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Succinct Representations of Permutations and Functions

2011/08/09 by Munro, J. Ian, Raman, Rajeev, Raman, Venkatesh +1 · 2 citations
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.1108.1983

Abstract

We investigate the problem of succinctly representing an arbitrary permutation, π, on 0,...,n-1 so that πk(i) can be computed quickly for any i and any (positive or negative) integer power k. A representation taking (1+ε) n lg n + O(1) bits suffices to compute arbitrary powers in constant time, for any positive constant ε<= 1. A representation taking the optimal \ceil\lg n! + o(n) bits can be used to compute arbitrary powers in O(lg n / lg lg n) time. We then consider the more general problem of succinctly representing an arbitrary function, f: [n] → [n] so that fk(i) can be computed quickly for any i and any integer power k. We give a representation that takes (1+ε) n lg n + O(1) bits, for any positive constant ε<= 1, and computes arbitrary positive powers in constant time. It can also be used to compute fk(i), for any negative integer k, in optimal O(1+|fk(i)|) time. We place emphasis on the redundancy, or the space beyond the information-theoretic lower bound that the data structure uses in order to support operations efficiently. A number of lower bounds have recently been shown on the redundancy of data structures. These lower bounds confirm the space-time optimality of some of our solutions. Furthermore, the redundancy of one of our structures "surpasses" a recent lower bound by Golynski [Golynski, SODA 2009], thus demonstrating the limitations of this lower bound.

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