Lower Bounds for the Graph Homomorphism Problem
Fedor V. Fomin, Alexander Golovnev, Alexander S. Kulikov, and Ivan, Mihajlin

TL;DR
This paper establishes tight lower bounds for the graph homomorphism problem under ETH, showing that certain algorithms cannot be significantly improved and analyzing how properties of graphs G and H affect problem complexity.
Contribution
The paper proves new exponential lower bounds for HOM, relates problem complexity to graph properties like vertex cover and chromatic number, and rules out bounds based solely on chromatic number.
Findings
Lower bound $2^{ ilde{ ext{O}}(n rac{ ext{log} h}{ ext{log} ext{log} h})}$ under ETH.
Upper bound tightness shown via vertex cover parameterization.
Negative result on bounds based on chromatic number.
Abstract
The graph homomorphism problem (HOM) asks whether the vertices of a given -vertex graph can be mapped to the vertices of a given -vertex graph such that each edge of is mapped to an edge of . The problem generalizes the graph coloring problem and at the same time can be viewed as a special case of the -CSP problem. In this paper, we prove several lower bound for HOM under the Exponential Time Hypothesis (ETH) assumption. The main result is a lower bound . This rules out the existence of a single-exponential algorithm and shows that the trivial upper bound is almost asymptotically tight. We also investigate what properties of graphs and make it difficult to solve HOM. An easy observation is that an upper bound can be improved to ${\mathcal…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Optimization and Search Problems
