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Questions tagged [fourier-transform]

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1 vote
0 answers
53 views

Operator norm of some type of discrete Fourier matrix

Let $N$ be a natural number and let $w$ be a complex number. We define the $N\times N$ matrix $C_w=(a_{k,l})_{k,l=1}^N$ as follows, $$ a_{k,l}=\begin{cases}1 & l=k+1\\ w &...
ABB's user avatar
  • 4,030
0 votes
1 answer
222 views

Carleson's theorem: proof of a lemma

I am reading the paper of Michael Lacey called "Carleson's theorem: proof, complements, variations" 1, on Carleson's theorem in Fourier analysis. At the bottom of page 20 at the beginning of ...
Alexander's user avatar
-2 votes
0 answers
88 views

Is the product of exponentiated elliptic curve basis elements invariant under FFT of scalars?

I am working with an elliptic curve defined over a finite field $\mathbb{F}_p$ and have a basis set of points ${g_0, g_1, \ldots, g_n}$. When I perform the FFT on these points, I obtain a new basis ${...
Nerses Asaturyan's user avatar
-2 votes
0 answers
124 views

Plancherel's Theorem in wider space

By Planchere's Theorem, we have for $f$, $g$ in $L^2(\mathbb{R}^n)$ we have $$\int_{\mathbb{R}^n}fg=\int_{\mathbb{R}^n}\hat{f}\hat{g}$$ Also, by distribution theorey, we can define the Fourier ...
Holden Lyu's user avatar
0 votes
1 answer
138 views

Generalisation of Paley–Wiener type results for unbounded sets

Do you know an unbounded open set $A\subset \mathbb{R}^d$, $d\geq 2$ with the following property: if some integrable function $f$ on $\mathbb{R}^d$ has its Fourier transform vanishing on $A^c$ and all ...
kaleidoscop's user avatar
  • 1,332
0 votes
0 answers
42 views

Function samplable from the past and Hardy spaces

What I am ultimately looking for is a $L^2$ function $f$ on the real line that can be sampled from the past, i.e. for each $x<0$ there are $L^2$ coefficients $c_n(x)$, $n\in \mathbb{N}$ such that, ...
kaleidoscop's user avatar
  • 1,332
0 votes
0 answers
20 views

Is there a classification of 2D projective convolution kernels?

Is there any classification of all distributions on $\mathbb{R}^2$ such that they are equal to the convolution with themselves? i.e. given a distribution $\gamma$ under which conditions $$ \gamma\star\...
Nicolas Medina Sanchez's user avatar
0 votes
1 answer
121 views

Why $\int_{S^{n-1}} |\hat{f}(w)|^2d\sigma(w) < \infty$?

Let $f\in L^p(\Bbb R^n)$ and $S^{n-1}$ be the Unit sphere. Why $\int_{S^{n-1}} |\hat{f}(w)|^2d\sigma(w)<\infty$ when $1<p<2$. $\hat{f}$ is the Fourier transform fora function f.
Edward's user avatar
  • 9
3 votes
0 answers
103 views

How wild is the maximal ideal space of the Fourier-Stieltjes algebra of the real line?

The Fourier-Stieltjes algebra of $\mathbb R$ is the set of all sufficiently nice measures on $\mathbb R$. The vector product is convolution of measures. By identifying each measure with its Fourier ...
Daron's user avatar
  • 1,915
1 vote
0 answers
41 views

Fourier transform relation for spherical convolution

Let $f$ and $g$ be two functions defined over the 2d sphere $\mathbb{S}^2$. The convolution between $f$ and $g$ is defined as a function $f * g$ over the space $SO(3)$ of 3d rotations as $$(f*g)(R) = \...
Goulifet's user avatar
  • 2,226
1 vote
0 answers
64 views

Is there an generalisation of convolution theorem to integral transforms

Basic convolutions can be computed efficiently by taking fourier transforms and applying the convolution theorem. Is there something analogous for a more general transform, where we have a varying ...
nathan pannifer's user avatar
0 votes
1 answer
114 views

Clarification on the Interpretation of Fourier Coefficients in the Context of Fourier Projections

I am currently studying a paper (Section 3.4.3 of Lanthaler, Mishra, and Karniadakis - Error estimates for DeepONets: a deep learning framework in infinite dimensions) where the authors define an ...
Mohammad A's user avatar
2 votes
0 answers
95 views

Construction of an analytic function whose Fourier transformation has compact support [closed]

Is there a non-constant real analytic function $f$ on $\mathbb{R^2}$ satisfying the following properties? $f$ vanishes on $x$-axis and $y$-axis; the Fourier transformation $\hat{f}$ of $f$ has a ...
adobereader's user avatar
0 votes
1 answer
100 views

Spectral theory: a key to unlocking efficient insights in network datasets

In the context of directed or undirected graphs, matrices such as adjacency and Laplacian matrices are commonly used. The eigenbasis of these matrices addresses some practical implications, such as ...
ABB's user avatar
  • 4,030
2 votes
0 answers
192 views

Finding specific coefficients of product of high-dimensional Fourier series faster than FFT

I need a fast algorithm to perform a specific Fourier-type computation in my physics research. Suppose I have the following two Fourier series in three dimensions $$ a(t_1,t_2,t_3)=\sum_{j=-n}^{n}\...
groupoid's user avatar
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