IDeAS Seminar: Nicholas Marshall, Yale University

Wed, Dec 5, 2018, 2:00 pm

Mixed Hölder functions, dyadic rectangles, and random matrices

In this talk, we describe a method of approximating mixed Hölder functions using random samples via a construction that involves dyadic rectangles and random matrix theory. An example of a function class that satisfies a mixed Hölder condition is the space of real-valued functions f on the unit square whose mixed partial derivative ∂^2 f/(∂ x ∂ y) is bounded. This bounded mixed derivative condition is not rotationally invariant, which limits the analytical tools that are available. One approach, due to Smolyak, is to represent these functions by linear combinations of indicator functions of dyadic rectangles. We present a randomized version of Smolyak's method in two dimensions. We also discuss ongoing work in higher dimensions, and applications to matrix organization. 

Nicholas Marshall is an applied mathematics PhD student at Yale University advised by Raphy Coifman and Stefan Steinerberger. He is interested in problems that involve an interplay between analysis and geometry, and applications of all types.

224 Fine Hall
Event category: 

Upcoming Events

*Online Conference* Analysis of Fluids and Related Topics: Traveling wave solutions to the free boundary Navier-Stokes equations, Speaker: Ian Tice, Carnegie Mellon University

*Online Seminar* Graduate Student Seminar: Locally Interacting Markov Chains on Random and Heterogeneous Graphs, Speaker, Mira Gordin

VIRTUAL IDeAS Seminar: Yong Sheng Soh, National University of Singapore

Wed, Mar 17, 2021, 10:30 am
Location: via Zoom - Link TBA