Spring 2024 Analysis Seminar: Difference between revisions
No edit summary |
No edit summary |
||
Line 157: | Line 157: | ||
===[[ | ===[[Jack Lutz]]=== | ||
Title: Dimensions of pinned distance sets in the plane | Title: Dimensions of pinned distance sets in the plane | ||
Line 163: | Line 163: | ||
===[[Donald Stull]]=== | |||
Title: Dimensions of pinned distance sets in the plane | |||
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. | |||
Revision as of 03:43, 11 February 2024
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 | 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 | Andreas | ||
7 | We, Mar. 6 | Song-Ying Li | UC-Irvine | Xianghong | ||
8 | We, Mar. 13 | |||||
9 | We, Mar. 20 | |||||
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
Jack Lutz
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.
Donald Stull
Title: Dimensions of pinned distance sets in the plane 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.