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Calculus III - 3-Dimensional Space: Equations of Lines

In this section we need to take a look at the equation of a line in  R 3 R 3 . As we saw in the previous section the equation  y = m x + b y = m x + b  does not describe a line in  R 3 R 3 , instead it describes a plane. This doesn’t mean however that we can’t write down an equation for a line in 3-D space. We’re just going to need a new way of writing down the equation of a curve. So, before we get into the equations of lines we first need to briefly look at vector functions. We’re going to take a more in depth look at vector functions later. At this point all that we need to worry about is notational issues and how they can be used to give the equation of a curve. The best way to get an idea of what a vector function is and what its graph looks like is to look at an example. So, consider the following vector function. → r ( t ) = ⟨ t , 1 ⟩ r → ( t ) = ⟨ t , 1 ⟩ A vector function is a function that takes one or more variables, one in this case, and returns a vector. Note as we

Differential Equations - Fourier Series: Cosine - i

In this section we’re going to take a look at Fourier cosine series. We’ll start off much as we did in the previous section where we looked at Fourier sine series. Let’s start by assuming that the function, 
f(x), we’ll be working with initially is an even function (i.e. f(x)=f(x)) and that we want to write a series representation for this function on LxL in terms of cosines (which are also even). In other words, we are going to look for the following,
f(x)=n=0Ancos(nπxL)
This series is called a Fourier cosine series and note that in this case (unlike with Fourier sine series) we’re able to start the series representation at n=0 since that term will not be zero as it was with sines. Also, as with Fourier Sine series, the argument of nπxL in the cosines is being used only because it is the argument that we’ll be running into in the next chapter. The only real requirement here is that the given set of functions we’re using be orthogonal on the interval we’re working on.
Note as well that we’re assuming that the series will in fact converge to f(x) on LxL at this point. In a later section we’ll be looking into the convergence of this series in more detail.
So, to determine a formula for the coefficients, An, we’ll use the fact that {cos(nπxL)}n=0 do form an orthogonal set on the interval LxL as we showed in a previous section. In that section we also derived the following formula that we’ll need in a bit.
LLcos(nπxL)cos(mπxL)dx={2Lif n=m=0Lif n=m00if nm
We’ll get a formula for the coefficients in almost exactly the same fashion that we did in the previous section. We’ll start with the representation above and multiply both sides by cos(mπxL) where m is a fixed integer in the range {0,1,2,3,}. Doing this gives,
f(x)cos(mπxL)=n=0Ancos(nπxL)cos(mπxL)
Next, we integrate both sides from x=L to x=L and as we were able to do with the Fourier Sine series we can again interchange the integral and the series.
LLf(x)cos(mπxL)dx=LLn=0Ancos(nπxL)cos(mπxL)dx=n=0AnLLcos(nπxL)cos(mπxL)dx
We now know that the all of the integrals on the right side will be zero except when n=m because the set of cosines form an orthogonal set on the interval LxL. However, we need to be careful about the value of m (or ndepending on the letter you want to use). So, after evaluating all of the integrals we arrive at the following set of formulas for the coefficients.
m=0:LLf(x)dx=A0(2L)A0=12LLLf(x)dxm0:LLf(x)cos(mπxL)dx=Am(L)Am=1LLLf(x)cos(mπxL)dx
Summarizing everything up then, the Fourier cosine series of an even function, f(x) on LxL is given by,
f(x)=n=0Ancos(nπxL)An={12LLLf(x)dxn=01LLLf(x)cos(nπxL)dxn0
Finally, before we work an example, let’s notice that because both f(x) and the cosines are even the integrand in both of the integrals above is even and so we can write the formulas for the An’s as follows,
An={1L0Lf(x)dxn=02L0Lf(x)cos(nπxL)dxn0
Now let’s take a look at an example.


Example 1 Find the Fourier cosine series for f(x)=x2 on LxL.

We clearly have an even function here and so all we really need to do is compute the coefficients and they are liable to be a little messy because we’ll need to do integration by parts twice. We’ll leave most of the actual integration details to you to verify.
A0=1L0Lf(x)dx=1L0Lx2dx=1L(L33)=L23An=2L0Lf(x)cos(nπxL)dx=2L0Lx2cos(nπxL)dx=2L(Ln3π3)(2Lnπxcos(nπxL)+(n2π2x22L2)sin(nπxL))|0L=2n3π3(2L2nπcos(nπ)+(n2π2L22L2)sin(nπ))=4L2(1)nn2π2n=1,2,3,The coefficients are then,
A0=L23An=4L2(1)nn2π2,n=1,2,3,The Fourier cosine series is then,
x2=n=0Ancos(nπxL)=A0+n=1Ancos(nπxL)=L23+n=14L2(1)nn2π2cos(nπxL)Note that we’ll often strip out the n=0 from the series as we’ve done here because it will almost always be different from the other coefficients and it allows us to actually plug the coefficients into the series.

Now, just as we did in the previous section let’s ask what we need to do in order to find the Fourier cosine series of a function that is not even. As with Fourier sine series when we make this change we’ll need to move onto the interval 0xL now instead of LxL and again we’ll assume that the series will converge to f(x) at this point and leave the discussion of the convergence of this series to a later section.

We could go through the work to find the coefficients here twice as we did with Fourier sine series, however there’s no real reason to. So, while we could redo all the work above to get formulas for the coefficients let’s instead go straight to the second method of finding the coefficients.

In this case, before we actually proceed with this we’ll need to define the even extension of a function, f(x) on LxL. So, given a function f(x) we’ll define the even extension of the function as,
g(x)={f(x)if 0xLf(x)if Lx0
Showing that this is an even function is simple enough.
g(x)=f((x))=f(x)=g(x)for 0<x<L
and we can see that g(x)=f(x) on 0xL and if f(x) is already an even function we get g(x)=f(x) on LxL.
Let’s take a look at some functions and sketch the even extensions for the functions.

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