Integrating to find surface area/volume of hemisphere

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Discussion Overview

The discussion revolves around the integration methods used to find the surface area and volume of a hemisphere with radius ##R##. Participants explore the differences in approaches for calculating surface area versus volume, particularly focusing on the implications of using rings and disks in their calculations. The conversation includes technical reasoning and mathematical considerations related to the geometry of the hemisphere.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant proposes that the surface area of a hemisphere can be calculated using rings of height ##Rd\theta## and radius ##Rcos(\theta)##, leading to a surface area expression of ##2\pi R^2##.
  • Another participant notes that when calculating volume using disks, a factor of ##cos(\theta)## is missed, suggesting that the edge of each disk cannot be 'slanted'.
  • There is a discussion about the edge region of disks/rings, where one participant states that the volume fraction approaches zero for thin disks, while the surface fraction does not.
  • A request for clarification is made regarding why the surface fraction does not go to zero while the volume does, with an interest in a more quantitative explanation.
  • One participant suggests that rigorous derivation is possible but requires more advanced mathematics to define smooth surfaces and integrals.
  • Another participant explains that using smaller disks reduces error in volume approximation, but the same cannot be said for surface area due to the tilt of the surface, which leads to underestimation.
  • There is a question about why using ##dV=Rd\theta## results in a slightly larger volume compared to using ##dV=Rcos(\theta)d\theta##, with a participant expressing confusion about this aspect.

Areas of Agreement / Disagreement

Participants express differing views on the appropriateness of using rings versus disks for calculating surface area and volume, with no consensus reached on the best approach or the implications of the differences noted.

Contextual Notes

The discussion includes assumptions about the geometry of the hemisphere and the behavior of surface and volume fractions, which may depend on the definitions and mathematical rigor applied. The implications of using different methods for integration remain unresolved.

user240
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To find the surface area of a hemisphere of radius ##R##, we can do so by summing up rings of height ##Rd\theta## (arc length) and radius ##r=Rcos(\theta)##. So the surface area is then ##S=\int_0^{\frac{\pi}{2}}2\pi (Rcos(\theta))Rd\theta=2\pi R^2\int_0^{\frac{\pi}{2}}cos(\theta)d\theta=2\pi R^2##.

However, to find the volume, if you were to use disks and of height to be ##Rd\theta##, you miss a factor of ##cos(\theta)##.. The edge of the each disk in this case cannot be 'slanted'.

My question is - why not? And why can we not use rings with a 'straight' edge like we do for disks when finding the surface area?
 
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The edge region of the disks/rings has a volume fraction that goes to zero for thin disks.

The fraction of the surface in this region doesn't go to zero - all the surface is this tilted region.
 
mfb said:
The edge region of the disks/rings has a volume fraction that goes to zero for thin disks.

The fraction of the surface in this region doesn't go to zero - all the surface is this tilted region.

Could you please explain/rephrase that part? I'm not sure I understand why it doesn't go to zero but the volume does (just so we're on the same page, you mean the blue part in the picture I attached, right?).

Can we show this rigorously or more quantitatively?

Also, why does using ##dV=Rd\theta## in the integral to find volume give a slightly larger result? Isn't it more 'better' to use this than ##dV=Rcos(\theta)d\theta##, which has 'gaps' (albeit, which go to zero)?
 

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user240 said:
Can we show this rigorously or more quantitatively?
It is possible to derive it rigorously, but that needs much more mathematics to define smooth surfaces, integrals on them and so on.

Compare the red part (the error of the finite disk approximation) to the white part (the correctly assigned volume) in the disks: it is tiny already. Now replace every disk by two disks with half the height. You reduce your error - by about a factor 2. Replace every new disk by 2 disks with half the new height. Again you reduce your error by a factor of about 2. In the limit of infinite disks, the error goes to zero. With the disk height ##\Delta h##, the disks have a volume of ##\pi (R \cos \theta)^2 \Delta h##. That expression now depends on both the angle and h, but thanks to ##h=R \sin\theta ## where h is the height above the center, we can write ##R^2 \cos^2 \theta = (R^2-h^2)##, and our volume expression simplifies to ##\pi (R^2-h^2) \Delta h##, which can be converted to an integral and solved.

Now try to repeat the same with the surface: If you would approximate the surface area corresponding to a disk by ##2 \pi \cos \theta \Delta h## with the disk height ##\Delta h##, you would only count the outer surfaces of the disks. But the actual surface is tilted - you underestimate the area by a factor given by the tilt (and only the tilt). Making the disks smaller does not help, because you get the same factor between estimate and the actual surface in every estimate no matter how small the disks get. That is not what we want. Instead of ##\Delta h##, we should use the actual length of the line segment: ##R \Delta \theta##. In the limit of infinitely small disks, this leads to the integral you have in post 1.
user240 said:
Also, why does using ##dV=Rd\theta## in the integral to find volume give a slightly larger result? Isn't it more 'better' to use this than ##dV=Rcos(\theta)d\theta##, which has 'gaps' (albeit, which go to zero)?
I don't understand that part of your post.
 

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