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Using the method of sub- and supersolutions for semilinear elliptic equations, in combination with the stereographic projection, we show that Stuart-type vortices can model the steady flow of the Antarctic Circumpolar Current. Further analysis is provided.
I will discuss random walks among random conductances on the hypercubic lattice that allow for jumps of arbitrary length. This includes the random walk on the long-range percolation graph obtained by adding to $\mathbb Z^d$ an edge between $x$ and $y$ with probability proportional to $|x-y|^{-s}$, independently of other pairs of vertices. By a combination of functional inequalities and location-dependent truncations, I will prove that the random walk scales to Brownian motion under a diffusive scaling of space and time. The proof follows the usual route of reducing the statement to everywhere sublinearity of the corrector. We prove the latter under moment conditions on the environment that in fact turn out to be more or less necessary for the method of proof. For the above percolation problem, this requires the exponent~$s$ to exceed~$2d$. Based on joint work with X. Chen, T. Kumagai and J. Wang.
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Due to the current situation, the Oberseminar of 15.06.20 will be held online on Zoom. People interested in attending the seminar are invited to write an e-mail to mazzon@math.lmu.de in order to receive an invitation to the meeting.
https://www.fm.mathematik.uni-muenchen.de/teaching/teaching_summer_term_2020/seminars/oberseminar_finanz_2019/index.html
Partial differential equations (PDEs) involving fractional Laplace operators have attracted increasing research attention as they have proven useful for modeling anomalous diffusion processes in areas as varied as physics, biology, ecology, medicine and economics. In this talk, we explore the effects of the spectral fractional Laplacian on the solutions and bifurcation structure of fractional reaction–diffusion systems on bounded domains. We first extended the continuation/bifurcation package pde2path, which has been extensively used for classical reaction–diffusion systems, to treat PDEs involving the spectral fractional Laplacian. The new capabilities of the software were then applied to the study of three benchmark problems: the Allen–Cahn equation, the Swift–Hohenberg equation and the Schnakenberg system in which the standard Laplacian was replaced by the spectral fractional Laplacian. Our results have shown that the fractional order induces significant qualitative and quantitative changes in global bifurcation structures, of which some are shared by the three systems. This contributes to a better understanding of the effects of fractional diffusion in generic reaction–diffusion systems. (Presentation is based on a joint work with Christian Kuehn and Cinzia Soresina.)
Let $A$ be the infinitesimal generator of a Lévy process. Classical examples are, for instance, the Laplacian (generator of Brownian motion) and the fractional Laplacian (generator of isotropic stable Lévy process). In this talk, we study the regularity of solutions $f$ to the Poisson equation $Af=g$. We show how gradient estimates for the transition density of the Lévy process can be used to obtain Hölder estimates for $f$. Moreover, we present a Liouville theorem for Lévy operators: If $f$ is a solution to $Af=0$ which is at most of (suitable) polynomial growth, then $f$ is a polynomial. We illustrate our results with examples and discuss some possible generalizations.
Thousands of researchers use social media data to analyze human behavior at scale. The underlying assumption is that millions of people leave digital traces and by collecting these traces we can re-construct activities, topics, and opinions of groups or societies. Some data biases are obvious. For instance, most social media platforms do not represent the socio-demographic setup of society. Social bots can also obscure actual human activity on these platforms. Consequently, it is not trivial to use social media analyses and draw conclusions to societal questions. In this presentation, I will focus on a more specific question: do we even get good social media samples? In other words, do social media data that are available for researchers represent the overall platform activity? I will show how nontransparent sampling algorithms create non-representative data samples and how technical artifacts of hidden algorithms can create surprising side effects with potentially devastating implications for data sample quality.
A small talk about adaptive and non-adaptive networks and the development of their respective moment equations/moment-closure approximations to represent the long term systemic development. In particular I will shortly cover the Adaptive Voter Model and Adaptive Simplex Voter Model as an example from my master's thesis.
We consider a discrete toy model for phase transitions in mixtures of incompressible droplets. The model consists of non-overlapping hypercubes in Z^d with side-lengths 2^j, j\in N_0. Cubes belong to an admissible set B such that if two cubes overlap, then one is contained in the other, a picture reminiscent of Mandelbrot's fractal percolation model. I will present exact formulas for the entropy, discuss phase transitions from a fluid phase with small cubes towards a condensed phase with a macroscopic cube, and explain how the toy model fits into a renormalization program for mixtures of hard spheres in R^d. Based on arXiv:1909.09546 (J. Stat. Phys. 179 (2020), 309-340).
Operads are a tool that formalise the definitions of algebras of different kinds. They allow to define associative, commutative, dg-, Lie and other algebras uniformly as algebras over certain operads. Some earliest instances of explicitly defined operads occurred in topology, where they have been introduced to describe the algebraic structure of iterated loop spaces elegantly. The relations these adhere to have led to the construction of A∞-algebras, E∞-algebras and the like. We shall see that instances of these naturally arise in topological and algebraic contexts and that they nicely complement the theory of dga-algebras.
To join Zoom Meeting https://tum-conf.zoom.us/j/93547704003
Meeting ID: 935 4770 4003 Password: 354475
In this talk, I will discuss various problems linked with 2D interfaces: "free" (Dobrushin) interface, interface above a hard wall, pinning and wetting problems. I will first formulate them in the Potts model and introduce a toolbox to treat them. The main result I will focus on is the construction of a coupling of the interface with a random walk in a potential, using Ornstein-Zernike theory. As application of this coupling, one can derive the scaling limit of the interface in the situations previously mentioned. Based on joint work with Ioffe, Velenik, Wachtel, and on work of Campanino, Ioffe, Velenik.