Accuracy of a gravitational force approximation

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Homework Help Overview

The discussion revolves around the gravitational force approximation for an object at a height above the Earth's surface, specifically focusing on the expression for gravitational force and its series expansion. Participants are examining the accuracy of approximating this force under certain conditions.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the series expansion of the gravitational force and question the validity of their approximations. They discuss the application of the Alternating Series Estimation Theorem to estimate the range of height for which the approximation holds within a specified error margin.

Discussion Status

Some participants have confirmed the correctness of the series expansion and are attempting to apply the Estimation Theorem. Others are seeking clarification on the application of the theorem in this context and are exploring different methods to estimate the height accurately.

Contextual Notes

There is a focus on the constraints of the problem, including the requirement to maintain an error margin of less than 1% and the specific values used for the radius of the Earth. Participants are also navigating the lack of examples in their textbooks that relate directly to their current problem.

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It seems to me that I've got part (a) right, but I'm not so sure about what I have in part (b). I just need to know whether or not I am on the right direction. Any help is highly appreciated. :smile:

Problem

The force due to gravity on an object with mass [tex]m[/tex] at a height [tex]h[/tex] above the surface of Earth is

[tex]F=\frac{mgR^2}{(R+h)^2}[/tex]

where [tex]R[/tex] is the radius of Earth and [tex]g[/tex] is the acceleration due to gravity.

(a) Express [tex]F[/tex] as a series of powers of [tex]h/r[/tex].

(b) Observe that if we approximate [tex]F[/tex] by the first term in the series, we get the expression [tex]F\approx mg[/tex] that is usually used when [tex]h[/tex] is much smaller than [tex]R[/tex]. Use the Alternating Series Estimation Theorem to estimate the range of values of [tex]h[/tex] for which the approximation [tex]F \approx mg[/tex] is accurate within 1%. (Use [tex]R = 6400 \mbox{ km}[/tex]).

My work

(a)

[tex](R+h) ^{-2} = \frac{1}{R^2} \left( 1 + \frac{h}{R} \right) ^{-2}[/tex]
[tex](R+h) ^{-2} = \frac{1}{R^2} \sum _{n=0} ^{\infty} \binom{-2}{n} \left( \frac{h}{R} \right) ^n[/tex]
[tex](R+h) ^{-2} = \frac{1}{R^2} \left[ 1 + \frac{(-2)}{1!} \frac{h}{R} + \frac{(-2)(-3)}{2!} \left( \frac{h}{R} \right) ^2 + \dotsb \right][/tex]
[tex](R+h) ^{-2} = \frac{1}{R^2} \left[ 1 -2\frac{h}{R} + 3\left( \frac{h}{R} \right) ^2 - 4\left( \frac{h}{R} \right) ^3 + \dotsb \right][/tex]
[tex](R+h) ^{-2} = \frac{1}{R^2} \sum _{n=0} ^{\infty} (n+1) \left( -\frac{h}{R} \right) ^n \Longrightarrow F = mg \sum _{n=0} ^{\infty} (n+1) \left( -\frac{h}{R} \right) ^n[/tex]

(b)

The value of [tex]mg[/tex] doesn't seem to matter here. So, I consider just the terms in the series. It seems to me that the easiest way to go is to plot

[tex]\left| 1 - \sum _{n=0} ^{N} (n+1) \left( -\frac{h}{R} \right) ^n \right|[/tex]

I've tried this with:

[tex]N=1000[/tex]
Domain: [tex][0,37 \times 10^3][/tex]
Range: [tex][0,0.01][/tex].

It gives a reasonable picture to estimate that [tex]h \leq 37 \times 10^3 \mbox{ m}[/tex]. Is there a better way to find this? Am I on the right path at all?

Thank you
 
Last edited:
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(a) looks fine.
For (b) you are required to use the Estimation Theorem for Alternating Series. For an alternating series with decreasing terms that converge to 0 for large n :

[tex]|S_{\infty} - S_n| \leq t_{n+1}[/tex]
 
I have a question. I can't find an example in my textbook of the Alternating Series Estimation Theorem in a similar context. I know how to apply it in

[tex]e = \sum _{n=0} ^{\infty} \frac{1}{n!} \Longrightarrow t_{n+1} =\frac{1}{(n+1)!} < \left| \mbox{error} \right|[/tex]

but not really in

[tex]e^x = \sum _{n=0} ^{\infty} \frac{x^n}{n!} \Longrightarrow ? < \left| \mbox{error} \right|[/tex]

Which of the following is correct?

[tex]t_{n+1} = (n+2) \left( \frac{h}{R} \right) ^{n+1} < 10^{-2} = \left| \mbox{error} \right| \quad (1)[/tex]

[tex]t_{n+1} = (n+2) \left( \frac{1}{R} \right) ^{n+1} < 10^{-2} = \left| \mbox{error} \right| \quad (2)[/tex]

I'm just a bit confused. :smile:

Thanks
 
This one : (the other is dimensionally incorrect)

[tex]t_{n+1} = (n+2) \left( \frac{h}{R} \right) ^{n+1} < 10^{-2} = \left| \mbox{error} \right| \quad (1)[/tex]
 
Ok. Now, we have an inequality and two unknowns---namely, n and h. What kind of trick is then required so that I am able to estimate h properly? I think it involves plotting, but I'm not sure how---for the very same reason. :confused:
 
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I've just seen my problem in a different way, and it seems to work.

From part (a), we have:

[tex]F = mg \left[ 1 - 2\left( \frac{h}{R} \right) + 3\left( \frac{h}{R} \right) ^2 - \dotsb \right][/tex]

Applying the Alternating Series Estimation Theorem gives:

[tex]b_{n+1} = 2 \frac{h}{R} \leq 10 ^{-2} \Longrightarrow h \leq 32 \mbox{ km}[/tex]

which can be visually verified with the aid of a plot.
 
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