Clever mathematicians always like to see the world from another perspective, the Fourier transform method gives people a look at and understand the world from a different angle.
A function of polynomial expansion in higher mathematics where most people have learned the Taylor expansion, which is a specific function expansion method for the power series, there are important applications in calculus. The Fourier expansion is a function that meet specific criteria developed on a set of orthogonal trigonometric series, we can define the set of trigonometric series:
and
The above three formulas described orthogonality of the set of trigonometric lines.
More simply, it is to be considered a specific function can be superimposed comes from the numerous sine function. Since the trigonometric functions have periodicity, we can first consider the period as a function of Fourier expansion.
Based on the face of the popular argument Fourier series, you can write:
And using the angle difference equation high school expands to:
And so , , , end up:
This is the period of the Fourier series expansion of a function. We now find , , :
Type of integration of:
The orthogonality of trigonometric lines:
Formula multiplies and integration of:
The orthogonality of trigonometric lines:
Using the formula in descending get:
Similarly get:
Finishing the above process, we get triangular form of the Fourier series expansion is:
Now we will need to expand the function of further generalization, and now wish to set is not a periodic function, we can think, in fact, non-periodic function can be viewed as an infinite cycle that is a periodic function. We need to lead Euler formula as a ready formula:
,
Formula can be rewritten as:
Order was:
For there are:
Similarly there are:
Note that when the time , and when the time
and so:
Order , are:
For non-periodic functions, the form of:
When the cycle of infinite angular frequency by discrete variables as a continuous variable, it might be the writing , the final form of the Fourier series as follows: