Stefan Haller (Universität Wien )
Spectral invariants of the Rumin complex on contact manifolds and beyond abstract
Abstract:
On a contact manifold, Rumin\'s complex provides a sequence of differential operators that is intrinsic to the contact structure and computes de~Rham cohomology. This is a Rockland complex, the analogue of an elliptic complex in the Heisenberg calculus. Subelliptic analysis permits to define and study associated spectral invariants. In particular, the analytic torsion and the eta invariant of Rumin\'s contact complex have been compared to Riemannian an CR-invariants by Biquard-Herzlich-Rumin, Rumin-Seshadri, and Albin-Quan.While Rumin\'s complex can be defined for a broad class of filtered (Carnot) manifolds, one 5-dimensional geometry stands out because its Rumin complex is as well behaved as the contact analogue. This geometry is determined by a generic rank two distribution (i.e. 2-plane field) in dimension five, a.k.a. (2,3,5) distribution. Equivalently, it can be characterized as a particular Cartan geometry associated with the exceptional Lie group G2. In this talk we will recall the contact case and discuss recent results on the analytic torsion and the eta invariant of (2,3,5) distributions.
16:00 • ETH Zentrum, Rämistrasse 101, Zürich, Building HG, Room G 19.1
Alexandre Bestandji (EPFL)
Abstract:
An observer describes a system by collecting data from many local points of observation whose domains can be coherently glued together. A Grothendieck topos formalizes this process through a site of observation points and their relations. In this view, a topos is a space of phenomena where empirical data are relationally structured. The cohomology of these sheaves measures obstructions to forming coherent global descriptions or finer incompatibilities between different descriptions.In their 2015 article The Homological Nature of Entropy, Pierre Baudot and Daniel Bennequin use cohomological tools from topos theory to reinterpret Shannon entropy. A system is modeled as a ringed site of experiments that partially or fully partition its space of possible states. On this site, a sheaf of modules encodes all conceivable measures of probabilistic information derived from these experiments, with each experiment acting on the sheaf to determine how information changes.The cohomology of this sheaf captures how well these information measures satisfy desirable properties under observation, interpreting entropy as a generator of first-degree cohomology and extending information measures to higher dimensions.In this talk, I will detail three cases of probabilistic information cohomology : classical, quantum and dynamical. You can find more materials here.