Propagation of chaos and the many-demes limit for weakly interacting diffusions in the sparse regime
From MaRDI portal
Publication:2657941
DOI10.1214/20-AAP1559zbMath1457.60144arXiv1804.01034MaRDI QIDQ2657941
Martin Hutzenthaler, Daniel Pieper
Publication date: 18 March 2021
Published in: The Annals of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.01034
propagation of chaosexcursion measuremean-field approximationinteracting diffusionsmeasure-valued processesaltruistic defensemany-demes limittree of excursions
Interacting random processes; statistical mechanics type models; percolation theory (60K35) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)
Related Items
Differentiability of semigroups of stochastic differential equations with H\"older-continuous diffusion coefficients ⋮ Multilevel Picard approximations for McKean-Vlasov stochastic differential equations
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Spatial Fleming-Viot models with selection and mutation
- Interacting diffusions and trees of excursions: convergence and comparison
- A martingale approach to the law of large numbers for weakly interacting stochastic processes
- Mean-field backward stochastic differential equations: A limit approach
- The many-demes limit for selection and drift in a subdivided population
- Mean field games
- The Virgin Island model
- A propagation of chaos result for a system of particles with moderate interaction
- Infinite dimensional stochastic differential equations and their applications
- Rescaled contact processes converge to super-Brownian motion in two or more dimensions
- Superbrownian motion and the spatial lambda-Fleming-Viot process
- Rescaled Lotka-Volterra models converge to super-Brownian motion
- Ergodic behavior of locally regulated branching populations
- On the uniqueness of solutions of stochastic differential equations
- A law of large numbers for moderately interacting diffusion processes
- A criterion of convergence of measure‐valued processes: application to measure branching processes
- On the McKean-Vlasov Limit for Interacting Diffusions
- A decomposition of Bessel Bridges
- Probability theory. A comprehensive course