pith. sign in

arxiv: 1809.06950 · v1 · pith:J4ZXOQTJnew · submitted 2018-09-18 · 🧮 math.CO · cs.DM· math.PR

Finding cliques using few probes

classification 🧮 math.CO cs.DMmath.PR
keywords cliquedeltagraphalphalikelyoutputprobesrandom
0
0 comments X
read the original abstract

Consider algorithms with unbounded computation time that probe the entries of the adjacency matrix of an $n$ vertex graph, and need to output a clique. We show that if the input graph is drawn at random from $G_{n,\frac{1}{2}}$ (and hence is likely to have a clique of size roughly $2\log n$), then for every $\delta < 2$ and constant $\ell$, there is an $\alpha < 2$ (that may depend on $\delta$ and $\ell$) such that no algorithm that makes $n^{\delta}$ probes in $\ell$ rounds is likely (over the choice of the random graph) to output a clique of size larger than $\alpha \log n$.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.