Finding Closed Quasigeodesics on Convex Polyhedra
| Autor: | Demaine, Erik D., Hesterberg, Adam C., Ku, Jason S. |
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| Rok vydání: | 2020 |
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| Druh dokumentu: | Working Paper |
| Popis: | A closed quasigeodesic is a closed curve on the surface of a polyhedron with at most $180^\circ$ of surface on both sides at all points; such curves can be locally unfolded straight. In 1949, Pogorelov proved that every convex polyhedron has at least three (non-self-intersecting) closed quasigeodesics, but the proof relies on a nonconstructive topological argument. We present the first finite algorithm to find a closed quasigeodesic on a given convex polyhedron, which is the first positive progress on a 1990 open problem by O'Rourke and Wyman. The algorithm establishes for the first time a quasipolynomial upper bound on the total number of visits to faces (number of line segments), namely, $O\left(\frac{n \, L^3}{\epsilon^2 \, \ell^3}\right)$ where $n$ is the number of vertices of the polyhedron, $\epsilon$ is the minimum curvature of a vertex, $L$ is the length of the longest edge, and $\ell$ is the smallest distance within a face between a vertex and a nonincident edge (minimum feature size of any face). On the real RAM, the algorithm's running time is also pseudopolynomial, namely $O\left(\frac{n \, L^3}{\epsilon^2 \, \ell^3} \log n\right)$. On a word RAM, the running time grows to $O\left(b^2 \cdot \frac{n^8 \log n}{\epsilon^8} \cdot \frac{L^{21}}{\ell^{21}}\cdot 2^{O(|\Lambda|)}\right)$, where $|\Lambda|$ is the number of distinct edge lengths in the polyhedron, assuming its intrinsic or extrinsic geometry is given by rational coordinates each with at most $b$ bits. This time bound remains pseudopolynomial for polyhedra with $O(\log n)$ distinct edges lengths, but is exponential in the worst case. Along the way, we introduce the expression RAM model of computation, formalizing a connection between the real RAM and word RAM hinted at by past work on exact geometric computation. Comment: 35 pages, 11 figures. Extensive revision to expression RAM model of computation, correcting an error from SoCG 2020 version |
| Databáze: | arXiv |
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