Fourier transform question, keep getting zero, minus infinity limit

In summary, the Fourier transform of the given function g(x) is proportional to ##e^{-x(ip+1)}##, with the limitation that ##e^{-∞} = 1##. This can be solved by considering the fact that ##e^{∞} = 1##.
  • #1
rwooduk
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calculate the Fourier transform of the function g(x) if g(x) = 0 for x<0 and g(x) = ##e^{-x}## otherwise.

putting g(x) into the transform we have:

##\tilde{g}(p) \propto \int_{0}^{inf} e^{-ipx} e^{-x} dx##

which we can write:

##\tilde{g}(p) \propto \int_{0}^{inf} e^{-x(ip+1)} dx##

which will give:

##\tilde{g}(p) \propto e^{-x(ip+1)} ## for x between 0 and infinity

the problem is ##e^{0} = 1## and ##e^{-inf} = 1## so i get zero.

is there a way around this?

thanks for any help.
 
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  • #2
rwooduk said:
calculate the Fourier transform of the function g(x) if g(x) = 0 for x<0 and g(x) = ##e^{-x}## otherwise.

putting g(x) into the transform we have:

##\tilde{g}(p) \propto \int_{0}^{inf} e^{-ipx} e^{-x} dx##

which we can write:

##\tilde{g}(p) \propto \int_{0}^{inf} e^{-x(ip+1)} dx##

which will give:

##\tilde{g}(p) \propto e^{-x(ip+1)} ## for x between 0 and infinity

the problem is ##e^{0} = 1## and ##e^{-inf} = 1## so i get zero.

is there a way around this?

thanks for any help.

Is ##e^{-∞} = 1##? That would mean ##1/e^{∞} = 1##, which implies ##e^{∞} = 1##.
 
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  • #3
SteamKing said:
Is ##e^{-∞} = 1##? That would mean ##1/e^{∞} = 1##, which implies ##e^{∞} = 1##.

oh dear, so easy, and it took me ages to do all the latex on that op.

Thanks for clearing this up it's appreciated!
 

Related to Fourier transform question, keep getting zero, minus infinity limit

1. What is a Fourier transform?

A Fourier transform is a mathematical tool used to analyze the frequency components of a signal or function. It decomposes a signal into its constituent frequencies and provides information about the strength of each frequency component.

2. How does the Fourier transform work?

The Fourier transform works by decomposing a signal into a sum of sinusoidal functions with different frequencies, amplitudes, and phases. It uses complex numbers and integration to calculate the contribution of each frequency component to the overall signal.

3. Why am I getting a zero or minus infinity limit when performing a Fourier transform?

A zero or minus infinity limit can occur when the function being transformed is not well-behaved, such as having discontinuities or infinite amplitude. It can also happen when the function does not have a finite integral, which is a requirement for the Fourier transform to exist.

4. How can I avoid getting a zero or minus infinity limit when performing a Fourier transform?

To avoid getting a zero or minus infinity limit, the function being transformed should be well-behaved and have a finite integral. If the function has discontinuities, it can be smoothed out or modified to make it suitable for the Fourier transform. Additionally, certain techniques such as windowing can be used to reduce the impact of the discontinuities on the resulting transform.

5. What are some applications of the Fourier transform?

The Fourier transform has many applications in science and engineering, including signal processing, image processing, data compression, and solving differential equations. It is also used in fields such as physics, astronomy, and chemistry to analyze and understand complex systems and phenomena.

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