Efficiently Compute the Fourier Transform of U(t) for Easy Homework Assignment

In summary, the computer will only do the Fourier transform for U(t) = 1 for |t| < 1, and U(t) = 0 for |t| > 1.
  • #1
Jamin2112
986
12

Homework Statement



Computer the Fourier transform of U(t), where U(t) = 1 for |t| < 1, and U(t) = 0 for |t| > 1.

Homework Equations



Fourier Transform: F(w) = ∫U(t)e-iwtdt (bounds: ∞, -∞)

The Attempt at a Solution



If |t| < 1, obviously F(w) = 0.

If |t| > 1,
F(w) = (-1/wt)*[cos(-wt) + i sin(-wt)] | - (-1/wt)*[cos(-wt) + i sin(-wt)] |-∞.

How do I evaluate that? Obviously limt-->∞cos(-wt) and limt-->∞sin(-wt) don't exist. Or am I missing something important?
 
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  • #2
Jamin2112 said:

Homework Statement



Computer the Fourier transform of U(t), where U(t) = 1 for |t| < 1, and U(t) = 0 for |t| > 1.

Homework Equations



Fourier Transform: F(w) = ∫U(t)e-iwtdt (bounds: ∞, -∞)

The Attempt at a Solution



If |t| < 1, obviously F(w) = 0.

If |t| > 1,
F(w) = (-1/wt)*[cos(-wt) + i sin(-wt)] | - (-1/wt)*[cos(-wt) + i sin(-wt)] |-∞.

How do I evaluate that? Obviously limt-->∞cos(-wt) and limt-->∞sin(-wt) don't exist. Or am I missing something important?

I think you are missing something important.

Take this statement for example:

"If |t| < 1, obviously F(w) = 0."

This makes no sense. "F(w) = 0" is an equation containing no "t", so why would "|t| < 1" make it true?

Note that since U(t) = 0 unless -1 <= t <= 1, you can rewrite the integral as follows:

[tex]\int_{-\infty}^{\infty} U(t) e^{-i w t} dt = \int_{-1}^{1} e^{-i w t} dt[/tex]
 
  • #3
Not quite, F(w) is dependent on the value of w, with the integral carried out over all t.

The effect of U(t) =0 for |t|>1 means you can change the interval of the integral to be [-1,1], as U(t) is zero outside this inetrval
 
  • #4
Ah, I see. I knew something was fishy. I guess that's what happens when it's 7 weeks into the quarter and I still haven't bought the textbook.
 

FAQ: Efficiently Compute the Fourier Transform of U(t) for Easy Homework Assignment

What is the Fourier Transform?

The Fourier Transform is a mathematical operation that transforms a function from the time domain to the frequency domain. It decomposes the original function into a sum of sinusoidal functions, making it easier to analyze and study.

How is U(t) defined for the Fourier Transform?

U(t) is a step function that is equal to 1 for all values of t greater than or equal to 0, and 0 for all values of t less than 0.

What is the importance of efficiently computing the Fourier Transform for U(t)?

Efficiently computing the Fourier Transform for U(t) allows us to quickly analyze and understand the frequency components of a signal or function. This is especially useful in fields such as signal processing, image processing, and communication systems.

What are some ways to efficiently compute the Fourier Transform of U(t)?

Some ways to efficiently compute the Fourier Transform of U(t) include using the Fast Fourier Transform algorithm, using properties and symmetries of the Fourier Transform, and implementing numerical methods such as the trapezoidal rule.

How can I use the Fourier Transform of U(t) for an easy homework assignment?

You can use the Fourier Transform of U(t) in various ways for an easy homework assignment. For example, you can use it to solve differential equations, analyze the frequency components of a signal, or understand the behavior of a system. It is a fundamental tool in many areas of science and engineering, so learning how to efficiently compute it will be helpful for future assignments and projects.

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