Estimates for Oscillatory Integral Operators

Mathematics – Classical Analysis and ODEs

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Princeton University thesis, 71 pages, 23 figures

Scientific paper

This thesis is devoted to asymptotic norm estimates for oscillatory integral operators acting on the L^2 space of functions of one real variable. The operators in question have compact support and an oscillatory kernel of the form exp(i Lambda S(x,y)), where S(x,y) is a smooth real phase function, and Lambda is a large real number. I study how the norm of the operator decays as Lambda goes to infinity, and how the rate of this decay can be determined from the properties of the phase function S(x,y). For C^infinity phase functions I prove results formulated in terms of the Newton polygon of S(x,y), improving previously known estimates by Phong and Stein, and Seeger. My estimates are best possible or differ from the best possible ones by at most a power of log Lambda. Main results of the thesis are based on a geometric analysis of the zero set of the Hessian S''_{xy} using Puiseux decompositions, and have appeared before in [math.CA/9911153]. New results obtained by a different method based on a stopping time argument are also included.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Estimates for Oscillatory Integral Operators 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 Estimates for Oscillatory Integral Operators, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Estimates for Oscillatory Integral Operators will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-231573

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.