PolSymAGA | Polarity and Central-Symmetry in Asymptotic Geometric Analysis

Summary
Asymptotic Geometric Analysis is a relatively new field, the young finite dimensional cousin of Banach Space theory, functional analysis and classical convexity. It concerns the {\em geometric} study of high, but finite, dimensional objects, where the disorder of many parameters and many dimensions is ``regularized'' by convexity assumptions.

The proposed research is composed of several connected innovative studies in the frontier of Asymptotic Geometric Analysis, pertaining to the deeper understanding of two fundamental notions: Polarity and Central-Symmetry.
While the main drive comes from Asymptotic Convex Geometry, the applications extend throughout many mathematical fields from analysis, probability and symplectic geometry to combinatorics and computer science. The project will concern: The polarity map for functions, functional covering numbers, measures of Symmetry, Godbersen's conjecture, Mahler's conjecture, Minkowski billiard dynamics and caustics.

My research objectives are twofold. First, to progress towards a solution of the open research questions described in the proposal, which I consider to be pivotal in the field, including Mahler's conjecture, Viterbo's conjecture and Godberesen's conjecture. Some of these questions have already been studied intensively, and the solution is yet to found; progress toward solving them would be of high significance. Secondly, as the studies in this proposal lie at the meeting point of several mathematical fields, and use Asymptotic Geometric Analysis in order to address major questions in other fields, such as Symplectic Geometry and Optimal transport theory, my second goal is to deepen these connections, creating a powerful framework that will lead to a deeper understanding, and the formulation, and resolution, of interesting questions currently unattainable.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/770127
Start date: 01-09-2018
End date: 31-08-2025
Total budget - Public funding: 1 514 125,00 Euro - 1 514 125,00 Euro
Cordis data

Original description

Asymptotic Geometric Analysis is a relatively new field, the young finite dimensional cousin of Banach Space theory, functional analysis and classical convexity. It concerns the {\em geometric} study of high, but finite, dimensional objects, where the disorder of many parameters and many dimensions is ``regularized'' by convexity assumptions.

The proposed research is composed of several connected innovative studies in the frontier of Asymptotic Geometric Analysis, pertaining to the deeper understanding of two fundamental notions: Polarity and Central-Symmetry.
While the main drive comes from Asymptotic Convex Geometry, the applications extend throughout many mathematical fields from analysis, probability and symplectic geometry to combinatorics and computer science. The project will concern: The polarity map for functions, functional covering numbers, measures of Symmetry, Godbersen's conjecture, Mahler's conjecture, Minkowski billiard dynamics and caustics.

My research objectives are twofold. First, to progress towards a solution of the open research questions described in the proposal, which I consider to be pivotal in the field, including Mahler's conjecture, Viterbo's conjecture and Godberesen's conjecture. Some of these questions have already been studied intensively, and the solution is yet to found; progress toward solving them would be of high significance. Secondly, as the studies in this proposal lie at the meeting point of several mathematical fields, and use Asymptotic Geometric Analysis in order to address major questions in other fields, such as Symplectic Geometry and Optimal transport theory, my second goal is to deepen these connections, creating a powerful framework that will lead to a deeper understanding, and the formulation, and resolution, of interesting questions currently unattainable.

Status

SIGNED

Call topic

ERC-2017-COG

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2017
ERC-2017-COG