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

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Discussion Overview

The discussion revolves around the derivation of Fourier series formulas, specifically the coefficients a_n and b_n, rather than merely memorizing them. Participants explore the mathematical foundations and concepts underlying these formulas, including inner product spaces and orthogonality of functions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant expresses confusion about the derivation of the Fourier series coefficients a_n and b_n and seeks a deeper understanding beyond memorization.
  • Another participant introduces the concept of an inner product space and explains how the coefficients can be derived using an orthonormal basis of sine and cosine functions.
  • A different participant highlights the orthogonality of sine functions, providing integrals that demonstrate this property and how it relates to deriving the coefficients from a function expressed as a series of sine terms.
  • One participant suggests that using complex exponentials as basis functions may simplify the derivation process and proposes a different inner product definition.

Areas of Agreement / Disagreement

Participants present various approaches to deriving the Fourier series formulas, indicating that there are multiple perspectives on the topic. No consensus is reached on a single method or explanation.

Contextual Notes

Some assumptions about the properties of inner product spaces and the orthogonality of functions are present but not fully explored. The discussion does not resolve the intricacies of the derivation process.

Who May Find This Useful

Individuals interested in mathematical foundations of Fourier series, particularly those seeking to understand the derivation and underlying concepts rather than just applying the formulas.

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
 

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