The average amount of information lost in multiplication

Mathematics – Probability

Scientific paper

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i+11 pp

Scientific paper

We show that if X and Y are integers independently and uniformly distributed in the set {1, ..., N}, then the information lost in forming their product (which is given by the equivocation H(X,Y | XY)), is of order log log N. We also prove two extremal results regarding cases in which X and Y are not necessarily independently or uniformly distributed. First, we note that the information lost in multiplication can of course be 0. We show that the condition H(X,Y | XY) = 0 implies that 2log_2 N - H(X, Y) is of order at least log log N. Furthermore, if X and Y are independent and uniformly distributed on disjoint sets of primes, it is possible to have H(X,Y | XY) = 0 with log_2 N - H(X) and log_2 N - H(Y) each of order at most log log N. Second, we show that however X and Y are distributed, H(X,Y | XY) is of order at most log N/log log N. Furthermore, there are distributions (in which X and Y are independent and uniformly distributed over sets of numbers having only small and distinct prime factors) for which H(X,Y | XY) is of order log log N.

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