Fourier Series

Fourier Series

Ethara

This work will present the derivation on Fourier series and give an intuitive understanding of it.

Derivation on Fourier Series

Given a periodic function f(t) with period T for all t, i.e., f(t) = f(t+T), we will reconstruct f(t) using fundamental periodic (harmonic) signals sin(.) and cos(.). One bold idea is to fill one period T with many (infinite later) frequencies among which 1/T is the smallest (See popular cartoons available from Internet as shown below), since the whole pattern cannot repeat until the longest pattern corresponding to the smallest frequency 1/T repeats.

Fourier Series_第1张图片

To model an arbitrarily complicated signal f(t), we can modify amplitude, frequency and phase to the multivariate signal of period T with many frequencies,


Since


by adding a constant term, the multivariate signal becomes


Alternatively, to get a more compact form, representing sine and cosine via complex exponentials (Euler’s formula),


we can convert the trigonometric sum as above into


where Ck’s are complex numbers with symmetry property. (See Appendix I)

So, given a periodic function f(t) of period T, can we write the following equality (*)?


Suppose we can, then Ck’s are (See the proof in Appendix II)


where Ck’s are defined as Fourier coefficients.

Nevertheless, f(t) is not assured to be a continuous and infinitely differentiable function, which takes more higher frequencies to take sharp corners. Therefore, to represent the general periodic phenomena (signals), we have to consider infinite sum, i.e.,


Any non-smooth phenomenon signal will generate infinite many Fourier coefficients. Thus, we have to deal with issues of convergence. (which is set aside for the time being, since it is an exceedingly complicate mathematical problem)

Intuitive Understanding

What is Fourier series telling us?

Firstly, we define the inner product between two functions. If f(.) and g(.) are both squared integrable on [-T/2, T/2], the functional inner product is defined as


The squared norm of a real-valued function is


Moreover, f and g are orthogonal if (fg) = 0.

Noting the mathematical fact that


we can find an infinite-dimensional orthonormal basis,


One projection of f(t) onto the k’th component of the basis is


Therefore, the intuitive conclusion is that, Fourier series is the sum of all the projections, that is, a function periodic of is comprised of all its projections onto one component in the infinite-dimensional orthonormal basis,


Appendix

I.  Ck’s are complex numbers with symmetry property,


where C0 is real. Why is the equality (*) a summation over k evaluated at from –n to n? The reason is to cancel the imaginary part. Here is the proof. Suppose Ckaibk, we have,

Fourier Series_第2张图片

Therefore,


There is no imaginary part in (*), which assures each component in the summation is valid, since f(t) is a real-valued function.

II.  Prove


Proof:

Since


Isolating the term with Cm,

Fourier Series_第3张图片

Integrating both sides from –T/2 toT/2,


Therefore,


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