Propagation of chaos: a review of models, methods and applications. II. Applications
LP Chaintron, A Diez - arXiv preprint arXiv:2106.14812, 2021 - arxiv.org
The notion of propagation of chaos for large systems of interacting particles originates in
statistical physics and has recently become a central notion in many areas of applied …
statistical physics and has recently become a central notion in many areas of applied …
Hierarchies, entropy, and quantitative propagation of chaos for mean field diffusions
D Lacker - Probability and Mathematical Physics, 2023 - msp.org
This paper develops a nonasymptotic, local approach to quantitative propagation of chaos
for a wide class of mean field diffusive dynamics. For a system of n interacting particles, the …
for a wide class of mean field diffusive dynamics. For a system of n interacting particles, the …
Well-posedness of distribution dependent SDEs with singular drifts
Consider the following distribution dependent SDE: dXt= σt (Xt, μXt) dWt+ bt (Xt, μXt) dt,
where μXt stands for the distribution of Xt. In this paper for non-degenerate σ, we show the …
where μXt stands for the distribution of Xt. In this paper for non-degenerate σ, we show the …
Sliced-Wasserstein flows: Nonparametric generative modeling via optimal transport and diffusions
By building upon the recent theory that established the connection between implicit
generative modeling (IGM) and optimal transport, in this study, we propose a novel …
generative modeling (IGM) and optimal transport, in this study, we propose a novel …
From nonlinear Fokker–Planck equations to solutions of distribution dependent SDE
We construct weak solutions to the McKean–Vlasov SDE d X (t)= b (X (t), d LX (t) dx (X (t)))
dt+ σ (X (t), d LX (t) dt (X (t))) d W (t) on ℝ d for possibly degenerate diffusion matrices σ with …
dt+ σ (X (t), d LX (t) dt (X (t))) d W (t) on ℝ d for possibly degenerate diffusion matrices σ with …
[HTML][HTML] Distribution dependent SDEs with singular coefficients
X Huang, FY Wang - Stochastic Processes and their Applications, 2019 - Elsevier
Under integrability conditions on distribution dependent coefficients, existence and
uniqueness are proved for distribution dependent SDEs with non-degenerate noise. When …
uniqueness are proved for distribution dependent SDEs with non-degenerate noise. When …
Convergence analysis of machine learning algorithms for the numerical solution of mean field control and games I: The ergodic case
R Carmona, M Laurière - SIAM Journal on Numerical Analysis, 2021 - SIAM
We propose two algorithms for the solution of the optimal control of ergodic McKean--Vlasov
dynamics. Both algorithms are based on approximations of the theoretical solutions by …
dynamics. Both algorithms are based on approximations of the theoretical solutions by …
On a strong form of propagation of chaos for McKean-Vlasov equations
D Lacker - 2018 - projecteuclid.org
This note shows how to considerably strengthen the usual mode of convergence of an n-
particle system to its McKean-Vlasov limit, often known as propagation of chaos, when the …
particle system to its McKean-Vlasov limit, often known as propagation of chaos, when the …
McKean–Vlasov SDEs under measure dependent Lyapunov conditions
We prove the existence of weak solutions to McKean–Vlasov SDEs defined on a domain
D⊆ R d with continuous and unbounded coefficients and degenerate diffusion coefficient …
D⊆ R d with continuous and unbounded coefficients and degenerate diffusion coefficient …
Strong convergence of propagation of chaos for McKean–Vlasov SDEs with singular interactions
In this work we show the strong convergence of propagation of chaos for the particle
approximation of McKean-Vlasov SDEs with singular-interactions as well as for the …
approximation of McKean-Vlasov SDEs with singular-interactions as well as for the …