Math @ Duke
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Publications [#360558] of Jianfeng Lu
Papers Published
- Lu, J; Murphey, C; Steinerberger, S, Fast Localization of Eigenfunctions via Smoothed Potentials,
Journal of Scientific Computing, vol. 90 no. 1
(January, 2022) [doi]
(last updated on 2024/04/18)
Abstract: We study the problem of predicting highly localized low-lying eigenfunctions (- Δ + V) ϕ= λϕ in bounded domains Ω ⊂ Rd for rapidly varying potentials V. Filoche and Mayboroda introduced the function 1/u, where (- Δ + V) u= 1 , as a suitable regularization of V from whose minima one can predict the location of eigenfunctions with high accuracy. We proposed a fast method that produces a landscapes that is exceedingly similar, can be used for the same purposes and can be computed very efficiently: the computation time on an n× n grid, for example, is merely O(n2log n) , the cost of two FFTs.
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