Direct estimation of the density of states for fermionic systems
Goh, M Koczor, B Physical Review Research volume 8 issue 1 013250 (01 Mar 2026)
Networked collective dynamics in animal ecology and cell biology
Sun, Y Wang, H Liu, X Wen, G Lin, W Maini, P Physics of Life Reviews volume 57 4-60 (01 Jul 2026)
Synchronization of higher-dimensional Kuramoto oscillators on networks: from scalar to matrix-weighted couplings
Gallo, A Lambiotte, R Carletti, T (09 Mar 2026)
Thu, 26 Mar 2026

15:00 - 17:00
L3

Renormalisation group on Lorentzian manifolds using (p)AQFT

Kasia Rejzner
(University of York)
Abstract

I will start the talk by discussing renormlisation group in perturbative algebraic quantum field theory (pAQFT) and its non-perturbative incarnation acting on the Buchholz-Fredenhagen dynamical C*-algebra. I will also explain how pAQFT can be used to derive functional renormlisation group (FRG) equations that generalize Wetterich equations to globally hyperbolic Lorentzian manifolds and arbitrary states (beyond the usual FRG in the vacuum).

Fri, 19 Jun 2026

11:00 - 12:00
L4

First-passage times and queueing behavior of stochastic search with dynamic redundancy and mortality

Dr Samantha Linn
(Department of Mathematics Imperial College London)
Abstract

Stochastic search is ubiquitous in biology and ecology, from synaptic transmission and intracellular signaling to predators seeking prey and the spread of disease. In dynamic systems like these, the number of 'searchers' is rarely constant: new agents may be recruited while others can abandon the search. Despite the ubiquity of these dynamics, their combined influence on search times remains largely unexplored. In this talk we will introduce a general framework for stochastic search in which agents progressively join and leave the process, a mechanism we term 'dynamic redundancy and mortality'. Under minimal assumptions on the underlying search dynamics, our framework yields the exact distribution of the first-passage time to a target region and further reveals surprising connections to stochastic search with stochastic resetting, wherein a single searcher is randomly 'reset' to its initial state. We will then treat the target region as a queue, which we show has interarrival times governed by a thinned nonhomogeneous Poisson process. Altogether this work provides a rigorous foundation for studying stochastic search processes with a fluctuating number of searchers. This work is in collaboration with Dr. Aanjaneya Kumar (Santa Fe Institute) and José Giral-Barajas (Imperial College London).

Fri, 12 Jun 2026

11:00 - 12:00
L4

Scaling limits for a population model with growth, division and cross-diffusion

Dr Diane Peurichard
(INRIA Paris)
Abstract
Motivated by the modeling of bacteria microcolony morphogenesis across multiple scales, we explore in this talk models for a spatial population of interacting, growing and dividing particles. Starting from a microscopic stochastic model, we first write the corresponding stochastic differential equation satisfied by the empirical measure, and rigorously derive its mesoscopic (mean-field) limit. We then take an interest in the so-called localization limit, to reach a macroscopic (large-scale) model. The scaling consists in assuming that the range of interaction between individuals is very small compared to the size of the domain. In proving the localization limit using compactness arguments, the difficulties are twofold: first, growth and division render the system non-conservative, preventing the use of energy estimates. Second, the size of the particles, being a continuous trait, leads to new difficulties in obtaining compactness estimates. We first show rigorously the localization limit in the case without growth and fragmentation, under smoothness and symmetry assumptions for the interaction kernel. We then perform a thorough numerical study in order to compare the three modeling scales and study the different limits in situations not covered by the theory yet. These works provide a better understanding of the link between the micro- meso- and macro- scales for interacting particle systems. 
 
Co-authors: Marie Doumic (Ecole Polytechnique and Inria, CMA), Sophie Hecht (CNRS, Sorbonne Université) and Marc Hoffmann ( University Paris-Dauphine )
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