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Fourier Series. Or How I Spent My Summer Vacation (the 2 weeks after the AP Exam) Kevin Bartkovich Phillips Exeter Academy. Background. Taylor Series Polynomials Derivatives Equality of derivatives at a point Fourier Series Sines and cosines Integrals
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Fourier Series Or How I Spent My Summer Vacation (the 2 weeks after the AP Exam) Kevin Bartkovich Phillips Exeter Academy
Background • Taylor Series • Polynomials • Derivatives • Equality of derivatives at a point • Fourier Series • Sines and cosines • Integrals • Equality of integrals over an interval of one period
Definition or
How to determine coefficients Assume we are approximating a function f that is periodic with period for . We equate integrals over the period rather than derivatives at a point:
We can immediately solve for the constant term since all the sine and cosine terms integrate to 0, which yields so that
Strategy for other terms Multiply by cosx and integrate: Which yields
Why cos(mx)cos(nx) vanishes cos(mx + nx) = cos(mx)cos(nx) – sin(mx)sin(nx) cos(mx – nx) = cos(mx)cos(nx) + sin(mx)sin(nx) cos(mx+ nx) + cos(mx – nx) = 2cos(mx)cos(nx)
Likewise, we can multiply by sinx and integrate to find that • We can create similar integrals for all of the terms by multiplying by cos(kx) or sin(kx), in which all the terms integrate to 0 – except for cos2(kx) or sin2(kx) – which integrate to π.
Example: Square Wave Model a periodic square wave with amplitude 1 over the interval –π≤x ≤ π: This is an odd function, so its integral is 0; thus a0 = 0. Multiplying by coskx will also yield an odd function, so ak = 0 for all k.
On the other hand, multiplying by sinkx yields an even function that has an integral of 0 if k is even and 4/k if k is odd. Thus: bk= The Fourier Series is: Fourier series examples.xlsx
Example: Sawtooth Wave Suppose we create a Fourier Series of alternating sine curves: Fourier series examples.xlsx
Frequency Domain We can combine akcos(kx) +bksin(kx) into a single sinusoid, which can be written as Akcos(kx-φ), which has amplitude and phase shift
Example: Noise Filter A Fourier Series allows us to transform a waveform from the time domain (amplitude vs. time) to the frequency domain (amplitude of the kth harmonic vs. k). Example: Filter out random errors in a signal composed of a sum of various sinusoids. Fourier series error filter.xlsx
Student Projects • Vibrato Fourier and vibrato.pptx • Cell phone transmissions Cellphones Effect on Sounds.pptx • Tides http://tidesandcurrents.noaa.gov/data_menu.shtml?stn=8423898 Fort Point, NH&type=Historic+Tide+Data
Thank You! http://faculty.kfupm.edu.sa/ES/akwahab/Frequency_Domain.htm