Graduiertenkolleg: Methods for Discrete Structures

Deutsche Forschungsgemeinschaft
faculty | junior-faculty | postdocs | students | associate students | former students | former associate students
|
locations | Term schedule | history
|
predoc-courses | schools | block-courses | workshops
partners


Monday Lecture and Colloquium


Monday, November 10, 2014

Freie Universität Berlin
Institut für Informatik
Takustr. 9
14195 Berlin
room 005



Lecture - 14:15

Thorsten Theobald - Goethe-Universität Frankfurt


On the Polytope Containment Problem

Abstract:
Polytopes can be given as the convex hull of a finite point set (V-polytope) or as the intersection of finitely many halfspaces (H-polytope). Given an H-polytope $P$ and a V-polytope $Q$, the decision problem whether $P$ is contained in $Q$ is co-NP-complete ("Polytope Containment Problem"). This hardness remains if $P$ is restricted to be a standard cube and $Q$ is restricted to be the affine image of a cross polytope. While this hardness classification by Freund and Orlin dates back to 1985, there seems to be only limited progress on that problem so far.

In the talk, we approach the Polytope Containment from the viewpoint of a bilinear feasibility problem and in connection with linear and semidefinite relaxations. We will explain the connections to Handelman's and Putinar's Positivstellensatz and thus obtain hierarchies of linear programs and semidefinite programs, respectively, to decide the containment problem. We study their geometric properties and Positivstellensatz certificates.

As a main result, we show that under mild and explicitly known preconditions the semidefinite hierarchy converges in finitely many steps. In particular, this is the case if $P$ is the standard cube and $Q$ is the standard cross polytope.

Joint work with Kai Kellner.



Colloquium - 16:00

Francesco Grande - Freie Universität Berlin


Theta rank, levelness and matroid minors

Abstract:
The Theta rank of a finite point configuration V is the maximal degree necessary for a sum-of-squares representation of a non-negative linear function on V. This is an important invariant for polynomial optimization that is in general hard to determine.

The levelness is a geometric property of a configuration that provides an upper bound to the Theta rank. Furthermore, it has been shown that configurations with (minimal) Theta rank =1 are exactly the 2-level configurations.

I will consider the class of 0/1-point configurations arising from matroids and characterize the ones with minimal Theta rank by means of combinatorial properties directly linked to levelness. I will also present interesting features of this matroid family together with some enumerative aspects.

For the case of graphic matroids I will present more general results about levelness and a partial characterization of graphs whose configuration is of Theta rank=2.

The talk is based on works with R. Sanyal and with J. Rue.