The CUNY Probability Seminar is typically held on Tuesdays from 4:15 to 5:15 pm at the CUNY Graduate Center Math Department. The exact dates, times and locations are mentioned below. If you want to talk at the seminar, or want to be added to/removed from the seminar mailing list, then please contact the Seminar Coordinator

*Shirshendu Chatterjee *(shirshendu at ccny dotcuny dotedu)

**Tuesday, February 7, 4:15 PM, Rm. 5417**

Speaker: Christian Benes, Brooklyn College, CUNY

Title: Where Planar Simple Random Walk Loses its Rotational Symmetry

Abstract: We present an explicit local limit theorem for simple random walk in dimensions 1 and 2, valid for all points in the range of the walk. The two-dimensional result allows to obtain a precise description of where and how planar simple random walk loses its approximate rotational symmetry.

**Tuesday, February 21, 4:15 PM, Rm. 5417**

Speaker: Daniel Ahlberg, IMPA, Brazil

**Tuesday, February 28, 4:15 PM, Rm. 5417**

Speaker: Warren Tai, Graduate Center, CUNY

Title: Is the Riemann zeta function in a short interval a 1-RSB spin glass?

Abstract: Fyodorov, Hiary & Keating established an intriguing connection between the maxima of log-correlated processes and the ones of the Riemann zeta function on a short interval of the critical line. In particular, they suggest that the analogue of the free energy of the Riemann zeta function is identical to the one of the Random Energy Model in spin glasses. In this paper, the connection between spin glasses and the Riemann zeta function is explored further. We study a random model of the Riemann zeta function and show that its two-overlap distribution corresponds to the one of a one-step replica symmetry breaking (1-RSB) spin glass. This provides evidence that the local maxima of the zeta function are strongly clustered.

**Tuesday, March 7, 4:15 PM, Rm. 5417**

Speaker: Guillaume Barraquand, Columbia University

Title: ASEP on the positive integers with an open boundary.

Abstract: The asymptotic fluctuations of a large class of growth processes and one dimensional particle systems are predicted to follow probability distributions from random matrix theory with 1/3 scaling exponents. It is conjectured that the limit theorems are universal, in the sense that they do not depend on the microscopic details of the model. However, the geometry and boundary conditions have an influence on the nature of limiting statistics. In this talk, we will explore the situation in a half space. We will recall the general predictions for such systems and present new results about the asymmetric simple exclusion process when particles travel on the positive integers coming out of a reservoir at the origin. Joint work with Alexei Borodin, Ivan Corwin and Michael Wheeler.

**Tuesday, March 14, 4:15 PM, Rm. 5417**

**The seminar is canceled because of an unavoidable circumstance.**

Speaker: Victor de la Peña, Columbia University, Department of Statistics

Title: On Boundary Crossing By Stochastic Processes

Abstract: In this talk, we introduce an approach to bound the expected time for stochastic processes to cross a boundary. The approach can be thought as a direct extension of the concept of boundary crossing of non-random functions to that of stochastic processes. It can also be viewed as an extension of Wald’s equations in sequential analysis to the case of stochastic processes with arbitrary dependence structure.

**Tuesday, March 21, 4:15 PM, Rm. 5417**

Speaker: Kei Kobayashi, Fordham University

Title: Stochastic differential equations modeling anomalous diffusions

Abstract: Standard Brownian motion composed with the inverse of a stable subordinator has been used to model a subdiffusion, which is a type of an anomalous diffusion where particles spread more slowly than the classical Brownian particles. This new stochastic process is significantly different from the Brownian motion; for example, it is neither Markovian nor Gaussian and has transition probabilities satisfying a time-fractional order heat equation.

**Tuesday, March 28, 4:15 PM, Rm. 5417**

Speaker: Konstantin Tikhomirov, Princeton University

Title: The spectral radius of a random matrix with heavy-tailed entries

Abstract: Consider a square matrix with independent and identically

distributed entries of zero mean and unit variance. It is well known

that if the entries have a finite fourth moment, then, in high

dimension, with high probability, the spectral radius is close to the

square root of the dimension. We conjecture that this holds true under

the sole assumption of zero mean and unit variance, in other words

that there are no outliers in the circular law. In this work we

establish the conjecture in the case of symmetrically distributed

entries with a finite moment of order larger than two. The proof uses

the method of moments combined with a novel truncation technique for

cycle weights that might be of independent interest. This is a joint

work with Charles Bordenave, Pietro Caputo and Djalil Chafaï.

**Tuesday, April 4, 4:15 PM, Rm. 5417**

Speaker: Martin Zerner, University of Tuebingen

Title: Recurrence and transience of contractive autoregressive

processes and related Markov chains

Abstract: We characterize recurrence and transience of nonnegative

multivariate autoregressive processes of order one with random

contractive coefficient matrix, of subcritical multitype Galton-Watson

branching processes in random environment with immigration, and of the

related max-autoregressive processes and general random exchange

processes. Our criterion is given in terms of the maximal Lyapunov

exponent of the coefficient matrix and the cumulative distribution

function of the innovation/immigration component.

**Tuesday, May 2, 4:15 PM, Rm. 5417**

Speaker: Matthew Junge, Duke University

Title: TBA

**Tuesday, May 9, 4:15 PM, Rm. 5417**

Speaker: Moumanti Podder, Courant Institute, NYU

Title: Rogue Fixed Points of Tree Automata on Galton-Watson Trees

Abstract: This talk will focus on tree automata, which are tools to analyze existential monadic second order properties of rooted trees. A tree automaton consists of a finite set of colours, and a map . Given a rooted tree and a colouring , we call compatible with automaton if for every , we have , where and is the number of children of with colour . Under the Galton-Watson branching process set-up, if denotes the probability that a node is coloured , then is obtained as a fixed point of a system of equations. But this system need not have a unique fixed point.Our question attempts to answer whether a fixed point of such a system simply arises out of analytic reasons, or if it admits of a probabilistic interpretation. I shall formally define interpretation, and provide a nearly complete description of necessary and sufficient conditions for a fixed point to not

Our question attempts to answer whether a fixed point of such a system simply arises out of analytic reasons, or if it admits of a probabilistic interpretation. I shall formally define interpretation, and provide a nearly complete description of necessary and sufficient conditions for a fixed point to not* *admit an interpretation, in which case it is called *rogue*.