51,026 research outputs found

    Abelian maximal pattern complexity of words

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    In this paper we study the maximal pattern complexity of infinite words up to Abelian equivalence. We compute a lower bound for the Abelian maximal pattern complexity of infinite words which are both recurrent and aperiodic by projection. We show that in the case of binary words, the bound is actually achieved and gives a characterization of recurrent aperiodic words

    Ten Conferences WORDS: Open Problems and Conjectures

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    In connection to the development of the field of Combinatorics on Words, we present a list of open problems and conjectures that were stated during the ten last meetings WORDS. We wish to continually update the present document by adding informations concerning advances in problems solving

    Cyclic Complexity of Words

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    We introduce and study a complexity function on words cx(n),c_x(n), called \emph{cyclic complexity}, which counts the number of conjugacy classes of factors of length nn of an infinite word x.x. We extend the well-known Morse-Hedlund theorem to the setting of cyclic complexity by showing that a word is ultimately periodic if and only if it has bounded cyclic complexity. Unlike most complexity functions, cyclic complexity distinguishes between Sturmian words of different slopes. We prove that if xx is a Sturmian word and yy is a word having the same cyclic complexity of x,x, then up to renaming letters, xx and yy have the same set of factors. In particular, yy is also Sturmian of slope equal to that of x.x. Since cx(n)=1c_x(n)=1 for some n1n\geq 1 implies xx is periodic, it is natural to consider the quantity lim infncx(n).\liminf_{n\rightarrow \infty} c_x(n). We show that if xx is a Sturmian word, then lim infncx(n)=2.\liminf_{n\rightarrow \infty} c_x(n)=2. We prove however that this is not a characterization of Sturmian words by exhibiting a restricted class of Toeplitz words, including the period-doubling word, which also verify this same condition on the limit infimum. In contrast we show that, for the Thue-Morse word tt, lim infnct(n)=+.\liminf_{n\rightarrow \infty} c_t(n)=+\infty.Comment: To appear in Journal of Combinatorial Theory, Series

    Most Complex Non-Returning Regular Languages

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    A regular language LL is non-returning if in the minimal deterministic finite automaton accepting it there are no transitions into the initial state. Eom, Han and Jir\'askov\'a derived upper bounds on the state complexity of boolean operations and Kleene star, and proved that these bounds are tight using two different binary witnesses. They derived upper bounds for concatenation and reversal using three different ternary witnesses. These five witnesses use a total of six different transformations. We show that for each n4n\ge 4 there exists a ternary witness of state complexity nn that meets the bound for reversal and that at least three letters are needed to meet this bound. Moreover, the restrictions of this witness to binary alphabets meet the bounds for product, star, and boolean operations. We also derive tight upper bounds on the state complexity of binary operations that take arguments with different alphabets. We prove that the maximal syntactic semigroup of a non-returning language has (n1)n(n-1)^n elements and requires at least (n2)\binom{n}{2} generators. We find the maximal state complexities of atoms of non-returning languages. Finally, we show that there exists a most complex non-returning language that meets the bounds for all these complexity measures.Comment: 22 pages, 6 figure

    Minimal complexity of equidistributed infinite permutations

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    An infinite permutation is a linear ordering of the set of natural numbers. An infinite permutation can be defined by a sequence of real numbers where only the order of elements is taken into account. In the paper we investigate a new class of {\it equidistributed} infinite permutations, that is, infinite permutations which can be defined by equidistributed sequences. Similarly to infinite words, a complexity p(n)p(n) of an infinite permutation is defined as a function counting the number of its subpermutations of length nn. For infinite words, a classical result of Morse and Hedlund, 1938, states that if the complexity of an infinite word satisfies p(n)np(n) \leq n for some nn, then the word is ultimately periodic. Hence minimal complexity of aperiodic words is equal to n+1n+1, and words with such complexity are called Sturmian. For infinite permutations this does not hold: There exist aperiodic permutations with complexity functions growing arbitrarily slowly, and hence there are no permutations of minimal complexity. We show that, unlike for permutations in general, the minimal complexity of an equidistributed permutation α\alpha is pα(n)=np_{\alpha}(n)=n. The class of equidistributed permutations of minimal complexity coincides with the class of so-called Sturmian permutations, directly related to Sturmian words.Comment: An old (weaker) version of the paper was presented at DLT 2015. The current version is submitted to a journa

    Unrestricted State Complexity of Binary Operations on Regular and Ideal Languages

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    We study the state complexity of binary operations on regular languages over different alphabets. It is known that if LmL'_m and LnL_n are languages of state complexities mm and nn, respectively, and restricted to the same alphabet, the state complexity of any binary boolean operation on LmL'_m and LnL_n is mnmn, and that of product (concatenation) is m2n2n1m 2^n - 2^{n-1}. In contrast to this, we show that if LmL'_m and LnL_n are over different alphabets, the state complexity of union and symmetric difference is (m+1)(n+1)(m+1)(n+1), that of difference is mn+mmn+m, that of intersection is mnmn, and that of product is m2n+2n1m2^n+2^{n-1}. We also study unrestricted complexity of binary operations in the classes of regular right, left, and two-sided ideals, and derive tight upper bounds. The bounds for product of the unrestricted cases (with the bounds for the restricted cases in parentheses) are as follows: right ideals m+2n2+2n1m+2^{n-2}+2^{n-1} (m+2n2m+2^{n-2}); left ideals mn+m+nmn+m+n (m+n1m+n-1); two-sided ideals m+2nm+2n (m+n1m+n-1). The state complexities of boolean operations on all three types of ideals are the same as those of arbitrary regular languages, whereas that is not the case if the alphabets of the arguments are the same. Finally, we update the known results about most complex regular, right-ideal, left-ideal, and two-sided-ideal languages to include the unrestricted cases.Comment: 30 pages, 15 figures. This paper is a revised and expanded version of the DCFS 2016 conference paper, also posted previously as arXiv:1602.01387v3. The expanded version has appeared in J. Autom. Lang. Comb. 22 (1-3), 29-59, 2017, the issue of selected papers from DCFS 2016. This version corrects the proof of distinguishability of states in the difference operation on p. 12 in arXiv:1609.04439v
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