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.	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	Curvature and growth rates of log-quasimodes on compact manifolds	Shaoming
10	We, Mar. 27	Spring recess	spring recess		spring recess
11	We, Apr. 3	Shengwen Gan	UW Madison	On the maximal Bochner--Riesz operator
12	We, Apr. 10	Victor Bailey	University of Oklahoma	Frames via Unilateral Iterations of Bounded Operators	Betsy
13	We, Apr. 17	Jianhui (Franky) Li	Northwestern University	Weighted Fourier restriction estimate	Betsy
14	We, Apr. 24	Sergey Denisov	UW Madison
15	We, May 1	Yunfeng Zhang	Peking University		Simon

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.

Xiaoqi Huang

Title: Curvature and growth rates of log-quasimodes on compact manifolds

Abstract: We will discuss the relation between curvature and L^q norm estimates of spectral projection operators on compact manifolds. We will present a new way that one can hear the shape of compact space forms, if the shape refers to curvature, and the radios used are the L^q-norm of quasimodes. We will also discuss decay rates of L^2-norms over shrinking geodesic tubes for quasimodes under various curvature assumptions. This is based on joint work with Christopher Sogge.

Jianhui (Franky) Li

Title: Weighted Fourier restriction estimate

Abstract: We established an $L^p$ weighted Fourier restriction estimate in higher dimensions. In this talk, I will share the intriguing secret behind the crazy exponents found in our induction formula. Surprisingly, these exponents can be computed directly using an intuitive but rough argument. This is a joint work with Xiumin Du, Hong Wang and Ruixiang Zhang.

Victor Bailey

Title: Frames via Unilateral Iterations of Bounded Operators

Abstract: Dynamical Sampling is, in a sense, a hypernym classifying the set of inverse problems arising from considering samples of a signal and its future states under the action of a bounded linear operator. Recent works in this area consider questions such as when can a given frame for a separable Hilbert Space, $\{f_k\}_{k \in I} \subset H$, be represented by iterations of an operator on a single vector and what are necessary and sufficient conditions for a system, $\{T^n \varphi\}_{n=0}^{\infty} \subset H$, to be a frame? In this talk, we will discuss the connection between frames given by iterations of a bounded operator and the theory of model spaces in the Hardy-Hilbert Space as well as necessary and sufficient conditions for a system generated by the orbit of a pair of commuting bounded operators to be a frame. This is joint work with Carlos Cabrelli.