Computer Science – Information Theory
Scientific paper
2009-09-08
Computer Science
Information Theory
Notes on the derivation of the L^p-boundedness of the Hilbert transform
Scientific paper
The Hilbert transform is essentially the \textit{only} singular operator in one dimension. This undoubtedly makes it one of the the most important linear operators in harmonic analysis. The Hilbert transform has had a profound bearing on several theoretical and physical problems across a wide range of disciplines; this includes problems in Fourier convergence, complex analysis, potential theory, modulation theory, wavelet theory, aerofoil design, dispersion relations and high-energy physics, to name a few. In this monograph, we revisit some of the established results concerning the global behavior of the Hilbert transform, namely that it is is weakly bounded on $\eL^1(\R)$, and strongly bounded on $\eL^p(\R)$ for $1 < p <\infty$, and provide a self-contained derivation of the same using real-variable techniques.
No associations
LandOfFree
L^p boundedness of the Hilbert transform does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with L^p boundedness of the Hilbert transform, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and L^p boundedness of the Hilbert transform will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-107920