More Structural Characterizations of Some Subregular Language Families by Biautomata

We study structural restrictions on biautomata such as, e.g., acyclicity, permutation-freeness, strongly permutation-freeness, and orderability, to mention a few. We compare the obtained language families with those induced by deterministic finite automata with the same property. In some cases, it is shown that there is no difference in characterization between deterministic finite automata and biautomata as for the permutation-freeness, but there are also other cases, where it makes a big difference whether one considers deterministic finite automata or biautomata. This is, for instance, the case when comparing strongly permutation-freeness, which results in the family of definite language for deterministic finite automata, while biautomata induce the family of finite and co-finite languages. The obtained results nicely fall into the known landscape on classical language families.Comment: In Proceedings AFL 2014, arXiv:1405.527

On Varieties of Automata Enriched with an Algebraic Structure (Extended Abstract)

Eilenberg correspondence, based on the concept of syntactic monoids, relates varieties of regular languages with pseudovarieties of finite monoids. Various modifications of this correspondence related more general classes of regular languages with classes of more complex algebraic objects. Such generalized varieties also have natural counterparts formed by classes of finite automata equipped with a certain additional algebraic structure. In this survey, we overview several variants of such varieties of enriched automata.Comment: In Proceedings AFL 2014, arXiv:1405.527

On Varieties of Ordered Automata

The Eilenberg correspondence relates varieties of regular languages to pseudovarieties of finite monoids. Various modifications of this correspondence have been found with more general classes of regular languages on one hand and classes of more complex algebraic structures on the other hand. It is also possible to consider classes of automata instead of algebraic structures as a natural counterpart of classes of languages. Here we deal with the correspondence relating positive $\mathcal C$-varieties of languages to positive $\mathcal C$-varieties of ordered automata and we present various specific instances of this correspondence. These bring certain well-known results from a new perspective and also some new observations. Moreover, complexity aspects of the membership problem are discussed both in the particular examples and in a general setting

Biautomata

Práce se zabývá konečnými automaty a jejich schopností popisovat zajímavé třídy regulárních jazyků. Nejdříve je zavedena základní terminologie konečných automatů a formulovány jejich základní vlastnosti. Poté je pozornost věnována možnosti konečný automat rozšířit na dvoustranný automat přidáním zpětné přechodové funkce a zkoumání vlastností takto rozšířeného automatu. Důraz je kladen především na srovnání obdobných vlastností dvoustranných a konečných automatů. V druhé části práce je užitečnost nabytých poznatků demonstrována v podobě jednoduššího důkazu slavné Simonovy věty charakterizující po částech testovatelné jazyky. Tento důkaz je lehce modifikovaným výsledkem O. Klímy a L. Poláka. Powered by TCPDF (www.tcpdf.org)This paper is focused on finite automata and their ability to recognize certain significant classes of regular languages. First of all we define core terms of the theory of finite automata, then we proceed to provide an overview of their properties. Thereafter we focus on extending finite automata into biautomata by equipping them by an extra "backwards" transformation function and on examining properties of such structures. While doing so we especially focus on comparing similar properties of automata and biautomata. In the second part of this paper we demonstrate the utility of biautomata by providing an improved proof of famous Simon's theorem, which characterizes piecewise testable languages. This proof is a slightly modified version of the result of O. Klíma a L. Polák. Powered by TCPDF (www.tcpdf.org)Department of AlgebraKatedra algebryMatematicko-fyzikální fakultaFaculty of Mathematics and Physic

On shuffle products, acyclic automata and piecewise-testable languages

We show that the shuffle L \unicode{x29E2} F of a piecewise-testable language $L$ and a finite language $F$ is piecewise-testable. The proof relies on a classic but little-used automata-theoretic characterization of piecewise-testable languages. We also discuss some mild generalizations of the main result, and provide bounds on the piecewise complexity of L \unicode{x29E2} F

Эффективные алгоритмы проверки эквивалентности для некоторых классов автоматов

Finite transducers, two-tape automata, and biautomata are related computational models descended from the concept of Finite-State Automaton. In these models an automaton controls two heads that read or write symbols on the tapes in the one-way mode. The computations of these three types of automata show many common features, and it is surprising that the methods for analyzing the behavior of automata developed for one of these models do not find suitable utilization in other models. The goal of this paper is to develop a uniform technique for building polynomial-time equivalence checking algorithms for some classes of automata (finite transducers, two-tape automata, biautomata, single-state pushdown automata) which exhibit certain features of the deterministic or unambiguous behavior. This new technique reduces the equivalence checking of automata to solvability checking of certain systems of equations over the semirings of languages or transductions. It turns out that such a checking can be performed by the variable elimination technique which relies on some combinatorial and algebraic properties of prefix-free regular languages. The main results obtained in this paper are as follows:1.            Using the algebraic approach a new algorithm for checking the equivalence of states of deterministic finite automata is constructed; time complexity of this algorithm is O(n log n).2.            A new class of prefix-free finite transducers is distinguished and it is shown that the developed algebraic approach provides the equivalence checking of transducers from this class in quadratic time (for real-time prefix-free transducers) and cubic (for prefix-free transducers with ɛ-transitions) relative to the sizes of analysed machines.3.            It is shown that the equivalence problem for deterministic two-tape finite automata can be reduced to the same problem for prefix-free finite transducers and solved in cubic time relative to the size of the analysed machines.4.            In the same way it is proved that the equivalence problem for deterministic finite biautomata can be solved in cubic time relative to the sizes of analysed machines.5.            By means of the developed approach an efficient equivalence checking algorithm for the class of simple grammars corresponding to deterministic single-state pushdown automata is constructed.Конечные преобразователи, двухленточные автоматы и биавтоматы — взаимосвязанные вычислительные модели, ведущие свое происхождение от концепции конечного автомата. В вычислениях этих машин проявляется много общих черт, и удивительно, что методы анализа, разработанные для одной из указанных моделей, не находят подходящего применения в других моделях. Целью данной статьи является разработка единой методики построения быстрых алгоритмов проверки эквивалентности для некоторых классов автоматов (конечных преобразователей, двухленточных автоматов, биавтоматов, магазинных автоматов), которые демонстрируют определенные черты детерминированного или однозначное поведение. Этот новый метод сводит проверку эквивалентности автоматов к проверке разрешимости систем уравнений над полукольцами языков или бинарных отношений. Как оказалось, такую проверку достаточно просто провести методом исключения переменных, используя некоторые комбинаторные и алгебраические свойства регулярных префиксных языков. Основные результаты, полученные в этой статье, таковы.1.            При помощи алгебраического метода построен новый алгоритм проверки эквивалентности детерминированных конечных автоматов, имеющий сложность по времени O(n log n).2.            Выделен новый класс префиксных конечных трансдьюсеров и показано, что проверка эквивалентности трансдьюсеров из этого класса может быть осуществлена новым методом за время, квадратичное (для префиксных трансдьюсеров реального времени) и кубическое (для префиксных трансдьюсеров с ɛ-переходами) относительно размеров анализируемых автоматов.3.            Показано, что проблема эквивалентности для детерминированных двухленточных конечных автоматов сводится к задаче проверки эквивалентности префиксных конечных трансдьюсеров и может быть решена за время, кубическое относительно их размеров.4.            Аналогичным образом установлена разрешимость проблемы эквивалентности для детерминированных конечных биавтоматов за время, кубическое относительно их размеров.5.            При помощи нового метода построен алгоритм проверки эквивалентности для простых грамматик, соответствующих детерминированным магазинным автоматам с одним состоянием

Syntactic Complexity of R- and J-Trivial Regular Languages

The syntactic complexity of a regular language is the cardinality of its syntactic semigroup. The syntactic complexity of a subclass of the class of regular languages is the maximal syntactic complexity of languages in that class, taken as a function of the state complexity n of these languages. We study the syntactic complexity of R- and J-trivial regular languages, and prove that n! and floor of [e(n-1)!] are tight upper bounds for these languages, respectively. We also prove that 2^{n-1} is the tight upper bound on the state complexity of reversal of J-trivial regular languages.Comment: 17 pages, 5 figures, 1 tabl

Logic and the Generative Power of Autosegmental Phonology

Autosegmental Phonology is studied in the framework of Formal Language Theory, which classifies the computational complexity of patterns. In contrast to previous computational studies of Autosegmental Phonology, which were mainly concerned with finite-state implementations of the formalism, a methodology for a model-theoretic study of autosegmental diagrams with monadic second-order logic is introduced. Monadic second order logic provides a mathematically rigorous way of studying autosegmental formalisms, and its complexity is well understood. The preliminary conclusion is that autosegmental diagrams which conform to the well-formedness constraints defined here likely describe at most regular sets of strings

Syntactic Complexities of Nine Subclasses of Regular Languages

The syntactic complexity of a regular language is the cardinality of its syntactic semigroup. The syntactic complexity of a subclass of the class of regular languages is the maximal syntactic complexity of languages in that class, taken as a function of the state complexity n of these languages. We study the syntactic complexity of suffix-, bifix-, and factor-free regular languages, star-free languages including three subclasses, and R- and J-trivial regular languages. We found upper bounds on the syntactic complexities of these classes of languages. For R- and J-trivial regular languages, the upper bounds are n! and ⌊e(n-1)!⌋, respectively, and they are tight for n >= 1. Let C^n_k be the binomial coefficient ``n choose k''. For monotonic languages, the tight upper bound is C^{2n-1}_n. We also found tight upper bounds for partially monotonic and nearly monotonic languages. For the other classes of languages, we found tight upper bounds for languages with small state complexities, and we exhibited languages with maximal known syntactic complexities. We conjecture these lower bounds to be tight upper bounds for these languages. We also observed that, for some subclasses C of regular languages, the upper bound on state complexity of the reversal operation on languages in C can be met by languages in C with maximal syntactic complexity. For R- and J-trivial regular languages, we also determined tight upper bounds on the state complexity of the reversal operation