Integrating to find surface area/volume of hemisphere

In summary, to find the surface area of a hemisphere of radius ##R##, one can sum up rings of height ##Rd\theta## and radius ##r=Rcos(\theta)##. This results in a surface area of ##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, when finding the volume using disks of height ##Rd\theta##, there is a factor of ##cos(\theta)## missing, and the edge of each disk cannot be slanted
  • #1
user240
5
0
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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  • #2
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.
 
  • #3
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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  • #4
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.
 

1. How do you integrate to find the surface area of a hemisphere?

To integrate to find the surface area of a hemisphere, first we need to understand the formula for surface area, which is 2πr². We can then use integration to sum up the infinitesimal areas of small circles on the surface of the hemisphere. The integral will be from 0 to r, where r is the radius of the hemisphere.

2. What is the difference between integrating for surface area and integrating for volume of a hemisphere?

The main difference between integrating for surface area and volume of a hemisphere is the formula used. For surface area, we use the formula 2πr² and integrate over the radius of the hemisphere. For volume, we use the formula (2/3)πr³ and integrate over the radius of the hemisphere. Additionally, the units of measurement for surface area is in square units, while the units for volume is in cubic units.

3. Can integration be used to find the surface area and volume of any hemisphere?

Yes, integration can be used to find the surface area and volume of any hemisphere, as long as we have the correct formula and limits of integration. The formulas for surface area and volume of a hemisphere are independent of the specific dimensions of the hemisphere, as long as it is a perfect half sphere.

4. How can we use integration to find the surface area and volume of a hemisphere in real-life applications?

Integration can be used in real-life applications to find the surface area and volume of a hemisphere in fields such as engineering, physics, and architecture. For example, when designing a dome-shaped structure, integration can be used to calculate the amount of material needed for the surface area and the volume of the hemisphere.

5. Are there any limitations to using integration to find the surface area and volume of a hemisphere?

One limitation of using integration to find the surface area and volume of a hemisphere is that it assumes the hemisphere is a perfect half sphere with a uniform radius. In reality, this may not always be the case and can lead to inaccurate results. Additionally, integration can be a complex and time-consuming process, especially for more complicated shapes. In such cases, other methods such as analytical geometry or numerical approximation may be more suitable for finding surface area and volume.

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