Seminars Sorted by Series

Members’ Seminar

Jan
25
2021

Members’ Seminar

A nonabelian Brunn-Minkowski inequality
2:00pm|Simonyi Hall 101 and Remote Access

The celebrated Brunn-Minkowski inequality states that for compact subsets $X$ and $Y$ of $\Bbb{R}^d$, $m(X+Y)^{1/d} \geq m(X)^{1/d}+m(Y)^{1/d}$ where $m(\cdot)$ is the Lebesgue measure. We will introduce a conjecture generalizing this inequality to...

Feb
08
2021

Members’ Seminar

The top-heavy conjecture for vectors and matroids
2:00pm|Simonyi Hall 101 and Remote Access

A 1948 theorem of de Bruijn and Erdős says that if $n$ points in a projective plane do not lie all on a line, then they determine at least n lines. More generally, Dowling and Wilson conjectured in 1974 that for any finite set of vectors spanning a...

Feb
15
2021

Members’ Seminar

No seminar: Presidents' Day
2:00pm|Simonyi Hall 101 and Remote Access
Feb
22
2021

Members’ Seminar

Astrophysical fluid dynamics
2:00pm|Simonyi Hall 101 and Remote Access

Most of the visible matter in the Universe is a plasma, that is a dilute gas of ions, electrons, and neutral atoms. In many circumstances, the dynamics of this plasma can be modeled in the continuum limit, using the equations of fluid mechanics...

Mar
01
2021

Members’ Seminar

The Value of Errors in Proofs
2:00pm|Simonyi Hall 101 and Remote Access

A few months ago, a group of theoretical computer scientists posted a paper on the Arxiv with the strange-looking title "MIP* = RE", impacting and surprising not only complexity theory but also some areas of math and physics. Specifically, it...

Mar
08
2021

Members’ Seminar

Higher Representation Theory
2:00pm|Simonyi Hall 101 and Remote Access

New types of symmetries have been considered in algebra and algebraic geometry and a higher analog of representation theory has been developed to answer questions of classical representation theory. Geometric representation theory can be viewed as...

Mar
15
2021

Members’ Seminar

Estimating the mean of a real valued distribution
2:00pm|Simonyi Hall 101 and Remote Access

I revisit the basic statistical problem of estimating the mean of a real-valued distribution. I will introduce an estimator with the guarantee that "our estimator, on *any* distribution, is as accurate as the sample mean is for the Gaussian...