Two-type interacting particles with non-local order-based switching converge in law to a McKean-Vlasov process whose long-time behavior includes traveling waves identified via phase-plane analysis of a reduced ODE system for exponential jumps.
Propagation of Chaos: A Review of Models, Methods and Applications
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
representative citing papers
Characterizes the distributional mean-field limit of co-evolving latent space networks with feedback, including empirical measures and graphon convergence, via a conditional propagation of chaos result.
Presents an optimal transport framework for simulating particle systems with arbitrary cell shapes and volumes that automatically handles exclusion constraints.
citing papers explorer
-
Flocking with Multiple Types: Competition, Fluid Limits and Traveling Waves
Two-type interacting particles with non-local order-based switching converge in law to a McKean-Vlasov process whose long-time behavior includes traveling waves identified via phase-plane analysis of a reduced ODE system for exponential jumps.
-
Mean-Field Analysis of Latent Variable Process Models on Dynamically Evolving Graphs with Feedback Effects
Characterizes the distributional mean-field limit of co-evolving latent space networks with feedback, including empirical measures and graphon convergence, via a conditional propagation of chaos result.
-
Multicellular simulations with shape and volume constraints using optimal transport
Presents an optimal transport framework for simulating particle systems with arbitrary cell shapes and volumes that automatically handles exclusion constraints.
- Uniform-in-time propagation of chaos for Second-Order Consensus-Based Optimization