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Award ID contains: 1846854

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  1. ; ; ; (, Journal of Computational Physics)
    Free, publicly-accessible full text available October 1, 2026
  2. ; ; (, SIAM Journal on Applied Mathematics)
    Free, publicly-accessible full text available February 28, 2026
  3. ; ; (, Multiscale Modeling & Simulation)
    Free, publicly-accessible full text available December 31, 2025
  4. ; ; ; (, Physica D: Nonlinear Phenomena)
    Free, publicly-accessible full text available December 1, 2025
  5. ; ; (, SIAM/ASA Journal on Uncertainty Quantification)
    Full Text Available 
  6. ; ; (, Journal of Computational Physics)
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  7. ; (, Mathematics of Computation)
    We establish a uniform-in-scaling error estimate for the asymptotic preserving (AP) scheme proposed by Xu and Wang [Commun. Math. Sci. 21 (2023), pp. 1–23] for the Lévy-Fokker-Planck (LFP) equation. The main difficulties stem not only from the interplay between the scaling and numerical parameters but also the slow decay of the tail of the equilibrium state. We tackle these problems by separating the parameter domain according to the relative size of the scaling parameter ε<#comment/> \varepsilon : in the regime where ε<#comment/> \varepsilon is large, we design a weighted norm to mitigate the issue caused by the fat tail, while in the regime where ε<#comment/> \varepsilon is small, we prove a strong convergence of LFP towards its fractional diffusion limit with an explicit convergence rate. This method extends the traditional AP estimates to cases where uniform bounds are unavailable. Our result applies to any dimension and to the whole span of the fractional power. 
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  8. ; ; (, SIAM Journal on Numerical Analysis)
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  9. ; ; ; (, Journal of Computational Physics)
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  10. ; ; (, SIAM Journal on Numerical Analysis)
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