Can a Fourier series be adjusted to model a decreasing period function?

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SUMMARY

The discussion centers on modeling a decreasing period function using a Fourier series. The proposed adjustment involves modifying the standard Fourier series equation, y = SUM{aSin(nx)} + SUM{bCos(nx)}, to y = SUM{aSin(nx^2)} + SUM{bCos(nx^2)} to achieve the desired "squished" effect for larger values of x. The application context is bladder level as a function of beer consumption, where the function transitions from an increasing pattern to a steep drop. Additionally, the use of WolframAlpha for graphical representation and the suggestion of employing wavelet transforms instead of Fourier transforms are highlighted.

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flatmaster
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I have a function I want to model. It is periodic, but the period keeps decreasing. Basically, it'll be a periodic function "squished" for larger values of x.

The typical Fourier series is...
y = SUM{aSin(nx)} + SUM{bCos(nx)}

I think I will attempt

y = SUM{aSin(nx^2)} + SUM{bCos(nx^2)}

replacing x -->x^2 should give me the "smushing" that I want.

The application is bladder level as a function of beers consumed. The basic function is an increasing (quadratic, exponential) function followed by a linear, steeply sloped drop to zero.
 
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I guess you should worry the amplitude as well. Your general function is ##f(t) = A(t)\sin(p(t)+p_0)##. Now you can try some functions for ##A(t)## and ##p(t)##. I would let WolframAlpha do the graphics until I'm satisfied.
 
sounds like you need a wavelet transform, not a Fourier transform
 

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