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Independent Sets of Random Trees and Sparse Random Graphs
Author(s) -
Heilman Steven
Publication year - 2025
Publication title -
journal of graph theory
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.164
H-Index - 54
eISSN - 1097-0118
pISSN - 0364-9024
DOI - 10.1002/jgt.23225
Subject(s) - mathematics , random graph , combinatorics , random regular graph , discrete mathematics , chordal graph , graph , 1 planar graph
ABSTRACT An independent set of sizekin a finite undirected graphGis a set ofkvertices of the graph, no two of which are connected by an edge. Letx k ( G )be the number of independent sets of sizekin the graphGand letα ( G ) = max { k ≥ 0 : x k ( G ) ≠ 0 }. In 1987, Alavi, Malde, Schwenk, and Erdős asked if the independent set sequencex 0 ( G ) , x 1 ( G ) , … , x α ( G )( G )of a tree is unimodal (the sequence goes up and then down). This problem is still open. In 2006, Levit and Mandrescu showed that the last third of the independent set sequence of a tree is decreasing. We show that the first 46.8% of the independent set sequence of a random tree is increasing with (exponentially) high probability as the number of vertices goes to infinity. So, the question of Alavi, Malde, Schwenk, and Erdős is “four‐fifths true,” with high probability. We also show unimodality of the independent set sequence of Erdős–Rényi random graphs, when the expected degree of a single vertex is large (with [exponentially] high probability as the number of vertices in the graph goes to infinity, except for a small region near the mode). A weaker result is shown for random regular graphs. The structure of independent sets of sizekaskvaries is of interest in probability, statistical physics, combinatorics, and computer science.

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