Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 59 min ago
PreprintCC BY-NC-ND 4.0arXiv

Tamed Euler Approximation of Invariant Measures for Weakly Interacting Particle Systems and McKean--Vlasov Equations

Abstract

We analyze explicit tamed Euler approximations for weakly interacting particle systems and McKean--Vlasov diffusions with additive noise and polynomially weighted locally Hölder, possibly superlinear drift.Under dissipativity at infinity and suitable stability assumptions, we establish time-uniform W1 bounds by reflection coupling, separating relaxation, time-discretization, and finite-particle errors.For small step sizes, we prove existence and uniqueness of numerical invariant laws and bound their error relative to the continuous-time particle invariant law uniformly in N in a normalized joint W1 distance. We further bound the error of the one-particle numerical invariant marginal relative to the McKean--Vlasov invariant law by O(θmin{α,β/2}+N−1/2), where θ is the step size, N the particle number, α∈(0,1/2] the taming exponent, and β∈(0,1] the Hölder exponent. Analytical examples illustrate the framework for smooth and non-Lipschitz drifts.

Related

  1. Invariant Measures for Interacting Continuous-State Population Models
    Lina Ji, Jie Xiong, Wen Xu +1
    arXivPreprintCC0Full textProbabilityarXiv
  2. Wasserstein bounds for invariant measures in the Smoluchowski-Kramers approximation with stable noise
    Xinghu Jin, Wenxuan Tao
    arXivPreprintCC BY 4.0Full textProbabilityarXiv
  3. Atomic limits of empirical measures of interacting particle systems with self-duality
    Mario Ayala, Nicolas Dirr, Johannes Zimmer
    arXivPreprintarXiv licenceFull textMathematical physicsProbabilityarXiv
  4. Periodic measures for time-inhomogeneous stochastic differential equations driven by multiplicative α-stable processes: Existence, uniqueness and numerical approximation
    Jiaquan Lu, Huaizhong Zhao
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  5. Deep operator learning for efficient sampling from invariant measures of stochastic differential equations
    Ling Guo, Lei Li, Jingtong Zhang
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingarXiv
BibTeX
@misc{cheng2026tamed,
  title = {{Tamed Euler Approximation of Invariant Measures for Weakly Interacting Particle Systems and McKean--Vlasov Equations}},
  author = {Lingyan Cheng and Ruinan Li and Shiyu Liu and Wei Liu},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.29314},
  eprint = {2610.29314},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.29314},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Tamed Euler Approximation of Invariant Measures for Weakly Interacting Particle Systems and McKean--Vlasov Equations
AU  - Lingyan Cheng
AU  - Ruinan Li
AU  - Shiyu Liu
AU  - Wei Liu
PY  - 2026
DA  - 2026/10/21
PB  - arXiv
DO  - 10.48550/arxiv.2610.29314
UR  - https://arxiv.org/abs/2610.29314
AB  - We analyze explicit tamed Euler approximations for weakly interacting particle systems and McKean--Vlasov diffusions with additive noise and polynomially weighted locally Hölder, possibly superlinear drift.Under dissipativity at infinity and suitable stability assumptions, we establish time-uniform W_1 bounds by reflection coupling, separating relaxation, time-discretization, and finite-particle errors.For small step sizes, we prove existence and uniqueness of numerical invariant laws and bound their error relative to the continuous-time particle invariant law uniformly in N in a normalized joint W_1 distance. We further bound the error of the one-particle numerical invariant marginal relative to the McKean--Vlasov invariant law by O(θ^min{α,β/2}+N^−1/2), where θ is the step size, N the particle number, α∈(0,1/2] the taming exponent, and β∈(0,1] the Hölder exponent. Analytical examples illustrate the framework for smooth and non-Lipschitz drifts.
ER  -