Fourier transform of a gaussian

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SUMMARY

The Fourier transform of a Gaussian function, represented as (1/√(2πσ)) e^(-x²/(2σ²)), results in another Gaussian function. This is confirmed by the mathematical properties outlined in the Fourier Transform documentation on MathWorld. Users have reported discrepancies when applying different equations from the same source, leading to confusion in calculations. Accurate application of the Fourier transform requires careful attention to the definitions and parameters used in the calculations.

PREREQUISITES
  • Understanding of Fourier transforms and their properties
  • Familiarity with Gaussian functions and their mathematical representation
  • Basic calculus skills for performing integrals
  • Access to mathematical resources like MathWorld for reference
NEXT STEPS
  • Study the derivation of the Fourier transform of Gaussian functions
  • Practice calculating Fourier transforms using different definitions
  • Explore the implications of Fourier transforms in signal processing
  • Review common mistakes in Fourier transform calculations and how to avoid them
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Students and professionals in mathematics, physics, and engineering who are learning about Fourier transforms and their applications, particularly those working with Gaussian functions.

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fourier transform of the gaussian (1/\sqrt{2 pi \sigma}) e ^ (^{x^2/2\sigma^2})



now the Fourier of a gaussian is said to equal another gaussian as shown by equation (4) here:
http://mathworld.wolfram.com/FourierTransform.html

but when i also did it using equation (1) here:
http://mathworld.wolfram.com/FourierTransform.html

i find a completely different answer.

im wondering how i am doing the calculations wrong using the normal definition of Fourier transforms.

fourier transforms are very new to me so any help is much appreciated thank you.
 
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you'll have more chance if you show you working, its pretty hard to guess what you're doing wrong
 
setting a=1/2 \sigma ^2 and k=1/2\sqrt{2 pi sigma} i use the concept the Fourier of a gaussian equals another gaussian and am given
\sqrt{2 sigma ^2 pi} e^((-2pi^2 \sigma^2 / \sqrt{2 pi sigma}
 

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