How can Fourier series formulas be derived without just memorizing them?

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lukaszh
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Hello,
everywhere I can see this
[tex]a_n = \frac{1}{\pi}\int_{-\pi}^\pi f(t) \cos(nt)\, dt[/tex]
[tex]b_n = \frac{1}{\pi}\int_{-\pi}^\pi f(t) \sin(nt)\, dt[/tex]
etc... I can't find, how to derive this formulas. I'm really tired and a bit confused of this formulas, because I can't find possible way to derive them. I don't like only formula application, but I want to know, what is that formula about.
Thank you...
 
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If you have an "inner product space", that is, an vector space with an inner product defined on it, together with an orthonormal basis, [itex]v_1, v_2, ...[/itex], that is such that [itex]<v_i, v_j>= 0[/itex] if [itex]i\ne j[/itex] and [itex]<v_i, v_i>= 1[/itex] for all i, and want to write v as a linear combination, [itex]v= a_1v_1+ a_2v_2+ ...+ a_nv_n[/itex], then [math]a_i= <v, v_i[/itex]. What you have is a vector space with basis [itex]cos(nx)[/itex], [itex]sin(nx)[/itex] with inner product [itex]<f, g>= \frac{1}{\pi}\int_{-\pi}^\pi f(t)g(t)dt[/itex] which leads to the given formulas.
 
It works because the functions sin(nt) for different values of n are orthogonal to each other, that is,

[tex]\int^{\pi}_{-\pi} {\sin(nt) \sin (mt) dt} = 0[/tex]

for [itex]n \ne m[/itex], and

[tex]\int^{\pi}_{-\pi} {\sin^2(nt) dt} = \pi[/tex]

Likewise for cosines. Try a few examples if you like. Therefore if you have a function

[tex]f(t) = b_1 \sin (t) + b_2 \sin (2t) + b_3 \sin (3t) + ...[/tex]

then, for example, letting n = 2:

[tex]\int^{\pi}_{-\pi} {f(t) \sin (2t) dt} = b_1 \int^{\pi}_{-\pi} {\sin (t) \sin (2t) dt}<br /> + b_2 \int^{\pi}_{-\pi} {\sin^2 (2t) dt} <br /> + b_3 \int^{\pi}_{-\pi} {\sin(3t) \sin (2t) dt} + ...[/tex]

[tex]\int^{\pi}_{-\pi} {f(t) \sin (2t) dt} = b_1 \cdot 0 + b_2 \cdot \pi + b_3 \cdot 0 + ...[/tex]
 
Thank you. Now I understand. Thanks Thanks
 
It is easier to work with the basis functions

e_n(x) = exp(i n x)

and define the inner product as

<f,g> = 1/(2 pi) Integral from minus pi to pi of f(x)g*(x) dx