30.05.2023 16:30 Eleanor Archer (Université Paris Nanterre): Scaling limit of high-dimensional uniform spanning trees
A spanning tree of a finite connected graph G is a connected subgraph of G that touches every vertex and contains no cycles. In this talk we will consider uniformly drawn spanning trees of ``high-dimensional’‘ graphs, and show that, under appropriate rescaling, they converge in distribution as metric-measure spaces to Aldous’ Brownian CRT. This extends an earlier result of Peres and Revelle (2004) who previously showed a form of finite-dimensional convergence. Based on joint works with Asaf Nachmias and Matan Shalev.
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31.05.2023 16:00 Andre Schlichting (WWU Münster): Dynamic behavior of growth processes: Phase separation, self-similarity, and oscillations
The talk reviews some growth processes describing the evolution of clusters consisting of atomic parts called monomers. The growth and
shrinkage can only occur by adding and removing single monomers, specified through a rate kernel depending solely on the involved
clusters' size.
First, I discuss the exchange-driven growth model, obtained as the mean-field limit of stochastic particle systems (zero-range process).
Under a detailed balance condition on the kernel, the model's longtime behavior can be described entirely. Here, the total mass density,
determined by the initial data, acts as an order parameter in which the system shows a phase separation.
Next, we consider the model for a family of product kernels, which do not satisfy a detailed balance condition. After a suitable rescaling to
self-similar variables, the equation becomes a discrete Laplace with a power-law as diffusion coefficient, which in particular degenerates at
the origin and grows at infinity. We will see that the solution converges to a stretched exponential self-similar profile.
Lastly, we consider the now-classic Becker-Döring system to which an injection of monomers and a depletion of large clusters is added. These
equations have been extensively used to model chemical-physical systems, especially bubbleator dynamics. The model approximates a transport equation with a conservation law entering the boundary condition by formal asymptotics. For the limit model, a Hopf bifurcation is shown, indicating temporal oscillations in the model.
joint works with Constantin Eichenberg, Barbara Niethammer, Robert Pego, and Juan Velazquez.
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01.06.2023 16:30 Sascha Lill: Friedrichs Diagrams—Bosonic and Fermionic
In Many-Body physics and QFT one often encounters tedious computations of commutators involving creation and annihilation operators. A diagrammatic language introduced by Friedrichs in 1965 allows for cutting down these computations tremendously, while representing the occurring operators in a particularly convenient visual form. We revisit a formula for bosonic commutators in terms of Friedrichs diagrams and prove its fermionic analogue. The talk is based on joint work with Morris Brooks from IST Vienna.
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05.06.2023 15:00 Yu Meng (MPG): Tipping point in stochastic networked dynamical system
A tipping point presents perhaps the single most significant threat to an ecological system as it can lead to abrupt species extinction on a massive scale. Climate changes leading to the species decay parameter drifts can drive various ecological systems towards a tipping point. We investigate the tipping-point dynamics in multi-layer ecological networks supported by mutualism. We unveil a natural mechanism by which the occurrence of tipping points can be delayed by multiplexity that broadly describes the diversity of the species abundances, the complexity of the interspecific relationships, and the topology of linkages in ecological networks. For a double-layer system of pollinators and plants, coupling between the network layers occurs when there is dispersal of pollinator species. Multiplexity emerges as the dispersing species establish their presence in the destination layer and have a simultaneous presence in both. We demonstrate that the new mutualistic links induced by the dispersing species with the residence species have fundamental benefits to the wellbeing of the ecosystem in delaying the tipping point and facilitating species recovery. Articulating and implementing control mechanisms to induce multiplexity can thus help sustain certain types of ecosystems that are in danger of extinction as the result of environmental changes.
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05.06.2023 15:30 Fang Han (University of Washington, Seattle): Chattejee's rank correlation: what is new?
This talk will provide an overview of the recent progress made in exploring Sourav Chatterjee's newly introduced rank correlation. The objective is to elaborate on its practical utility and present several new findings pertaining to
(a) the asymptotic normality and limiting variance of Chatterjee's rank correlation,
(b) its statistical efficiency for testing independence, and
(c) the issue of its bootstrap inconsistency. Notably, the presentation will reveal that Chatterjee's rank correlation is root-n consistent, asymptotically normal, but bootstrap inconsistent - an unusual phenomenon in the literature.
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