10/6/2005
Terence Tao
UCLA
Quadratic Fourier Analysis
Traditional (linear) Fourier analysis is based on analyzing a function via its correlation with linear phases such as $\exp(2 \pi i \xi x)$.
More recently, some progress has been made in developing quadratic Fourier analysis, in which one uses correlations with quadratic phases also to analyze the behaviour of a function. Most notably, this approach has been very useful for understanding the occurence of progressions of length four inside a given set (linear Fourier analysis can only handle progressions of length three). We discuss the state of the art and some recent results in this area.