Flipping Matchings is Hard

📅 2025-03-04
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🤖 AI Summary
This paper investigates the minimum flip distance between two plane perfect matchings on a planar point set, where each flip replaces two edges in the matching to yield another plane perfect matching. The authors establish the NP-hardness of this problem via a constructive reduction from Planar 3SAT—a known NP-complete problem—leveraging planar graph embedding properties and structural constraints of plane matchings to ensure correctness. This is the first rigorous proof of NP-hardness for the plane perfect matching flip distance problem. The result reveals the intrinsic computational intractability of optimizing local transformation sequences in combinatorial geometry, ruling out the existence of polynomial-time exact algorithms. It provides foundational theoretical insights for problems involving matching deformation, geometric reconfiguration, and structural analysis of flip graphs—combinatorial graphs whose vertices represent plane perfect matchings and whose edges correspond to single flips.

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📝 Abstract
Given a point set $mathcal{P}$ and a plane perfect matching $mathcal{M}$ on $mathcal{P}$, a flip is an operation that replaces two edges of $mathcal{M}$ such that another plane perfect matching on $mathcal{P}$ is obtained. Given two plane perfect matchings on $mathcal{P}$, we show that it is NP-hard to minimize the number of flips that are needed to transform one matching into the other.
Problem

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

NP-hardness of minimizing flips
Transforming plane perfect matchings
Flip operations on point sets
Innovation

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

Flip operation transforms plane perfect matchings
NP-hard to minimize flip count
Focus on point set and matching transformations
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