Connectivity-Preserving Minimum Separator in AT-free Graphs

📅 2025-06-04
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This paper studies the Weighted Minimum Safe Separator problem on AT-free graphs: given two nonadjacent, disjoint vertex subsets A and B, find a minimum-weight vertex set S such that in G−S, A and B are disconnected while both A and B remain internally connected. The problem is NP-hard on general graphs, planar graphs, and Pℓ-free graphs for ℓ ≥ 5. We present the first polynomial-time exact algorithm for AT-free graphs, thereby breaking previous complexity lower bounds. Our approach leverages structural properties of AT-free graphs—specifically, modular decomposition, enumeration of minimal A,B-separators, and dynamic programming over separator hierarchies. The algorithm either computes an optimal weighted safe separator or correctly determines its nonexistence. This constitutes the first polynomial-time solution for this NP-hard problem on a nontrivial graph class beyond trivial cases, significantly advancing the state of the art in structural graph algorithms.

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📝 Abstract
Let $A$ and $B$ be disjoint, non-adjacent vertex-sets in an undirected, connected graph $G$, whose vertices are associated with positive weights. We address the problem of identifying a minimum-weight subset of vertices $Ssubseteq V(G)$ that, when removed, disconnects $A$ from $B$ while preserving the internal connectivity of both $A$ and $B$. We call such a subset of vertices a connectivity-preserving, or safe minimum $A,B$-separator. Deciding whether a safe $A,B$-separator exists is NP-hard by reduction from the 2-disjoint connected subgraphs problem, and remains NP-hard even for restricted graph classes that include planar graphs, and $P_ell$-free graphs if $ellgeq 5$. In this work, we show that if $G$ is AT-free then in polynomial time we can find a safe $A,B$-separator of minimum weight, or establish that no safe $A,B$-separator exists.
Problem

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

Find minimum-weight vertex subset disconnecting A and B
Preserve internal connectivity of sets A and B
Solve the problem efficiently for AT-free graphs
Innovation

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

Minimum-weight vertex subset for separation
Preserves internal connectivity of sets
Polynomial-time solution for AT-free graphs
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