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Ergodic theory for complex systems: a rigorous study of dynamics on heterogeneous networks

Project description

Concrete mathematical descriptions emerge from abstract dynamical systems theories

Mathematical models are critical to our understanding of many phenomena: stock market activity, individual investor choices, and the emergence of neural network functions based on the properties of individual neurons. These models enable us to test hypotheses and make predictions, enhancing understanding and improving decision-making. Their value grows as the problem's complexity increases. However, when it comes to complex systems involving the dynamic interaction of multiple different types of agents, deriving the mathematics leading to the best models that accurately describe and predict emergent network behaviours is even more difficult. The EU-funded ErgThComplexSys project is drawing on abstract theory to solve concrete problems and bridge the gap for mathematical models with real-world features.

Objective

"Nowadays, networks of interacting systems appear in many areas of Science such as physics, chemistry, biology and also engineering and the human sciences. Examples range from solid state physics, to astrophysics, reaction-diffusion equations, transportation systems, the Internet, social networks, opinion models, etc. This vast spectrum of applications has stimulated a broad interdisciplinary endeavour to predict and control the behaviour of so-called ""complex systems"", namely large ensembles of units coupled through an intricate interaction web. While various theoretical and computational approaches to these systems have been developed, from the mathematical perspective, their analysis remains extremely challenging. Very little has been accomplished, especially as the description of the dynamical mechanisms underlying overall functioning is concerned. The proposed project aims to develop a novel rigorous approach to describe the emergence of global behaviour in complex heterogeneous systems, given their microscopic constituents such as individual dynamics and interaction nature/structure. At the interface between pure and applied mathematics, our approach will rely on results from abstract ergodic theory, especially as they have been recently obtained for non-uniformly hyperbolic systems, to address concrete mathematical models exhibiting real-world features."

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2018

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Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 257 619,84
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 257 619,84

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