Skip to main content

All Questions

1 vote
1 answer
76 views

Proof review Tempered Distributions: $(T*\varphi)^\wedge = (2\pi)^{n/2} \hat{\varphi}\hat{T}$ and computing $(x^\alpha)^\wedge$

I am learning about tempered distributions on schwartz space. But there are 2 questions in this text where Im unsatisfied with my solution... I ask kindly for your review of my solutions below, and if ...
NazimJ's user avatar
  • 3,266
1 vote
1 answer
66 views

Positive integral appears negative after applying the convolution theorem

I am Fourier transforming momentum representation of quantum mechanical wave functions to the position representation. In the weak sense (tempered distribution) we have $$\int_{\mathbb{R}^3} d^3k \ e^{...
Rasmus's user avatar
  • 514
2 votes
0 answers
64 views

Problem with Mellin transform of convolution production formula

I have came across a case where the standard formula for the Mellin transform of a convolution of two functions is not the product of the Mellin transforms and I don't understand exactly where the ...
Hakanaou's user avatar
0 votes
1 answer
53 views

Rate of convergence of mollified exponential on $[0, \infty)$

Consider the function $$ f(t)=e^{-at} $$ with $a>0$, $t \in [0, \infty)$ and let $\rho$ a smooth function on $[0, \infty)$ such that $$ \int_0^\infty \rho(t)=1 $$ and let $\rho_\delta(t):= \frac{1}{...
Marco's user avatar
  • 2,675
0 votes
0 answers
43 views

Can the convolution of distributions be defined for distributions "whose Fourier transform is non-smooth on null set"

In this https://web.abo.fi/fak/mnf/mate/kurser/fourieranalys/chap3.pdf Section 3.7: Convolutions (Page 79) lecture notes, it is said that the fourier transform of a convolution of distributions $\...
Confuse-ray30's user avatar
0 votes
2 answers
46 views

How to linearize time-variant ordinary differential equation (ODE), in particular, if there is a convolution term?

Letting $(\ * \ )$ denote convolution, I have an ODE of the form \begin{align} \dot{r} &= -7.4r -1.6f - 8.8 (f(t)*e^{-t}) - 10.4(f(t)*(te^{-t})) \\ \dot{f} &= 0.25r \end{align} with initial ...
travelingbones's user avatar
0 votes
0 answers
26 views

Proving that $\rho_\varepsilon\ast U\to U$ as $\varepsilon\to 0^+$

I'm trying to understand the proof of the following fact about tempered distributions. Let $U\in \mathscr{S}'$ be a tempered distribution, and let $\{\rho_\varepsilon\}$ be the family of standard ...
Kandinskij's user avatar
  • 3,536
0 votes
0 answers
54 views

Convolution of two characteristic functions

Given two intervals on XY-plane: $I_1$ lying on OX-axis, $I_2$ lying on OY-axis. Compute convolution of two characteristic functions of these intervals. $$\chi_{I_1} \ast \chi_{I_2}.$$ MY ATTEMPT: $(\...
Taylor's user avatar
  • 39
1 vote
0 answers
73 views

Is the convolution of a tempered distribution and a Schwartz function also a function?

Let $T \in \mathscr{S}'(\mathbb{R}^n)$ and $f \in \mathscr{S}(\mathbb{R}^n)$. We may define their convolution as $$(T * f)(\varphi) = T(\tilde{f}*\varphi)$$ where $\tilde{f}(x) = f(-x)$. The above ...
CBBAM's user avatar
  • 6,275
0 votes
1 answer
40 views

Calculate the limit of $\langle \partial_x f,\rho_\varepsilon \ast \chi_B \rangle $

Let $f(x_1,x_2)=x_2^2\chi_E$ where $E=\{(x_1,x_2)\in \mathbb{R}^2:x_1\geq 0 \}$ and let $B$ be the unit ball in $\mathbb{R}^2$. Since $f$ is locally integrable, it can be interpreted as a distribution ...
Kandinskij's user avatar
  • 3,536
1 vote
1 answer
131 views

Understanding of Fourier transform of the convolution of two distribution

In Yosida's Functional Analysis, he covers a topic on the Fourier transform of the convolution given by distributions (at the end of Section 3, Chapter 6). He begins by pointing out the Fourier ...
Eric's user avatar
  • 440
2 votes
0 answers
56 views

Inverse Fourier Transform of product of two functions in $L^p$

If $f \in L^{q}$ for all $1 \leq q \leq \infty$ and $g \in L^{p}$ for some $1<p \leq 2$, how is it possible to get that \begin{equation} \mathcal{F}^{-1}(f \mathcal{F}(g))(x)=\mathcal{F}^{-1}f*g(x)?...
heyy's user avatar
  • 119
4 votes
1 answer
106 views

Is the convolution of the Heaviside distribution with itself well defined?

During a lecture, we were told that for two distributions $S,T \in \mathcal{D'}(\mathbb{R})$ the convolution $S* T$ is defined if either $S$ or $T$ had a compact support, or, if both of them were ...
PhoenXHO's user avatar
  • 197
3 votes
0 answers
105 views

Are there functions with a Fourier transform but no Laplace transform?

Let $$A = \text{the collection of functions with a Fourier transform}$$ and $$B = \text{the collection of functions with a Laplace transform.}$$ What is the relationship between $A$ and $B$? Based on ...
user254385's user avatar
0 votes
1 answer
163 views

Tempered distribution by convolution with singular kernel

I am trying to learn more about convolutions with singularities and was hoping that someone could point me to a reference and perhaps check the following (i have it in my notes that this is from a MSE ...
APIs's user avatar
  • 505

15 30 50 per page
1
2 3 4 5
8