Speaker: Sujit Sakharam Damase (Ph.D. Student)
Date: 19th August, 2025
Time: 9:15 PM-10:15 PM
Venue: LH-1
Abstract: The phrase uncertainty principle refers to a wide array of results in several disparate fields of mathematics, all of which capture the notion that a function and its Fourier transform cannot both be highly localized. The measure of localization varies from one uncertainty principle to the next, and well-studied notions include the variance (and higher moments), the entropy, the support-size, and the rate of decay at infinity. Similarly, the proofs of the various uncertainty principles rely on a range of tools from analysis, from the elementary to the very deep.
This talk will explore the concept of uncertainty principles, beginning with a review of classical results before presenting a modern, unifying framework. Drawing on recent work by Wigderson and Wigderson (2021), we will demonstrate that a broad range of uncertainty principles can be derived from a single, surprisingly simple result.
The proof of this key result relies on a fundamental property of the Fourier transform: that it and its inverse are bounded operators from the space
. This elegant approach not only provides a unified perspective on many established principles but also offers a powerful tool for developing new variants. We will show how this framework can be used to prove new variants of uncertainty principles that apply to different measures of localization and to operators beyond the Fourier transform. If time permits, I will talk about uncertainty on non-commutative groups.
Prerequisites: Although I will try to keep it self-contained, familiarity with Fourier analysis would be assumed.