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07/06/2023, 17:00 — 18:00 — Online

Clément Erignoux, *INRIA - Lille*

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Modelling active matter by active lattice gases: exact hydrodynamic description and phase transitions

In this talk, I will introduce a few related microscopic models for active matter. The models we consider are lattice gases, meaning that the active particles jump stochastically on a lattice. Their active nature is represented by a drift in their stochastic jumps, whose direction can evolve in time as particles interact with eachother. I will discuss how, with this type of lattice gases, one can model the behavior of active matter, and recover the emergence of Vicsek's alignment phase transition as well as Motility Induced Phase Separation (MIPS), both classical phenomena for active matter. Both have been well documented by the physics community, however mathematical results remain scarce. Notably, using the mathematical theory of hydrodynamic limit, one can prove the emergence of both phenomena mathematically, even for models with purely local interactions, without any mean-field type assumptions. I will talk about recent results on phase separation occuring in a non gradient active gas, and how even small proportion of active particles can induce phase separation. Weak solutions to the homogeneous Boltzmann equation with increasing energy have been constructed by Lu and Wennberg. We consider an underlying microscopic stochastic model with binary collisions and show that these solutions are atypical. More precisely, we prove that the probability of observing these paths is exponentially small in the number of particles and compute the exponential rate. Based on JW with Mourtaza Kourbane Houssène, Julien Tailleur, Thierry Bodineau, James Mason, Maria Bruna, Robert Jack.

See also: https://spmes.impa.br

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31/05/2023, 17:00 — 18:00 — Online

Sylvie Méléard, *École Polytechnique*

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See also: https://spmes.impa.br

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24/05/2023, 17:00 — 18:00 — Online

Lorenzo Bertini, *La Sapienza - Roma*

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On the probability of observing energy increasing solutions to the Boltzmann equation

Weak solutions to the homogeneous Boltzmann equation with increasing energy have been constructed by Lu and Wennberg. We consider an underlying microscopic stochastic model with binary collisions and show that these solutions are atypical. More precisely, we prove that the probability of observing these paths is exponentially small in the number of particles and compute the exponential rate. Weak solutions to the homogeneous Boltzmann equation with increasing energy have been constructed by Lu and Wennberg. We consider an underlying microscopic stochastic model with binary collisions and show that these solutions are atypical. More precisely, we prove that the probability of observing these paths is exponentially small in the number of particles and compute the exponential rate. Weak solutions to the homogeneous Boltzmann equation with increasing energy have been constructed by Lu and Wennberg. We consider an underlying microscopic stochastic model with binary collisions and show that these solutions are atypical. More precisely, we prove that the probability of observing these paths is exponentially small in the number of particles and compute the exponential rate. Weak solutions to the homogeneous Boltzmann equation with increasing energy have been constructed by Lu and Wennberg. We consider an underlying microscopic stochastic model with binary collisions and show that these solutions are atypical. More precisely, we prove that the probability of observing these paths is exponentially small in the number of particles and compute the exponential rate.

See also here: https://spmes.impa.br

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17/05/2023, 17:00 — 18:00 — Online

Alex Dunlap, *New York University*

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The nonlinear stochastic heat equation in the critical dimension

I will discuss a two-dimensional stochastic heat equation with a nonlinear noise strength, and consider a limit in which the correlation length of the noise is taken to 0 but the noise is attenuated by a logarithmic factor. The limiting pointwise statistics can be related to a stochastic differential equation in which the diffusivity solves a PDE somewhat reminiscent of the porous medium equation. This relationship is established through the theory of forward-backward SDEs. I will also explain several cases in which the PDE can be solved explicitly, some of which correspond to known probabilistic models. This talk will be based on current joint work with Cole Graham and earlier joint work with Yu Gu.

See also here: https://spmes.impa.br

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10/05/2023, 17:00 — 18:00 — Online

Kevin Yang, *UC Berkeley*

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Universality and well-posedness for a time-inhomogeneous KPZ equation

The KPZ equation is a model for non-equilibrium interface fluctuations that comes from perturbing a Gaussian Langevin dynamic by a slope-dependent nonlinearity. An associated universality problem is whether or not the same model comes from (scaling limits of) perturbing non-Gaussian "Ginzburg-Landau" SDEs by a slope-dependent nonlinearity. One goal of this talk is to give a "fluctuation version" of Yau's relative entropy method to resolve this problem for a general class of non-Gaussian potentials. The microscopic models considered also have a non-equilibrium flavor that leads to a time-inhomogeneous KPZ equation, which introduces its own interesting mathematics at both the microscopic and macroscopic levels.

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03/05/2023, 17:00 — 18:00 — Online

Federico Sau, *University of Trieste*

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Spectral gap of the symmetric inclusion process

In this talk, we consider the symmetric inclusion process on a general finite graph. Our main result establishes universal upper and lower bounds for the spectral gap of this interacting particle system in terms of the spectral gap of the random walk on the same graph. In the regime in which the gamma-like reversible measures of the particle system are log-concave, our bounds match, yielding a version for the symmetric inclusion process of the celebrated Aldous' spectral gap conjecture - originally formulated for the interchange process and proved by Caputo, Liggett and Richthammer (JAMS 2010). Finally, by means of duality techniques, we draw analogous conclusions for an interacting diffusion-like unbounded conservative spin system known as Brownian energy process, which may be interpreted as a spatial version of the Wright-Fisher diffusion with mutation. Based on a joint work with Seonwoo Kim (SNU, South Korea).

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26/04/2023, 17:00 — 18:00 — Online

Fraydoun Rezakhanlou, *UC - Berkeley*

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Kinetic Theory for Laguerre Tessellations

** **In this talk I will discuss a family of Gibbsian measures on the set of Laguerre tessellations. These measures may be used to provide a systematic approach for constructing Gibbsian solutions to Hamilton-Jacobi PDEs by exploring the Eularian description of the shock dynamics. Such solutions depend on kernels satisfying kinetic-like equations reminiscent of the Smoluchowski model for coagulating and fragmenting particles.

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19/04/2023, 17:00 — 18:00 — Online

Giuseppe Cannizzaro, *University of Warwick and UKRI Future Leaders Fellow*

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Crossover from the Brownian Castle to Edwards-Wilkinson

In the context of randomly fluctuating interfaces in (1+1)-dimensions two Universality Classes have generally been considered, the Kardar-Parisi-Zhang (KPZ) and the Edwards-Wilkinson (EW). Notoriously, the KPZ equation is known to interpolate between them in that its small-scale statistics are those of EW while its large-scale fluctuations are those of KPZ. In a recent work with M. Hairer, we showed that the universality picture outlined above is not exhaustive and identified a new universality class together with the universal process at its core, the Brownian Castle (BC). After reviewing the origin, construction and characterising properties of BC, the talk will be devoted to show that there exist a huge family of processes that play a role similar to that of the KPZ equation, connecting though the BC and EW universality classes. We called these processes $\nu$-Brownian Castle, for $\nu$ a probability measure on [0,1], and are linked to the Brownian Net and the stochastic flows of kernels of Schertzer, Sun and Swart. Time allowing, we will show that (one of) these processes naturally arise as the limit, under a suitable scaling, of a microscopic model given by a stochastic PDE. This is joint (ongoing) work with M. Hairer, T. Rosati and R. Sun.

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12/04/2023, 17:00 — 18:00 — Online

Timo Seppalainen, *University of Wisconsin*

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Stationary horizon as the universal multitype stationary distribution

The stationary horizon (SH) is a recently constructed cadlag stochastic process whose states are Brownian motions and the process is indexed by the drifts. It is part of the universality picture of the 1+1 dimensional Kardar-Parisi-Zhang (KPZ) class. SH was discovered as a diffusive limit of the Busemann process of the exponential corner growth model (Busani) and simultaneously as the Busemann process of Brownian last-passage percolation (Sorensen and the speaker). This talk is about SH as the Busemann process of the directed landscape, as the stationary distribution of the KPZ fixed point, and as the scaling limit of the TASEP speed process. Joint work with Ofer Busani (Bonn/Edinburgh) and Evan Sorensen (Madison/Columbia).

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05/04/2023, 17:00 — 18:00 — Online

Chiara Franceschini, *University of Modena*

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Two duality relations for Markov processes with an open boundary

In this talk I will show how the same algebraic approach, which relies on the $\mathfrak{su}(1,1)$ Lie algebra, can be used to construct two duality results. One is well-known: the two processes involved are the symmetric inclusion process and a Markov diffusion called Brownian Energy process. The other one is a new result which involves a particle system of zero-range type, called harmonic process, and a redistribution model similar to the Kipnis-Marchioro-Presutti model. Despite the similarity, it turns out that the second relation involves integrable models and thus duality can be pushed further. As a consequence, all moments in the stationary nonequilibrium state can be explicitly computed.

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29/03/2023, 16:00 — 17:00 — Online

Stefan Grosskinsky, *Augsburg University*

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Size-biased diffusion limits for the inclusion process

We study the Inclusion Process with vanishing diffusion coefficient, which is known to exhibit condensation and metastable dynamics for cluster locations. Here we focus on the dynamics of mass distribution rather than locations, and consider the process on the complete graph in the thermodynamic limit with fixed particle density. We describe the mass distribution for a given configuration by a measure on a suitably scaled mass space and derive a limiting measure-valued process. When the diffusion coefficient scales like the inverse of the system size, the scaling limit is equivalent to the well known Poisson-Dirichlet diffusion, offering an alternative point of view for this well-established dynamics. Testing configurations with size-biased functions, our approach can be generalized to other scaling regimes. This leads to an interesting characterization of the limiting dynamics via duality and provides a natural extension of the Poisson-Dirichlet diffusion to infinite mutation rate. This is joint work with Simon Gabriel and Paul Chleboun (both Warwick)

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22/03/2023, 16:00 — 17:00 — Online

Benoit Dagallier, *Cambridge University*

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Large deviations for out of equilibrium correlations in the symmetric simple exclusion process

For finite size Markov chains, the probability that a time-averaged observable take an anomalous value in the long time limit was quantified in a celebrated result by Donsker and Varadhan. In the study of interacting particle systems, one is interested not only in the large time, but also in the large system size limit. In this second limit, observables of the chain each live at different scales, and one has to understand how scales decouple. In a joint work with Thierry Bodineau, we study a paradigmatic example of out of equilirium interacting particle systems: the one-dimensional symmetric simple exclusion process connected with reservoirs of particles at different density. We focus on the scale of two point correlations and obtain the long time, large system size limits on the probability of observing anomalous correlations. This is done through quantitative, non-asymptotic estimates at the level of the dynamics. The key ingredient is a precise approximation of the dynamics and its invariant measure (not explicitly known), that is of independent interest. The quality of this approximation is controlled through relative entropy bounds, making use of recent results of Jara and Menezes.

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15/03/2023, 16:00 — 17:00 — Online

Linjie Zhao, *Wuhan University*

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The tagged particle in asymmetric exclusion process with long jumps

In this talk, we consider the asymmetric exclusion process with long jumps, where the transition rate is proportional to $ |x|^{-d-\alpha} $ for some $ \alpha > 0 $. We state the central limit theorems for the tagged particle when the process starts from its stationary measure. When time permitted, we will also outline the proof.

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08/03/2023, 16:00 — 17:00 — Online

Jinho Baik, *University of Michigan*

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Multi-point distribution of periodic TASEP and differential equations

We discuss random growth models in the KPZ universality on a ring. When the time and the size of the ring both tend to infinity in a critical way, the height fluctuation field is expected to converge to a field that interpolate the KPZ fixed point on the line and the Brownian motion. We discuss the convergence of the multi-time, multi-position distributions for the totally asymmetric simple exclusion process. In the second part of the talk, we discuss various deterministic differential equations associated with the KPZ fixed point and its periodic version for the narrow-wedge initial condition.

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01/03/2023, 16:00 — 17:00 — Online

Mario Ayala, *Technische Universität München*

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Fluctuation fields and orthogonal self-dualities

In the study of scaling limits of reversible particle systems with the property of self-duality, many quantities of interest become easier to manipulate and simplify. For the particular case of fluctuations from the hydrodynamic limit, and in the additional presence of orthogonality, these simplifications have interesting consequences. In this talk, we will briefly discuss some of those consequences. First, we will obtain a systematic orthogonal decomposition of the fluctuation fields of local functions, where the order of every term can be quantified. This implies a quantitative generalization of the Boltzmann–Gibbs principle. Second we will introduce what we call the k-th order fluctuation field. We will then explain how these fields can be interpreted as some type of discrete analogue of powers of the well-known density fluctuation field, and show how their scaling limits formally correspond to the SPDE associated with the kth-power of a generalized Ornstein-Uhlenbeck process.

This work takes inspiration from [1] and [2], and it is a joint effort with G. Carinci (Università di Modena e R. Emilia) and Frank Redig (TU Delft).

- Sigurd Assing,
*A limit theorem for quadratic fluctuations in symmetric simple exclusion*, Stochastic Process. Appl. 117 (2007), no. 6, 766–790. - Patrícia Gonçalves and Milton Jara,
*Quadratic fluctuations of the symmetric simple exclusion*, ALEA Lat. Am. J. Probab. Math. Stat. 16 (2019), no. 1, 605–632.

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22/02/2023, 16:00 — 17:00 — Online

Minmin Wang, *University of Sussex*

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Geometry of a large random intersection graph inside the critical window

Random intersection graph is a simple random graph that incorporates community structures. To build such a graph, imagine there are $n$ individuals and $m$ potential communities. Each individual joins a community independently with probability $p$. The graph $G(n, m, p)$ has $n$ nodes, corresponding to the $n$ individuals. Each pair of these individuals share an edge between them if they belong to a common community. The critical threshold for the emergence of a giant component emerges turns out to be at $p^2 ~ 1/nm$. I’ll discuss some results that can help us to understand what a large $G(n, m, p)$ looks like at the critical threshold.

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15/02/2023, 16:00 — 17:00 — Online

Eric Luçon, *Université Paris Cité*

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How large is the mean-field framework ?

The canonical framework for mean-field systems is to consider $N$ particles (diffusions, or dynamics with jumps, etc) that interact on the complete graph in a uniform way, the strength of interaction between two particles being of size $1/N$. The behavior of the system is hence captured by the empirical measure of the system which converges as $N\to\infty$ to the solution of a nonlinear Fokker Planck equation. The motivation of this talk is simple: what can we say if one no longer interacts on the complete graph, i.e. one removes connections between particles ? if the graph is sufficiently close to the complete graph, one expects the same asymptotic behavior. We will address this question at the level of the LLN and fluctuations of the empirical measure of the system. This is based on joint works with G. Giacomin, S. Delattre, F. Coppini and C. Poquet.

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08/02/2023, 16:00 — 17:00 — Online

Elena Kosygina, *City University of New York*

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Convergence and non-convergence of some self-interacting random walks to Brownian motion perturbed at extrema

Generalized Ray-Knight theorems for edge local times proved to be a very useful tool for studying the limiting behavior of several classes of self-interacting random walks (SIRWs) on integers. Examples include some reinforced random walks, excited random walks, rotor walks with defects. I shall describe two classes of SIRWs introduced and studied by Balint Toth (1996), asymptotically free and polynomially self-repelling SIRWs, and discuss new results which resolve an open question posed in Toth’s paper. We show that in the asymptotically free case the rescaled SIRWs converge to a perturbed Brownian motion (conjectured by Toth) while in the polynomially self-repelling case the convergence to the conjectured process fails in spite of the fact that generalized Ray-Knight theorems clearly identify the unique candidate in the class of all perturbed Brownian motions. This negative result was somewhat unexpected. The question whether there is convergence in the polynomially self-repelling case and, if yes, then how to describe the limiting process is open. This is joint work with Thomas Mountford, EPFL, and Jonathon Peterson, Purdue University.

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01/02/2023, 16:00 — 17:00 — Online

Augusto Teixeira, *Instituto de Matemática Pura e Aplicada*

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Phase transition for percolation with axes-aligned defects

In this talk we will review a model that was first introduced by Jonasson, Mossel and Peres. Starting with the usual square lattice on $Z^2$, entire rows (respectively columns) of edges extending along the horizontal (respectively vertical) direction are removed independently at random. On the remaining thinned lattice, Bernoulli bond percolation is performed, giving rise to a percolation model with infinite range dependencies under the annealed law. In 2005, Hoffman solved the main conjecture around this model: proving that this percolation process indeed undergoes a nontrivial phase transition. In this talk, besides reviewing this surprisingly challenging problem, we will present a novel proof, which replaces the dynamic renormalization presented previously by a static version. This makes the proof easier to follow and to extend to other models. We finally present some remarks on the sharpness of Hoffman’s result as well as a list of interesting open problems that we believe can provide a renewed interest in this family of questions. This talk is based on a joint work with M. Hilário, M. Sá and R. Sanchis.

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25/01/2023, 16:00 — 17:00 — Online

Milton Jara, *Instituto de Matemática Pura e Aplicada*

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Stein's method for Markovian martingales

Stein's method is an increasingly popular way to derive quantitative versions of weak convergence theorems, like the central limit theorem. In this talk we use Stein's method to derive a quantitative CLT for Dynkin martingales of Markov chains. Despite its simplicity, we show with some examples that the bounds we obtain in the context of interacting particle systems are surprisingly sharp.

For more info: https://spmes.impa.br