Complex Fourier Series: n from -∞ to +∞?

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Discussion Overview

The discussion centers on the differences in the indexing of terms in complex Fourier series compared to real Fourier series, specifically why the index n ranges from -∞ to +∞ in complex Fourier series, while it ranges from n=1 to +∞ in real Fourier series. The scope includes theoretical aspects of Fourier analysis.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about the different indexing in complex versus real Fourier series.
  • Another participant suggests that resources on negative frequency may provide insight into the topic.
  • A participant explains that in real Fourier series, using negative values for n does not yield new information due to the even and odd properties of sine and cosine functions.
  • This participant further elaborates that the relationship between sine and cosine functions and their exponential forms implies that positive n terms in real Fourier series inherently include contributions from both positive and negative n in the complex form.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the reasoning behind the different indexing in the two types of Fourier series. Multiple viewpoints are presented, and the discussion remains unresolved.

Contextual Notes

Some assumptions about the properties of sine and cosine functions and their implications for Fourier series are discussed, but these assumptions are not universally accepted or clarified.

Tosh5457
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Hi, I don't understand why does n goes from -∞ to +∞ in the complex Fourier series, but it goes from n=1 to n=+∞ in the real Fourier series?
 
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"Real Fourier Series" are in the form [itex]\sum a_ncos(nx)+ b_nsin(nx)[tex] cosine is an even function and sine is an odd function so that if we <b>did</b> use negative values for n, it wouldn't give us anything new: [itex]a_{-n}cos(-nx)+ b_n sin(-nx)= a_{-n}cos(nx)- b_{-n} sin(nx)[/itex] and would can then combine that with the corresponding "n" term: [itex]( a_n+ a_{-n})cos(nx)+ (b_n- b_{-n})sin(nx)[/itex]<br /> <br /> Another, but equivalent, way of looking at it is that [itex]cos(nx)= (e^{inx}+ e^{-inx})/2[/itex] and [itex]sin(nx)= (e^{inx}+ e^{-inx})/2i[/itex] so that sin(nx) and cosine(nx) with only positive n includes exponentials with both positive and negative n.[/tex][/itex]
 
HallsofIvy said:
"Real Fourier Series" are in the form [itex]\sum a_ncos(nx)+ b_nsin(nx)[tex] cosine is an even function and sine is an odd function so that if we <b>did</b> use negative values for n, it wouldn't give us anything new: [itex]a_{-n}cos(-nx)+ b_n sin(-nx)= a_{-n}cos(nx)- b_{-n} sin(nx)[/itex] and would can then combine that with the corresponding "n" term: [itex]( a_n+ a_{-n})cos(nx)+ (b_n- b_{-n})sin(nx)[/itex]<br /> <br /> Another, but equivalent, way of looking at it is that [itex]cos(nx)= (e^{inx}+ e^{-inx})/2[/itex] and [itex]sin(nx)= (e^{inx}+ e^{-inx})/2i[/itex] so that sin(nx) and cosine(nx) with only positive n includes exponentials with both positive and negative n.[/tex][/itex]
[itex][tex] <br /> Thanks <img src="https://cdn.jsdelivr.net/joypixels/assets/8.0/png/unicode/64/1f642.png" class="smilie smilie--emoji" loading="lazy" width="64" height="64" alt=":smile:" title="Smile :smile:" data-smilie="1"data-shortname=":smile:" />[/tex][/itex]
 

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