English

Geometric representation of graphs in low dimension

Discrete Mathematics 2007-07-31 v2 Data Structures and Algorithms

Abstract

We give an efficient randomized algorithm to construct a box representation of any graph G on n vertices in 1.5(Δ+2)lnn1.5 (\Delta + 2) \ln n dimensions, where Δ\Delta is the maximum degree of G. We also show that \boxi(G)(Δ+2)lnn\boxi(G) \le (\Delta + 2) \ln n for any graph G. Our bound is tight up to a factor of lnn\ln n. We also show that our randomized algorithm can be derandomized to get a polynomial time deterministic algorithm. Though our general upper bound is in terms of maximum degree Δ\Delta, we show that for almost all graphs on n vertices, its boxicity is upper bound by c(dav+1)lnnc\cdot(d_{av} + 1) \ln n where d_{av} is the average degree and c is a small constant. Also, we show that for any graph G, \boxi(G)8ndavlnn\boxi(G) \le \sqrt{8 n d_{av} \ln n}, which is tight up to a factor of blnnb \sqrt{\ln n} for a constant b.

Keywords

Cite

@article{arxiv.cs/0605013,
  title  = {Geometric representation of graphs in low dimension},
  author = {L. Sunil Chandran and Mathew C Francis and Naveen Sivadasan},
  journal= {arXiv preprint arXiv:cs/0605013},
  year   = {2007}
}

Comments

preliminary version appeared in Cocoon 2006

R2 v1 2026-07-22T12:25:37.385Z