Constant-Time Algorithms for Sparsity Matroids
Hiro Ito, Shin-ichi Tanigawa, Yuichi Yoshida

TL;DR
This paper presents constant-time approximation algorithms for the rank of sparsity matroids in degree-bounded graphs, enabling efficient property testing for various graph properties such as connectivity and rigidity.
Contribution
It introduces the first constant-time algorithms for approximating the rank of sparsity matroids and testing related properties in bounded-degree graphs.
Findings
Constant-time approximation algorithm for the rank of sparsity matroids.
Constant-time property testers for $(k,\, extell)$-fullness and $(k,\, extell)$-edge-connected-orientability.
Lower bounds showing $ ext{Ω}(n)$ queries are necessary for one-sided error testers.
Abstract
A graph is called -full if contains a subgraph of edges such that, for any non-empty , holds. Here, denotes the set of vertices incident to . It is known that the family of edge sets of -full graphs forms a family of matroid, known as the sparsity matroid of . In this paper, we give a constant-time approximation algorithm for the rank of the sparsity matroid of a degree-bounded undirected graph. This leads to a constant-time tester for -fullness in the bounded-degree model, (i.e., we can decide with high probability whether an input graph satisfies a property or far from ). Depending on the values of and , it can test various properties of a graph such as connectivity, rigidity, and how many spanning trees can be packed. Based on this result, we…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Computational Geometry and Mesh Generation
