Pushdown Automata 1 Formal Definition
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Grammars (Cfls & Cfgs) Reading: Chapter 5
Context-Free Languages & Grammars (CFLs & CFGs) Reading: Chapter 5 1 Not all languages are regular So what happens to the languages which are not regular? Can we still come up with a language recognizer? i.e., something that will accept (or reject) strings that belong (or do not belong) to the language? 2 Context-Free Languages A language class larger than the class of regular languages Supports natural, recursive notation called “context- free grammar” Applications: Context- Parse trees, compilers Regular free XML (FA/RE) (PDA/CFG) 3 An Example A palindrome is a word that reads identical from both ends E.g., madam, redivider, malayalam, 010010010 Let L = { w | w is a binary palindrome} Is L regular? No. Proof: N N (assuming N to be the p/l constant) Let w=0 10 k By Pumping lemma, w can be rewritten as xyz, such that xy z is also L (for any k≥0) But |xy|≤N and y≠ + ==> y=0 k ==> xy z will NOT be in L for k=0 ==> Contradiction 4 But the language of palindromes… is a CFL, because it supports recursive substitution (in the form of a CFG) This is because we can construct a “grammar” like this: Same as: 1. A ==> A => 0A0 | 1A1 | 0 | 1 | Terminal 2. A ==> 0 3. A ==> 1 Variable or non-terminal Productions 4. A ==> 0A0 5. A ==> 1A1 How does this grammar work? 5 How does the CFG for palindromes work? An input string belongs to the language (i.e., accepted) iff it can be generated by the CFG G: Example: w=01110 A => 0A0 | 1A1 | 0 | 1 | G can generate w as follows: Generating a string from a grammar: 1. -
More Concise Representation of Regular Languages by Automata and Regular Expressions
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Information and Computation 208 (2010)385–394 Contents lists available at ScienceDirect Information and Computation journal homepage: www.elsevier.com/locate/ic More concise representation of regular languages by automata ୋ and regular expressions Viliam Geffert a, Carlo Mereghetti b,∗, Beatrice Palano b a Department of Computer Science, P. J. Šafárik University, Jesenná 5, 04154 Košice, Slovakia b Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, via Comelico 39, 20135 Milano, Italy ARTICLE INFO ABSTRACT Article history: We consider two formalisms for representing regular languages: constant height pushdown Received 12 February 2009 automata and straight line programs for regular expressions. We constructively prove that Revised 27 July 2009 their sizes are polynomially related. Comparing them with the sizes of finite state automata Available online 18 January 2010 and regular expressions, we obtain optimal exponential and double exponential gaps, i.e., a more concise representation of regular languages. Keywords: © 2010 Elsevier Inc. All rights reserved. Pushdown automata Regular expressions Straight line programs Descriptional complexity 1. Introduction Several systems for representing regular languages have been presented and studied in the literature. For instance, for the original model of finite state automaton [11], a lot of modifications have been introduced: nondeterminism [11], alternation [4], probabilistic evolution [10], two-way input head motion [12], etc. Other important formalisms for defining regular languages are, e.g., regular grammars [7] and regular expressions [8]. All these models have been proved to share the same expressive power by exhibiting simulation results. -
Formal Language and Automata Theory (CS21004)
Context Free Grammar Normal Forms Derivations and Ambiguities Pumping lemma for CFLs PDA Parsing CFL Properties Formal Language and Automata Theory (CS21004) Soumyajit Dey CSE, IIT Kharagpur Context Free Formal Language and Automata Theory Grammar (CS21004) Normal Forms Derivations and Ambiguities Pumping lemma Soumyajit Dey for CFLs CSE, IIT Kharagpur PDA Parsing CFL Properties DPDA, DCFL Membership CSL Soumyajit Dey CSE, IIT Kharagpur Formal Language and Automata Theory (CS21004) Context Free Grammar Normal Forms Derivations and Ambiguities Pumping lemma for CFLs PDA Parsing CFL Properties Formal Language and Automata Announcements Theory (CS21004) Soumyajit Dey CSE, IIT Kharagpur Context Free Grammar Normal Forms Derivations and The slide is just a short summary Ambiguities Follow the discussion and the boardwork Pumping lemma for CFLs Solve problems (apart from those we dish out in class) PDA Parsing CFL Properties DPDA, DCFL Membership CSL Soumyajit Dey CSE, IIT Kharagpur Formal Language and Automata Theory (CS21004) Context Free Grammar Normal Forms Derivations and Ambiguities Pumping lemma for CFLs PDA Parsing CFL Properties Formal Language and Automata Table of Contents Theory (CS21004) Soumyajit Dey 1 Context Free Grammar CSE, IIT Kharagpur 2 Normal Forms Context Free Grammar 3 Derivations and Ambiguities Normal Forms 4 Derivations and Pumping lemma for CFLs Ambiguities 5 Pumping lemma PDA for CFLs 6 Parsing PDA Parsing 7 CFL Properties CFL Properties DPDA, DCFL 8 DPDA, DCFL Membership 9 Membership CSL 10 CSL Soumyajit Dey CSE, -
Iterated Stack Automata and Complexity Classes
INFORMATION AND COMPUTATION 95, 2 1-75 ( t 99 1) Iterated Stack Automata and Complexity Classes JOOST ENCELFRIET Department of Computer Science, Leiden University. P.O. Box 9.512, 2300 RA Leiden, The Netherlands An iterated pushdown is a pushdown of pushdowns of . of pushdowns. An iterated exponential function is 2 to the 2 to the to the 2 to some polynomial. The main result presented here is that the nondeterministic 2-way and multi-head iterated pushdown automata characterize the deterministic iterated exponential time complexity classes. This is proved by investigating both nondeterministic and alternating auxiliary iterated pushdown automata, for which similar characteriza- tion results are given. In particular it is shown that alternation corresponds to one more iteration of pushdowns. These results are applied to the l-way iterated pushdown automata: (1) they form a proper hierarchy with respect to the number of iterations, and (2) their emptiness problem is complete in deterministic iterated exponential time. Similar results are given for iterated stack (checking stack, non- erasing stack, nested stack, checking stack-pushdown) automata. ? 1991 Academic Press. Inc INTRODUCTION It is well known that several types of 2-way and multi-head pushdown automata and stack automata have the same power as certain time or space bounded Turing machines; see, e.g., Chapter 14 of (Hopcroft and Ullman, 1979), or Sections 13 and 20.2 of (Wagner and Wechsung, 1986). For the deterministic and nondeterministic case such characterizations were given by Fischer (1969) for checking stack automata, by Hopcroft and Ullman (1967b) for nonerasing stack automata, by Cook (1971) for auxiliary pushdown and 2-way stack automata, by Ibarra (1971) for auxiliary (nonerasing and erasing) stack automata, by Beeri (1975) for 2-way and auxiliary nested stack automata, and by van Leeuwen (1976) for auxiliary checking stack-pushdown automata. -
Hairdressing in Groups: a Survey of Combings and Formal Languages 1
ISSN 1464-8997 493 Geometry & Topology Monographs Volume 1: The Epstein Birthday Schrift Pages 493–509 Hairdressing in groups: a survey of combings and formal languages Sarah Rees Abstract A group is combable if it can be represented by a language of words satisfying a fellow traveller property; an automatic group has a synchronous combing which is a regular language. This article surveys results for combable groups, in particular in the case where the combing is a formal language. AMS Classification 20F10, 20-04, 68Q40; 03D40 Keywords Combings, formal languages, fellow travellers, automatic groups Dedicated to David Epstein on the occasion of his 60th birthday 1 Introduction The aim of this article is to survey work generalising the notion of an automatic group, in particular to classes of groups associated with various classes of formal languages in the same way that automatic groups are associated with regular languages. The family of automatic groups, originally defined by Thurston in an attempt to abstract certain finiteness properties of the fundamental groups of hyperbolic manifolds recognised by Cannon in [12], has been of interest for some time. The defining properties of the family give a geometrical viewpoint on the groups and facilitate computation with them; to such a group is associated a set of paths in the Cayley graph of the group (a ‘language’ for the group) which both satisfies a geometrical ‘fellow traveller condition’ and, when viewed as a set of words, lies in the formal language class of regular languages. (A formal definition is given in section 2.) Epstein et al.’s book [15] gives a full account; the papers [3] and [16] are also useful references (in particular, [16] is very readable and non-technical). -
2 Context-Free Grammars and Pushdown Automata
2 Context-free Grammars and Pushdown Automata As we have seen in Exercise 15, regular languages are not even sufficient to cover well-balanced brackets. In order even to treat the problem of parsing a program we have to consider more powerful languages. Our aim in this section is to generalize the concept of a regular language to cover this example (and others like it), and to find ways of describing such languages. The analogue of a regular expression is a context-free grammar while finite state machines are generalized to pushdown automata. We establish the correspondence between the two and then finish by describing the kinds of languages that are not captured by these more general methods. 2.1 Context-free grammars The question of recognizing well-balanced brackets is the same as that of dealing with nesting to arbitrary depths, which certainly occurs in all programming languages. To cover these examples we introduce the following definition. Definition 11 A context-free grammar is given by the following: • an alphabet Σ of terminal symbols, also called the object alphabet; • an alphabet N of non-terminal symbols, the elements of which are also referred to as auxiliary characters, placeholders or, in some books, variables, where N \ Σ = ;;7 • a special non-terminal symbol S 2 N called the start symbol; • a finite set of production rules, that is strings of the form R ! Γ where R 2 N is a non- terminal symbol and Γ 2 (Σ [ N)∗ is an arbitrary string of terminal and non-terminal symbols, which can be read as `R can be replaced by Γ'.8 You will meet grammars in more detail in the other part of the course, when examining parsers. -
Pushdown Automata
Pushdown Automata Announcements ● Problem Set 5 due this Friday at 12:50PM. ● Late day extension: Using a 72-hour late day now extends the due date to 12:50PM on Tuesday, February 19th. The Weak Pumping Lemma ● The Weak Pumping Lemma for Regular Languages states that For any regular language L, There exists a positive natural number n such that For any w ∈ L with |w| ≥ n, There exists strings x, y, z such that For any natural number i, w = xyz, w can be broken into three pieces, y ≠ ε where the middle piece isn't empty, where the middle piece can be xyiz ∈ L replicated zero or more times. Counting Symbols ● Consider the alphabet Σ = { 0, 1 } and the language L = { w ∈ Σ* | w contains an equal number of 0s and 1s. } ● For example: ● 01 ∈ L ● 110010 ∈ L ● 11011 ∉ L ● Question: Is L a regular language? The Weak Pumping Lemma L = { w ∈ {0, 1}*| w contains an equal number of 0s and 1s. } 1 0 0 1 An Incorrect Proof Theorem: L is regular. Proof: We show that L satisfies the condition of the pumping lemma. Let n = 2 and consider any string w ∈ L such that |w| ≥ 2. Then we can write w = xyz such that x = z = ε and y = w, so y ≠ ε. Then for any natural number i, xyiz = wi, which has the same number of 0s and 1s. Since L passes the conditions of the weak pumping lemma, L is regular. ■ The Weak Pumping Lemma ● The Weak Pumping Lemma for Regular Languages states that ThisThis sayssays nothingnothing aboutabout For any regular language L, languageslanguages thatthat aren'taren't regular!regular! There exists a positive natural number n such that For any w ∈ L with |w| ≥ n, There exists strings x, y, z such that For any natural number i, w = xyz, w can be broken into three pieces, y ≠ ε where the middle piece isn't empty, where the middle piece can be xyiz ∈ L replicated zero or more times. -
Input Finite State Control Accept Or Reject Stack
Pushdown Automata CS351 Just as a DFA was equivalent to a regular expression, we have a similar analogy for the context-free grammar. A pushdown automata (PDA) is equivalent in power to context- free grammars. We can give either a context-free grammar generating a context-free language, or we can give a pushdown automaton. Certain languages are more easily described in forms of one or the other. A pushdown automata is quite similar to a nondeterministic finite automata, but we add the extra component of a stack. The stack is of infinite size, and this is what will allow us to recognize some of the non-regular languages. We can visualize the pushdown automata as the following schematic: Finite input Accept or reject State Control Stack The finite state control reads inputs, one symbol at a time. The pushdown automata makes transitions to new states based on the input symbol, current state, and the top of the stack. In the process we may manipulate the stack. Ultimately, the control accepts or rejects the input. In one transition the PDA may do the following: 1. Consume the input symbol. If ε is the input symbol, then no input is consumed. 2. Go to a new state, which may be the same as the previous state. 3. Replace the symbol at the top of the stack by any string. a. If this string is ε then this is a pop of the stack b. The string might be the same as the current stack top (does nothing) c. Replace with a new string (pop and push) d. -
Context Free Grammars October 16, 2019 14.1 Review 14.2 Pushdown
CS 4510: Automata and Complexity Fall 2019 Lecture 14: Context Free Grammars October 16, 2019 Lecturer: Santosh Vempala Scribe: Aditi Laddha 14.1 Review Context-free grammar: Context-free grammar(CFG), we define the following: V : set of variables, S 2 V : start symbol, Σ: set of terminals, and R: production rules, V ! (V [ Σ)∗ 14.2 Pushdown Automaton Pushdown Automaton: A pushdown automaton(PDA) is defined as Q: the set of states, q0 2 Q: the start state, F ⊆ Q: the set of accept states, Σ: Input alphabet, Γ: Stack alphabet, and δ: the transition function for PDA where δ : Q × (Σ [ ) × (Γ [ ) ! 2Q×(Γ[). Note that the transition function is non-deterministic and defines the following stack operations: • Push: (q; a; ) ! (q0; b0) In state q on reading input letter a, we go to state q0 and push b0 on top of the stack. • Pop: (q; a; b) ! (q0; ) In state q on reading input letter a and top symbol of the stack b, we go to state q0 and pop b from top of the stack. Example 1: L = f0i1i : i 2 Ng∗ • CFG G1: S ! S ! SS1 S1 ! S1 ! 0S11 • PDA: 14-1 Lecture 14: Context Free Grammars 14-2 0; ! 0 1; 0 ! , ! $ 1; 0 ! start qstart q1 q2 , $ ! qaccept Figure 14.1: PDA for L Example 2: The set of balanced parenthesis • CFG G2: S ! S ! SS S ! (S) • PDA: (; ! ( , ! $ start qstart q1 , $ ! ); (! qaccept Figure 14.2: PDA for balanced parenthesis How can we generate (()(())) using these production rules? There can be multiple ways to generate the same terminal string from S. -
(Or Simply a Grammar) Is (V, T, P, S), Where (I) V Is a Finite Nonempty Set Whose Elements Are Called Variables
UNIT - III GRAMMARS FORMALISM Definition of Grammar: A phrase-Structure grammar (or Simply a grammar) is (V, T, P, S), Where (i) V is a finite nonempty set whose elements are called variables. (ii) T is finite nonempty set, whose elements are called terminals. (iii) S is a special variable (i.e an element of V ) called the start symbol, and (iv) P is a finite set whose elements are ,where and are strings on V T, has at least one symbol from V. Elements of P are called Productions or production rules or rewriting rules. 1. Regular Grammar: A grammar G=(V,T,P,S) is said to be Regular grammar if the productions are in either right-linear grammar or left-linear grammar. ABx|xB|x 1.1 Right –Linear Grammar: A grammar G=(V,T,P,S) is said to be right-linear if all productions are of the form AxB or Ax. Where A,B V and x T*. 1.2 Left –Linear Grammar: A grammar G=(V,T,P,S) is said to be Left-linear grammar if all productions are of the form ABx or Ax Example: 1. Construct the regular grammar for regular expression r=0(10)*. Sol: Right-Linear Grammar: S0A A10A| Computer Science & Engineering Formal Languages and Automata Theory Left-Linear Grammar: SS10|0 2. Equivalence of NFAs and Regular Grammar 2.1 Construction of -NFA from a right –linear grammar: Let G=(V,T,P,S) be a right-linear grammar .we construct an NFA with -moves, M=(Q,T, ,[S],[ ]) that simulates deviation in ‘G’ Q consists of the symbols [ ] such that is S or a(not necessarily proper)suffix of some Right-hand side of a production in P. -
Extended Macro Grammars and Stack Controlled Machines
JOURNAL OF COMPUTER AND SYSTEM SClENCFS 29, 366-408 (1984) Extended Macro Grammars and Stack Controlled Machines JOOSTENGELFRIET AND GIORA SLUTZKI* Departmenl qf Applied Mathematics, Twente University of Technology, P.O. Box 217, 75OOAE Enschede, The Netherlands ReceivedJuly 26, 1983;revised July 2, 1984 K-extended basic macro grammars are introduced, where K is any class of languages. The class B(K) of languages generated by such grammars is investigated, together with the class LB(K) of languages generated by the corresponding linear basic grammars. For any full semi- AFL K, B(K) is a full AFL closed under iterated LB(K)-substitution, but not necessarily under substitution. For any machine type D, the stack controlled machine type corresponding to D is introduced, denoted S(D), and the checking-stack controlled machine type CS(D). The data structure of this machine is a stack which controls a pushdown of data structures from D. If D accepts K, then S(D) accepts B(K) and CS(D) accepts LB(K). Thus the classes B(K) are characterized by stack controlled machines and the classes LB(K), i.e., the full hyper-AFLs, by checking-stack controlled machines. A full basic-AFL is a full AFL K such that B(K)& K. Every full basic-AFL is a full hyper-AFL, but not vice versa. The class of 01 macro languages (i.e., indexed languages, i.e., nested stack automaton languages) is a full basic-AFL, properly containing the smallest full basic-AFL. The latter is generated by the ultrabasic macro gram- mars and accepted by the nested stack automata with bounded depth of nesting (and properly contains the stack languages, the ETOL languages, i.e., the smallest full hyper-AFL, and the basic macro languages). -
Arxiv:Math/9812028V1 [Math.GR] 4 Dec 1998 Emti N Agaetertccaatrztoso Vi of [17]
ON GROUPS WHOSE WORD PROBLEM IS SOLVED BY A NESTED STACK AUTOMATON ROBERT GILMAN AND MICHAEL SHAPIRO Abstract. Accessible groups whose word problems are accepted by a deterministic nested stack automaton with limited erasing are virtually free. 1. Introduction. During the past several years combinatorial group theory has received an in- fusion of ideas both from topology and from the theory of formal languages. The resulting interplay between groups, the geometry of their Cayley dia- grams, and associated formal languages has led to several developments in- cluding the introduction of automatic groups [6], hyperbolic groups [12], and geometric and language–theoretic characterizations of virtually free groups [17]. We will restrict our attention to finitely generated groups. For any such group the language of all words which define the identity is called the word problem of the group. By words we mean words over the generators. Of course the word problem depends on the choice of generators. In [17] virtu- ally free groups are shown to be exactly those groups whose word problem with respect to any set of generators is a context–free language. We are in- terested in investigating groups whose word problems lie in other language classes. Formal languages are often defined in terms of the type of machine which can tell whether or not a given word is in the language. Such a machine is said to accept the language. Context–free languages are accepted by push- arXiv:math/9812028v1 [math.GR] 4 Dec 1998 down automata, and those context–free languages which are word problems are accepted by the subclass of deterministic limited erasing pushdown au- tomata [17, Lemma 3].