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Random dynamics and Geometric analysis

Project description

Exploring stochastic processes through random dynamics and geometric analysis

Together, random dynamics and geometric analysis explore how randomness affects geometric properties and how geometric methods provide understanding of their complex, unpredictable behaviours and diffusion processes. In this context, the ERC-funded RanGe project proposes to mathematically analyse the theory of stochastic processes and their applications. Particular attention will be given to the interplay between random dynamics and the geometric space where they are defined. To do so, it will investigate three key areas. The first is stochastic partial differential equations on fractals, focusing on the stochastic heat equation and the parabolic Anderson model. Second, are diffusion methods in sub-Riemannian geometry in relation to novel notions of curvature bounds. Third are the connections between random matrices and the theory of flag manifolds.

Objective

I propose a project in mathematics on the theory of stochastic processes and their applications. I am particularly interested in the interactions between certain random dynamics and the geometry of the space on which they are defined. The focus will be on three parallel ambitious research directions:
(i) Stochastic partial differential equations on fractals, with a focus on the stochastic heat equation and the parabolic Anderson model;
(ii) Diffusion methods in sub-Riemannian geometry with a focus on novel notions of curvature bounds;
(iii) Random matrices with a focus on its connections with the theory of flag manifolds.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

(opens in new window) ERC-2024-ADG

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Host institution

AARHUS UNIVERSITET
Net EU contribution
€ 2 469 703,00
Address
NORDRE RINGGADE 1
8000 Aarhus C
Denmark
Region
Danmark Midtjylland Østjylland
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Beneficiaries (1)