Optimal Square Detection Over General Alphabets

Abstract

Squares (fragments of the form xx, for some string x) are arguably the most natural type of repetition in strings. The basic algorithmic question concerning squares is to check if a given string of length n is square-free, that is, does not contain a fragment of such form. Main and Lorentz [J. Algorithms 1984] designed an O(n log n) time algorithm for this problem, and proved a matching lower bound assuming the so-called general alphabet, meaning that the algorithm is only allowed to check if two characters are equal. However, their lower bound also assumes that there are Ω(n) distinct symbols in the string. As an open question, they asked if there is a faster algorithm if one restricts the size of the alphabet. Crochemore [Theor. Comput. Sci. 1986] designed a linear-time algorithm for constant-size alphabets, and combined with more recent results his approach in fact implies such an algorithm for linearly-sortable alphabets. Very recently, Ellert and Fischer [ICALP 2021] significantly relaxed this assumption by designing a linear-time algorithm for general ordered alphabets, that is, assuming a linear order on the characters that permits constant time order comparisons. However, the open question of Main and Lorentz from 1984 remained unresolved for general (unordered) alphabets. In this paper, we show that testing square-freeness of a length-n string over general alphabet of size σ can be done with O(n log σ) comparisons, and cannot be done with o(n log σ) comparisons. We complement this result with an O(n log σ) time algorithm in the Word RAM model. Finally, we extend the algorithm to reporting all the runs (maximal repetitions) in the same complexity.

Computing palindromes and suffix trees of dynamic trees

“…This algorithm works for a general unordered alphabet. For the case where the input string is drawn from a linearly-sortable alphabet [10], such as an integer alphabet of size polynomial in n, there is an alternative suffix tree [11] based algorithm which takes O(n) time [12]. In this method, the suffix tree of T #T R $ is constructed, where T R is the reversed string of T , and # and $ are special characters not occurring in T .…”