Helpful Revision for Fourier Series

This page contains some background information that will help you to better understand this chapter on Fourier Series.

You have seen most of this before, but I have included it here to give you some help before getting into the heavy stuff.

Properties of Sine and Cosine Functions

These properties can simplify the integrations that we will perform later in this chapter.

The Cosine Function

The function `f(x) = cos x` is an even function. That is, it is symmetrical about the vertical axis.

We have: `cos(-x) = cos(x)`, and it follows that

`int_(-pi)^picos theta\ d theta=0`

We can see the integral must be `0` if we consider the curve of `y = cos(x)` for `x=-pi` to `x=pi`.

The yellow "negative" portions of the graph when added to the green "positive" portion cancel each other out. They add to zero.

The Sine Function

The function `f(x) = sin x` is an odd function. That is, it is symmetrical about the origin.

We have: `sin(-x) = -sin(x)`, and

`int_(-pi)^pi sin theta\ d theta=0`

Once again, a consideration of the areas under the graph illustrates why it is so.

Once again, the yellow negative portion is the same size as the green positive portion, so the sum is 0.

Multiples of π for Sine and Cosine Curves

Consider the function `y = sin x`.

Revision

For some background:

Sine and cosine curves

From the graph (or using our calculator), we can observe that:

`sin(nπ) = 0` for n = 0, 1, 2, 3, ... (in fact, all integers)
`sin{:((2n-1)pi)/2:}=(-1)^(n+1` for n = 0, 1, 2, 3, ... (in fact, all integers)

Cosine case

Next, we consider the curve y = cos x

`cos(2nπ) = 1` for n = 0, 1, 2, 3, ... (in fact, all integers)
`cos[(2n − 1)π] = −1` for n = 0, 1, 2, 3, ... (in fact, all integers)
`cos(nπ) = (−1)^n` for n = 0, 1, 2, 3, ... (in fact, all integers)

Periodic Functions

A function `f(t)` is said to be periodic with period p if

`f(t + p) = f(t)`

for all values of t and if `p > 0`.

The period of the function `f(t)` is the interval between two successive repetitions.

Examples of Periodic Functions

1a. `f(t) = sin t`

π −π 1 -1 t f(t)
p = 2π

The curve `y=sin(x)`, which has period `= 2pi`

"Sine graph showing one period">

Useful Background

Sine and cosine curves

For `f(t) = sin t`, we have: `f(t) = f(t + 2π)`. The period is 2π.

1b. Saw tooth waveform, period `= 2`

1 2 3 4 5 -1 -2 -3 1 2 3 -1 -2 -3 t f(t)
p = 2

Graph of saw-tooth waveform with period `2`

Useful background

Straight lines

For this function, we have:

`f(t) = 3t` (for −1 ≤ t < 1)

`f(t) = f(t + 2)` [This expression indicates it is periodic with period `2`.]

1c. Parabolic, period `= 2`

1 2 3 4 5 -1 -2 -3 -4 1 2 3 4 5 t f(t)
p = 2

Periodic graph based on parabola, with period `2`.

Useful background

Parabolas

For this function, we have:

`f(t) = t^2` (for `0 ≤ t < 2`)

`f(t) = f(t + 2)` [Indicating it is periodic with period 2.]

1d. Square wave, period = 4

1 2 3 4 5 6 -1 -2 -3 1 2 3 4 -1 -2 -3 t f(t)
p = 4

Graph of periodic square wave function.

For this function, we have:

`f(t) = -3` for `-1 ≤ t < 1` and `3` for `1 ≤ t < 3`

`f(t) = f(t + 4)` [The period is 4.]

NOTE: In this example, the period `p = 4`. We can write this as `2L = 4`.

In the diagram we are thinking of one cycle starting at ` −2` and finishing at `2`. For convenience when integrating later, we let `L = 2` and the cycle goes from `-L` to `L`.

Continuity

If a graph of a function has no sudden jumps or breaks, it is called a continuous function.

Examples:

  • sine functions
  • cosine functions
  • exponential functions
  • parabolic functions

Finite discontinuity - a function makes a finite jump at some point or points in the interval.

Examples:

  • Square wave function
  • Saw tooth functions

Split Functions

Much of the behaviour of current, charge and voltage in an AC circuit can be described using split functions.

Examples of Split Functions

Sketch the following functions:

Useful Background

Split Functions
Straight lines

2a. `f(t)=\begin{cases} -t & \text{if} & -\pi \le t < 0 \\ t & \text{if} & 0 \le t < \pi\end{cases}`

2b. `f(t)=\begin{cases} t & \text{if} & 0 \le t < \pi \\ t-\pi & \text{if} & \pi \le t < 2\pi\end{cases}`

Useful Background

Parabolas

2c. `f(t)=\begin{cases} (t+\pi)^2 & \text{if} & -\pi \le t < 0 \\ (t-\pi)^2 & \text{if} & 0 \le t < \pi\end{cases}`

2d. `f(t)=\begin{cases} t+\pi & \text{if} & -\pi \le t < -\frac{\pi}{2} \\ -1 & \text{if} & -\frac{\pi}{2} \le t < \frac{\pi}{2} \\ -t+\pi & \text{if} & \frac{\pi}{2} \le t < \pi\end{cases}`

Summation Notation

It is important to understand summation notation when dealing with Fourier series.

Examples

Expand the following and simplify where possible:

3a. `sum_(n=1)^3n/(n+1)`

3b. `sum_(n=1)^5(2n-1)`

3c. `sum_(n=1)^5n^2a_n`

3d. `sum_(n=1)^4(npit)/L`

Some Useful Integrals

The next 2 integrals are obtained from integration by parts and can be found in the Table of Common Integrals. We use them quite a bit in this Fourier Series chapter.

`int t\ sin nt\ dt=1/n^2(sin nt-nt\ cos nt)`

`int t\ cos nt\ dt=1/n^2(cos nt+nt\ sin nt)`

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