English

Maxwell-independence: a new rank estimate for 3D rigidity matroids

Computational Geometry 2015-03-17 v8

Abstract

The problem of combinatorially determining the rank of the 3-dimensional bar-joint {\em rigidity matroid} of a graph is an important open problem in combinatorial rigidity theory. Maxwell's condition states that the edges of a graph G=(V,E)G=(V, E) are {\em independent} in its dd-dimensional generic rigidity matroid only if (a)(a) the number of edges E|E| \le dV(d+12)d|V| - {d+1\choose 2}, and (b)(b) this holds for every induced subgraph with at least dd vertices. We call such graphs {\em Maxwell-independent} in dd dimensions. Laman's theorem shows that the converse holds for d=2d=2 and thus every maximal Maxwell-independent set of GG has size equal to the rank of the 2-dimensional generic rigidity matroid. While this is false for d=3d=3, we show that every maximal, Maxwell-independent set of a graph GG has size at least the rank of the 3-dimensional generic rigidity matroid of GG. This answers a question posed by Tib\'or Jord\'an at the 2008 rigidity workshop at BIRS \cite{bib:birs}. Along the way, we construct subgraphs (1) that yield alternative formulae for a rank upper bound for Maxwell-independent graphs and (2) that contain a maximal (true) independent set. We extend this bound to special classes of non-Maxwell-independent graphs. One further consequence is a simpler proof of correctness for existing algorithms that give rank bounds.

Keywords

Cite

@article{arxiv.1010.4052,
  title  = {Maxwell-independence: a new rank estimate for 3D rigidity matroids},
  author = {Jialong Cheng and Meera Sitharam},
  journal= {arXiv preprint arXiv:1010.4052},
  year   = {2015}
}
R2 v1 2026-06-21T16:31:09.833Z