AI & ML
Mathematical foundation of symmetric fast Fourier transform
arXiv cs.NA0 views
arXiv:2610.11972v1 Announce Type: new Abstract: In this work, we study the fast Fourier transform (FFT) of discrete data with crystallographic symmetry, for which standard FFT algorithms incur substantial redundant computation. We establish a rigorous mathematical theory of the symmetric fast Fourier transform (SFFT) for $n$-dimensional crystallographic groups and propose the SFFT and symmetric inverse fast Fourier transform (SIFFT) algorithms. We derive symmetry-reduction formulas for both linear and translational symmetries and unify them into a recursive framework. We analyze the arithmetic complexity to obtain theoretical speedup factors relative to the standard FFT, and we confirm the accuracy and efficiency of the proposed methods by numerical experiments on representative three-dimensional space groups.
Source:https://arxiv.org/abs/2610.11972PreviousData-Driven Free-Energy Learning from Trajectories via Structure-Preserving Exponential Time DifferencingNextModel Order Reduction for Parametric Dissipative Quantum Systems
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