Branching Random Walks and Interacting particle System in Random Environment.
Percolation and phase transition of spin systems on Lorentzian random graphs
Stochastic chains with unbounded memory and random walks on graphs
Grant number: | 19/08557-0 |
Support Opportunities: | Regular Research Grants |
Duration: | September 01, 2019 - August 31, 2020 |
Field of knowledge: | Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics |
Convênio/Acordo: | Concytec |
Mobility Program: | SPRINT - Projetos de pesquisa - Mobilidade |
Principal Investigator: | Anatoli Iambartsev |
Grantee: | Anatoli Iambartsev |
Host Institution: | Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
Associated research grant: | 17/10555-0 - Stochastic modeling of interacting systems, AP.TEM |
Abstract
We study the phase transition phenomenon in the context of percolation on causal random graph (the authors have several published results) and the application of percolations techniques to market microstructure models. The academic visits will be focused on the working with some new partial results about percolation on (causal) random graph and recent results about models of market microstructure. These recent works will be formulated in the framework of random structure with attributes. This short-term collaboration starts the new ambitious long-term collaboration project - random evolution of networks with its attributes. (AU)
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