Spring 2024 Analysis Seminar

Organizer: Shaoming Guo

Email: shaomingguo (at) math (dot) wisc (dot) edu

Time: Wed 3:30--4:30

Room: B223

We can use B223 from 4:30 to 5:00 for discussions after talks.

All talks will be in-person unless otherwise specified.

In some cases the seminar may be scheduled at different time to accommodate speakers.

If you would like to subscribe to the Analysis seminar list, send a blank email to analysis+join (at) g-groups (dot) wisc (dot) edu

	Date	Speaker	Institution	Title	Host
1	We, Jan. 24, 2024
2	We, Jan. 31	Sunggeum Hong	Chosun University	The Hörmander multiplier theorem for n-linear operators and its applications	Andreas
3	We, Feb. 7	Donald Stull	University of Chicago	Dimensions of pinned distance sets in the plane	Betsy, Shaoming, and Jake F.
4	We, Feb. 14
	Fr, Feb. 16	Jack Lutz	Iowa State University	Algorithmic Fractal Dimensions	Shaoming	department colloquium, 4-5pm
5	We, Feb. 21	Andrei Martinez-Finkelshtein	Baylor	Zeros of polynomials and free probability	Sergey
6	We, Feb. 28	Alex Rutar	University of St. Andrews	Dynamical covering arguments via large deviations and non-convex optimization	Andreas
7	We, Mar. 6	Song-Ying Li	UC-Irvine	Sup-norm estimates for d-bar and Corona Problems	Xianghong
8	We, Mar. 13
9	We, Mar. 20	Xiaoqi Huang	LSU		Shaoming
10	We, Mar. 27	Spring recess	spring recess		spring recess
11	We, Apr. 3
12	We, Apr. 10	Victor Bailey	University of Oklahoma		Betsy
13	We, Apr. 17	Jianhui (Franky) Li	Northwestern University		Betsy
14	We, Apr. 24
15	We, May 1

Abstracts

Donald Stull

Title: Dimensions of pinned distance sets in the plane

Abstract: In this talk, we discuss recent work on the Hausdorff and packing dimension of pinned distance sets in the plane. Given a point x in the plane , and a subset E , the pinned distance set of E with respect to x is the set of all distances between x and the points of E . An important open problem is understanding the Hausdorff, and packing, dimensions of pinned distance sets. We will discuss ongoing progress on this problem, and present improved lower bounds for both the Hausdorff and packing dimensions of pinned distance sets. We also discuss the computability-theoretic methods used to achieve these bounds.

Jack Lutz

Title: Algorithmic Fractal Dimensions

Algorithmic fractal dimensions are computability theoretic versions of Hausdorff dimension and other fractal dimensions. This talk will introduce algorithmic fractal dimensions with particular focus on the Point-to-Set Principle. This principle has enabled several recent proofs of new theorems in geometric measure theory. These theorems, some solving long-standing open problems, are classical (meaning that their statements do not involve computability or logic), even though computability has played a central in their proofs.

Andrei Martinez-Finkelshtein

Title: Zeros of polynomials and free probability

Abstract: I will discuss briefly the connections of some problems from the geometric theory of polynomials to notions from free probability, such as free convolution. More specifically, I will illustrate it with two examples: - real zeros of some hypergeometric polynomials, their monotonicity, interlacing, and asymptotics; - flow of zeros of polynomials under iterated differentiation.

Alex Rutar

Title: Dynamical covering arguments via large deviations and non-convex optimization

Abstract: Most classical notions of fractal dimensions (such as the Hausdorff, box, and Assouad dimensions) are defined in terms of optimal covers, or families of balls minimizing some form of cost function of their radii. For general sets, the optimal covers can be forced to essentially have arbitrary complexity. But for sets satisfying some form of dynamical invariance (which is the case for the majority of well-studied ‘fractal’ sets), one hopes that the underlying dynamics can be used to inform the optimal choice of cover in a meaningful way. In this talk, I will present some techniques drawing on insights from large deviations theory and continuous optimization theory which have proven to be useful technical tools in dimension theory. To highlight these techniques, I will discuss a recent result (joint with Amlan Banaji, Jonathan Fraser, and István Kolossváry) on the dimension theory of sets invariant under certain families of affine transformations in the plane.

Song-Ying Li

Title: Sup-norm estimates for d-bar and Corona problems

In this talk, we will present some development of Corona problem of several complex variables and discuss its relation to the solution of the sup-norm estimate for d-bar, the Berndtsson conjecture and its application to Corona problem. We will also discuss the application of Hormander weighted L^2 estimates for d-bar to Corona problem.