Independence-Number Parameterized Space Complexity for Directed Connectivity Certificate
Ho-Lin Chen, Tsun Ming Cheung, Peng-Ting Lin, Meng-Tsung Tsai

TL;DR
This paper explores the space complexity of computing directed connectivity certificates in streaming models, revealing a parameterized complexity based on the independence number of the graph.
Contribution
It introduces a new framework and algorithms that relate the space complexity of directed connectivity problems to the graph's independence number, extending understanding of their hardness.
Findings
Provides algorithms with space complexity depending on independence number and passes.
Establishes lower bounds showing space requirements grow with independence number.
Introduces the gadget-embedding tournament framework for lower bounds.
Abstract
We study the space complexity of computing a sparse subgraph of a directed graph that certifies connectivity in the streaming and distributed models. Formally, for a directed graph and , a -node strong connectivity certificate is a subgraph such that for every pair of distinct nodes , the number of pairwise internally node-disjoint paths from to in is at least or the corresponding number in . In light of the inherent hardness of directed connectivity problems, several prior work focused on restricted graph classes, showing that several problems that are hard in general become efficiently solvable when the input graph is a tournament (i.e., a directed complete graph) (Chakrabarti et al. [SODA 2020]; Baweja, Jia, and Woddruff [ITCS 2022]), or close to a tournament in edit distance (Ghosh and Kuchlous [ESA…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Stochastic Gradient Optimization Techniques · Graph Theory and Algorithms
