We consider four families of forests on n vertices: labeled and unlabeled forests containing rooted and unrooted trees, respectively. A forest is chosen uniformly from one of the given four families. The limiting distribution of the size of its largest tree is then studied as n ยช ฯฑ. Convergences to
The largest induced tree in a sparse random graph
โ Scribed by W. Fernandez de la Vega
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 192 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1042-9832
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โฆ Synopsis
The author proved that, for c > 1, the random graph G(n, p ) on n vertices with edge probability p = c / n contains almost always an induced tree on at least q n ( 1 -o( 1)) vertices, where L Y ~ is the positive root of the equation CLY = log( 1 + c'a). It is shown here that if c is sufficiently large, then the largest size of an induced tree in G(n, p ) , p = c / n , is almost always at least +(log c -log log c -1). The proof relies heavily on a theorem of Frieze concerning the independence number of a sparse random graph. 0 1996 John Wiley & Sons. Inc.
The author proved in 1986 (see [2]) the following theorem.
Theorem 1. For c > 1 the random graph G(n, p ) on n vertices and with edge probability p = cln, contains almost always an induced tree on at least a,.n(lo( 1)) vertices, where ac is the positive root of the equation ca = log( 1 + c2a).
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