scholarly journals A note on the discrete Fourier restriction problem

2018 ◽  
Vol 146 (9) ◽  
pp. 3839-3846 ◽  
Author(s):  
Xudong Lai ◽  
Yong Ding
Author(s):  
Rainer Mandel ◽  
Robert Schippa

AbstractWe solve time-harmonic Maxwell’s equations in anisotropic, spatially homogeneous media in intersections of $$L^p$$ L p -spaces. The material laws are time-independent. The analysis requires Fourier restriction–extension estimates for perturbations of Fresnel’s wave surface. This surface can be decomposed into finitely many components of the following three types: smooth surfaces with non-vanishing Gaussian curvature, smooth surfaces with Gaussian curvature vanishing along one-dimensional submanifolds but without flat points, and surfaces with conical singularities. Our estimates are based on new Bochner–Riesz estimates with negative index for non-elliptic surfaces.


2010 ◽  
Vol 132 (4) ◽  
pp. 1031-1076 ◽  
Author(s):  
Spyridon Dendrinos ◽  
James Wright

This chapter presents three sets of problems and explains how these questions can be answered in an (almost) complete way in terms of Newton polyhedra associated to the given surface S (here, a smooth, finite type hypersurface in R³ with Riemannian surface measure dσ‎). The first problem is a classical question about estimates for oscillatory integrals, and there exists a huge body of results on it, in particular for convex hypersurfaces. The other two problems had first been formulated by Stein: the study of maximal averages along hypersurfaces has been initiated in Stein's work on the spherical maximal function, and also the idea of Fourier restriction goes back to him.


2005 ◽  
Vol 48 (2) ◽  
pp. 260-266 ◽  
Author(s):  
Daniel M. Oberlin

AbstractWe establish a sharp Fourier restriction estimate for a measure on a k-surface in ℝn, where n = k(k + 3)/2.


2014 ◽  
Vol 687-691 ◽  
pp. 3936-3941
Author(s):  
Jian Hong Xu ◽  
Yan Li Feng ◽  
Wen Wen Fan

for the mutual restriction problem of precision and efficiency of current WIFI positioning technology, we propose a locating algorithm combining the Location Fingerprint with the Physical Decay Model and carry out de-noising treatment during the data collection. Use direct physical decay model to position within a tolerable error range. When the error exceeds the threshold, combined with location fingerprint algorithm, we use KNN for further exact match. Experients show that this method can effectively reduce the errors caused by unstable RSSI and improve the positioning accuracy and efficiency.


Sign in / Sign up

Export Citation Format

Share Document