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Forschung und Projekte

Drittmittelförderung

Wir sind Teil der folgenden, größeren Projekte in der Berliner Umgebung und in Deutschland:

Angewandte Geometrie & Topologie

Adresse

Universität Potsdam
Institut für Mathematik
Campus Golm, Haus 9
Karl-Liebknecht-Str. 24-25
D-14476 Potsdam

Activities

07.06.2023, 10:00  –  Campus Golm, Haus 9, Raum 0.17 (und online)
Forschungsseminar Wahrscheinlichkeitstheorie

Sandpile models and spanning trees

Wioletta Ruszel (Univ. Utrecht)

The sandpile model (aka chip-firing game) is a toy model for studying self-organized criticality (SOC). SOC models are characterized by displaying power-law probability behaviour of certain quantities... 

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07.06.2023, 13:00  –  Haus 9, Raum 0.17 und Zoom
Forschungsseminar Diskrete Spektraltheorie

Gaussian upper heat kernel bounds and Sobolev inequalities on graphs with unbounded geometry

Dr. Christian Rose (Potsdam)

Abstract: On Riemannian manifolds the conjunction of Gaussian upper heat kernel bounds and the volume doubling property of balls are equivalent to Sobolev inequalities in arbitrarily small balls. The... 

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08.06.2023, 16:00  –  Raum 0.14
Forschungsseminar Differentialgeometrie

What is a jet bundle?

Christian Bär (UP)

I'll give a concise introduction to jet bundles of vector bundles. They allow to treat (higher) derivatives of sections in a coordinate invariant way without the need to introduce connections.... 

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08.06. bis 08.06.2023, 13:00 - 14:00  –  2.22
Forschungsseminar: Gruppen und Operatoralgebren

The dichotomy amenable/paradoxical in inverse semigroups and their uniform Roe algebras

Fernando Lledo (University Carlos III de Madrid)

In the present talk I will briefly review certain aspects of the dichotomy amenable/paradoxical in the category of metric spaces and inverse semigroups. Then I will address the question of defining a... 

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14.06.2023, 13:00  –  Haus 9, Raum 0.17 und Zoom
Forschungsseminar Diskrete Spektraltheorie

Spectral minimal partitions of metric graphs: what and why?

James Kennedy

Abstract: SMPs offer a way of dividing a given object (domain, manifold or graph) into a given number of pieces in an ``analytically optimal'' way: typically, one attempts to minimise an energy... 

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