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Finding cliques using few probes
- Source :
- arXiv
- Publication Year :
- 2018
- Publisher :
- arXiv, 2018.
-
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 $\alpha \log n$.<br />Comment: 15 pages
- Subjects :
- Random graph
FOS: Computer and information sciences
Discrete Mathematics (cs.DM)
Applied Mathematics
General Mathematics
Computation
Probability (math.PR)
0102 computer and information sciences
Clique (graph theory)
01 natural sciences
Computer Graphics and Computer-Aided Design
Combinatorics
010201 computation theory & mathematics
FOS: Mathematics
Mathematics - Combinatorics
Graph (abstract data type)
Adjacency matrix
Combinatorics (math.CO)
Constant (mathematics)
Mathematics - Probability
Software
Computer Science - Discrete Mathematics
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- arXiv
- Accession number :
- edsair.doi.dedup.....18b2e1e15fb6888a0989339772b537bf
- Full Text :
- https://doi.org/10.48550/arxiv.1809.06950