Student Probability Seminar, Spring 2020
Wednesday 2-3 PM, 939 Evans
This is the UC Berkeley Student Probability Seminar, run by students in both the Mathematics and Statistics Departments at UC Berkeley. We meet on Wednesdays in 939 Evans from 2-3pm, right before the probability seminar.
This semester we will be studying percolation and Schramm-Loewner evolution (SLE). For percolation we will be relying on Percolation by Geoffrey Grimmett as well as a set of notes by Hugo Duminil-Copin. Grimmett's book is available for free (on campus through Springer Link) here, while Duminil-Copin's notes are here. For SLE we will be using the notes of Jason Miller, available here. We may also have talks on other probability topics by students, but this will be at a different time and will be announced as they happen.Previous Seminars: Fall 2019 , Spring 2019 , Fall 2018 , Fall 2017 , Summer 2017
|DATE||SPEAKER||TITLE (click for abstract below)|
|January 29||Milind Hegde||Basic tools of percolation|
|February 5||Izak Oltman||Basic tools of percolation, cont'd|
|February 12||Efe Aras||Exponential tail of cluster radius in the subcritical regime|
|February 19||Ella Hiesmayr||Exponential tail of cluster radius in the subcritical regime (cont'd)|
|February 26||Dan Daniel Erdmann-Pham||Harris-Kesten theorem and finer properties of infinite clusters|
|March 4||Adam Jaffe||Cardy's formula|
|March 11||N/A||(Cancelled due to COVID-19)|
|March 18||N/A||(Cancelled due to COVID-19)|
|March 25||N/A||(Spring break)|
|April 1||Milind Hegde||Complex analysis for SLE|
|April 8||Ella Hiesmayr||Complex analysis for SLE (cont'd)|
|April 15||Zsolt Bartha||Complex analysis for SLE -- half-plane capacity|
|April 22||Milind Hegde||Chordal Loewner evolution and SLE|
|April 29||Ian Francis||SLE and Stochastic calculus|
|May 13||Milind Hegde||The paramater of SLE for critical percolation|
Title and Abstracts
Basic tools of percolationMilind Hegde
We will introduce the basic problem of percolation theory. We will define and prove the non-triviality of the critical probability, introduce the notion of increasing events, and state the FKG and BK inequalities. If time permits we will discuss the proofs or proof sketches of these inequalities.
Basic tools of percolation, cont'dIzak Oltman
We will state and outline proofs of the FKG inequality, BK inequality, and Russo's formula. If time permits, we will state a result about the exponential decay of the diameter of the cluster containing the origin in the subcritical regime, and outline the main parts of the proof given in notes by Duminil-Copin.
Exponential tail of cluster radius in the subcritical regimeEfe Aras
This week, we will go over the proof of Russo's formula (Propositions 2.6 and 2.7 from the notes) and use this result to understand the rate of decay of radius of the finite component containing 0 when the probabilities of edge occurrences is below the critical threshold. We will explore potential ways to partition our system to understand how the decay occurs.
Exponential tail of cluster radius in the subcritical regime (cont'd)Ella Hiesmayr
Today we will finish proving that the probability that there is a path connecting 0 to the boundary decays exponentially with the diameter. We will then move on to prove a Russo-Seymour-Welsh type uniform lower bound for the probability of horizontal crossings of rectangles, that only depends on the ratio of the sides.
The Harris-Kesten theorem and finer properties of infinite clustersDan Daniel Erdmann-Pham
We will give a modern proof of Harris’ and Kesten’s classical result that the Bernoulli bond percolation threshold in \(\mathbb Z^2\) is 1/2, before moving on to study finer properties of the infinite cluster. In particular, we will show that it is almost surely unique, which, if time permits, we will use to revisit and simplify Harris’ and Kesten’s arguments.
Cardy's formulaAdam Jaffe
A central phenomenon in mathematical physics is that scaling limits of many random processes turn out to be conformally invariant. Today we will begin to discuss the notion of conformal invariance by studying the example of the scaling limit of certain crossing probabilities in the triangular/hexagonal lattice at criticality. We'll first review some historical work by Cardy and Carleson, and then we'll give a sketch of the proof of Smirnov's theorem which makes these ideas mathematically precise.
Complex analysis for SLEMilind Hegde
We will start by laying the groundwork for defining Schramm-Loewner evolutions, a family of conformally invariant random curves in the plane. We will mention a few of the areas in which they arise apart from critical percolation, and then review some of the complex analysis that will be needed, paying attention to illustrative examples. I will be following the notes of Jason Miller fairly closely.
Complex analysis for SLE (cont'd)Ella Hiesmayr
We will continue covering some prerequisites from complex analysis, in particular we will prove a distortion estimate for conformal maps, which corresponds to chapter 4 of Jason Miller's notes.
Complex analysis for SLE -- half-plane capacityZsolt Bartha
We will continue by analyzing the conformal transformations on the complex half-plane that are needed for the introduction of the SLE curves. On the way we will introduce the notion of half-plane capacity, and discuss the conformal invariance of Brownian motion as an important tool.
Chordal Loewner evolution and SLEMilind Hegde
We will introduce the chordal Loewner evolution and get an intuitive understanding (and prove the existence) of the driving function. If time permits we will define SLE using a conformal Markov property and by essentially setting the driving function to be a real Brownian motion.
SLE and Stochastic calculusIan Francis
We will first deduce Schramm’s theorem, which will finish the definition of SLE. Next, we will give an overview of some fundamental tools we need from stochastic calculus, including Ito's formula and the Levy characterization of Brownian motion. Time permitting, we will introduce Bessel processes and how they relate to the phases of SLE.
The parameter of SLE for percolationMilind Hegde
We will introduce the exploration process for percolation and discuss a localization property it enjoys. We will then show that the only value of \(\kappa\) such that \(SLE_\kappa\) has the analogous localization process is \(\kappa = 6\), thus showing that this is the only candidate for the scaling limit of the exploration process.