Cylinders

By changing our co-ordinate system using parametric surfaces we can represent other types of shapes more easily. Recall that if we want to represent a circle in cartesian co-ordinates we would have to use an implicit function, such as:

x2+y2=1

Such functions are very inconvenient to work with, because if we were to represent the function in terms of x or y it would have square roots in it, which can have either a positive or negative value.

y=1+x2

Instead, it is much easier to represent circular geometry using a polar co-ordinates in terms of r (the radius) and θ (the angle between 1 and 2π). Then we can can use a the following change of co-ordinates to express our circle:

x=rcos(θ)

y=rcos(θ)

Or the other way around:

r=x2+y2

theta=tan1(y/x)

So, converting from cartesian co-ordinates to polar co-ordinates, our circle is:

(r,θ)=(1,θ)

Representing our co-ordinate system in this way has important advantages. Since there are no square roots, it is a lot easier to take the integral of a circle and find its area:

02π01rdrdθ02π12r2dθπr2

This should look familiar!

We can now extend this to three dimensions to define a cylinder using cylindrical co-ordinates. Cylindrical co-ordinates are effective a cartesian extension of polar co-ordinates, so there is a radius,θ and az co-ordinate.

s(r,θ,z)

The translation from cylindrical to cartesian co-ordinates is as follows:

x=rcos(θ)

y=rcos(θ)

z=z

And from cartesian to cylindrical we have:

r=x2+y2

θ=tan1(yx)

z=z

For instance, a cylinder with height 1, and radius 2 is defined as:

s(r,θ,z)=(2,θ,1)

If we want to find the volume of a cylinder, we must use a triple integral as the input space has three parameters.

0102π02r×drdθdz

Note also that we need to apply a density correction which is the determinant of the Jacobian matrix for each component. In the case of a cylinder, that is r, as we have:

rcos2(θ)+rsin2(θ)=r

Finding the surface area of a cylinder requires us to find a parameterization in terms of two parameters. Because this cylinder has a constant radius, we can use a parameterization that keeps r constant.

s(u,v)=(2,2πv,u)

From there we can use the same approach to find the length of the normal vector at every point.

So from those points, we can find the surface area.