A Second-Order Nonlocal Approximation to Manifold Poisson Models with Neumann Boundary
<|reference_start|>A Second-Order Nonlocal Approximation to Manifold Poisson Models with Neumann Boundary: In this paper, we propose a class of nonlocal models to approximate the Poisson model on manifolds with homogeneous Neumann boundary condition, where the manifolds are assumed to be embedded in high dimensional Euclid spaces. In comparison to the existing nonlocal approximation of Poisson models with Neumann boundary, we optimize the truncation error of model by adding an augmented term along the $2\delta$ layer of boundary, with $2\delta$ be the nonlocal interaction horizon. Such term is formulated by the integration of the second order normal derivative of solution through the boundary, while the second order normal derivative is expressed as the difference between the interior Laplacian and the boundary Laplacian. The concentration of our paper is on the construction of nonlocal model, the well-posedness of model, and its second-order convergence rate to its local counterpart. The localization rate of our nonlocal model is currently optimal among all related works even for the case of high dimensional Euclid spaces.<|reference_end|>
@article{zhang2024a,
    title={A Second-Order Nonlocal Approximation to Manifold Poisson Models with
  Neumann Boundary},
    author={Yajie Zhang, Zuoqiang Shi},
    journal={arXiv preprint arXiv:2403.05888},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.05888},
    primaryClass={math.NA cs.NA}
}