Multivariate Exploration of Metric Dilation
Aritra Banik, Fedor V. Fomin, Petr A. Golovach, Tanmay Inamdar,, Satyabrata Jana, Saket Saurabh

TL;DR
This paper investigates the computational complexity of transforming graphs to achieve a desired dilation factor by adding edges, revealing parameterized complexity results and hardness in various graph classes and parameters.
Contribution
It provides a detailed parameterized complexity analysis of the Dilation t-Augmentation problem, including FPT and W[1]-hardness results based on graph structure and parameters.
Findings
FPT for sparse graphs excluding certain bicliques when t ≤ 2
W[1]-hardness for t ≥ 3 even in forests of stars
FPT when parameterized by combined parameters k, t, and maximum degree Δ
Abstract
Let be a weighted graph embedded in a metric space . The vertices of correspond to the points in , with the weight of each edge being the distance between their respective points in . The dilation (or stretch) of is defined as the minimum factor such that, for any pair of vertices , the distance between and -represented by the weight of a shortest , -path is at most . We study Dilation t-Augmentation, where the objective is, given a metric , a graph , and numerical values and , to determine whether can be transformed into a graph with dilation by adding at most edges. Our primary focus is on the scenario where the metric is the shortest path metric of an unweighted graph . Even in this specific case, Dilation -Augmentation remains computationally…
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