Solving Fourrier Transform Problems: Schwartz Space & exp(-ax^2)

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Discussion Overview

The discussion revolves around understanding the Fourier transform, specifically in the context of functions belonging to the Schwartz space. Participants are exploring properties of the Fourier transform of a function defined as \( f_k(x) = f(kx) \) and its implications for the Fourier transform of the Gaussian function \( \exp(-ax^2) \).

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant seeks clarification on the properties of the Fourier transform and the definition of \( f_k \).
  • Another participant explains that \( f_k \) is defined as \( f_k(x) = f(kx) \) and argues that if \( f \) belongs to the Schwartz space, then \( f_k \) should also belong to it.
  • A detailed argument is presented regarding the smoothness and boundedness conditions required for \( f_k \) to belong to the Schwartz space, utilizing the chain rule and bounding techniques.
  • Participants discuss the Fourier transform of \( f_k \) and derive its expression using a substitution method, leading to the conclusion that \( \hat{f_k}(\omega) = \frac{1}{k} \hat{f}\left( \frac{\omega}{k} \right) \).
  • There is an attempt to connect the Fourier transform of \( \exp(-x^2/2) \) to that of \( \exp(-ax^2) \), although this part remains less developed.

Areas of Agreement / Disagreement

Participants generally agree on the definitions and properties of the Schwartz space and the transformations discussed. However, the discussion remains unresolved regarding the specific application to the Fourier transform of \( \exp(-ax^2) \) and how to proceed from the established results.

Contextual Notes

The discussion includes assumptions about the properties of functions in the Schwartz space and the conditions under which the Fourier transform is defined. There are also unresolved aspects regarding the implications of the derived expressions for specific cases.

AkilMAI
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I"m want to get a better understanding of the Fourier transform so I've started to do some problems.
^_f=Fourier transform of f.

The function f belongs to the schwartz space and k>0 f_k(x)=f(kx).
1)show that f_k also belongs to the schwartz space and ^_f(e)=(1/k)^_f(e/k)
2)the Fourier transform of exp((−x^2)/2) is sqrt(2pi)*exp((−e^2)/2) use the first part to obtain the Fourier transform for exp(−ax^2)

Attempt:
f belongs to the schwartz space then f is infinitly diff also f(kx)=kf(x) which belongs to the schwartz space.
then f_k(x)=f(kx)=kf(x) which belongs to the schwartz space.
I don't know if this is correct or how to continue...any help will be great.Thank you
 
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Can you explain your notation? What does it mean f_k ?
 
Sorry,f_k=f<sub>k
sqrt= square root
(Thinking)...is there something else?
 
Last edited:
James said:
Sorry,f_k=f<sub>k
sqrt= square root
(Thinking)...is there something else?

What does f_k mean? I understand you want to say $f_k$, but what is this the notation for?
 
I'm sorry but that's how the problem is stated...f_k is defined to be f_k(x)=f(kx).
 
Let $S$ be the Schwartz class of functions. By definition $\varphi:\mathbb{R}\to \mathbb{R}$ belongs to $S$ means that $\varphi$ is smooth (has infinitely many derivatives) and that it satisfies the following very strong boundness condition: $|x|^n |\varphi^{(m)} (x)| \leq M_{n,m}$ for all non-negative integers $n,m$.

Let $f$ be a function belonging to $S$. Fix $k>0$ and define the function $f_k$ as follows: $f_k(x) = f(kx)$. We need to show that $f_k$ belongs to $S$ also. Thus, we need to show that $f_k$ is smooth and satisfies this boundness condition. To show this we need to use the chain rule. As $f_k(x) = f(kx)$ it means that $f_k'(x) = k f'(kx)$, and also $f_k''(x) = k^2 f''(kx)$, in general, $f_k^{(m)} (x) = k^m f^{(m)}(km)$.

Now we have,
$$ |x|^n |f_k^{(m)} (x)| = \frac{1}{k^n} \cdot | kx|^n \cdot k^m |f^{(m)}(kx)| \leq k^{m-n} M_{n,m}$$

Thus, this shows that $|x|^n |f_k^{(m)}(x)|$ is bounded for all $n,m\geq 0$. This means that $f_k$ also belongs to $S$.
 
If $\varphi$ belongs to $S$ then we can define its Fourier transform $\hat{\varphi} : \mathbb{R} \to \mathbb{R}$ as follows:
$$ \hat{\varphi} (\omega) = \int \limits_{-\infty}^{\infty} \varphi(x) e^{-i\omega x} ~ dx $$
This means that the Fourier transform of $f_k$ is:
$$ \hat{f_k}(\omega) = \int \limits_{-\infty}^{\infty} f_k(x) e^{-i\omega x} ~ dx = \int \limits_{-\infty}^{\infty} f(kx) e^{-i\omega x} ~ dx $$

Now let $y = kx$ as the substitution function, so $x = \frac{y}{k}$ and $dx = \frac{1}{k} dy$, also the limits stay the same (why?):
$$ \hat{f_k}(\omega) = \int \limits_{-\infty}^{\infty} f(y) e^{-i\omega y/k} \frac{1}{k} dy = \frac{1}{k} \int\limits_{-\infty}^{\infty} f(y) e^{-iy(\omega/k)} ~ dy = \frac{1}{k} \hat{f}\left( \frac{\omega}{k} \right) $$
 

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