Calculating Fourier Transform of Unit Step Function

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SUMMARY

The Fourier transform of the unit step function, also known as the Heaviside step function, does not exist in the traditional sense. Instead, it is represented as a distribution involving the Dirac delta function. The discussion highlights that while the Fourier transform yields an infinite result, the Laplace transform is a more suitable tool for analyzing such functions in practical applications. Participants emphasized the need to understand the distributional nature of the Heaviside function when calculating its Fourier transform.

PREREQUISITES
  • Understanding of Fourier Transform and its mathematical definition
  • Familiarity with the Heaviside step function and its properties
  • Knowledge of the Dirac delta function and its role in distributions
  • Basic concepts of Laplace Transform and its applications
NEXT STEPS
  • Study the properties and applications of the Laplace Transform
  • Learn about distributions in mathematical analysis, focusing on the Dirac delta function
  • Explore practical examples of Fourier and Laplace transforms in signal processing
  • Investigate the graphical representation of distributions involving the Heaviside step function
USEFUL FOR

Mathematicians, engineers, and students in signal processing or control systems who need to understand the implications of using Fourier and Laplace transforms for non-traditional functions.

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how can I calculate the Fourier transform for unit step function:

v(t)=1 where 0=<t<+infinity

v(t)=0 otherwise

I applied the general definition relation for FT:

v(w)=integral(v(t)*e^-jwt) ; - infinity<t<+infinity

but i had v(w)=infinity due to the term infinity-displaced e^(+jwt) so that's wrong of course!

I think we could divide this function into two functions for example:

v'(t)=1/2 ; t of all values

v''(t)=1/2 ; 0=<t<+infinity
v''(t)=-1/2; -infinity<t<0

so we notice v(t)=v'(t)+v''(t)

I don't know what to do , could anyone help!

thanks!
 
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Your v(t) does not have a Fourier transform. When functions like this are encountered in practice, Laplace transform is used instead (You need to describe the application you are working on that needs this transform).
 
The Fourier transform of the Heaviside step function doesn't exist as a function. It does, however, exist as a (somewhat nasty) distribution that involves the the Dirac delta "function".

Regards,
George
 
George Jones said:
The Fourier transform of the Heaviside step function doesn't exist as a function. It does, however, exist as a (somewhat nasty) distribution that involves the the Dirac delta "function".

Regards,
George

thanks.Anyway could you clarify more, how did you deduct that Heaviside step function exists as Dirac delta function and how can we describe that distribution practically on diagram
 

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