Odd/even functions and fourier transforms

Also, remember that the Fourier transform is linear.In summary, the conversation discusses proving that if a function f in the set of moderately decreasing functions is odd/even, then its Fourier transform, denoted as \hat{f}, is also odd/even. The person asking for help has attempted to use the rules for even and odd functions and is struggling to make the connection with the definition of \hat{f}. They are seeking guidance and are reminded to use the definition of the Fourier transform and the fact that it is linear.
  • #1
anj158
1
0
Hi, I'm really stuck on this question and have attempted to solve it, I think I'm getting close, but I just need someone to point me in the right direction?

I have to prove that if f [tex]\in[/tex] M(R) is odd/even, then [tex]\hat{f}[/tex] is odd/even

(where M(R) is the set of moderately decreasing functions)



I have used the rules that if f is even: f(x)=f(-x)
and if f is odd: -f(x)=f(-x)

and I have tried to link this with the definition of [tex]\hat{f}[/tex] but I am not getting the conclusion that I want, can anyone help? Thank you!
 
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  • #2
Try starting with the definition of the Fourier transform and use the substitution t→-t.
 

1. What is an odd function?

An odd function is a mathematical function that satisfies the property f(-x) = -f(x) for all values of x. This means that the function is symmetric about the origin and its graph has rotational symmetry of 180 degrees. Examples of odd functions include sine, tangent, and cubic functions.

2. What is an even function?

An even function is a mathematical function that satisfies the property f(-x) = f(x) for all values of x. This means that the function is symmetric about the y-axis and its graph has rotational symmetry of 180 degrees. Examples of even functions include cosine, exponential, and quadratic functions.

3. What is the relationship between odd/even functions and Fourier transforms?

The Fourier transform is a mathematical tool used to decompose a function into its constituent frequencies. In the context of odd/even functions, the Fourier transform can help us determine whether a function is odd or even by looking at the symmetry of its frequency components. An odd function's Fourier transform will have only imaginary components, while an even function's Fourier transform will have only real components.

4. How can Fourier transforms be used to analyze signals?

Fourier transforms are commonly used in signal processing to analyze and manipulate signals. They allow us to break down a signal into its frequency components, making it easier to identify patterns and extract useful information. By applying the Fourier transform to a signal, we can also filter out unwanted frequencies or add new frequencies to the signal.

5. Are there any real-life applications of odd/even functions and Fourier transforms?

Yes, there are many real-life applications of these concepts. In physics, odd/even functions and Fourier transforms are used to study and understand the behavior of waves and oscillations. In engineering, they are used in signal processing and control systems. In finance, Fourier transforms are used in option pricing models. Overall, these concepts have a wide range of applications in various fields of science and technology.

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