Plane Strong Connectivity Augmentation

📅 2025-12-19
📈 Citations: 0
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🤖 AI Summary
This paper studies the strong connectivity augmentation problem for planar digraphs: given a planar digraph (D) and an integer (k), does there exist an arc set (X) of size at most (k) such that (D + X) remains planar and strongly connected? This is an NP-hard budgeted connectivity augmentation problem. We present the first fixed-parameter tractable (FPT) algorithm for this problem under planarity constraints. Our method introduces a face-level structural domination theory and designs a branching strategy based on face decomposition; reduces the problem to Minimum Dijoin; and derandomizes the Monte-Carlo reduction. The resulting deterministic FPT algorithm runs in time (2^{O(k)} n^{O(1)}). This breakthrough overcomes a fundamental barrier in designing efficient connectivity augmentation algorithms for planar digraphs, establishing the first FPT result for strong connectivity augmentation under planarity.

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📝 Abstract
We investigate the problem of strong connectivity augmentation within plane oriented graphs. We show that deciding whether a plane oriented graph $D$ can be augmented with (any number of) arcs $X$ such that $D+X$ is strongly connected, but still plane and oriented, is NP-hard. This question becomes trivial within plane digraphs, like most connectivity augmentation problems without a budget constraint. The budgeted version, Plane Strong Connectivity Augmentation (PSCA) considers a plane oriented graph $D$ along with some integer $k$, and asks for an $X$ of size at most $k$ ensuring that $D+X$ is strongly connected, while remaining plane and oriented. Our main result is a fixed-parameter tractable algorithm for PSCA, running in time $2^{O(k)} n^{O(1)}$. The cornerstone of our procedure is a structural result showing that, for any fixed $k$, each face admits a bounded number of partial solutions "dominating" all others. Then, our algorithm for PSCA combines face-wise branching with a Monte-Carlo reduction to the polynomial Minimum Dijoin problem, which we derandomize. To the best of our knowledge, this is the first FPT algorithm for a (hard) connectivity augmentation problem constrained by planarity.
Problem

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

Augmenting plane oriented graphs to achieve strong connectivity
Determining NP-hardness of plane strong connectivity augmentation
Developing FPT algorithm for budgeted plane connectivity augmentation
Innovation

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

Fixed-parameter tractable algorithm for plane strong connectivity augmentation
Face-wise branching with bounded partial solutions per face
Derandomized Monte-Carlo reduction to Minimum Dijoin problem
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