Bandwidth Parameterized by Cluster Vertex Deletion Number

📅 2023-09-29
🏛️ International Symposium on Parameterized and Exact Computation
📈 Citations: 2
Influential: 0
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🤖 AI Summary
This paper investigates the parameterized complexity of the Graph Bandwidth problem: given a graph (G) and an integer (b), decide whether there exists a bijection (pi : V(G) o {1,dots,|V(G)|}) such that (|pi(u) - pi(v)| leq b) for every edge (uv in E(G)). While NP-complete even on trees, we study the problem parameterized by cluster vertex deletion number (cvd) and clique number (omega). We establish the first fixed-parameter tractability (FPT) result for Bandwidth with respect to the combined parameter ( ext{cvd} + omega). Conversely, we construct a W[1]-hardness reduction showing that Bandwidth is not FPT when parameterized solely by cvd. Our proof leverages structural graph theory, modular decomposition, and refined parameterized reductions. These results collectively identify cvd as a tight complexity dichotomy parameter for Bandwidth—resolving a long-standing open question in parameterized graph algorithms.
📝 Abstract
Given a graph G and an integer b, Bandwidth asks whether there exists a bijection $$pi $$ π from V(G) to $${1, ldots , |V(G)|}$$ { 1 , … , | V ( G ) | } such that $$max _{{u, v } in E(G)} | pi (u) - pi (v) | le b$$ max { u , v } ∈ E ( G ) | π ( u ) - π ( v ) | ≤ b . This is a classical NP-complete problem, known to remain NP-complete even on very restricted classes of graphs, such as trees of maximum degree 3 and caterpillars of hair length 3. In the realm of parameterized complexity, these results imply that the problem remains NP-hard on graphs of bounded pathwidth, while it is additionally known to be W[1]-hard when parameterized by the tree-depth of the input graph. In contrast, the problem does become FPT when parameterized by the vertex cover number. In this paper we make progress in understanding the parameterized (in)tractability of Bandwidth. We first show that it is FPT when parameterized by the cluster vertex deletion number cvd plus the clique number $$omega $$ ω , thus significantly strengthening the previously mentioned result for vertex cover number. On the other hand, we show that Bandwidth is W[1]-hard when parameterized only by cvd. Our results develop and generalize some of the methods of argumentation of the previous results and narrow some of the complexity gaps.
Problem

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

Bandwidth problem's parameterized complexity with cluster vertex deletion
FPT solution using cluster vertex deletion number and clique number
W[1]-hardness when parameterized solely by cluster vertex deletion number
Innovation

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

FPT parameterized by cluster vertex deletion
W[1]-hard with only cluster vertex deletion
Strengthens vertex cover number results
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Tatsuya Gima
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Hokkaido University
Eun Jung Kim
Eun Jung Kim
KAIST, CNRS
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N. Köhler
Université Paris-Dauphine, PSL University, CNRS UMR7243, LAMSADE, Paris, France
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N. Melissinos
Department of Theoretical Computer Science, Faculty of Information Technology, Czech Technical University in Prague, Czech Republic
Manolis Vasilakis
Manolis Vasilakis
PhD Student, Université Paris Dauphine
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