The random hash tree and the N-tree were introduced by Ehrlich in 1981. In
the random hash tree, n data points are hashed to values X-1,..., X-n; inde
pendently and identically distributed random variables taking values that a
re uniformly distributed on [0, 1]. Place the X-i's in n equal-sized bucket
s as in hashing with chaining. For each bucket with at least two points, re
peat the same process, keeping the branch factor always equal to the number
of bucketed points. If H-n is the height of tree obtained in this manner,
we show that H-n\ log(2) n --> 1 in probability. In the random pebbled hash
tree, we remove one point randomly and place it in the present node (as wi
th the digital search tree modification of a trie) and perform the bucketin
g step as above on the remaining points (if any). With this simple modifica
tion,
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in probability. We also show that the expected number of nodes in the rando
m hash tree and random pebbled hash tree is asymptotic to 2.3020238 ... n a
nd 1.4183342 ... n, respectively.