Automata and Formal Languages - CM0081 Algebraic Laws for Regular Expressions

Size: px
Start display at page:

Download "Automata and Formal Languages - CM0081 Algebraic Laws for Regular Expressions"

Transcription

1 Automata and Formal Languages - CM0081 Algebraic Laws for Regular Expressions Andrés Sicard-Ramírez Universidad EAFIT Semester

2 Algebraic Laws for Regular Expressions Definition (Equivalence of regular expressions) Two regular expressions with variables are equivalent if whatever languages we substitute for the variables, the results of the two expressions are the same language. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 2/33

3 Algebraic Laws for Regular Expressions Definition (Equivalence of regular expressions) Two regular expressions with variables are equivalent if whatever languages we substitute for the variables, the results of the two expressions are the same language. Notation Let L, M and N be regular expression variables. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 3/33

4 Algebraic Laws for Regular Expressions Definition (Equivalence of regular expressions) Two regular expressions with variables are equivalent if whatever languages we substitute for the variables, the results of the two expressions are the same language. Notation Let L, M and N be regular expression variables. Sugar syntax L + def = LL, L? def = ε + L. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 4/33

5 Algebraic Laws for Regular Expressions Some laws for union (L + M) + N = L + (M + N) L + = + L = L L + M = M + L L + L = L (associativity) (identity) (commutativity) (idempotence) Remark: There is no inverse for union. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 5/33

6 Algebraic Laws for Regular Expressions Some laws for concatenation (LM)N = L(M N) Lε = εl = L LM M L L = L = (associativity) (identity) (non-commutativity) ( is the annihilator for concatenation) Remark: There is no inverse for concatenation. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 6/33

7 Algebraic Laws for Regular Expressions Some laws for union and concatenation L(M + N) = LM + LN (L + M)N = LN + LM (distributive) (distributive) Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 7/33

8 Algebraic Laws for Regular Expressions Some laws for closure (L ) = L = ε ε = ε (ε + L) = L L = L + + ε (idempotence) Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 8/33

9 Simplification of Regular Expressions Example 0 + (ε + 1)(ε + 1) 0 = 0 + (ε + 1)1 0 ((ε + L) = L ) = 0 + (ε )0 (distributive) = 0 + ( )0 (identity) = 0 + ( )0 (def. L + ) = (equivalence) = 1 0 (equivalence) Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 9/33

10 Let E and F be two regular expressions with the same set of variables {L 1,, L n }. To test if E = F : 1. Convert E and F to concrete regular expressions C and D, replacing each L i by a different symbol a i, for i = 1, 2,, n. 2. Test whether L(C) = L(D). If so, then E = F, and if not E F. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 10/33

11 Let E and F be two regular expressions with the same set of variables {L 1,, L n }. To test if E = F : 1. Convert E and F to concrete regular expressions C and D, replacing each L i by a different symbol a i, for i = 1, 2,, n. 2. Test whether L(C) = L(D). If so, then E = F, and if not E F. Observation We are proving by example! Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 11/33

12 Example Prove of disprove that L = L L. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 12/33

13 Example Prove of disprove that L = L L. 1. We replace the variable L by the concrete regular expression a. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 13/33

14 Example Prove of disprove that L = L L. 1. We replace the variable L by the concrete regular expression a. 2. a a a. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 14/33

15 Example Prove of disprove that L = L L. 1. We replace the variable L by the concrete regular expression a. 2. a a a. 3. Because L(a ) = L(a a ), we conclude that L = L L. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 15/33

16 Example Prove of disprove that L + ML = (L + M)L. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 16/33

17 Example Prove of disprove that L + ML = (L + M)L. 1. We replace the variables L and M by the concrete regular expressions a and b respectively. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 17/33

18 Example Prove of disprove that L + ML = (L + M)L. 1. We replace the variables L and M by the concrete regular expressions a and b respectively. 2. a + ba (a + b)a. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 18/33

19 Example Prove of disprove that L + ML = (L + M)L. 1. We replace the variables L and M by the concrete regular expressions a and b respectively. 2. a + ba (a + b)a. 3. aa L(a + ba) and aa L((a + b)a) L(a + ba) L((a + b)a) L + ML (L + M)L Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 19/33

20 Example (Hopcroft, Motwani and Ullman [2007], Exercise d) Prove of disprove that (L + M) M = (L M). Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 20/33

21 Example (Hopcroft, Motwani and Ullman [2007], Exercise d) Prove of disprove that (L + M) M = (L M). 1. We replace the variables L and M by the concrete regular expressions a and b respectively. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 21/33

22 Example (Hopcroft, Motwani and Ullman [2007], Exercise d) Prove of disprove that (L + M) M = (L M). 1. We replace the variables L and M by the concrete regular expressions a and b respectively. 2. (a + b) b (a b). Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 22/33

23 Example (Hopcroft, Motwani and Ullman [2007], Exercise d) Prove of disprove that (L + M) M = (L M). 1. We replace the variables L and M by the concrete regular expressions a and b respectively. 2. (a + b) b (a b). 3. Since ε (a + b) b and ε (a b) (L + M) M (L M) Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 23/33

24 Example (counter-example) Extensions of the previous test beyond regular expressions may fail. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 24/33

25 Example (counter-example) Extensions of the previous test beyond regular expressions may fail. 1. Add to the regular expression operators. 2. Test if L M N = L M. 3. From L = a, M = b and N = c, we should conclude that L M N = L M, that is, the property is true. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 25/33

26 Example (counter-example) Extensions of the previous test beyond regular expressions may fail. 1. Add to the regular expression operators. 2. Test if L M N = L M. 3. From L = a, M = b and N = c, we should conclude that L M N = L M, that is, the property is true. 4. The property is false. For example, if L = M = a and N = then L M N L M. 5. Therefore, the test is not valid! Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 26/33

27 Derivative of a Regular Expression Definition (Derivative of a language by a symbol) Let L Σ be a language and a Σ a symbol. We define a\l (derivative of L by a) by a\l = {x Σ ax L}. Brzozowski, J. A. (1964). Derivates of Regular Expressions. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 27/33

28 Derivative of a Regular Expression Definition (Derivative of a language by a symbol) Let L Σ be a language and a Σ a symbol. We define a\l (derivative of L by a) by Examples a\l = {x Σ ax L}. a\{abab, abba} = {bab, bba}, a\l(ab ) = L(b ), b\l(ab ) =. Brzozowski, J. A. (1964). Derivates of Regular Expressions. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 28/33

29 Derivative of a Regular Expression Definition (Derivative of a regular expression by a symbol) We define recursively a\e (derivative of the regular expression E by a Σ) by a\ =, a\ε =, a\a = ε, a\b = for a b, Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 29/33

30 Derivative of a Regular Expression Definition (Derivative of a regular expression by a symbol) We define recursively a\e (derivative of the regular expression E by a Σ) by a\ =, a\ε =, a\a = ε, a\b = for a b, a\(e + F ) = a\e + a\f, (a\e)f + a\f, a\(ef ) = { (a\e)f, a\(e ) = (a\e)e. if ε L(E), otherwise, Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 30/33

31 Derivative of a Regular Expression Definition (Derivative of a regular expression by a string) We define recursively w\e (derivative of the regular expression E by w Σ ) by ε\e = E, ax\e = a\(x\e). Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 31/33

32 Derivative of a Regular Expression Definition (Derivative of a regular expression by a string) We define recursively w\e (derivative of the regular expression E by w Σ ) by ε\e = E, ax\e = a\(x\e). Theorem (Brzozowski s Theorem 4.2) w L(E) ε L(w\E). Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 32/33

33 References Brzozowski, J. A. (1964). Derivates of Regular Expressions. Journal of the ACM 11.4, pp Hopcroft, J. E., Motwani, R. and Ullman, J. D. (2007). Introduction to Automata theory, Languages, and Computation. 3rd ed. Pearson Education. Automata and Formal Languages - CM0081. Algebraic Laws for Regular Expressions 33/33

Automata and Formal Languages - CM0081 Non-Deterministic Finite Automata

Automata and Formal Languages - CM0081 Non-Deterministic Finite Automata Automata and Formal Languages - CM81 Non-Deterministic Finite Automata Andrés Sicard-Ramírez Universidad EAFIT Semester 217-2 Non-Deterministic Finite Automata (NFA) Introduction q i a a q j a q k The

More information

Automata and Formal Languages - CM0081 Finite Automata and Regular Expressions

Automata and Formal Languages - CM0081 Finite Automata and Regular Expressions Automata and Formal Languages - CM0081 Finite Automata and Regular Expressions Andrés Sicard-Ramírez Universidad EAFIT Semester 2018-2 Introduction Equivalences DFA NFA -NFA RE Finite Automata and Regular

More information

Regular Expressions. Definitions Equivalence to Finite Automata

Regular Expressions. Definitions Equivalence to Finite Automata Regular Expressions Definitions Equivalence to Finite Automata 1 RE s: Introduction Regular expressions are an algebraic way to describe languages. They describe exactly the regular languages. If E is

More information

Automata and Formal Languages - CM0081 Determinist Finite Automata

Automata and Formal Languages - CM0081 Determinist Finite Automata Automata and Formal Languages - CM0081 Determinist Finite Automata Andrés Sicard-Ramírez Universidad EAFIT Semester 2018-2 Formal Languages: Origins Source areas [Greibach 1981, p. 14] Logic and recursive-function

More information

DFA to Regular Expressions

DFA to Regular Expressions DFA to Regular Expressions Proposition: If L is regular then there is a regular expression r such that L = L(r). Proof Idea: Let M = (Q,Σ, δ, q 1, F) be a DFA recognizing L, with Q = {q 1,q 2,...q n },

More information

Finite Automata and Formal Languages TMV026/DIT321 LP4 2012

Finite Automata and Formal Languages TMV026/DIT321 LP4 2012 Finite Automata and Formal Languages TMV26/DIT32 LP4 22 Lecture 7 Ana Bove March 27th 22 Overview of today s lecture: Regular Expressions From FA to RE Regular Expressions Regular expressions (RE) are

More information

Regular Expressions [1] Regular Expressions. Regular expressions can be seen as a system of notations for denoting ɛ-nfa

Regular Expressions [1] Regular Expressions. Regular expressions can be seen as a system of notations for denoting ɛ-nfa Regular Expressions [1] Regular Expressions Regular expressions can be seen as a system of notations for denoting ɛ-nfa They form an algebraic representation of ɛ-nfa algebraic : expressions with equations

More information

Finite Automata and Formal Languages

Finite Automata and Formal Languages Finite Automata and Formal Languages TMV26/DIT32 LP4 2 Lecture 6 April 5th 2 Regular expressions (RE) are an algebraic way to denote languages. Given a RE R, it defines the language L(R). Actually, they

More information

3515ICT: Theory of Computation. Regular languages

3515ICT: Theory of Computation. Regular languages 3515ICT: Theory of Computation Regular languages Notation and concepts concerning alphabets, strings and languages, and identification of languages with problems (H, 1.5). Regular expressions (H, 3.1,

More information

Introduction to the Theory of Computation. Automata 1VO + 1PS. Lecturer: Dr. Ana Sokolova.

Introduction to the Theory of Computation. Automata 1VO + 1PS. Lecturer: Dr. Ana Sokolova. Introduction to the Theory of Computation Automata 1VO + 1PS Lecturer: Dr. Ana Sokolova http://cs.uni-salzburg.at/~anas/ Setup and Dates Lectures and Instructions 23.10. 3.11. 17.11. 24.11. 1.12. 11.12.

More information

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Lecture 9 Ana Bove April 19th 2018 Recap: Regular Expressions Algebraic representation of (regular) languages; R, S ::= a R + S RS R......

More information

Introduction to the Theory of Computation. Automata 1VO + 1PS. Lecturer: Dr. Ana Sokolova.

Introduction to the Theory of Computation. Automata 1VO + 1PS. Lecturer: Dr. Ana Sokolova. Introduction to the Theory of Computation Automata 1VO + 1PS Lecturer: Dr. Ana Sokolova http://cs.uni-salzburg.at/~anas/ Setup and Dates Lectures Tuesday 10:45 pm - 12:15 pm Instructions Tuesday 12:30

More information

Closure Properties of Regular Languages

Closure Properties of Regular Languages Closure Properties of Regular Languages Lecture 13 Section 4.1 Robb T. Koether Hampden-Sydney College Wed, Sep 21, 2016 Robb T. Koether (Hampden-Sydney College) Closure Properties of Regular Languages

More information

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2017

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2017 Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2017 Lecture 4 Ana Bove March 24th 2017 Structural induction; Concepts of automata theory. Overview of today s lecture: Recap: Formal Proofs

More information

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Lecture 4 Ana Bove March 23rd 2018 Recap: Formal Proofs How formal should a proof be? Depends on its purpose...... but should be convincing......

More information

This Lecture will Cover...

This Lecture will Cover... Last Lecture Covered... DFAs, NFAs, -NFAs and the equivalence of the language classes they accept Last Lecture Covered... This Lecture will Cover... Introduction to regular expressions and regular languages

More information

Ogden s Lemma. and Formal Languages. Automata Theory CS 573. The proof is similar but more fussy. than the proof of the PL4CFL.

Ogden s Lemma. and Formal Languages. Automata Theory CS 573. The proof is similar but more fussy. than the proof of the PL4CFL. CS 573 Automata Theory and Formal Languages Professor Leslie Lander Lecture # 24 December 4, 2000 Ogden s Lemma (6.2) Let L be a CFL, then there is a constant n such that if z is a word in L with z > n

More information

Regular Languages. Problem Characterize those Languages recognized by Finite Automata.

Regular Languages. Problem Characterize those Languages recognized by Finite Automata. Regular Expressions Regular Languages Fundamental Question -- Cardinality Alphabet = Σ is finite Strings = Σ is countable Languages = P(Σ ) is uncountable # Finite Automata is countable -- Q Σ +1 transition

More information

Axioms of Kleene Algebra

Axioms of Kleene Algebra Introduction to Kleene Algebra Lecture 2 CS786 Spring 2004 January 28, 2004 Axioms of Kleene Algebra In this lecture we give the formal definition of a Kleene algebra and derive some basic consequences.

More information

Theory of Computation

Theory of Computation Theory of Computation COMP363/COMP6363 Prerequisites: COMP4 and COMP 6 (Foundations of Computing) Textbook: Introduction to Automata Theory, Languages and Computation John E. Hopcroft, Rajeev Motwani,

More information

Regular Expressions and Language Properties

Regular Expressions and Language Properties Regular Expressions and Language Properties Mridul Aanjaneya Stanford University July 3, 2012 Mridul Aanjaneya Automata Theory 1/ 47 Tentative Schedule HW #1: Out (07/03), Due (07/11) HW #2: Out (07/10),

More information

AC68 FINITE AUTOMATA & FORMULA LANGUAGES DEC 2013

AC68 FINITE AUTOMATA & FORMULA LANGUAGES DEC 2013 Q.2 a. Prove by mathematical induction n 4 4n 2 is divisible by 3 for n 0. Basic step: For n = 0, n 3 n = 0 which is divisible by 3. Induction hypothesis: Let p(n) = n 3 n is divisible by 3. Induction

More information

CS 133 : Automata Theory and Computability

CS 133 : Automata Theory and Computability CS 133 : Automata Theory and Computability Lecture Slides 1 Regular Languages and Finite Automata Nestine Hope S. Hernandez Algorithms and Complexity Laboratory Department of Computer Science University

More information

Introduction to Finite-State Automata

Introduction to Finite-State Automata Introduction to Finite-State Automata John McDonough Language Technologies Institute, Machine Learning for Signal Processing Group, Carnegie Mellon University March 26, 2012 Introduction In this lecture,

More information

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Lecture 14 Ana Bove May 14th 2018 Recap: Context-free Grammars Simplification of grammars: Elimination of ǫ-productions; Elimination of

More information

Kleene Algebra and Arden s Theorem. Anshul Kumar Inzemamul Haque

Kleene Algebra and Arden s Theorem. Anshul Kumar Inzemamul Haque Kleene Algebra and Arden s Theorem Anshul Kumar Inzemamul Haque Motivation Regular Expression is a Kleene Algebra. We can use the properties and theorems of Kleene Algebra to simplify regular expressions

More information

Sri vidya college of engineering and technology

Sri vidya college of engineering and technology Unit I FINITE AUTOMATA 1. Define hypothesis. The formal proof can be using deductive proof and inductive proof. The deductive proof consists of sequence of statements given with logical reasoning in order

More information

Nondeterministic Finite Automata

Nondeterministic Finite Automata Nondeterministic Finite Automata Not A DFA Does not have exactly one transition from every state on every symbol: Two transitions from q 0 on a No transition from q 1 (on either a or b) Though not a DFA,

More information

What we have done so far

What we have done so far What we have done so far DFAs and regular languages NFAs and their equivalence to DFAs Regular expressions. Regular expressions capture exactly regular languages: Construct a NFA from a regular expression.

More information

Einführung in die Computerlinguistik

Einführung in die Computerlinguistik Einführung in die Computerlinguistik Context-Free Grammars formal properties Laura Kallmeyer Heinrich-Heine-Universität Düsseldorf Summer 2018 1 / 20 Normal forms (1) Hopcroft and Ullman (1979) A normal

More information

CS 154, Lecture 3: DFA NFA, Regular Expressions

CS 154, Lecture 3: DFA NFA, Regular Expressions CS 154, Lecture 3: DFA NFA, Regular Expressions Homework 1 is coming out Deterministic Finite Automata Computation with finite memory Non-Deterministic Finite Automata Computation with finite memory and

More information

Languages. Non deterministic finite automata with ε transitions. First there was the DFA. Finite Automata. Non-Deterministic Finite Automata (NFA)

Languages. Non deterministic finite automata with ε transitions. First there was the DFA. Finite Automata. Non-Deterministic Finite Automata (NFA) Languages Non deterministic finite automata with ε transitions Recall What is a language? What is a class of languages? Finite Automata Consists of A set of states (Q) A start state (q o ) A set of accepting

More information

Automata Theory. Lecture on Discussion Course of CS120. Runzhe SJTU ACM CLASS

Automata Theory. Lecture on Discussion Course of CS120. Runzhe SJTU ACM CLASS Automata Theory Lecture on Discussion Course of CS2 This Lecture is about Mathematical Models of Computation. Why Should I Care? - Ways of thinking. - Theory can drive practice. - Don t be an Instrumentalist.

More information

Homework 3/ Solutions

Homework 3/ Solutions MTH 310-3 Abstract Algebra I and Number Theory S17 Homework 3/ Solutions Exercise 1. Prove the following Theorem: Theorem Let R and S be rings. Define an addition and multiplication on R S by for all r,

More information

FABER Formal Languages, Automata. Lecture 2. Mälardalen University

FABER Formal Languages, Automata. Lecture 2. Mälardalen University CD5560 FABER Formal Languages, Automata and Models of Computation Lecture 2 Mälardalen University 2010 1 Content Languages, g Alphabets and Strings Strings & String Operations Languages & Language Operations

More information

CS 154. Finite Automata, Nondeterminism, Regular Expressions

CS 154. Finite Automata, Nondeterminism, Regular Expressions CS 54 Finite Automata, Nondeterminism, Regular Expressions Read string left to right The DFA accepts a string if the process ends in a double circle A DFA is a 5-tuple M = (Q, Σ, δ, q, F) Q is the set

More information

Section 1.3 Ordered Structures

Section 1.3 Ordered Structures Section 1.3 Ordered Structures Tuples Have order and can have repetitions. (6,7,6) is a 3-tuple () is the empty tuple A 2-tuple is called a pair and a 3-tuple is called a triple. We write (x 1,, x n )

More information

TAFL 1 (ECS-403) Unit- II. 2.1 Regular Expression: The Operators of Regular Expressions: Building Regular Expressions

TAFL 1 (ECS-403) Unit- II. 2.1 Regular Expression: The Operators of Regular Expressions: Building Regular Expressions TAFL 1 (ECS-403) Unit- II 2.1 Regular Expression: 2.1.1 The Operators of Regular Expressions: 2.1.2 Building Regular Expressions 2.1.3 Precedence of Regular-Expression Operators 2.1.4 Algebraic laws for

More information

CS 154, Lecture 2: Finite Automata, Closure Properties Nondeterminism,

CS 154, Lecture 2: Finite Automata, Closure Properties Nondeterminism, CS 54, Lecture 2: Finite Automata, Closure Properties Nondeterminism, Why so Many Models? Streaming Algorithms 0 42 Deterministic Finite Automata Anatomy of Deterministic Finite Automata transition: for

More information

Set Theory. CSE 215, Foundations of Computer Science Stony Brook University

Set Theory. CSE 215, Foundations of Computer Science Stony Brook University Set Theory CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.edu/~cse215 Set theory Abstract set theory is one of the foundations of mathematical thought Most mathematical

More information

Coalgebra, lecture 10: Algebra and Coalgebra for Regular Expressions

Coalgebra, lecture 10: Algebra and Coalgebra for Regular Expressions Coalgebra, lecture 10: Algebra and Coalgebra for Regular Expressions Jurriaan Rot November 19, 2018 By now we ve been talking a lot about coalgebras and coinduction, as well as algebras and induction.

More information

Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. The stack

Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. The stack A pushdown automata (PDA) is essentially: An NFA with a stack A move of a PDA will depend upon Current state of the machine Current symbol being read in Current symbol popped off the top of the stack With

More information

Kleene Algebras and Algebraic Path Problems

Kleene Algebras and Algebraic Path Problems Kleene Algebras and Algebraic Path Problems Davis Foote May 8, 015 1 Regular Languages 1.1 Deterministic Finite Automata A deterministic finite automaton (DFA) is a model of computation that can simulate

More information

Clarifications from last time. This Lecture. Last Lecture. CMSC 330: Organization of Programming Languages. Finite Automata.

Clarifications from last time. This Lecture. Last Lecture. CMSC 330: Organization of Programming Languages. Finite Automata. CMSC 330: Organization of Programming Languages Last Lecture Languages Sets of strings Operations on languages Finite Automata Regular expressions Constants Operators Precedence CMSC 330 2 Clarifications

More information

Regular Expression Unit 1 chapter 3. Unit 1: Chapter 3

Regular Expression Unit 1 chapter 3. Unit 1: Chapter 3 Unit 1: Chapter 3 (Regular Expression (RE) and Language) In previous lectures, we have described the languages in terms of machine like description-finite automata (DFA or NFA). Now we switch our attention

More information

Before we show how languages can be proven not regular, first, how would we show a language is regular?

Before we show how languages can be proven not regular, first, how would we show a language is regular? CS35 Proving Languages not to be Regular Before we show how languages can be proven not regular, first, how would we show a language is regular? Although regular languages and automata are quite powerful

More information

Harvard CS121 and CSCI E-121 Lecture 2: Mathematical Preliminaries

Harvard CS121 and CSCI E-121 Lecture 2: Mathematical Preliminaries Harvard CS121 and CSCI E-121 Lecture 2: Mathematical Preliminaries Harry Lewis September 5, 2013 Reading: Sipser, Chapter 0 Sets Sets are defined by their members A = B means that for every x, x A iff

More information

CMSC 330: Organization of Programming Languages

CMSC 330: Organization of Programming Languages CMSC 330: Organization of Programming Languages Theory of Regular Expressions DFAs and NFAs Reminders Project 1 due Sep. 24 Homework 1 posted Exam 1 on Sep. 25 Exam topics list posted Practice homework

More information

CS 275 Automata and Formal Language Theory

CS 275 Automata and Formal Language Theory CS 275 Automata and Formal Language Theory Course Notes Part II: The Recognition Problem (II) Chapter II.4.: Properties of Regular Languages (13) Anton Setzer (Based on a book draft by J. V. Tucker and

More information

Properties of Regular Languages. BBM Automata Theory and Formal Languages 1

Properties of Regular Languages. BBM Automata Theory and Formal Languages 1 Properties of Regular Languages BBM 401 - Automata Theory and Formal Languages 1 Properties of Regular Languages Pumping Lemma: Every regular language satisfies the pumping lemma. A non-regular language

More information

Regular Expressions Kleene s Theorem Equation-based alternate construction. Regular Expressions. Deepak D Souza

Regular Expressions Kleene s Theorem Equation-based alternate construction. Regular Expressions. Deepak D Souza Regular Expressions Deepak D Souza Department of Computer Science and Automation Indian Institute of Science, Bangalore. 16 August 2012 Outline 1 Regular Expressions 2 Kleene s Theorem 3 Equation-based

More information

Context Free Languages. Automata Theory and Formal Grammars: Lecture 6. Languages That Are Not Regular. Non-Regular Languages

Context Free Languages. Automata Theory and Formal Grammars: Lecture 6. Languages That Are Not Regular. Non-Regular Languages Context Free Languages Automata Theory and Formal Grammars: Lecture 6 Context Free Languages Last Time Decision procedures for FAs Minimum-state DFAs Today The Myhill-Nerode Theorem The Pumping Lemma Context-free

More information

Computational Models - Lecture 3 1

Computational Models - Lecture 3 1 Computational Models - Lecture 3 1 Handout Mode Iftach Haitner and Yishay Mansour. Tel Aviv University. March 13/18, 2013 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice

More information

What Is a Language? Grammars, Languages, and Machines. Strings: the Building Blocks of Languages

What Is a Language? Grammars, Languages, and Machines. Strings: the Building Blocks of Languages Do Homework 2. What Is a Language? Grammars, Languages, and Machines L Language Grammar Accepts Machine Strings: the Building Blocks of Languages An alphabet is a finite set of symbols: English alphabet:

More information

More on Finite Automata and Regular Languages. (NTU EE) Regular Languages Fall / 41

More on Finite Automata and Regular Languages. (NTU EE) Regular Languages Fall / 41 More on Finite Automata and Regular Languages (NTU EE) Regular Languages Fall 2016 1 / 41 Pumping Lemma is not a Sufficient Condition Example 1 We know L = {b m c m m > 0} is not regular. Let us consider

More information

SYLLABUS. Introduction to Finite Automata, Central Concepts of Automata Theory. CHAPTER - 3 : REGULAR EXPRESSIONS AND LANGUAGES

SYLLABUS. Introduction to Finite Automata, Central Concepts of Automata Theory. CHAPTER - 3 : REGULAR EXPRESSIONS AND LANGUAGES Contents i SYLLABUS UNIT - I CHAPTER - 1 : AUT UTOMA OMATA Introduction to Finite Automata, Central Concepts of Automata Theory. CHAPTER - 2 : FINITE AUT UTOMA OMATA An Informal Picture of Finite Automata,

More information

1. (a) Explain the procedure to convert Context Free Grammar to Push Down Automata.

1. (a) Explain the procedure to convert Context Free Grammar to Push Down Automata. Code No: R09220504 R09 Set No. 2 II B.Tech II Semester Examinations,December-January, 2011-2012 FORMAL LANGUAGES AND AUTOMATA THEORY Computer Science And Engineering Time: 3 hours Max Marks: 75 Answer

More information

cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska

cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska LECTURE 11 CHAPTER 3 CONTEXT-FREE LANGUAGES 1. Context Free Grammars 2. Pushdown Automata 3. Pushdown automata and context -free

More information

Computational Theory

Computational Theory Computational Theory Finite Automata and Regular Languages Curtis Larsen Dixie State University Computing and Design Fall 2018 Adapted from notes by Russ Ross Adapted from notes by Harry Lewis Curtis Larsen

More information

Formal Languages. We ll use the English language as a running example.

Formal Languages. We ll use the English language as a running example. Formal Languages We ll use the English language as a running example. Definitions. A string is a finite set of symbols, where each symbol belongs to an alphabet denoted by Σ. Examples. The set of all strings

More information

Chapter Five: Nondeterministic Finite Automata

Chapter Five: Nondeterministic Finite Automata Chapter Five: Nondeterministic Finite Automata From DFA to NFA A DFA has exactly one transition from every state on every symbol in the alphabet. By relaxing this requirement we get a related but more

More information

CMSC 330: Organization of Programming Languages. Regular Expressions and Finite Automata

CMSC 330: Organization of Programming Languages. Regular Expressions and Finite Automata CMSC 330: Organization of Programming Languages Regular Expressions and Finite Automata CMSC330 Spring 2018 1 How do regular expressions work? What we ve learned What regular expressions are What they

More information

CSE 105 THEORY OF COMPUTATION

CSE 105 THEORY OF COMPUTATION CSE 105 THEORY OF COMPUTATION Spring 2016 http://cseweb.ucsd.edu/classes/sp16/cse105-ab/ Today's learning goals Sipser Ch 3.3, 4.1 State and use the Church-Turing thesis. Give examples of decidable problems.

More information

CMSC 330: Organization of Programming Languages

CMSC 330: Organization of Programming Languages CMSC 330: Organization of Programming Languages Regular Expressions and Finite Automata CMSC 330 Spring 2017 1 How do regular expressions work? What we ve learned What regular expressions are What they

More information

TAFL 1 (ECS-403) Unit- III. 3.1 Definition of CFG (Context Free Grammar) and problems. 3.2 Derivation. 3.3 Ambiguity in Grammar

TAFL 1 (ECS-403) Unit- III. 3.1 Definition of CFG (Context Free Grammar) and problems. 3.2 Derivation. 3.3 Ambiguity in Grammar TAFL 1 (ECS-403) Unit- III 3.1 Definition of CFG (Context Free Grammar) and problems 3.2 Derivation 3.3 Ambiguity in Grammar 3.3.1 Inherent Ambiguity 3.3.2 Ambiguous to Unambiguous CFG 3.4 Simplification

More information

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY 15-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY REVIEW for MIDTERM 1 THURSDAY Feb 6 Midterm 1 will cover everything we have seen so far The PROBLEMS will be from Sipser, Chapters 1, 2, 3 It will be

More information

UNIT II REGULAR LANGUAGES

UNIT II REGULAR LANGUAGES 1 UNIT II REGULAR LANGUAGES Introduction: A regular expression is a way of describing a regular language. The various operations are closure, union and concatenation. We can also find the equivalent regular

More information

Inf2A: Converting from NFAs to DFAs and Closure Properties

Inf2A: Converting from NFAs to DFAs and Closure Properties 1/43 Inf2A: Converting from NFAs to DFAs and Stuart Anderson School of Informatics University of Edinburgh October 13, 2009 Starter Questions 2/43 1 Can you devise a way of testing for any FSM M whether

More information

Finite Automata and Regular Languages

Finite Automata and Regular Languages Finite Automata and Regular Languages Topics to be covered in Chapters 1-4 include: deterministic vs. nondeterministic FA, regular expressions, one-way vs. two-way FA, minimization, pumping lemma for regular

More information

cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska

cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska LECTURE 5 CHAPTER 2 FINITE AUTOMATA 1. Deterministic Finite Automata DFA 2. Nondeterministic Finite Automata NDFA 3. Finite Automata

More information

CS Automata, Computability and Formal Languages

CS Automata, Computability and Formal Languages Automata, Computability and Formal Languages Luc Longpré faculty.utep.edu/longpre 1 - Pg 1 Slides : version 3.1 version 1 A. Tapp version 2 P. McKenzie, L. Longpré version 2.1 D. Gehl version 2.2 M. Csűrös,

More information

Einführung in die Computerlinguistik Kontextfreie Grammatiken - Formale Eigenschaften

Einführung in die Computerlinguistik Kontextfreie Grammatiken - Formale Eigenschaften Normal forms (1) Einführung in die Computerlinguistik Kontextfreie Grammatiken - Formale Eigenschaften Laura Heinrich-Heine-Universität Düsseldorf Sommersemester 2013 normal form of a grammar formalism

More information

Computational Models - Lecture 4

Computational Models - Lecture 4 Computational Models - Lecture 4 Regular languages: The Myhill-Nerode Theorem Context-free Grammars Chomsky Normal Form Pumping Lemma for context free languages Non context-free languages: Examples Push

More information

Automata & languages. A primer on the Theory of Computation. Laurent Vanbever. ETH Zürich (D-ITET) September,

Automata & languages. A primer on the Theory of Computation. Laurent Vanbever.  ETH Zürich (D-ITET) September, Automata & languages A primer on the Theory of Computation Laurent Vanbever www.vanbever.eu ETH Zürich (D-ITET) September, 24 2015 Last week was all about Deterministic Finite Automaton We saw three main

More information

Equivalence of DFAs and NFAs

Equivalence of DFAs and NFAs CS 172: Computability and Complexity Equivalence of DFAs and NFAs It s a tie! DFA NFA Sanjit A. Seshia EECS, UC Berkeley Acknowledgments: L.von Ahn, L. Blum, M. Blum What we ll do today Prove that DFAs

More information

Compiler Design. Spring Lexical Analysis. Sample Exercises and Solutions. Prof. Pedro Diniz

Compiler Design. Spring Lexical Analysis. Sample Exercises and Solutions. Prof. Pedro Diniz Compiler Design Spring 2010 Lexical Analysis Sample Exercises and Solutions Prof. Pedro Diniz USC / Information Sciences Institute 4676 Admiralty Way, Suite 1001 Marina del Rey, California 90292 pedro@isi.edu

More information

From EBNF to PEG. Roman R. Redziejowski. Concurrency, Specification and Programming Berlin 2012

From EBNF to PEG. Roman R. Redziejowski. Concurrency, Specification and Programming Berlin 2012 Concurrency, Specification and Programming Berlin 2012 EBNF: Extended Backus-Naur Form A way to define grammar. EBNF: Extended Backus-Naur Form A way to define grammar. Literal = Decimal Binary Decimal

More information

1. Draw a parse tree for the following derivation: S C A C C A b b b b A b b b b B b b b b a A a a b b b b a b a a b b 2. Show on your parse tree u,

1. Draw a parse tree for the following derivation: S C A C C A b b b b A b b b b B b b b b a A a a b b b b a b a a b b 2. Show on your parse tree u, 1. Draw a parse tree for the following derivation: S C A C C A b b b b A b b b b B b b b b a A a a b b b b a b a a b b 2. Show on your parse tree u, v, x, y, z as per the pumping theorem. 3. Prove that

More information

MA/CSSE 474 Theory of Computation

MA/CSSE 474 Theory of Computation MA/CSSE 474 Theory of Computation Closure properties of Regular Languages Pumping Theorem Your Questions? Previous class days' material Reading Assignments HW 6 or 7 problems Anything else 1 Regular Expressions

More information

Metamorphosis of Fuzzy Regular Expressions to Fuzzy Automata using the Follow Automata

Metamorphosis of Fuzzy Regular Expressions to Fuzzy Automata using the Follow Automata Metamorphosis of Fuzzy Regular Expressions to Fuzzy Automata using the Follow Automata Rahul Kumar Singh, Ajay Kumar Thapar University Patiala Email: ajayloura@gmail.com Abstract To deal with system uncertainty,

More information

CMSC 330: Organization of Programming Languages. Theory of Regular Expressions Finite Automata

CMSC 330: Organization of Programming Languages. Theory of Regular Expressions Finite Automata : Organization of Programming Languages Theory of Regular Expressions Finite Automata Previous Course Review {s s defined} means the set of string s such that s is chosen or defined as given s A means

More information

Languages, regular languages, finite automata

Languages, regular languages, finite automata Notes on Computer Theory Last updated: January, 2018 Languages, regular languages, finite automata Content largely taken from Richards [1] and Sipser [2] 1 Languages An alphabet is a finite set of characters,

More information

Obtaining the syntactic monoid via duality

Obtaining the syntactic monoid via duality Radboud University Nijmegen MLNL Groningen May 19th, 2011 Formal languages An alphabet is a non-empty finite set of symbols. If Σ is an alphabet, then Σ denotes the set of all words over Σ. The set Σ forms

More information

COSE212: Programming Languages. Lecture 1 Inductive Definitions (1)

COSE212: Programming Languages. Lecture 1 Inductive Definitions (1) COSE212: Programming Languages Lecture 1 Inductive Definitions (1) Hakjoo Oh 2017 Fall Hakjoo Oh COSE212 2017 Fall, Lecture 1 September 4, 2017 1 / 9 Inductive Definitions Inductive definition (induction)

More information

Deterministic Finite Automata. Non deterministic finite automata. Non-Deterministic Finite Automata (NFA) Non-Deterministic Finite Automata (NFA)

Deterministic Finite Automata. Non deterministic finite automata. Non-Deterministic Finite Automata (NFA) Non-Deterministic Finite Automata (NFA) Deterministic Finite Automata Non deterministic finite automata Automata we ve been dealing with have been deterministic For every state and every alphabet symbol there is exactly one move that the machine

More information

Chomsky and Greibach Normal Forms

Chomsky and Greibach Normal Forms Chomsky and Greibach Normal Forms Teodor Rus rus@cs.uiowa.edu The University of Iowa, Department of Computer Science Computation Theory p.1/25 Simplifying a CFG It is often convenient to simplify CFG One

More information

CS 121, Section 2. Week of September 16, 2013

CS 121, Section 2. Week of September 16, 2013 CS 121, Section 2 Week of September 16, 2013 1 Concept Review 1.1 Overview In the past weeks, we have examined the finite automaton, a simple computational model with limited memory. We proved that DFAs,

More information

Formal Languages. We ll use the English language as a running example.

Formal Languages. We ll use the English language as a running example. Formal Languages We ll use the English language as a running example. Definitions. A string is a finite set of symbols, where each symbol belongs to an alphabet denoted by. Examples. The set of all strings

More information

COM364 Automata Theory Lecture Note 2 - Nondeterminism

COM364 Automata Theory Lecture Note 2 - Nondeterminism COM364 Automata Theory Lecture Note 2 - Nondeterminism Kurtuluş Küllü March 2018 The FA we saw until now were deterministic FA (DFA) in the sense that for each state and input symbol there was exactly

More information

Theory of Computation (Classroom Practice Booklet Solutions)

Theory of Computation (Classroom Practice Booklet Solutions) Theory of Computation (Classroom Practice Booklet Solutions) 1. Finite Automata & Regular Sets 01. Ans: (a) & (c) Sol: (a) The reversal of a regular set is regular as the reversal of a regular expression

More information

Lecture Notes On THEORY OF COMPUTATION MODULE -1 UNIT - 2

Lecture Notes On THEORY OF COMPUTATION MODULE -1 UNIT - 2 BIJU PATNAIK UNIVERSITY OF TECHNOLOGY, ODISHA Lecture Notes On THEORY OF COMPUTATION MODULE -1 UNIT - 2 Prepared by, Dr. Subhendu Kumar Rath, BPUT, Odisha. UNIT 2 Structure NON-DETERMINISTIC FINITE AUTOMATA

More information

REGular and Context-Free Grammars

REGular and Context-Free Grammars REGular and Context-Free Grammars Nicholas Mainardi 1 Dipartimento di Elettronica e Informazione Politecnico di Milano nicholas.mainardi@polimi.it March 26, 2018 1 Partly Based on Alessandro Barenghi s

More information

The Pumping Lemma. for all n 0, u 1 v n u 2 L (i.e. u 1 u 2 L, u 1 vu 2 L [but we knew that anyway], u 1 vvu 2 L, u 1 vvvu 2 L, etc.

The Pumping Lemma. for all n 0, u 1 v n u 2 L (i.e. u 1 u 2 L, u 1 vu 2 L [but we knew that anyway], u 1 vvu 2 L, u 1 vvvu 2 L, etc. The Pumping Lemma For every regular language L, there is a number l 1 satisfying the pumping lemma property: All w L with w l can be expressed as a concatenation of three strings, w = u 1 vu 2, where u

More information

1 More finite deterministic automata

1 More finite deterministic automata CS 125 Section #6 Finite automata October 18, 2016 1 More finite deterministic automata Exercise. Consider the following game with two players: Repeatedly flip a coin. On heads, player 1 gets a point.

More information

AC68 FINITE AUTOMATA & FORMULA LANGUAGES JUNE 2014

AC68 FINITE AUTOMATA & FORMULA LANGUAGES JUNE 2014 Q.2 a. Show by using Mathematical Induction that n i= 1 i 2 n = ( n + 1) ( 2 n + 1) 6 b. Define language. Let = {0; 1} denote an alphabet. Enumerate five elements of the following languages: (i) Even binary

More information

Languages. A language is a set of strings. String: A sequence of letters. Examples: cat, dog, house, Defined over an alphabet:

Languages. A language is a set of strings. String: A sequence of letters. Examples: cat, dog, house, Defined over an alphabet: Languages 1 Languages A language is a set of strings String: A sequence of letters Examples: cat, dog, house, Defined over an alphaet: a,, c,, z 2 Alphaets and Strings We will use small alphaets: Strings

More information

COMP4141 Theory of Computation

COMP4141 Theory of Computation COMP4141 Theory of Computation Lecture 4 Regular Languages cont. Ron van der Meyden CSE, UNSW Revision: 2013/03/14 (Credits: David Dill, Thomas Wilke, Kai Engelhardt, Peter Höfner, Rob van Glabbeek) Regular

More information

CSE 105 Homework 1 Due: Monday October 9, Instructions. should be on each page of the submission.

CSE 105 Homework 1 Due: Monday October 9, Instructions. should be on each page of the submission. CSE 5 Homework Due: Monday October 9, 7 Instructions Upload a single file to Gradescope for each group. should be on each page of the submission. All group members names and PIDs Your assignments in this

More information

Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs

Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs Harry Lewis October 8, 2013 Reading: Sipser, pp. 119-128. Pushdown Automata (review) Pushdown Automata = Finite automaton

More information

The View Over The Horizon

The View Over The Horizon The View Over The Horizon enumerable decidable context free regular Context-Free Grammars An example of a context free grammar, G 1 : A 0A1 A B B # Terminology: Each line is a substitution rule or production.

More information