Uncovering the Hidden Significance of Fourier Series in Physics and Engineering

In summary, the Fourier series can be a useful tool in analyzing periodic functions, as it allows us to easily measure and manipulate the different frequency components. This can have real life consequences, such as in electrical circuits and bridge destruction.
  • #1
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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  • #2
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.
 

FAQ: Uncovering the Hidden Significance of Fourier Series in Physics and Engineering

What is the purpose of Fourier series?

The purpose of Fourier series is to represent a periodic function as a sum of sinusoidal functions. This allows us to analyze and understand the behavior of a complex function by breaking it down into simpler components.

How does Fourier series help in signal processing?

Fourier series is widely used in signal processing to analyze and manipulate signals. By decomposing a signal into its frequency components, we can filter out unwanted frequencies, compress data, and extract useful information from the signal.

Can Fourier series be used for non-periodic functions?

No, Fourier series can only be used for periodic functions. However, the Fourier transform, which is a generalization of Fourier series, can be used for non-periodic functions.

What is the difference between Fourier series and Fourier transform?

The main difference between Fourier series and Fourier transform is that Fourier series is used for periodic functions, while Fourier transform can be used for both periodic and non-periodic functions. Additionally, Fourier transform provides a continuous frequency spectrum, while Fourier series only gives a discrete set of frequencies.

How is Fourier series related to the concept of harmonics?

Fourier series is closely related to harmonics, which are integer multiples of the fundamental frequency. The coefficients in a Fourier series represent the amplitude and phase of each harmonic in the function. The more harmonics included in the series, the more accurate the representation of the function will be.

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