Minimum Edge-Outerplanar Embeddings are Polynomial-Time Computable

📅 2026-07-09
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🤖 AI Summary
This work resolves an open problem posed by Bentz (2009) concerning whether the minimum edge-outerplanarity of a planar graph can be computed in polynomial time. By means of a constructive proof, we present the first polynomial-time algorithm capable of efficiently computing a minimum edge-outerplanar embedding for any planar graph. Our approach integrates techniques from graph theory and algorithm design, complemented by AI-assisted reasoning and rigorous manual verification. This not only establishes the computational tractability of the problem but also offers novel insights and methodological tools for related graph embedding challenges.
📝 Abstract
We prove that the minimum edge-outerplanarity of a planar graph can be computed in polynomial time, resolving an open problem of Bentz (2009). The proof was initially produced by GPT~5.5 Pro and then verified and polished manually.
Problem

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

edge-outerplanarity
planar graph
polynomial-time computable
graph embedding
Innovation

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

edge-outerplanarity
polynomial-time algorithm
planar graph
graph embedding
AI-assisted proof
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