Taylor Expansion for Large R: Showing V Approximates $\frac{\pi a^2 \sigma}{R}$

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For large R, the volume V can be approximated as V ≈ (πa²σ)/R. The discussion revolves around using Taylor expansion and binomial expansion to derive this approximation. The key insight is that the parameter a/R is small, which allows for similar behavior in the function regardless of whether a is small or R is large. Participants noted that both methods of expansion lead to the same terms, highlighting a symmetry in the function's behavior. This understanding clarifies the conditions under which the approximation holds true.
quasar987
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V = 2\pi \sigma(\sqrt{R^2+a^2}-R)

Show that for large R,

V \approx \frac{\pi a^2 \sigma}{R}

I figured if I could develop the MacLaurin serie with respect to an expression in R such that when R is very large, this expression is near zero, then the first 1 or 2 terms should be a fairly good aproximation. But I can't find such an expression.

Thanks for your help.
 
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quasar987 said:
V = 2\pi \sigma(\sqrt{R^2+a^2}-R)

Show that for large R,

V \approx \frac{\pi a^2 \sigma}{R}

I figured if I could develop the MacLaurin serie with respect to an expression in R such that when R is very large, this expression is near zero, then the first 1 or 2 terms should be a fairly good aproximation. But I can't find such an expression.

Thanks for your help.

The given expression approaches zero for large R.

I get the given answer, if you find the Taylor series with respect to a. The first derivative term is 0, and the second derivative term is the answer. I think for a rigorous answer, you'll have to show that the condition for convergence is satisfied...
 
I did a few similar exercices since my original post and now I clearly see how to do this one:

V = 2\pi \sigma(\sqrt{R^2+a^2}-R) = 2\pi \sigma R(\sqrt{1+a^2/R^2}-1)

The first two terms of the binomial epansion of (1+a^2/R^2)^{1/2} give the answer.
 
It's funny how your way works too though... it means there's no difference in how V "behaves" when it's R that's very large from when it's a that's very near 0. :eek: Is this pure coincidence? In which kind of function will this sort of symetry happen ?
 
quasar987 said:
It's funny how your way works too though... it means there's no difference in how V "behaves" when it's R that's very large from when it's a that's very near 0. :eek: Is this pure coincidence? In which kind of function will this sort of symetry happen ?

Not coincidence... I believe it's the same Taylor expansion. If each of us continued our expansion we'd get the same terms.
 
quasar987 said:
It's funny how your way works too though... it means there's no difference in how V "behaves" when it's R that's very large from when it's a that's very near 0. :eek: Is this pure coincidence? In which kind of function will this sort of symetry happen ?
The proper expansion parameter is a/R; hence, it doesn't matter whether a is small or R big. In both cases, a/R is small.
This is readily seen by rewriting V as:

V=\frac{2\pi\sigma{a}^{2}}{R(1+\sqrt{1+(\frac{a}{R})^{2}})}=2\pi\sigma{a}\frac{\epsilon}{\sqrt{1+\epsilon^{2}}},\epsilon=\frac{a}{R}
 
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arildno said:
The proper expansion parameter is a/R; hence, it doesn't matter whether a is small or R big. In both cases, a/R is small.

...I see !
 
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