Uncovering the Hidden Significance of Fourier Series in Physics and Engineering

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SUMMARY

The discussion highlights the significance of Fourier series in analyzing periodic functions, particularly in physics and engineering applications. It emphasizes that Fourier coefficients provide measurable insights, such as identifying harmonics in electrical circuits when a 50 Hz square wave is injected and measured at 150 Hz. Additionally, it illustrates the practical use of Fourier analysis in signal processing, where decomposing signals into Fourier components allows for accurate predictions of signal behavior after filtering. The discussion also underscores the potential dangers of resonance, as seen in the example of soldiers marching in step on a bridge resonant at their walking frequency.

PREREQUISITES
  • Understanding of Fourier series and Fourier coefficients
  • Basic knowledge of electrical circuits and signal measurement
  • Familiarity with signal processing techniques
  • Concept of resonance in physical structures
NEXT STEPS
  • Study the mathematical derivation of Fourier series and its applications
  • Learn about signal filtering techniques and their impact on signal integrity
  • Explore practical applications of Fourier analysis in electrical engineering
  • Investigate the effects of resonance in structural engineering and safety measures
USEFUL FOR

Students and professionals in physics and engineering, electrical engineers, signal processing specialists, and anyone interested in the practical applications of Fourier analysis in real-world scenarios.

matqkks
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If we have a simple periodic function (square wave) which can be easily written but the Fourier series is an infinite series of sines and cosines. Why bother with this format when we can quite easily deal with the given periodic function? What is the whole point of dealing this long calculation of the Fourier coefficients? Does it tell us something that is useful?
 
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In many areas of physics and engineering you will find that the Fourier components can actually be measured. Arguably they actually exist.

For example if you inject a 50 Hz square wave of current into an electrical circuit and then measure that current with a test instrument that is only sensitive to 150 Hz then the reading on the test instrument will match the value found for the third harmonic by Fourier analysis.

Similarly if you pass a square wave signal through a filter that allows low frequencies to pass more easily than high frequencies then you can decompose the signal into Fourier components, work out how much each component is attenuated by the filter and then add the attenuated components back together to work out what the signal shape will be after passing through the filter.

Maybe soldiers walk across a bridge in step with each other. If the bridge is resonant at one of the harmonics of their walking frequency then the bridge can be destroyed. The Fourier components have very real consequences.
 

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