Difference between revisions of "Fourier Series"

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{{WikiEntry|key=Fourier Series|qCode=179467}} is the decomposition of periodic functions into sums of simpler sinusoidal forms.
 
{{WikiEntry|key=Fourier Series|qCode=179467}}
 
Some functions are hard to work with, for example, discontinuous and fractal functions. On the other hand, some functions have wonderful properties for example sin, cos, and the linear function. In the Fourier series, we can use functions with wonderful properties to approximate functions that are hard to work with, for example, we use sin and cos to approximate [[fractal functions]] . Moreover, we can also approximate the functions by adding up functions together and the [[Fourier Series | Fourier series]] <ref>{{:Video/Fourier Series by looking glass univers}}</ref><ref>{{:Video/What is a Fourier Series? (Explained by drawing circles) - Smarter Every Day 205}}</ref><ref>{{:Video/The Fourier Series and Fourier Transform Demystified}}</ref> will tell us what coefficient to use in our combination. However, you can only approximate a function on an interval.  
 
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Latest revision as of 09:38, 31 July 2022


Fourier Series(Q179467)

Some functions are hard to work with, for example, discontinuous and fractal functions. On the other hand, some functions have wonderful properties for example sin, cos, and the linear function. In the Fourier series, we can use functions with wonderful properties to approximate functions that are hard to work with, for example, we use sin and cos to approximate fractal functions . Moreover, we can also approximate the functions by adding up functions together and the Fourier series [1][2][3] will tell us what coefficient to use in our combination. However, you can only approximate a function on an interval.


References

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