An analogue of the Aleksandrov projection theorem for convex lattice polygons

Аналог теоремы Александрова о проекциях для выпуклых решётчатых многоугольников
Ning Zhang
2016-07-20

Aleksandrov projection theoremconvex lattice polygonsconvex lattice polytopesdiscrete tomographyorigin-symmetric polytopes
Let $K$ and $L$ be origin-symmetric convex lattice polytopes in $\mathbb {R}^n$. We study a discrete analogue of the Aleksandrov projection theorem. If for every $u\in \mathbb {Z}^n$, the sets $(K\cap \mathbb {Z}^n)|u^\perp$ and $(L\cap \mathbb {Z}^n)|u^\perp$ have the same number of points, is $K=L$? We give a positive answer to this problem in $\mathbb {Z}^2$ under the additional hypothesis that $(2K\cap \mathbb {Z}^2)|u^\perp$ and $(2L\cap \mathbb {Z}^2)|u^\perp$ have the same number of points for every $u\in \mathbb {Z}^n$.
1
In two dimensions, equality of projected lattice-point counts for both K and L, and for their dilates 2K and 2L, implies K=L.
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The analysis concerns projections onto integer-direction orthogonal hyperplanes and compares the numbers of projected lattice points.
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The paper studies a discrete analogue of the Aleksandrov projection theorem for origin-symmetric convex lattice polytopes.
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The result provides a positive answer to the uniqueness problem under the additional projection-count hypothesis for doubled polytopes.

origin-symmetric convex lattice polygons in Z^2

uniqueness determined by the numbers of lattice points in all orthogonal projections, including projections of the doubled polygons

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2016-07-20
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Ning Zhang
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