Parameterized Lower Bounds for Problems in P via Fine-Grained Cross-Compositions
Abstract
We provide a general framework to exclude parameterized running times of the form for problems that have polynomial running time lower bounds under hypotheses from fine-grained complexity. Our framework is based on cross-compositions from parameterized complexity. We (conditionally) exclude running times of the form for any and for the following problems: - Longest Common Subsequence: Given two length- strings and , is there a common subsequence of length ? - Discrete Fr\'echet Distance: Given two lists of points each and , is the Fr\'echet distance of the lists at most ? Here is the maximum number of points which one list is ahead of the other list in an optimum traversal. Moreover, we exclude running times for any and for: - Negative Triangle: Given an edge-weighted graph with vertices, is there a triangle whose sum of edge-weights is negative? Here is the order of a maximum connected component. - Triangle Collection: Given a vertex-colored graph with vertices, is there for each triple of colors a triangle whose vertices have these three colors? Here is the order of a maximum connected component. - 2nd Shortest Path: Given an -vertex edge-weighted directed graph, two vertices and , and , has the second longest --path length at most ? Here is the directed feedback vertex set. Except for 2nd Shortest Path all these running time bounds are tight, that is, algorithms with running time for any and for any , respectively, are known.
Cite
@article{arxiv.2301.00797,
title = {Parameterized Lower Bounds for Problems in P via Fine-Grained Cross-Compositions},
author = {Klaus Heeger and André Nichterlein and Rolf Niedermeier},
journal= {arXiv preprint arXiv:2301.00797},
year = {2023}
}