> BUCXVII: 28.11.19  30.11.19
Juan Carlos Pardo (CIMAT, México)
Course

Title and Abstract

Manuel Cabezas
A

Title: The ant in the labyrinth.
Abstract: The ant in the labyrinth is a term coined in 1976 by PierreGilles de Gennes to refer to the simple random walk on a critical percolation cluster of $\mathbb{Z}^d$.
He proposed to study this model since it is the canonical example of diffusion in critical environments.
The goal of this minicourse is to present the history of this model and to communicate some of the recent progress towards understanding this model in the highdimensional case. In particular, we will present a very detailed result obtained for the simple random walk on critical branching random walks in $\mathbb{Z}^d$. This simplified model is strongly believed to share a common scaling limit with the critical percolation case, a behaviour that is expected to be universal in high dimension.
Presenting this topic will lead us to discuss a wide variety of subjects: random walks in random environments, critical trees, critical graphs, the superBrownian motion, etc.

Laura Eslava
B

Title: The differential equation method and applications
Abstract: The differential equation method was pioneered around 1970 and it made its way through continuoustime Markov chains, foundations in computer science until its popularization in the analysis of randomized combinatorial algorithms by Wormald in the 1990’s.
Under certain natural conditions, the differential equation method provides approximations for fundamental features of discretetime random processes. More precisely, it approximates the trajectories of several random variables of the random processes using the solution of differential equations that idealize the expected onestep changes of such variables.
In this minicourse, we will start with a review of applications of the simpler tool of the bounded differences method. Then present a simple proof of the differential equation method and overview several applications to the trianglefree process and the graph process with bounded degrees.

Sarah Penington
C

Title: The FisherKPP equation and related topics
Abstract: The FisherKPP equation was introduced in 1937 by Fisher and by Kolmogorov, Petrovskii and Piskunov to model the spatial spread of an advantageous trait in a population. It turns out that solutions of this partial differential equation (PDE) can be represented in terms of a stochastic process, branching Brownian motion. In 1983, Bramson used probabilistic representations of the FisherKPP equation to prove a celebrated result about the front location in solutions of the PDE. I will introduce these probabilistic representations and give a sketch of a proof of Bramson’s result, and then talk about some related situations in which probabilistic techniques can be used to understand the behaviour of solutions of PDEs. 
Thursday


08:3009:30

Breakfast

09:3010:30

A

10:3011:30

B

11:3012:00

Coffee

12:0013:00

C

13:0014:30

Lunch

14:3015:00

Sandra Palau (UNAM)

15:0015:30

Isaac Gonzalez (Bath)

15:3016:00

Natalia Cardona (CIMAT)
Title: Extinction rates for branching processes in a Lévy environment: the subcritical regime Abstract: In this talk, we study the extinction rates for continuous state branching processes in a Lévy environment, when the associated Lévy process drifts to minus infinity. Our results generalises those obtained (independently) by Li and Xu (2018) and Palau et al. (2016), where the case when the branching mechanism is stable was studied. Our methodology focuses on the description of the process under the survival event which is closely associated to understanding continuous state branching processes in a random environment which is conditioned to be positive. 
16:0018:00

Discussion

Friday


08:3009:30

Breakfast

09:3010:30

C

10:3011:30

A

11:3012:00

Coffee

12:0013:00

B

13:0014:30

Lunch

14:3015:00

Tsogzolmaa Saizmaa

15:0015:30

Adrian Casanova (UNAM)
Title: The Discreet Ancestral Selection Graph
Abstract: We will study the effect of selection in the evolution of the genetic profile of a population using a random graph with vertex set $\mathbb{Z}\times \{1,2,...,N\}$. In this model, the future and the past of the population are functionals of the Discreet Ancestral Selecion Graph (DASG) and this induces a duality relation betwen the ancestral process and the frequency process.In the case of two types of individuals, we will discuss a new proof of the Haldane formula for moderate selection. In the multiple types case, we introduce the concept of couloring a DASG and study its relation to complex selective interactions.

15:3016:00

Maurico Duarte
Title: Where does that noise come from?
Abstract: In this talk we will introduce a twoparameter family for a discrete model of a particle constrained to $\mathbb{N}^2$ by exclusion. The jump rates depend on the position of the particle in such a way that the stationary distribution is the product of a Geometric and a Poisson RV with parameters depending explicitly on those of the discrete model.
By scaling and renormalizing these parameters, we obtain convergence to a reflected diffusion process that is driven by a one dimensional BM, but which still has a stationary distribution with a density in its whole state space. More interestingly, the component of this diffusion that is “noiseless” has a Gaussian (“noisy”) stationary marginal.
Most of our arguments are based on (sub)martingales techniques.

16:0018:00

Discussion

Saturday


08:3009:30

Breakfast

09:3010:30

B

10:3011:30

C

11:3012:00

Coffee

12:0013:00

A

13:0014:30

Lunch

14:3015:00

Emma Horton
Title: Stochastic Analysis of the Neutron Transport Equation Abstract: The neutron transport equation (NTE) describes the net movement of neutrons through an inhomogeneous fissile medium, such as a nuclear reactor. One way to derive the NTE is via the stochastic analysis of a spatial branching process. This approach has been known since the 1960/70s, however, since then, very little innovation in the literature has emerged through probabilistic analysis. In recent years, however, the nuclear power and nuclear regulatory industries have a greater need for a deep understanding the spectral properties of the NTE.
In this talk I will formally describe the dynamics of the socalled neutron branching process (NBP), along with an associated Feynman Kac representation. I will then discuss how the latter can be used to prove a PerronFr\"o beniustype decomposition of the expectation semigroup using quasistationary methods.
Joint work with Alex M. G. Cox, Simon C. Harris, Andreas E. Kyprianou, Denis Villemonais and Minmin Wang.

15:0015:30

Claire Delplancke
Title: BerryEsseen bounds for the χ2distance in the Central Limit Theorem
Abstract: The main result of this work is a BerryEsseenlike bound, which states the convergence to the normal distribution of sums of independent, identically distributed random variables in chisquare distance, defined as the variance of the density with respect to the normal distribution. Our main assumption is that the random variablesinvolved in the sum are independent and have polynomial density; the identical distribution hypothesis can in fact be relaxed. The method consists of taking advantage of the underlying time nonhomogeneous Markovian structure and providing a Poincar ́elike inequality for the nonreversible transition operator, which allows to find the optimal rate in the convergence
Joint work with Laurent Miclo.

15:3016:00

Daniel Kious
Title: Random walk on the simple symmetric exclusion process
Abstract: In a joint work with Marcelo R. Hilário and Augusto Teixeira, we in vestigate the longterm behavior of a random walker evolving on top of the simple symmetric exclusion process (SSEP) at equilibrium. At each jump, the random walker is subject to a drift that depends on whether it is sitting on top of a particle or a hole. The asymptotic behavior is expected to depend on the density ρ ∈ [0, 1] of the underlying SSEP. Our first result is a law of large numbers (LLN) for the random walker for all densities ρ except for at most two values ρ−, ρ+ ∈ [0, 1], where the speed (as a function fo the density) possibly jumps from, or to, 0. Second, we prove that, for any density corresponding to a nonzero speed regime, the fluctuations are diffusive and a Central Limit Theorem holds. For the special case in which the density is 1/2 and the jump distribution on an empty site and on an occupied site are symmetric to each other, we prove a LLN with zero limiting speed. Our main results extend to environments given by a family of independent simple symmetric random walks in equilibrium. 
16:0018:00

Discussion 
Bath

CIMAT

UNAM

Other

Chile


Alex Cox
Andreas Kyprianou
Emma Horton Isaac Gonzalez
Benjamin Dadoun
Sarah Penington
Tsogzolmaa Saizmaa
Daniel Kious
Martin Prigent

Juan Carlos Pardo
Victor Rivero
Daniel Hernandez
Natalia Cardona Tobón
Camilo González
Jose Luis Perez
Dante Mata
Jose de Jesus Contreras Arredondo

Sandra Palau
Arno SiriJegousse
Lizbeth Peñaloza Velasco
Alejandro Hernández Wences
Adrian Gonzalez Casanova
Marie Clara Fittipaldi
Laura Eslava
Geronimo Uribe
Osvaldo AngtuncioHernández
Miriam Ramírez García 
Christina Goldschmidt (Oxford)
Louigi AddarioBerry (McGill)
Janos Englander(Colorado)
Fernando Cordero (Bielefeld)
Maite Wilke Berenguer (Bochum)

Joaquin Fontbona (CMM)
Manuel Cabezas (PUC)
Maurico Duarte (UNAB)
Roberto Cortez (CMM)
Claire Delplancke (CMM)
Elsa Cazelles (CMM)
Hector Olivero (UV)
Felipe Muñoz (CMM)
