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Student Probability

Organizer: Christian Serio

Past Events

May
31
Date4:00 PM
Location
383N
Speaker
Alexandra Stavrianidi (Stanford)

Abstract

May
17
Date4:00 PM
Location
383N
Speaker
Shengtong Zhang (Stanford)

Abstract

I plan to cover Newman-Piza's theorem that in two dimensions, the FPP passage time T(0, x) has super-constant fluctuation (subject to some assumptions about the weight distribution). I will follow the original paper of…

May
10
Date4:00 PM
Location
383N
Speaker
Ruochuan Xu (Stanford)

Abstract

I will sketch Auffinger and Damron’s proof of the universal relation \chi = 2 \ksi – 1 assuming the existence of the fluctuation exponent \chi and the wandering exponent \ksi in the sense of Chatterjee. The talk will be based on section 4.3 of the notes and the papers …

May
03
Date4:00 PM
Location
383N
Speaker
Michael Howes (Stanford)

Abstract

I will talk about fluctuations in first passage percolations. I will cover the linear and sublinear variance bounds in Sections 3.1 and 3.2 of “Fifty years of FFP”. This material is also reviewed in the survey “Fluctuations in First Passage Percolation” by Philippe Sosoe: …

Apr
26
Date4:00 PM
Location
383N
Speaker
Fred Rajasekaran (Stanford)

Abstract

Apr
19
Date4:00 PM
Location
383N
Speaker
Andrew Lin

Abstract

First- and last-passage percolation are models in which weights are placed on the edges of a graph (usually Z^d), and where the objects of interest are the shortest (respectively longest) paths from the origin to various points on the graph. I'll describe both models and describe…

Mar
08
Date4:00 PM
Location
383N
Speaker
Michael Howes

Abstract: The set of all n by n orthogonal (or unitary) matrices form a compact topological group. This means that orthogonal matrices have a uniform distribution called Haar measure. A natural question is, what do typical orthogonal or unitary matrices “look like”? We will answer two version of…

Mar
01
Date4:00 PM
Location
383N
Speaker
Andrew Lin

Abstract: This quarter, we've explored the empirical distribution of the eigenvalues for general Wigner matrices, showing convergence in distribution to the semicircle law for Hermitian matrices. As Christian described, the special case with Gaussian entries allows us to say more and get an…

Feb
23
Date4:00 PM
Location
383N
Speaker
Jiyun Park

Abstract: The circular law states that the spectral measure of a square matrix with i.i.d. entries of mean zero must converge to the uniform distribution on the unit disk in the complex plane. This result is analogous to the semicircular law for Wigner matrices, but the spectral instability of…

Feb
16
Date4:00 PM
Location
383N
Speaker
Alexandra Stavrianidi (Stanford)

Abstract: In 1980, Voiculescu introduced free probability theory, which lets us study non-commutative random variables, such as random matrices. In particular, in the free probability CLT the Gaussian limit is replaced by a semi-circular limit, which implies the semi-circular law. So far,…