Theme and Variations on the Concatenation Product
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Automata, Semigroups and Duality
Automata, semigroups and duality Mai Gehrke1 Serge Grigorieff2 Jean-Eric´ Pin2 1Radboud Universiteit 2LIAFA, CNRS and University Paris Diderot TANCL’07, August 2007, Oxford LIAFA, CNRS and University Paris Diderot Outline (1) Four ways of defining languages (2) The profinite world (3) Duality (4) Back to the future LIAFA, CNRS and University Paris Diderot Part I Four ways of defining languages LIAFA, CNRS and University Paris Diderot Words and languages Words over the alphabet A = {a, b, c}: a, babb, cac, the empty word 1, etc. The set of all words A∗ is the free monoid on A. A language is a set of words. Recognizable (or regular) languages can be defined in various ways: ⊲ by (extended) regular expressions ⊲ by finite automata ⊲ in terms of logic ⊲ by finite monoids LIAFA, CNRS and University Paris Diderot Basic operations on languages • Boolean operations: union, intersection, complement. • Product: L1L2 = {u1u2 | u1 ∈ L1,u2 ∈ L2} Example: {ab, a}{a, ba} = {aa, aba, abba}. • Star: L∗ is the submonoid generated by L ∗ L = {u1u2 · · · un | n > 0 and u1,...,un ∈ L} {a, ba}∗ = {1, a, aa, ba, aaa, aba, . .}. LIAFA, CNRS and University Paris Diderot Various types of expressions • Regular expressions: union, product, star: (ab)∗ ∪ (ab)∗a • Extended regular expressions (union, intersection, complement, product and star): A∗ \ (bA∗ ∪ A∗aaA∗ ∪ A∗bbA∗) • Star-free expressions (union, intersection, complement, product but no star): ∅c \ (b∅c ∪∅caa∅c ∪∅cbb∅c) LIAFA, CNRS and University Paris Diderot Finite automata a 1 2 The set of states is {1, 2, 3}. b The initial state is 1. b a 3 The final states are 1 and 2. -
A Quantum Query Complexity Trichotomy for Regular Languages
A Quantum Query Complexity Trichotomy for Regular Languages Scott Aaronson∗ Daniel Grier† Luke Schaeffer UT Austin MIT MIT [email protected] [email protected] [email protected] Abstract We present a trichotomy theorem for the quantum query complexity of regular languages. Every regular language has quantum query complexity Θ(1), Θ˜ (√n), or Θ(n). The extreme uniformity of regular languages prevents them from taking any other asymptotic complexity. This is in contrast to even the context-free languages, which we show can have query complex- ity Θ(nc) for all computable c [1/2,1]. Our result implies an equivalent trichotomy for the approximate degree of regular∈ languages, and a dichotomy—either Θ(1) or Θ(n)—for sensi- tivity, block sensitivity, certificate complexity, deterministic query complexity, and randomized query complexity. The heart of the classification theorem is an explicit quantum algorithm which decides membership in any star-free language in O˜ (√n) time. This well-studied family of the regu- lar languages admits many interesting characterizations, for instance, as those languages ex- pressible as sentences in first-order logic over the natural numbers with the less-than relation. Therefore, not only do the star-free languages capture functions such as OR, they can also ex- press functions such as “there exist a pair of 2’s such that everything between them is a 0.” Thus, we view the algorithm for star-free languages as a nontrivial generalization of Grover’s algorithm which extends the quantum quadratic speedup to a much wider range of string- processing algorithms than was previously known. -
A Categorical Approach to Syntactic Monoids 11
Logical Methods in Computer Science Vol. 14(2:9)2018, pp. 1–34 Submitted Jan. 15, 2016 https://lmcs.episciences.org/ Published May 15, 2018 A CATEGORICAL APPROACH TO SYNTACTIC MONOIDS JIRˇ´I ADAMEK´ a, STEFAN MILIUS b, AND HENNING URBAT c a Institut f¨urTheoretische Informatik, Technische Universit¨atBraunschweig, Germany e-mail address: [email protected] b;c Lehrstuhl f¨urTheoretische Informatik, Friedrich-Alexander-Universit¨atErlangen-N¨urnberg, Ger- many e-mail address: [email protected], [email protected] Abstract. The syntactic monoid of a language is generalized to the level of a symmetric monoidal closed category D. This allows for a uniform treatment of several notions of syntactic algebras known in the literature, including the syntactic monoids of Rabin and Scott (D “ sets), the syntactic ordered monoids of Pin (D “ posets), the syntactic semirings of Pol´ak(D “ semilattices), and the syntactic associative algebras of Reutenauer (D = vector spaces). Assuming that D is a commutative variety of algebras or ordered algebras, we prove that the syntactic D-monoid of a language L can be constructed as a quotient of a free D-monoid modulo the syntactic congruence of L, and that it is isomorphic to the transition D-monoid of the minimal automaton for L in D. Furthermore, in the case where the variety D is locally finite, we characterize the regular languages as precisely the languages with finite syntactic D-monoids. 1. Introduction One of the successes of the theory of coalgebras is that ideas from automata theory can be developed at a level of abstraction where they apply uniformly to many different types of systems. -
Syntactic Semigroups
Syntactic semigroups Jean-Eric Pin LITP/IBP, CNRS, Universit´e Paris VI, 4 Place Jussieu, 75252 Paris Cedex 05, FRANCE 1 Introduction This chapter gives an overview on what is often called the algebraic theory of finite automata. It deals with languages, automata and semigroups, and has connections with model theory in logic, boolean circuits, symbolic dynamics and topology. Kleene's theorem [70] is usually considered as the foundation of this theory. It shows that the class of recognizable languages (i.e. recognized by finite automata), coincides with the class of rational languages, which are given by rational expressions. The definition of the syntactic mono- id, a monoid canonically attached to each language, was first given in an early paper of Rabin and Scott [128], where the notion is credited to Myhill. It was shown in particular that a language is recognizable if and only if its syntactic monoid is finite. However, the first classification results were rather related to automata [89]. A break-through was realized by Schutzen-¨ berger in the mid sixties [144]. Schutzenb¨ erger made a non trivial use of the syntactic monoid to characterize an important subclass of the rational languages, the star-free languages. Schutzenb¨ erger's theorem states that a language is star-free if and only if its syntactic monoid is finite and aperiodic. This theorem had a considerable influence on the theory. Two other im- portant \syntactic" characterizations were obtained in the early seventies: Simon [152] proved that a language is piecewise testable if and only if its syntactic monoid is finite and J -trivial and Brzozowski-Simon [41] and in- dependently, McNaughton [86] characterized the locally testable languages. -
Typed Monoids – an Eilenberg-Like Theorem for Non Regular Languages
Electronic Colloquium on Computational Complexity, Report No. 35 (2011) Typed Monoids – An Eilenberg-like Theorem for non regular Languages Christoph Behle Andreas Krebs Stephanie Reifferscheid∗ Wilhelm-Schickard-Institut, Universität Tübingen, fbehlec,krebs,reiff[email protected] Abstract Based on different concepts to obtain a finer notion of language recognition via finite monoids we develop an algebraic structure called typed monoid. This leads to an algebraic description of regular and non regular languages. We obtain for each language a unique minimal recognizing typed monoid, the typed syntactic monoid. We prove an Eilenberg-like theorem for varieties of typed monoids as well as a similar correspondence for classes of languages with weaker closure properties. 1 Introduction We present an algebraic viewpoint on the study of formal languages and introduce a new algebraic structure to describe formal languages. We extend the known approach to use language recognition via monoids and morphisms by equipping the monoids with additional information to obtain a finer notion of recognition. In the concept of language recognition by monoids, a language L ⊆ Σ∗ is recognized by a monoid M if there exists a morphism h : Σ∗ ! M and a subset A of M such that L = h−1(A). The syntactic monoid, which is the smallest monoid recognizing L, has emerged as an important tool to study classes of regular languages. Besides problems applying this tool to non regular languages, even for regular languages this instrument lacks precision. One problem is, that not only the syntactic monoid but also the syntactic mor- phism, i.e. the morphism recognizing L via the syntactic monoid, plays an important role: Consider the two languages Lparity, Leven over the alphabet Σ = fa; bg where the first one consists of all words with an even number of a’s while the latter consists of all words of even length. -
Regular Expressions
Regular Expressions A regular expression describes a language using three operations. Regular Expressions A regular expression (RE) describes a language. It uses the three regular operations. These are called union/or, concatenation and star. Brackets ( and ) are used for grouping, just as in normal math. Goddard 2: 2 Union The symbol + means union or or. Example: 0 + 1 means either a zero or a one. Goddard 2: 3 Concatenation The concatenation of two REs is obtained by writing the one after the other. Example: (0 + 1) 0 corresponds to f00; 10g. (0 + 1)(0 + ") corresponds to f00; 0; 10; 1g. Goddard 2: 4 Star The symbol ∗ is pronounced star and means zero or more copies. Example: a∗ corresponds to any string of a’s: f"; a; aa; aaa;:::g. ∗ (0 + 1) corresponds to all binary strings. Goddard 2: 5 Example An RE for the language of all binary strings of length at least 2 that begin and end in the same symbol. Goddard 2: 6 Example An RE for the language of all binary strings of length at least 2 that begin and end in the same symbol. ∗ ∗ 0(0 + 1) 0 + 1(0 + 1) 1 Note precedence of regular operators: star al- ways refers to smallest piece it can, or to largest piece it can. Goddard 2: 7 Example Consider the regular expression ∗ ∗ ((0 + 1) 1 + ")(00) 00 Goddard 2: 8 Example Consider the regular expression ∗ ∗ ((0 + 1) 1 + ")(00) 00 This RE is for the set of all binary strings that end with an even nonzero number of 0’s. -
Technical Standard COBOL Language
Technical Standard COBOL Language NICAL H S C T A E N T D A R D [This page intentionally left blank] X/Open CAE Specification COBOL Language X/Open Company, Ltd. December 1991, X/Open Company Limited All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the copyright owners. X/Open CAE Specification COBOL Language ISBN: 1 872630 09 X X/Open Document Number: XO/CAE/91/200 Set in Palatino by X/Open Company Ltd., U.K. Printed by Maple Press, U.K. Published by X/Open Company Ltd., U.K. Any comments relating to the material contained in this document may be submitted to X/Open at: X/Open Company Limited Apex Plaza Forbury Road Reading Berkshire, RG1 1AX United Kingdom or by Electronic Mail to: [email protected] X/Open CAE Specification (1991) Page : ii COBOL Language Contents COBOL LANGUAGE Chapter 1 INTRODUCTION 1.1 THE X/OPEN COBOL DEFINITION 1.2 HISTORY OF THIS DOCUMENT 1.3 FORMAT OF ENTRIES 1.3.1 Typographical Conventions 1.3.2 Terminology Chapter 2 COBOL DEFINITION 2.1 GENERAL FORMAT FOR A SEQUENCE OF SOURCE PROGRAMS 2.2 GENERAL FORMAT FOR NESTED SOURCE PROGRAMS 2.2.1 Nested-Source-Program 2.3 GENERAL FORMAT FOR IDENTIFICATION DIVISION 2.4 GENERAL FORMAT FOR ENVIRONMENT DIVISION 2.5 GENERAL FORMAT FOR SOURCE-COMPUTER-ENTRY 2.6 GENERAL FORMAT FOR OBJECT-COMPUTER-ENTRY 2.7 GENERAL FORMAT FOR SPECIAL-NAMES-CONTENT 2.8 GENERAL FORMAT FOR FILE-CONTROL-ENTRY 2.8.1 -
CMPSCI 250 Lecture
CMPSCI 250: Introduction to Computation Lecture #29: Proving Regular Language Identities David Mix Barrington 6 April 2012 Proving Regular Language Identities • Regular Language Identities • The Semiring Axioms Again • Identities Involving Union and Concatenation • Proving the Distributive Law • The Inductive Definition of Kleene Star • Identities Involving Kleene Star • (ST)*, S*T*, and (S + T)* Regular Language Identities • In this lecture and the next we’ll use our new formal definition of the regular languages to prove things about them. In particular, in this lecture we’ll prove a number of regular language identities, which are statements about languages where the types of the free variables are “regular expression” and which are true for all possible values of those free variables. • For example, if we view the union operator + as “addition” and the concatenation operator ⋅ as “multiplication”, then the rule S(T + U) = ST + SU is a statement about languages and (as we’ll prove today) is a regular language identity. In fact it’s a language identity as regularity doesn’t matter. • We can use the inductive definition of regular expressions to prove statements about the whole family of them -- this will be the subject of the next lecture. The Semiring Axioms Again • The set of natural numbers, with the ordinary operations + and ×, forms an algebraic structure called a semiring. Earlier we proved the semiring axioms for the naturals from the Peano axioms and our inductive definitions of + and ×. It turns out that the languages form a semiring under union and concatenation, and the regular languages are a subsemiring because they are closed under + and ⋅: if R and S are regular, so are R + S and R⋅S. -
Some Aspects of Semirings
Appendix A Some Aspects of Semirings Semirings considered as a common generalization of associative rings and dis- tributive lattices provide important tools in different branches of computer science. Hence structural results on semirings are interesting and are a basic concept. Semi- rings appear in different mathematical areas, such as ideals of a ring, as positive cones of partially ordered rings and fields, vector bundles, in the context of topolog- ical considerations and in the foundation of arithmetic etc. In this appendix some algebraic concepts are introduced in order to generalize the corresponding concepts of semirings N of non-negative integers and their algebraic theory is discussed. A.1 Introductory Concepts H.S. Vandiver gave the first formal definition of a semiring and developed the the- ory of a special class of semirings in 1934. A semiring S is defined as an algebra (S, +, ·) such that (S, +) and (S, ·) are semigroups connected by a(b+c) = ab+ac and (b+c)a = ba+ca for all a,b,c ∈ S.ThesetN of all non-negative integers with usual addition and multiplication of integers is an example of a semiring, called the semiring of non-negative integers. A semiring S may have an additive zero ◦ defined by ◦+a = a +◦=a for all a ∈ S or a multiplicative zero 0 defined by 0a = a0 = 0 for all a ∈ S. S may contain both ◦ and 0 but they may not coincide. Consider the semiring (N, +, ·), where N is the set of all non-negative integers; a + b ={lcm of a and b, when a = 0,b= 0}; = 0, otherwise; and a · b = usual product of a and b. -
Syntactic Semigroup Problem for the Semigroup Reducts of Affine Near-Semirings Over Brandt Semigroups
SYNTACTIC SEMIGROUP PROBLEM FOR THE SEMIGROUP REDUCTS OF AFFINE NEAR-SEMIRINGS OVER BRANDT SEMIGROUPS JITENDER KUMAR AND K. V. KRISHNA Abstract. The syntactic semigroup problem is to decide whether a given finite semigroup is syntactic or not. This work investigates the syntactic semi- + group problem for both the semigroup reducts of A (Bn), the affine near- semiring over a Brandt semigroup Bn. It is ascertained that both the semi- + group reducts of A (Bn) are syntactic semigroups. 1. Introduction The concept of syntactic semigroup (in particular, syntactic monoid) plays a vi- tal role in algebraic automata theory. In fact, a language is recognizable if and only if its syntactic monoid is finite (cf. [9, 10]). Sch¨utzenberger made a nontrivial use of syntactic semigroups to characterize an important subclass of recognizable lan- guages, viz., star-free languages. Sch¨utzenberger theorem states that a recognizable language is star-free if and only if its syntactic semigroup is finite and aperiodic [11]. Simon established that a recognizable language language is piecewise testable if and only if its syntactic monoid is J -trivial [12]. Syntactic semigroups have been studied in various contexts (e.g., [3, 4]). The syntactic semigroup problem is to decide whether a given finite semigroup is syntactic or not. Many authors have investigated the syntactic semigroup problem for various semigroups. Lallement and Milito proved that any finite semilattice of groups with identity is the syntactic monoid of a recognizable language [8]. In [2], Goralˇc´ıket al. observed that every finite inverse semigroup is syntactic. For a finite monoid M, an algorithm solving syntactic monoid problem for a large class of finite monoids in O(jMj3) time is obtained by Goralˇc´ıkand Koubek [1]. -
Some Results on the Generalized Star-Height Problem
CORE Metadata, citation and similar papers at core.ac.uk Provided by Elsevier - Publisher Connector INFORMATION AND COMPUTATION 101, 219-250 (1992) Some Results on the Generalized Star-Height Problem J. E. PIN,* H. STRAUBING,~ AND D. TH~RIEN~ LITP, Universiti de Paris VI. 4 place Jussieu, 75252 Paris Cedex, France We prove some results related to the generalized star-height problem. In this problem. as opposed to the restricted star-height problem, complementation is considered as a basic operator. We first show that the class of languages of star- height <n is closed under certain operations (left and right quotients, inverse alphabetic morphisms. injective star-free substitutions). It is known that languages recognized by a commutative group are of star-height 1. We extend this result to nilpotent groups of class 2 and to the groups that divide a semidirect product of a commutative group by (L/2Z)“. In the same direction. we show that one of the languages that were conjectured to be of star-height 2 during the past ten years is in fact of star-height 1. Next we show that if a rational language L is recognized by a monoid of the variety generated by wreath products of the form Mb (G r N), where M and N are aperiodic monoids, and G is a commutative group, then L is of star-height < 1. Finally we show that every rational language is the inverse image, under some morphism between free monoids. of a language of (resticted) star-height 1. c 1992 Academic Press. Inc. The determination of the star-height of a rational language is an old problem of formal language theory (see Brzozowski, 1980, for an historical survey). -
Mal E Init N Synt X Cobol
BeMA EUROPEAN CO~IPUTER ~lANUFACTURERS ASSOCIATION MAL E INIT N of the SYNT X COBOL eptelnber ] 970 Free copies of this document are available from ECMA, European Computer Manufacturers Association, 114 Rue du Rhone - 1204 Geneva (Switzerland) EeMA EUROPEAN COMPUTER MANUFACTURERS ASSOCIATION FORMAL DEFINITION of the SYNTAX OF COBOL Septenlber 1970 FORMAL DEFINITION of the SYNTAX OF COBOL - i - CONTENTS Page PREFACE ix INTRODUCTION TO THE NOTATION xiii FORMAL DEFINITION OF COBOL SYNTAX G. Syntactic Definitions of General Nature EMPTY 1 COBOL GRAPHICS 2 COBOL CONTROLS 4 SOME FREQUENTLY USED SEPARATORS 5 WORD 6 PROPER NONNUMERIC LITERAL 7 PROPER NUMERIC LITERAL 8 FIGURATIVE CONSTANT 9 LITERAL 10 ARITHMETIC OPERATOR 11 PROPER RELATIONAL OPERATOR 12 PICTURE CHARACTER STRING 13 COMMENT STRING 14 OTHER LANGUAGE STRING 15 T. COBOL Text SEPARATORS 16 GENERALIZED CHARACTER STRING 17 STRUCTURE OF COBOL TEXT 18 - ii - Page N. Names defined by the Imp1ementors HARDWARE NAMES 19 OTHER NAMES 20 C. COBOL Program COBOL PROGRAM STRUCTURE 21 I. Identification Division IDENTIFICATION DIVISION STRUCTURE 22 PROGRAM-ID PARAGRAPH 23 DATE COMPILED PARAGRAPH 24 OTHER PARAGRAPHS 2S COt~ENT PAP~GRAPH BODY 26 E. Environment Division ENVIRONMENT DIVISION STRUCTURE 27 CONFIGURATION SECTION STRUCTURE 28 INPUT-OUTPUT SECTION STRUCTURE 29 SOURCE COMPUTER PARAGRAPH 30 OBJECT COMPUTER PARAGRAPH 31 SEGMENT LIMIT CLAUSE 32 SPECIAL-NAMES PARAGRAPH 33 SPECIAL-NAMES CLAUSE 34 CURRENCY-SIGN CLAUSE 37 DECIMAL-POINT CLAUSE 38 FILE-CONTROL PARAGRAPH 39 SELECT CLAUSE 41 ASSIGN CLAUSE 42 MULTIPLE REEL/UNIT CLAUSE 43 ALTERNATE AREA CLAUSE 44 FILE-LIMIT CLAUSE 4S - iii - Page ACCESS MODE CLAUSE 46 PROCESSING MODE CLAUSE 47 KEY CLAUSE 48 I-O-CONTROL PARAGRAPH 49 RERUN CLAUSE 50 SAME CLAUSE 51 MULTIPLE FILE CLAUSE 52 D.