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Datum Zeit Ort Vortrag
18.12.18 15:00 H0.05 Predicting Stock Prices Based on Press Release Sentiment: A Comparison of Naïve Bayes Classifiers and Support Vector Machines [Masterarbeitsvortrag]
Max Lübbering
18.12.18 11:30 Am Schwarzenberg-Campus 3 (E), Raum 3.074 Knochendetektion in Röntgenbildern mittels Deep Learning [Forschungsprojektarbeit]
Stefan Dübel
13.12.18 14:00 Am Schwarzenberg-Campus 3 (E), Raum 3.074 Solving PDEs by the RBF-FD approach
Willi Leinen

I will present an introduction of the RBF-FD method and properties of the arising linear systems.
06.12.18 14:00 Am Schwarzenberg-Campus 3 (E), Raum 3.074 Challenges for drift-diffusion simulations of semiconductors: A comparative study of different discretization philosophies*
Dirk Peschka, Weierstraß-Institut, Berlin

In this talk we present results of a comparative study, where we analyze and benchmark the error and the convergence order of finite difference, finite-element as well as Voronoi finite-volume discretization schemes for the drift-diffusion equations describing charge transport in bulk semiconductor devices, i.e., the van Roosbroeck system.

The relation between the quasi-Fermi levels and the densities of electrons and holes is given by the equation of state. Three common challenges, that can corrupt the precision of numerical solutions of the van Roosbroeck system, will be discussed: boundary layers of the quasi-Fermi potentials at Ohmic contacts, discontinuties in the doping profile, and corner singularities in L-shaped domains. The influence on the order of convergence is assessed for each computational challenge and the different discretization schemes. Additionally, we provide an analysis of the inner boundary layer asymptotics near Ohmic contacts to support our observations.
06.12.18 10:00 Am Schwarzenberg-Campus 3 (E), Raum 3.074 Hot spots of quantum graphs
Jonathan Rohleder, Matematiska institutionen, Stockholms universitet

The Hot Spots Conjecture of J. Rauch asserts that the hottest and coldest points of an insulated body should move towards its boundary for large times, if the insulation is perfect. Via the semigroup associated with the Neumann Laplacian this reduces to proving that maximum and minimum of the eigenfunction(s) associated with the smallest positive eigenvalue are located on the boundary. This conjecture is not true in full generality but is currently open, for example, for convex domains.

In this talk we will examine the corresponding question on metric graphs: for the Laplacian on a finite metric graph with standard (continuity and Kirchhoff) vertex conditions we consider the possible distribution of maxima and minima of eigenfunctions associated with the smallest nonzero eigenvalue. Among other things, we give examples to show that the usual notion of “boundary” of a metric graph, namely the set of vertices of degree one, has limited relevance for determining the “hottest” and “coldest” parts of a graph.

This is joint work with James Kennedy (Lisbon).
29.11.18 14:00 D1.024 Approximation techniques for passive mechanical control systems*
Ines Dorschky, Fachbereich Mathematik, Universität Hamburg

In this talk we study approximation techniques for input-output systems, which appear in the modeling process of mechanical systems. So, the focus will be on linear dynamical systems with a second derivative term.
These system can become very large in practice and therefore, expensive to be used for simulations and controller design.
Since this frequently happens to all control systems coming from real-live application, model order reduction became a major field in control theory over the last decades.
Here however, beside approximating the input-output behavior of the original system, the special structure should be preserved in the reduced-order model.
So far, reduction techniques designed for the linearized model fail in this aspect. On the other hand, there is a wide variety of methods that directly treat the second order control system. However, up to this point none of those methods deliver reasonable error-bounds for the approximation.
In this talk an approximation method is presented for the special class of passive mechanical systems. Roughly speaking passivity for control systems means that the system itself cannot produce energy. For this class the special canonical structure, given by so called Jordan triples for matrix polynomials, can be exploited.
In the end an error bound in the gap metric will be derived. The gap metric is used as a measure for the distance of two linear systems. It is defined via the distance of the closed subspaces of stable trajectories corresponding to zero initial conditions of the systems. Hence, the gap metric error-bound ensures the quality of the approximation of the state/signal system.
27.11.18 16:30 Am Schwarzenberg-Campus 3 (E), Raum 3.074 Fast winning strategies in biased Maker{Breaker graph games
Mirjana Mikalacki, University of Novi Sad, Faculty of Sciences, Department of Mathematics and Informatics

We study two standard biased (1 : b) Maker-Breaker positional games
| the Perfect Matching game and the Hamilton Cycle game, played on
the edge set of the complete graph on n vertices, Kn. Given Breaker's bias
b, possibly depending on n, our goal is to determine the minimal number
of moves in which Maker can win in each of these two graph games.

This is joint work with Miloš Stojakovic.
22.11.18 14:00 Am Schwarzenberg-Campus 3 (E), Raum 3.074 Chernoff approximation of operator semigroups
Yana Kinderknecht, Universität des Saarlandes, Fb. Mathematik

In this talk we outline classical connections between such mathematical objects as operator semigroups, evolution equations and Markov processes. Further, we present a method to approximate operator semigroups with the help of the Chernoff theorem. Many \emph{Chernoff approximations} lead to representations of solutions of (corresponding) evolution equations in the form of limits of $n$-fold iterated integrals of elementary functions when $n$ tends to infinity. Such representations are called \emph{Feynman formulae}. They can be used for direct computations, modelling of the related dynamics, simulation of underlying stochastic processes.
In some cases, Chernoff approximations can be understood as a version of the operator splitting method (known in the numerics of PDEs); some Feynman formulae provide Euler--Maruyama schemes for SDEs. Moreover, the limits in Feynman formulae sometimes coincide with path integrals with respect to probability measures (\emph{Feynman-Kac formulae}) or with respect to Feynman type pseudomeasures (\emph{Feynman path integrals}). It is planned to discuss different Chernoff approximations for semigroups corresponding to some Markov processes (e.g., subordinate Feller diffusions on star graphs and Riemannian manifolds) and for Schr\''{o}dinger groups.
Furthermore, the constructed Chernoff approximations for operator semigroups can be used to approximate solutions of some time-fractional evolution equations describing anomalous diffusion (solutions of such equations do not posess the semigroup property).
21.11.18 14:00 Am Schwarzenberg-Campus 3 (E), Raum 3.074 Domino towers (Including: How to count stuff using generating functions)
Alexander Haupt

The original problem of counting domino towers was first studied by G. Viennot in 1985, see also D. Zeilberger (The Amazing 3^n Theorem). We analyse a generalisation of domino towers that was proposed by T. M. Brown (J. Integer Seq. 20.3 (2017), Art. 17.3.1), which we call S-omino towers. After establishing an equation that the generating function must satisfy and applying the Lagrange Inversion Formula, we find a closed formula for the number of towers.

The talk should hopefully also be accessible to people not used to this kind of mathematics.
15.11.18 14:00 D1.024 Observability for Systems in Banach spaces - Part II*
Christian Seifert

This talk is divided into two parts. The first part will be given on Thursday 08.11.18 by Dennis Gallaun.
In this talk we study sufficient conditions for obserability of systems in Banach spaces. In an abstract Banach space setting we show that an uncertainty relation together with a dissipation estimate implies an obserbability estimate with explicite dependence on the model parameters. Our approach unifies and generalizes the respective advantages from earlier results obtained in the context of Hilbert spaces. As an application we consider elliptic operators on Lp(Rd) and on Lp(Td) for 1 < p < ∞. Combined with the well-known relation between observability and controllability we derive sufficient conditions for null-controllability and bounds on the control cost.

* Vortrag im Rahmen des Kolloquiums für Angewandte Mathematik