Fast and Robust Method for Screened Poisson Lattice Green's Function Using Asymptotic Expansion and Fast Fourier Transform
Abstract
We study the lattice Green’s function (LGF) of the screened Poisson equation on a two-dimensional rectangular lattice. This LGF arises in numerical analysis, random walks, solid-state physics, and other fields. Its defining characteristic is the screening term, which defines different regimes. When its coefficient is large, we can accurately approximate the LGF with an exponentially converging asymptotic expansion, and its convergence rate monotonically increases with the coefficient of the screening term. To tabulate the LGF when the coefficient is not large, we derive a one-dimensional integral representation of the LGF. We show that the trapezoidal rule can approximate this integral with exponential convergence, and we propose an efficient algorithm for its evaluation via the fast Fourier transform. We discuss applications including computing the LGF of the three-dimensional Poisson equation with one periodic direction and the return probability of a two-dimensional random walk with killing.
Copyright and License
© 2025 Society for Industrial and Applied Mathematics.
Additional Information
This paper has been awarded the “SIAM Reproducibility Badge: Code and data available” as a recognition that the authors have followed reproducibility principles valued by SISC and the scientific computing community. Code and data that allow readers to reproduce the results in this paper are available at https://github.com/WeiHou1996/Fast-Screened-Poisson-LGF and in the supplementary materials (Fast-Screened-Poisson-LGF-main.zip [1.59MB]).
Supplemental Material
Acknowledgement
The authors would like to thank Prof. John Sader for the inspiring discussions.
Funding
This work was supported in part by the Boeing Company (CT-BA-GTA-1).
Files
fast-screened-poisson-lgf-main.zip
Additional details
Funding
- Boeing (United States)
- CT-BA-GTA-1
Dates
- Available
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2025-04-10Published online
Caltech Custom Metadata
- Caltech groups
- Division of Engineering and Applied Science (EAS)
- Publication Status
- Published