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Hardness Results for Optimal Homology Bases

C. Chen and D. Freedman

Discrete and Computational Geometry, 2011

In this paper, we address the problem of localizing homology classes, namely, finding the cycle representing a given class with the most concise geometric measure. We study the problem with different measures: volume, diameter and radius. For volume, that is, the 1-norm of a cycle, we prove the problem is NP-hard to approximate within any constant factor. We also prove that for homology of 2-dimension or higher, the problem is NP-hard to approximate even when the Betti number is O(1). A side effect is the inapproximability proof of the problem of computing the nonbounding cycle with the smallest volume, and computing cycles representing a homology basis with the minimal total volume. As for the other two measures defined by pairwise geodesic distance, we show that the localization problem is NP-hard for diameter, but is polynomial for radius.

© 2025 by Daniel Freedman / Research Scientist

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