Mean field interaction on random graphs with dynamically changing multi-color edges
DOI10.1016/j.spa.2021.07.005zbMath1476.60144arXiv1912.01785OpenAlexW3185721605MaRDI QIDQ2238889
Publication date: 2 November 2021
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1912.01785
exchangeabilitydynamical random graphscentral limit theoremspropagation of chaosmean field interactionendogenous common noise
Central limit and other weak theorems (60F05) Random graphs (graph-theoretic aspects) (05C80) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Processes in random environments (60K37) Continuous-time Markov processes on discrete state spaces (60J27) Exchangeability for stochastic processes (60G09) Jump processes on discrete state spaces (60J74)
Related Items (5)
Cites Work
- Weak and strong solutions of general stochastic models
- A note on dynamical models on random graphs and Fokker-Planck equations
- Nonlinear reflecting diffusion process, and the propagation of chaos and fluctuations associated
- Modelling pattern formation through differential repulsion
- Macroscopic limits for stochastic partial differential equations of McKean-Vlasov type
- Hybrid switching diffusions. Properties and applications
- Symmetric statistics, Poisson point processes, and multiple Wiener integrals
- Point processes and queues. Martingale dynamics
- McKean-Vlasov Ito-Skorohod equations, and nonlinear diffusions with discrete jump sets
- Ecole d'été de probabilités de Saint-Flour XIX, France, du 16 août au 2 septembre 1989
- Continuous-time Markov chains. An applications-oriented approach
- Particle representations for a class of nonlinear SPDEs
- Large deviations for small noise diffusions in a fast Markovian environment
- Weakly interacting particle systems on inhomogeneous random graphs
- Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons
- Interacting diffusions on random graphs with diverging average degrees: hydrodynamics and large deviations
- Supermarket model on graphs
- Propagation of chaos in neural fields
- Limits of relative entropies associated with weakly interacting particle systems
- Gossip Algorithms
- Central limit theorem for a system of Markovian particles with mean field interactions
- Criteria for ergodicity, exponential ergodicity and strong ergodicity of Markov processes
- Mean field games: A toy model on an Erdös-Renyi graph.
- Fast Non-mean-field Networks: Uniform in Time Averaging
- A law of large numbers and large deviations for interacting diffusions on Erdős–Rényi graphs
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Mean field interaction on random graphs with dynamically changing multi-color edges