your data doesn't appear to meet these conditions.
 
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I ended up solving the equation numerically which gave me a pretty good fit to the measured values. The numerical solution works until approximately 500 GHz which is where the conditions from post #5 aren't holding anymore, so that is probably the explanation and then expanding to third order would probably not improve the result.
Anyways thanks for the help :approve:
 
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