Solving for a variable in an equation with fractional powers

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SUMMARY

The discussion focuses on solving the equation involving fractional powers: $$1-\frac{8}{(\pi k_B T)^2}\mu^\frac12(\epsilon^\frac32-\mu^\frac32)=0$$. Participants suggest setting $$\mu^{\frac{1}{2}}=\nu$$ to simplify the equation into a polynomial form, which may be solvable. A cubic equation is derived, leading to the approximation $$\mu_{+} \approx \epsilon\left( 1 - \frac{\pi^2}{12} \left( \frac{T}{T_f} \right)^2 \right)$$. The conversation emphasizes the importance of making simplifications at the end of the process to avoid complications.

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archaic
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Homework Statement
$$\epsilon^\frac32=\mu^\frac32+\frac{\left(\pi k_B T\right)^2}{8}\frac1{\mu^\frac12}$$
I am given that ##\epsilon\approx\mu## and ##(1+x)^\alpha\approx1+\alpha x## when ##x\to0##.
Relevant Equations
##(1+x)^\alpha\approx1+\alpha x## when ##x\to0##
I have tried manipulating this to
$$1-\frac{8}{(\pi k_B T)^2}\mu^\frac12(\epsilon^\frac32-\mu^\frac32)=0\Leftrightarrow\left[1+\mu^\frac12(\epsilon^\frac32-\mu^\frac32)\right]^{-\frac{8}{(\pi k_B T)^2}}=0$$
but this doesn't seem to lead anywhere.
any hints please?

the solution is one of these ##T_f=\epsilon/k_B##:
tETTp.png
 
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If you set ##\mu^{\frac{1}{2}}=\nu## for convenience, and multiply the equation with ##\nu## then you have a polynomial equation which may be solvable. The exponent in your formula is wrong.
 
fresh_42 said:
If you set ##\mu^{\frac{1}{2}}=\nu## for convenience, and multiply the equation with ##\nu## then you have a polynomial equation which may be solvable. The exponent in your formula is wrong.
I don't think so. I tried that with wolfram, but the result was very bad.
how so?
 
archaic said:
I don't think so. I tried that with wolfram, but the result was very bad.
how so?
It's always best to make simplifications at the very last. So multiplying with ##\mu^{\frac{1}{2}}## results in
$$
0=\mu^{\frac{1}{2}}\cdot \left(\mu^{\frac{3}{2}}-\varepsilon^{\frac{3}{2}}\right) +\dfrac{\left(\pi k_B T\right)^2}{8}=\mu^{\frac{1}{2}}\cdot\left(\mu+\mu^{\frac{1}{2}}\varepsilon^{\frac{1}{2}}+\varepsilon \right)\cdot\left(\mu^{\frac{1}{2}}-\varepsilon^{\frac{1}{2}}\right)+\dfrac{\left(\pi k_B T\right)^2}{8}
$$
What if you now start to apply the hints? But I don't see how we can deal with ##\mu^{\frac{1}{2}}-\varepsilon^{\frac{1}{2}}##.
 
Last edited:
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Here's a quick-ish and dirty way, just making use of ##\epsilon \approx \mu##. Since ##\epsilon^\frac32 = \mu^\frac32+\frac{\left(\pi k_B T\right)^2}{8\mu^\frac12}## you have ##\epsilon^3 = \left( \mu^\frac32+\frac{\left(\pi k_B T\right)^2}{8\mu^\frac12} \right)^2 \approx \mu^3 \left( 1 + \frac{\left(\pi k_B T\right)^2}{4\mu^2} \right)##. This is a cubic ##

\mu^3 + \frac{\left(\pi k_B T\right)^2}{4} \mu - \epsilon^3 \approx 0

##. But ##\mu^3 - \epsilon^3 = (\mu - \epsilon)(\mu^2 + \mu \epsilon + \epsilon^2) \approx 3\mu^2 (\mu - \epsilon)## and so ##\mu^2 - \epsilon \mu + \frac{\left(\pi k_B T\right)^2}{12} \approx 0## and \begin{align*}

\mu_{+} \approx \frac{\epsilon + \sqrt{\epsilon^2 - \frac{\left(\pi k_B T\right)^2}{3}} }{2} \approx \epsilon\left( 1 -\frac{\left(\pi k_B T\right)^2}{12 \epsilon^2} \right) = \epsilon\left( 1 - \frac{\pi^2}{12} \left( \frac{T}{T_f} \right)^2 \right)

\end{align*}
 
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thank you! never mind my other message.
 
I rewrote the equation as ##x^3=y^3+c/y## and substituted ##y=x(1-\alpha)##. Discarding ##\alpha^2## etc. this gives ##y=x(1-\frac c{3x^4-c})##. This does not seem to match any of the choices.
 
haruspex said:
I rewrote the equation as ##x^3=y^3+c/y## and substituted ##y=x(1-\alpha)##. Discarding ##\alpha^2## etc. this gives ##y=x(1-\frac c{3x^4-c})##. This does not seem to match any of the choices.
a more formal way to find the result is to write$$\epsilon^\frac32\mu^\frac12-\mu^2-\frac{\left(\pi k_B T\right)^2}{8}=0$$$$f(x)=\epsilon^\frac32x^\frac12-x^2-\frac{\left(\pi k_B T\right)^2}{8}$$and compute the taylor expansion about ##x=\epsilon##. since ##\epsilon\approx\mu##, we ignore higher order terms.$$-\frac{\left(\pi k_B T\right)^2}{8}-\frac{3\epsilon}{2}\left(\mu-\epsilon\right)=0$$
 

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