Simplex slicing: an asymptotically-sharp lower bound
Metric Geometry
2024-06-24 v2 Functional Analysis
Abstract
We show that for the regular n-simplex, the 1-codimensional central slice that's parallel to a facet will achieve the minimum area (up to a 1-o(1) factor) among all 1-codimensional central slices, thus improving the previous best known lower bound (Brzezinski 2013) by a factor of . In addition to the standard technique of interpreting geometric problems as problems about probability distributions and standard Fourier-analytic techniques, we rely on a new idea, mainly \emph{changing the contour of integration} of a meromorphic function.
Cite
@article{arxiv.2403.13224,
title = {Simplex slicing: an asymptotically-sharp lower bound},
author = {Colin Tang},
journal= {arXiv preprint arXiv:2403.13224},
year = {2024}
}