A simple algorithm for computing Hamilton paths on independent set polytopes

📅 2026-09-07
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🤖 AI Summary
本文提出一种简单算法,以O(n)的摊销延迟计算给定图的独立集多面体上的哈密顿路径,避免了复杂的最大权重独立集问题。
📝 Abstract
The independent set polytope, or stable set polytope, of a graph $G$ is the 0/1-polytope defined by the convex hull of the characteristic vectors of all independent sets of $G$. We present a simple algorithm for computing a Hamilton path on the independent set polytope of a given $n$-vertex graph $G$ with amortized delay $\mathcal{O}(n)$. The independent sets are listed such that two consecutive sets differ either in removing a vertex, or adding a vertex and removing its neighbors from the independent set, i.e., the symmetric difference between two consecutive independent sets induces a star in $G$. As applications of this result, we obtain an algorithm to compute a Hamilton path on the matching polytope of an $m$-edge graph $G$ with worst-case delay $\mathcal{O}(m)$, which lists all matchings of $G$ in such a way that the symmetric difference between two consecutive matchings is a path on at most three edges. Furthermore, we obtain an algorithm to compute a Hamilton path on the chain polytope and order polytope of an $n$-element poset $P$ with amortized delay $\mathcal{O}(n)$, which lists all antichains of $P$ or all ideals of $P$, respectively, by star exchanges. Our algorithms are derived from the generic framework proposed by Merino and M\"utze (FOCS'23+SICOMP'24) for computing Hamilton paths on arbitrary 0/1-polytopes, which uses a linear optimization procedure as a black box. Our algorithms bypass solving the computationally intractable maximum weight independent set problem by a simple and purely combinatorial greedy rule.
Problem

Research questions and friction points this paper is trying to address.

Hamilton path
independent set polytope
stable set polytope
graph
polytope
Innovation

Methods, ideas, or system contributions that make the work stand out.

Hamilton path
independent set polytope
amortized delay
star exchanges
combinatorial greedy rule
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