Fourier Transform Proof

In summary, the Fourier transform of a continuous non-periodic function is defined as f(x) = ∫-∞∞ c(k)eikx dk, where c(k) = (1/2π)∫-∞∞ f(x)e-ikx dx. To prove this, the integral is evaluated when c(k) is substituted into the equation for f(x). This can be done using the Dirac Delta Distribution and a limiting argument. The Dirichlet Kernel, which is defined as D_K(y) = (1/π)sin(Ky)/y, plays a key role in this proof.
  • #1
Matt Chu
16
0

Homework Statement



Given a continuous non-periodic function, its Fourier transform is defined as:

$$f(x) = \int_{-\infty}^\infty c(k) e^{ikx} dk, \ \ \ \ \ \ \ \ \ \ \ \ \ c(k) = \frac{1}{2\pi} \int_{-\infty}^\infty f(x) e^{-ikx} dx$$

The problem is proving this is true by evaluating the integral when ##c(k)## is plugged into the equation for ##f(x)##.

Homework Equations



$$f(x) = \int_{-\infty}^\infty c(k) e^{ikx} dk$$
$$c(k) = \frac{1}{2\pi} \int_{-\infty}^\infty f(x) e^{-ikx} dx$$

The Attempt at a Solution



This ends up with a long integral:

$$f(x) = \int_{-\infty}^\infty \left( \frac{1}{2\pi} \int_{-\infty}^\infty f(x') e^{-ikx'} dx' \right) e^{ikx} dk$$

I'm not sure really how to proceed from here. I moved the ##e^{ikx}## into the inner integral, which I figured was fine since it's constant relative to ##x'##.

$$f(x) = \int_{-\infty}^\infty \left( \frac{1}{2\pi} \int_{-\infty}^\infty f(x') e^{ik(x-x')} dx' \right) dk$$

I tried to kill at least one of the integrals by seeing if something evaluated to a Dirac Delta but I can't seem to get that result. I also tried integrating by parts, but that led me nowhere.
 
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  • #2
Use the fact that: ##\int_{-\infty}^{\infty}\exp(ik(x-x'))dk/2\pi = \delta(x-x')##.
 
  • #3
MathematicalPhysicist said:
Use the fact that: ##\int_{-\infty}^{\infty}\exp(ik(x-x'))dk/2\pi = \delta(x-x')##.

Is there an issue with the the bounds of integration in this case? I wouldn't think so but I'm not positive.
 
  • #4
Matt Chu said:
Is there an issue with the the bounds of integration in this case? I wouldn't think so but I'm not positive.
No there's no issue.

I think but not sure that that is one of the many definitions of Dirac Delta Distribution (DDD).
Anyway, you can search google or wiki for further explanations.
 
  • #5
MathematicalPhysicist said:
No there's no issue.

I think but not sure that that is one of the many definitions of Dirac Delta Distribution (DDD).
Anyway, you can search google or wiki for further explanations.
If you take that as the definition of the delta distribution then you must show that it has the other properties that are more common to use for its definition. If you define it (more normally) by its integral property, then you must show that what is given is actually a representation of the delta distribution. This is often done in a hand-waving manner in introductory courses.
 
  • #6
Matt Chu said:

Homework Statement



Given a continuous non-periodic function, its Fourier transform is defined as:

$$f(x) = \int_{-\infty}^\infty c(k) e^{ikx} dk, \ \ \ \ \ \ \ \ \ \ \ \ \ c(k) = \frac{1}{2\pi} \int_{-\infty}^\infty f(x) e^{-ikx} dx$$

The problem is proving this is true by evaluating the integral when ##c(k)## is plugged into the equation for ##f(x)##.

Homework Equations



$$f(x) = \int_{-\infty}^\infty c(k) e^{ikx} dk$$
$$c(k) = \frac{1}{2\pi} \int_{-\infty}^\infty f(x) e^{-ikx} dx$$

The Attempt at a Solution



This ends up with a long integral:

$$f(x) = \int_{-\infty}^\infty \left( \frac{1}{2\pi} \int_{-\infty}^\infty f(x') e^{-ikx'} dx' \right) e^{ikx} dk$$

I'm not sure really how to proceed from here. I moved the ##e^{ikx}## into the inner integral, which I figured was fine since it's constant relative to ##x'##.

$$f(x) = \int_{-\infty}^\infty \left( \frac{1}{2\pi} \int_{-\infty}^\infty f(x') e^{ik(x-x')} dx' \right) dk$$

I tried to kill at least one of the integrals by seeing if something evaluated to a Dirac Delta but I can't seem to get that result. I also tried integrating by parts, but that led me nowhere.

You can do it by a limiting argument; that is the way every treatment I have ever seen has done it. Define
$$c(k) = \frac{1}{2\pi} \int_{-\infty}^\infty f(x') e^{-ikx'} dx'$$
and
$$f_K(x) = \int_{-K}^K c(k) e^{ikx} dk$$
We want the value of ##\lim_{K \to \infty} f_K(x).##

Note that
$$f_K(x) = \int_{ -\infty}^{\infty} f(x') D_K(x-x') \, dx' = \int_{-\infty}^\infty f(x-y) D_K(y) \, dy$$
where
$$D_K(y) = \frac{1}{2 \pi} \int_{-K}^K e^{iky} \, dk = \frac{1}{\pi} \frac{\sin(Ky)}{y}.$$
The function ##D_K(y)## is sharply peaked at ##y = 0##, and ##\int_{-\infty}^{\infty} D_K(y) \, dy = 1##--see the link below. Intuitively, this suggests that as ##K \to \infty## the integral of ## f(x-y) D_K(y)## will just pick out the value ##f(x)## coming from ##y = 0##. That is, ##\lim_{K \to \infty} D_K(y) = \delta(y).##

In fact, this is not quite true. What can be proven is that for "reasonably nice functions" ##f(x)##---absolutely integrable, of bounded variation on finite intervals and having a finite number of jump discontinuities on finite intervals---we will have
$$\lim_{K \to \infty} f_K(x) = \frac{1}{2} [ f(x+) + f(x-) ],$$
where ##f(x+)## and ##f(x-)## are the right-hand and left-hand limits of ##f(y)## as ##y \to x##; that is,
$$ f(x+) = \lim_{y \downarrow x} f(y), \;\; f(x-) = \lim_{y \uparrow x} f(y).$$ Of course we have ##f_K(x) \to f(x)## at any point where ##f(x)## is continuous.

The function ##D_K(y)## is called the Dirichlet Kernel, and is well-studied in Fourier series treatments; the convergence theorems proved for Fourier series go through for Fourier transforms, because they both involve limits of integrals like ##f_K(x)## above.

See, eg., http://www.sosmath.com/fourier/fourier3/fourier31.html#proof3 . Be sure to click on the word "proof" that appears a few times in that article. Better still, go to the library and take out a book about Fourier series.
 
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What is Fourier Transform Proof?

Fourier Transform Proof is a mathematical process used to convert a function from its original domain to a new domain, typically in the frequency domain. It is used to analyze signals and systems in various fields such as engineering, physics, and mathematics.

What is the purpose of Fourier Transform Proof?

The purpose of Fourier Transform Proof is to decompose a function or signal into its individual frequency components. This allows for a better understanding of the behavior and characteristics of the original function.

What is the difference between Fourier Transform and Fourier Transform Proof?

The Fourier Transform is a mathematical tool used to convert a function from its original domain to the frequency domain, while Fourier Transform Proof is a mathematical process used to prove the validity of the Fourier Transform. In other words, Fourier Transform Proof is a method to show that the Fourier Transform accurately represents the original function.

What are some applications of Fourier Transform Proof?

Fourier Transform Proof has many applications in various fields such as image processing, signal processing, communication systems, and quantum mechanics. It is used to analyze and understand the behavior of signals and systems in these fields.

Are there any limitations of Fourier Transform Proof?

One limitation of Fourier Transform Proof is that it is only applicable to functions that are integrable, meaning they have a finite area under the curve. It also assumes that the function is periodic or extends to infinity. Additionally, Fourier Transform Proof may not accurately represent functions that contain sharp discontinuities or impulses.

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