Checking your Fourier Series coefficients

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SUMMARY

The discussion focuses on verifying the accuracy of Fourier series coefficients for a function. Participants suggest using plotting software to graph the function as a visual check. Additionally, calculating the first few terms by hand for a random value of x is recommended. A specific method mentioned is to verify that f(0) equals the sum of the coefficients minus half of a0, which primarily checks the a_n coefficients. For b_n coefficients, rechecking derivations is advised.

PREREQUISITES
  • Understanding of Fourier series and their coefficients (a_n and b_n)
  • Familiarity with mathematical plotting software
  • Basic calculus for evaluating functions at specific points
  • Knowledge of series convergence and summation techniques
NEXT STEPS
  • Explore advanced techniques for verifying Fourier series coefficients
  • Learn how to use specific plotting software like MATLAB or Python's Matplotlib
  • Study the convergence criteria for Fourier series
  • Investigate common pitfalls in deriving Fourier coefficients
USEFUL FOR

Mathematicians, engineering students, and anyone involved in signal processing or harmonic analysis who seeks to verify their Fourier series calculations effectively.

WolfOfTheSteps
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When you compute the Fourier series coefficients for a function, is there any quick way to check if your answer is correct or at least reasonable?Thanks.
 
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I would graph it using plotting software.

You could also pick a random value of x and calculate the first few terms by hand.
 
So I guess that means there is no quick way to tell, when you are taking a test or something?
 
Last edited:
It's a good question. Maybe someone else can give you better advice.
 
There is not really an easy shortcut, but one thing you could do is Check that f(0)= \left( \sum_{n=0}^{\infty} a_n \right) - \frac{a_0}{2}

That only checks your a_n, for b_n all I can offer is to recheck your derivation. Good Luck lol
 

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