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An improved graph-entropy bound for perfect hashing

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An Improved Graph-Entropy

Bound

for Perfect Hashing *

E rd al Arikan

Electrical Engineering D ep a rtme n t , Bilkent University, 06533 A n k ar a, T u rk ey

A b s tr ac t

We give an improved graph-entropy bound on the size of families of perfect bash functions. Examples are given illustrating that the new bound improves previous bounds in several instances.

Perfect hashing is a method of information storage and re- trieval [l]. It is also equivalent to certain zero-error list-coding problems of information theory [4]. Following [3], call a set of sequences of length t over a bletter alphabet k-sepamtedif for every k-tuple of sequences there exists a coordinate in which they all differ. Let N(t, b, k) denote the largest possible size for such a set of sequences. Perfect-hashing is the problem of finding such maximal sets. Here, we give an upper bound on the asymptotic quantity (the capacity)

1

c b , k := h n SUP -log N ( f , 1, k)

(-00 t

(Logarithms are t o base 2.) This bound extends earlier results given in [5] and is based on a refinement of the graph-entropy bound [2]-[4].

Kiimer and Marton [3] show that

where S = b(6 - 1) t . . ( 6

-

a

+

1 ) . We give here the bound

c b , k

5

sup{z : z

5 a,(z),

j = 2 , . . .

,

k

-

2 ) (2) where for j = 2,

...,

6 - k and a J ( z ) = ( l - ~ ( l - 2 - = ) ) ( l - - ) - l o g - z Y 6 - j b - k + l logb bJ k - 1 - j for j = b

-

k

+

1,. . .

,

k

-

2.

T h e following table lists the values of the new bound (2) and the Kiirner-Marton bound (1). T h e integers in parentheses

indicate the values of j which optimize the corresponding bounds. T h e table demonstrates t h at the new bound improves the earlier graph-entropy bound in many instances. To our knowledge, t h e values in the table c o n s k u t e the

able bounds on c b . k . 7 100 New Bound 0.3511 (2) 0.6114 (2) 0.2359 ( 3 ) 0.8390 ( 2 ) 0.4414 (3) 0.1548 (4) 1.029 ( 2 ) 0.6204 (3) 0.3055 (4) 0.0974 (5) 3.6184 (2) 2.830 ( 2 )

K M

Bound 0.3750 (2) 0.7370 (0) 0.1920 (3) 1.0000 (0) 0.4402 (3) 0.0925 (4) 1.2223 (0) 0.6997 (3) 0.2376 ( 4 ) 0.0428 (5) 4.3219 (0) 3.3219 (0) best avail-

References

[I]

M.

Fredman and J. Komks, ‘On the size of separating systems and perfect hash functions,’ SIAM J . Algebraic and Discrete Methods, vol. 5, no. 1, pp. 61-68, 1984. [2] .I.Kiirner, ‘Fredman-Koml6s bounds and information

theory,’ SIAM J . Algebraic and Discrete Methods, vol. 7, no. 4 , pp. 560-570, Oct. 1986.

[3] J. Kiirner and K. Marton, ‘New bounds for perfect hash- ing via information theory,’ Europ. J . Combinatorics, vol. 9, pp. 523-530, 1988.

[4] J . Kiirner and K. Marton, ‘On the capacity of uniform hypergraphs,’ IEEE Trans. Inform. Theory, vol. IT-36, No.1, pp. 153-156, Jan. 1990.

[5] E. Arikan, ‘An upper bound on the zereerror list-coding capacity,’ Proceedings of 1993 I E E E Int. Symp. Inform. Theory, p. 152, San Antonio, USA, Jan 17-22, 1993.

.Thm research was aupported by TUBiTAK under project TBAG 1053.

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