$mathsf{P}$-completeness of Graph Local Complementation

📅 2025-03-31
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This paper studies the edge-existence problem for sequential local complementations on graphs: given a graph $G$, a vertex sequence $s$, and a vertex pair $(u,v)$, determine whether $u$ and $v$ are adjacent after applying local complementations centered at each vertex in $s$ in order. The authors establish, for the first time, that this problem is P-complete—demonstrating its inherent sequentiality and resistance to efficient parallelization. They precisely delineate its complexity landscape: the problem lies in LOGSPACE for complete and star graphs, while remaining P-complete (conjectured) for cycle graphs. Technically, they achieve this by reducing the Circuit Value Problem (CVP) to sequential local complementation, constructing a compact encoding that simulates Boolean gates via local complementations. These results provide foundational complexity-theoretic insights for domains relying on local complementation models—such as quantum graph state evolution and graph reconstruction.

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📝 Abstract
Local complementation of a graph $G$ on vertex $v$ is an operation that results in a new graph $G*v$, where the neighborhood of $v$ is complemented. This operation has been widely studied in graph theory and quantum computing. This article introduces the Local Complementation Problem, a decision problem that captures the complexity of applying a sequence of local complementations. Given a graph $G$, a sequence of vertices $s$, and a pair of vertices $u,v$, the problem asks whether the edge $(u,v)$ is present in the graph obtained after applying local complementations according to $s$. The main contribution of this work is proving that this problem is $mathsf{P}$-complete, implying that computing a sequence of local complementation is unlikely to be efficiently parallelizable. The proof is based on a reduction from the Circuit Value Problem, a well-known $mathsf{P}$-complete problem, by simulating circuits through local complementations. Aditionally, the complexity of this problem is analyzed under different restrictions. In particular, it is shown that for complete and star graphs, the problem belongs to $mathsf{LOGSPACE}$. Finally, it is conjectured that the problem remains $mathsf{P}$-complete for the class of circle graphs.
Problem

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

Determines complexity of local complementation sequence application
Proves P-completeness via Circuit Value Problem reduction
Analyzes problem complexity for specific graph classes
Innovation

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

Proves P-completeness via Circuit Value Problem reduction
Analyzes complexity under complete and star graphs
Conjectures P-completeness for circle graphs class
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