Nihar Gargava (EPFL)
Random Arithmetic Lattices as Sphere Packings abstract
Abstract:
In 1945, Siegel showed that the expected value of the lattice-sums of a function over all the lattices of unit covolume in an n-dimensional real vector space is equal to the integral of the function. In 2012, Venkatesh restricted the lattice-sum function to a collection of lattices that had a cyclic group of symmetries and proved a similar mean value theorem. Using this approach, new lower bounds on the most optimal sphere packing density in n dimensions were established for infinitely many n. In the talk, we will outline some analogues of Siegel\'s mean value theorem over lattices. This approach has modestly improved some of the best known lattice packing bounds in many dimensions. We will speak of some variations and related ideas. (Joint work with V. Serban, M. Viazovska)
15:00 • UZH Irchel, Winterthurerstrasse 190, Zürich, Building Y27, Room H 25
Dr. Yalong Cao (RIKEN (Japan))
Quasimaps to quivers with potentials abstract
Abstract:
Quivers with potentials are fundamental objects in geometric representation theory and important also in Donaldson-Thomas theory of Calabi-Yau 3-categories. In this talk, we will introduce quantum corrections to such objects by counting quasimaps from curves to the critical locus of the potential. Our construction is based on the theory of gauged linear sigma model (GLSM) and uses recent development of DT theory of CY 4-folds. Joint work with Gufang Zhao.
15:00 • ETH Zentrum, Building ITS, Room
Fabian Ziltener (ETH)
Capacities as a complete symplectic invariant abstract
Abstract:
This talk is about joint work with Yann Guggisberg. The main result is that the set of generalized symplectic capacities is a complete invariant for every symplectic category whose objects are of the form $(M,\\omega)$, such that $M$ is compact and 1-connected, $\\omega$ is exact, and there exists a boundary component of $M$ with negative helicity. This answers a question of Cieliebak, Hofer, Latschev, and Schlenk. It appears to be the first result concerning this question, except for results for manifolds of dimension 2, ellipsoids, and polydiscs in $\\mathbb{R}^4$.If time permits, then I will also present some answers to the following question and problem of Cieliebak, Hofer, Latschev, and Schlenk:Question: Which symplectic capacities are connectedly target-representable?Problem: Find a minimal generating set of symplectic capacities.
15:15 • ETH Zentrum, Rämistrasse 101, Zürich, Building HG, Room G 43
Vikram Giri (ETH Zürich)
Turbulence and Nash iteration abstract
Abstract:
In the phenomenological theory of turbulence, ``statistical ensembles\'\' of fluid flows that obey certain symmetries are assumed to exist from which one derives various properties of the flow. In the absence of a mathematical rigorous foundation to this theory, one can ask the basic question of whether the incompressible fluid equations allow for solutions that exhibit anomalous dissipation and intermittency, two of the basic and well-established phenomena in 3 dimensional fully-developed turbulence. In the context of the incompressible Euler equations, we will use a Nash iteration, which had its origins in the problem of isometrically embedding Riemannian manifolds, to show the existence of such ``turbulent\'\' solutions. This is joint work with Hyunju Kwon and Matthew Novack. I will try to explain the background and concepts involved and the talk should be accessible to all.
16:15 • Université de Genève, Conseil Général 7-9, Room 1-15
Valentin Bosshard (ETH)
The Lagrangian cobordism group of Weinstein manifolds abstract
Abstract:
Lagrangian cobordisms induce exact triangles in the Fukayacategory. But how many exact triangles can be recovered by Lagrangiancobordisms? One way to measure this is by comparing the Lagrangiancobordism group to the Grothendieck group of the Fukaya category. In thistalk, we discuss the setting of exact conical Lagrangian submanifolds inLiouville manifolds and compute Lagrangian cobordism groups of Weinsteinmanifolds. As an application, we get a geometric interpretation for Viterborestriction for Lagrangian cobordism groups.
16:25 • ETH Zentrum, Rämistrasse 101, Zürich, Building HG, Room G 43
Dr. Sylvain Calinon (IDAP)
Abstract:
Today\'s developments in machine learning heavily focus on big data approaches. However, many applications in robotics require learning approaches that can rely on only few demonstrations or trials. The main challenge boils down to finding structures that can be used in a wide range of tasks, which requires us to advance on several fronts, including data structures and geometric structures.As example of data structures, I will discuss the use of tensor factorization techniques that can be used in global optimization problems to efficiently extract and compress information, while providing diverse human-guided learning capabilities (imitation and environment scaffolding). As examples of geometric structures, I will discuss the use of Riemannian geometry and geometric algebra in robotics, where prior knowledge about the physical world can be embedded within the representations of skills and associated learning algorithms.
17:15 • Universität Bern, Sidlerstrasse 5, 3012 Bern, Lecture Room B6