Courcelle's Theorem Without Logic

📅 2025-05-05
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Courcelle’s theorem is limited to graph properties definable in monadic second-order logic, excluding many natural properties—such as certain spectral or connectivity variants—that lack logical definability yet exhibit structural regularity. Method: We propose a logic-agnostic generalization framework for graphs of treewidth ≤ k: any graph property verifiable in linear time admits an O(t(G))-time decision algorithm—where t(G) is the number of nodes in a tree decomposition—if it satisfies a purely combinatorial rank condition based on generalized connection matrices. Contribution/Results: Our approach replaces logical definability with combinatorial invariance, using generalized connection matrices and rank-based structural analysis as core theoretical tools. This establishes a direct combinatorial link between tree-decomposition structure and decidability, bypassing monadic second-order logic entirely. The framework significantly extends the scope of Courcelle’s theorem, enabling linear-time algorithms for numerous non–logic-definable properties exhibiting low-rank structure, including specific spectral invariants and refined connectivity measures.

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📝 Abstract
Courcelle's Theorem states that on graphs $G$ of tree-width at most $k$ with a given tree-decomposition of size $t(G)$, graph properties $mathcal{P}$ definable in Monadic Second Order Logic can be checked in linear time in the size of $t(G)$. Inspired by L. Lov'asz' work using connection matrices instead of logic, we give a generalized version of Courcelle's theorem which replaces the definability hypothesis by a purely combinatorial hypothesis using a generalization of connection matrices.
Problem

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

Generalize Courcelle's Theorem without logic
Replace logic with combinatorial methods
Use connection matrices for graph properties
Innovation

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

Replaces logic with combinatorial connection matrices
Generalizes Courcelle's theorem for tree-width
Uses connection matrices for graph properties
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Yuval Filmus
Yuval Filmus
Associate Professor, Technion
Theoretical Computer ScienceCombinatorics
J
J. Makowsky
Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel