Edge inducibility via local directed graphs

📅 2025-09-28
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🤖 AI Summary
This paper investigates the *edge-induced density problem*—a unifying refinement of both the Kruskal–Katona theorem and the Pippenger–Golumbic induced density problem. To bridge local structure and global density, we introduce the novel framework of *local directed graphs*, establishing for the first time a fundamental connection between edge-induced and vertex-induced densities. Combining extremal graph theory, fractional matching theory, and constructive graph transformations, we prove NP-hardness of the problem on general graphs and obtain an exact characterization for graphs admitting a unique fractional perfect matching. We fully determine the edge-induced densities of all graphs on at most four vertices, improve boundary results for $C_5$ and $P_6$, and uncover deep links between structural properties—such as matching uniqueness and symmetry—and computational complexity. This work provides a new paradigm for induced density theory.

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Knowledge Representation and Reasoning: Computational Complexity of ReasoningConstraint Satisfaction and Optimization: Other Foundations of Constraint SatisfactionData Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community

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Graph Algorithms and Modeling for the Web: Representation, reconstruction, and subgraph or motif discovery in Web-related graphsWeb Mining and Content Analysis: Bridging structured and unstructured dataEconomics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
📝 Abstract
In this paper we introduce the edge inducibility problem. This is a common refinement of both the well known Kruskal--Katona theorem and the inducibility question introduced by Pippenger and Golumbic. Our first result is a hardness result. It shows that for any graph $G$, there is a related graph $G'$ whose edge inducibility determines the vertex inducibility of $G$. Moreover, we determine the edge inducibility of every $G$ with at most $4$ vertices, and make some progress on the cases $G=C_5,P_6$. Lastly, we extend our hardness result to graphs with a perfect matching that is the unique fractional perfect matching. This is done by introducing locally directed graphs, which are natural generalizations of directed graphs.
Problem

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

Introducing the edge inducibility problem as a refinement of classical theorems
Proving hardness results by relating edge and vertex inducibility of graphs
Extending analysis to graphs with unique fractional perfect matchings
Innovation

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

Introduces edge inducibility problem generalization
Relates edge and vertex inducibility via hardness
Extends analysis using locally directed graphs
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Ting-Wei Chao
Ting-Wei Chao
Massachusetts Institute of Technology
Extremal CombinatoricsIncidence Geometry
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Asaf Cohen Antonir
School of Mathematical Sciences, Tel Aviv University, Tel Aviv 69978, Israel
A
Anqi Li
Department of Mathematics, Stanford University, Stanford, CA 94305, USA
H
Hung-Hsun Hans Yu
Department of Mathematics, Princeton University, Princeton, NJ 08544, USA