I will present the ideas behind the proof of so called circular law, which says that the empirical spectral distribution of a matrix with iid entries (expectation 0 and variance 1) converges as the dimension tends to infinity to the uniform distribution on the disk. I will discuss the key technical lemmas and show how one can deduce the circular law from these lemmas.
The talk is based on the
survey paper.
Friday, July 23, 10:00 - 11:00, via Zoom
The lecture aims to give a different take on the $S$-transform. We will show that its multiplicative inverse, the so-called $T$-transform, has easier to determine coefficients and allows an intuitive justification of the multiplication property.
Friday, July 16, 10:00 - 11:00, via Zoom
The lecture aims to give a different take on the $S$-transform. We will show that its multiplicative inverse, the so-called $T$-transform, has easier to determine coefficients and allows an intuitive justification of the multiplication property.
Friday, July 9, 10:00 - 11:00, via Zoom
I will conclude the proof of the theorem Haagerup-Larsen [2000] which shows how the $S$-transform can be used to give the Brown measure of a $R$-diagonal operator.
Friday, July 2, 10:00 - 11:00, via Zoom
I will continue the proof of the theorem Haagerup-Larsen [2000] which shows how the $S$-transform can be used to give the Brown measure of a $R$-diagonal operator.
Friday, June 25, 10:00 - 11:00, via Zoom
I will start the proof of the theorem Haagerup-Larsen [2000] which shows how the $S$-transform can be used to give the Brown measure of a $R$-diagonal operator.
Friday, June 18, 10:00 - 11:00, via Zoom
I will review the basic construction of the $R$ and $S$ transforms.
Friday, June 11, 10:00 - 11:00, via Zoom
A crucial part of the calculation of the Brown measure
of $R$-diagonal operators is the representation of every
$R$-diagonal operator as the product of a freely independent
Bernoulli random variable and an even operator.
Friday, June 4, 10:00 - 11:00, via Zoom
In this lecture I will free independence and $R$-diagonal operators, which will be the focus for the rest of the lectures.
Friday, May 28, 10:00 - 11:00, via Zoom
In this lecture I will review what is meant by the circular operator.
Friday, May 21, 10:00 - 11:00, via Zoom
Ian Charlesworth (Berkeley)
In this lecture I continue to describe the basic properties of the
Brown measure.
Friday, May 14, 10:00 - 11:00, via Zoom
Ian Charlesworth (Berkeley)
In this lecture I continue to describe the basic properties of the
Brown measure.
Friday, May 7, 10:00 - 11:00, via Zoom
Ian Charlesworth (Berkeley)
In this lecture I describe the basic properties of the
Brown measure.
Friday, April 30, 10:00 - 11:00, via Zoom
In this lecture I will complete the proof that
$\lambda \mapsto L(a - \lambda 1)$ is subharmonic.
Friday, April 23, 10:00 - 11:00, via Zoom
In this lecture I will discuss some basic facts about
subharmonic functions. Our goal will be to show that
$\lambda \mapsto L(a - \lambda 1)$ is subharmonic.
Friday, April 16, 10:00 - 11:00, via Zoom
In this lecture I will prove the additivity, $L(ab) =
L(a) + L(b)$, of the Fuglede-Kadison
logarithm in a finite von-Neumann algebra,
Thursday, April 1, 10:00 - 11:00, via Zoom
In this lecture I will present the Fuglede-Kadison
logarithm, $L(a) = \tau(\log(|a|))$, of a non-normal operator in $(M,
\tau)$, a finite von-Neumann algebra, and determine its
basic properties.
Thursday, March 25, 10:00 - 11:00, via Zoom
In this initial lecture I will present a broad outline
of Brown measure and show that the eigenvalue
distribution (normalized to be a probability measure) of
a matrix $A$ is the Brown measure of $A$.
Previous Schedules
Getting to Jeffery Hall from the
Hotel Belvedere