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Renormalization group for Gibbs point processes

Subject Area Mathematics
Term since 2020
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 443922708
 
Proving the existence of phase transitions and condensation for particles in continuous space is a challenging open problem in mathematical statistical physics. We propose a program to make the droplet picture of condensation rigorous. The key tool to be developed is a renormalization group theory for Gibbs point processes that is applied to mixtures of droplets, for example mixtures of hard spheres of different sizes. The relevant systems are multi-scale; different scales correspond to different droplet sizes. In the new renormalization theory, the superposition principle of Poisson point processes plays a role similar to the additivity of covariances of independent Gaussian fields. We apply the theory to compute free energies and density functionals and to prove first-order phase transitions. The program is of direct relevance to Gibbs hard-core models in stochastic geometry and connects to diagrammatic techniques for point processes. The droplet picture is also highly relevant for effective coagulation-fragmentation models in dynamic studies of condensation and metastability.
DFG Programme Priority Programmes
 
 

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