Mathematics – Numerical Analysis
Scientific paper
2011-06-28
Discrete & Computational Geometry (2012)
Mathematics
Numerical Analysis
LaTeX2e, 24 pages including 1 appendix
Scientific paper
10.1007/s00454-012-9426-4
The goal of this paper is to present a general and novel approach for the reconstruction of any convex d-dimensional polytope P, from knowledge of its moments. In particular, we show that the vertices of an N-vertex polytope in R^d can be reconstructed from the knowledge of O(DN) axial moments (w.r.t. to an unknown polynomial measure od degree D) in d+1 distinct generic directions. Our approach is based on the collection of moment formulas due to Brion, Lawrence, Khovanskii-Pukhikov, and Barvinok that arise in the discrete geometry of polytopes, and what variously known as Prony's method, or Vandermonde factorization of finite rank Hankel matrices.
Gravin Nick
Lasserre Jean
Pasechnik Dmitrii
Robins Sinai
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