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

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Homework Help Overview

The discussion revolves around the Taylor expansion of the volume expression \( V = 2\pi \sigma(\sqrt{R^2+a^2}-R \) for large values of \( R \). Participants are exploring how to approximate \( V \) as \( \frac{\pi a^2 \sigma}{R} \) under these conditions.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss developing a Maclaurin series for an expression in \( R \) that approaches zero as \( R \) increases. There are attempts to use binomial expansion and considerations of symmetry in the behavior of \( V \) with respect to \( R \) and \( a \).

Discussion Status

Some participants have offered insights into the use of Taylor series and binomial expansion, noting that both approaches yield similar results. There is recognition of the relationship between the parameters \( a \) and \( R \) and how they influence the expansion.

Contextual Notes

Participants mention the need to show convergence conditions for the Taylor series and discuss the implications of the expansion parameter \( a/R \) being small in both scenarios of large \( R \) or small \( a \).

quasar987
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[tex]V = 2\pi \sigma(\sqrt{R^2+a^2}-R)[/tex]

Show that for large R,

[tex]V \approx \frac{\pi a^2 \sigma}{R}[/tex]

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:
[tex]V = 2\pi \sigma(\sqrt{R^2+a^2}-R)[/tex]

Show that for large R,

[tex]V \approx \frac{\pi a^2 \sigma}{R}[/tex]

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:

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

The first two terms of the binomial epansion of [itex](1+a^2/R^2)^{1/2}[/itex] 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:

[tex]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}[/tex]
 
Last edited:
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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