Tree Projections and Structural Decomposition Methods: Minimality and Game-Theoretic Characterization
Gianluigi Greco, Francesco Scarcello

TL;DR
This paper studies minimal tree projections in structural decomposition methods, showing their properties, connection to game-theoretic characterizations, and implications for algorithms in hypergraph analysis.
Contribution
It introduces a detailed analysis of minimal tree projections, establishes their properties, and provides a game-theoretic characterization for hypertree decompositions.
Findings
Minimal tree projections have properties similar to normal form decompositions.
The Captain and Robber game characterizes tree projections and hypertree decompositions.
Existence of winning strategies in the game implies monotone strategies, aiding algorithm design.
Abstract
Tree projections provide a mathematical framework that encompasses all the various (purely) structural decomposition methods that have been proposed in the literature to single out classes of nearly-acyclic (hyper)graphs, such as the tree decomposition method, which is the most powerful decomposition method on graphs, and the (generalized) hypertree decomposition method, which is its natural counterpart on arbitrary hypergraphs. The paper analyzes this framework, by focusing in particular on "minimal" tree projections, that is, on tree projections without useless redundancies. First, it is shown that minimal tree projections enjoy a number of properties that are usually required for normal form decompositions in various structural decomposition methods. In particular, they enjoy the same kind of connection properties as (minimal) tree decompositions of graphs, with the result being…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Protein Degradation and Inhibitors
