The method of Bellman functions originated in the theory of optimal control. In recent years it has been applied to a surprising variety of problems in harmonic analysis. The PI plans to further develop the applicability of the method of Bellman functions to a broader range of problems and study its connection with other common tools that appear in harmonic analysis. This method plays a crucial role in the PI's work concerning singular integral operators in weighted and unweighted spaces. The problems include sharp numerical bounds for the Beurling operator in Lebesgue spaces (the famous p-1 problem) as well as suitable sharp norm estimates for Riesz transforms in n dimensional weighted Lebesgue spaces, preferrably independent of the dimension. A related direction the PI is interested in is concerned with boundedness of a particular singular integral operator such as the Hilbert transform if the source and the target space have a different weight.

This project lies in harmonic analysis, which has been a central area of mathematics for a long time. Many questions in other fields reduce to questions best posed and solved in the framework of analysis. Such questions include the existence of special building blocks of functions (wavelets) that are particularly well-suited for applications in signal processing. Other questions include the boundedness property of so-called singular integral operators, which are of extreme importance in problems in partial differential equations, and physics. The PI's work consists of studying the continuity properties of such operators in detail.

We often study singular integral operators through their actions on the building blocks, using a technique inherited and modified from stochastic optimal control. This method, called method of Bellman functions, provides a simpler yet often more powerful alternative to very involved tools in harmonic analysis. In addition, through its relative simplicity still being accessible to those with less specialized background knowledge, for example scientists in other fields. As such it serves both as link to other scientific fields, furthering interdisciplinary communication and provides a possibility of early involvement of undergraduates or beginning graduate students into research.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Type
Standard Grant (Standard)
Application #
0630852
Program Officer
Joe W. Jenkins
Project Start
Project End
Budget Start
2006-02-13
Budget End
2007-06-30
Support Year
Fiscal Year
2006
Total Cost
$11,948
Indirect Cost
Name
University of Texas Austin
Department
Type
DUNS #
City
Austin
State
TX
Country
United States
Zip Code
78712