scholarly journals Titchmarsh theorems for Fourier transforms of Hölder–Lipschitz functions on compact homogeneous manifolds

2019 ◽  
Vol 189 (1) ◽  
pp. 23-49 ◽  
Author(s):  
Radouan Daher ◽  
Julio Delgado ◽  
Michael Ruzhansky
1998 ◽  
Vol 21 (2) ◽  
pp. 397-401 ◽  
Author(s):  
M. S. Younis

The purpose of the present work is to study the order of magnitude of the Fourier transformsfˆ(λ)for largeλof complex-valued functionsf(z)sating certain Lipschitz conditions in the non-Euclidean hyperbolic planeH2.


Author(s):  
M. S. Younis

It is well known that if Lipschitz conditions of a certain order are imposed on a functionf(x), then these conditions affect considerably the absolute convergence of the Fourier series and Fourier transforms off. In general, iff(x)belongs to a certain function class, then the Lipschitz conditions have bearing as to the dual space to which the Fourier coefficients and transforms off(x)belong. In the present work we do study the same phenomena for the wider Dini-Lipschitz class as well as for some other allied classes of functions.


1997 ◽  
Vol 20 (4) ◽  
pp. 817-822 ◽  
Author(s):  
M. S. Younis

The Fourier transforms of certain Lipschitz functions are discussed and compared with the Hankel transforms of these functions and with their Fourier transforms on the Euclidean Cartan Motion groupM(n),n≥2.


1992 ◽  
Vol 15 (3) ◽  
pp. 609-612
Author(s):  
M. S. Younis

In [4] we proved some theorems on the Fourier Transforms of functions satisfying conditions related to the Dini-Lipschitz conditions on then-dimensional Euclidean spaceRnand the torus groupTn. In this paper we extend those theorems for functions with Fourier series on Vilenkin groups.


Author(s):  
M. S. Younis

We study the order of magnitude of the Fourier transforms of certain Lipschitz functions on the Heisenberg groupHn. We compare our conclusions with some previous results in the field.


1983 ◽  
Vol 182 (4) ◽  
pp. 537-548 ◽  
Author(s):  
Tong-Seng Quek ◽  
Leonard Y. H. Yap

2001 ◽  
Vol 27 (7) ◽  
pp. 439-448 ◽  
Author(s):  
M. S. Younis

We study the order of magnitude of the Fourier transforms of certain Lipschitz functions on the special linear group of real matrices of order two.


2016 ◽  
Vol 13 (6) ◽  
pp. 4401-4411 ◽  
Author(s):  
S. Fahlaoui ◽  
M. Boujeddaine ◽  
M. El Kassimi

Author(s):  
W. Chiu ◽  
M.F. Schmid ◽  
T.-W. Jeng

Cryo-electron microscopy has been developed to the point where one can image thin protein crystals to 3.5 Å resolution. In our study of the crotoxin complex crystal, we can confirm this structural resolution from optical diffractograms of the low dose images. To retrieve high resolution phases from images, we have to include as many unit cells as possible in order to detect the weak signals in the Fourier transforms of the image. Hayward and Stroud proposed to superimpose multiple image areas by combining phase probability distribution functions for each reflection. The reliability of their phase determination was evaluated in terms of a crystallographic “figure of merit”. Grant and co-workers used a different procedure to enhance the signals from multiple image areas by vector summation of the complex structure factors in reciprocal space.


Author(s):  
E. Voelkl ◽  
L. F. Allard

The conventional discrete Fourier transform can be extended to a discrete Extended Fourier transform (EFT). The EFT allows to work with discrete data in close analogy to the optical bench, where continuous data are processed. The EFT includes a capability to increase or decrease the resolution in Fourier space (thus the argument that CCD cameras with a higher number of pixels to increase the resolution in Fourier space is no longer valid). Fourier transforms may also be shifted with arbitrary increments, which is important in electron holography. Still, the analogy between the optical bench and discrete optics on a computer is limited by the Nyquist limit. In this abstract we discuss the capability with the EFT to change the initial sampling rate si of a recorded or simulated image to any other(final) sampling rate sf.


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