Tight bounds for counting colorings and connected edge sets parameterized by cutwidth
Carla Groenland, Jesper Nederlof, Isja Mannens, Krisztina, Szil\'agyi

TL;DR
This paper establishes tight bounds for counting graph colorings and connected edge sets based on cutwidth, revealing complexity differences depending on algebraic properties, and employs advanced matrix rank techniques.
Contribution
It provides tight parameterized complexity bounds for counting colorings and edge sets with respect to cutwidth, using novel matrix rank methods and extending results to treewidth.
Findings
Algorithms match lower bounds under SETH assumptions.
Complexity varies depending on divisibility conditions of parameters.
Extends bounds to counting connected edge sets modulo p.
Abstract
We study the fine-grained complexity of counting the number of colorings and connected spanning edge sets parameterized by the cutwidth and treewidth of the graph. While decompositions of small treewidth decompose the graph with small vertex separators, decompositions with small cutwidth decompose the graph with small \emph{edge} separators. Let such that is a prime and . - If divides , there is a time algorithm for counting list -colorings modulo of -vertex graphs of cutwidth and for all there is no algorithm running in time , assuming the Strong Exponential Time Hypothesis (SETH). - If does not divide , there is a (folklore) time algorithm for counting list -colorings modulo of -vertex…
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