Lecture 4: More on Regexps, Non-Regular Languages
|
|
- Aubrey Ward
- 5 years ago
- Views:
Transcription
1 6.045 Lecture 4: More on Regexps, Non-Regular Languages
2 6.045 Announcements: - Pset 1 is on piazza (as of last night) - If you don t have piazza access but are registered for 6.045, send to TAs with your mit.edu address!
3 Deterministic Finite Automata Computation with finite memory
4 Non-Deterministic Finite Automata Computation with finite memory and guessing
5 Regular Expressions: Computation as Description A different way of thinking about computation: What is the complexity of describing the strings in the language?
6 Syntax Inductive Definition of Regexp Let Σ be an alphabet. We define the regular expressions over Σ inductively: For all Σ, is a regexp is a regexp is a regexp If R 1 and R 2 are both regexps, then (R 1 R 2 ), (R 1 + R 2 ), and (R 1 )* are regexps Examples:, 0, (1)*, (0+1)*, ((((0)*1)*1) + (10))
7 Semantics Definition: Regexps Represent Languages The regexp Σ represents the language { } The regexp represents {} The regexp represents If R 1 and R 2 are regular expressions representing L 1 and L 2 then: (R 1 R 2 ) represents L 1 L 2 (R 1 + R 2 ) represents L 1 L 2 (R 1 )* represents L 1 * Example: (10 + 0*1) represents {10} {0 k 1 k 0}
8 Regexps Represent Languages For every regexp R, define L(R) to be the language that R represents A string w Σ* is accepted by R (or, w matches R) if w L(R) Examples: 0, 010, and match (01)* matches (0+1)*0
9 DFAs NFAs Regular Expressions! L can be represented by some regexp L is regular We saw: L can be represented by some regexp L is regular Every regexp can be converted into an NFA Now we ll show: L is regular L can be represented by some regexp Every DFA can be converted into a regexp
10 Generalized NFAs (GNFA) Idea: Transform an DFA for L into a regular expression by removing states and re-labeling the arcs connected to those states with regular expressions Rather than reading in just 0 or 1 letters from the string on an arc, we can read in entire substrings
11 Generalized NFA (GNFA) cb a*b a q 0 q 1 q 2 Accept string x there is some path of regexps R 1,, R k from start state to final such that x matches R 1 R k This GNFA recognizes L(a*b(cb)*a), the set of strings matched by a*b(cb)*a
12 DFA Add unique start and accept states Goal: Replace DFA with a single regexp R Then, L(R) = L(DFA)
13 DFA While the machine has more than 2 states: Pick an internal state, rip it out and re-label the arrows with regexps, to account for paths through the missing state a b c
14 DFA While the machine has more than 2 states: Pick an internal state, rip it out and re-label the arrows with regexps, to account for paths through the missing state ab*c
15 GNFA While the machine has more than 2 states: In general: R(q 1,q 3 ) R(q 1,q 2 ) R(q 2,q 3 ) q 1 q 2 q 3 R(q 2,q 2 )
16 GNFA While the machine has more than 2 states: In general: R(q 1,q 2 )R(q 2,q 2 )*R(q 2,q 3 ) + R(q 1,q 3 ) q 1 q 3
17 a a,b b q 0 q 1 q 2 q 3 R(q 0,q 3 ) = (a*b)(a+b)* represents L(N)
18 a,b a*b q 0 q 2 q 3 R(q 0,q 3 ) = (a*b)(a+b)* represents L(N)
19 (a*b)(a+b)* q 0 q 3 R(q 0,q 3 ) = (a*b)(a+b)* represents L(N)
20 Formally: CONVERT(G): Given a DFA, add q start and q acc to create G For all q, q, define R(q,q ) = σ σ k s.t. δ(q,σ i ) = q (Takes a GNFA, outputs a regexp) If #states = 2 return R(q start, q acc ) If #states > 2 pick q rip Q different from q start and q acc define Q = Q {q rip } define R on Q -{q acc } x Q -{q start } as: defines a new GNFA G R (q i,q j ) = R(q i,q rip )R(q rip,q rip )*R(q rip,q j ) + R(q i,q j ) return CONVERT(G ) Theorem: Let R = CONVERT(G). Then L(R) = L(G). Claim: L(G ) = L(G) [Sipser, p.73-74]
21 Theorem: Let R = CONVERT(G). Then L(R) = L(G). Proof by induction on k, the number of states in G Base Case: k = 2 CONVERT outputs R(q start, q acc ) Inductive Step: Assume theorem is true for k-1 state GNFAs Let G have k states. Let G be the k-1 state GNFA. First show that L(G) = L(G ) [Sipser, p ] G has k-1 states, so by induction, L(G ) = L(CONVERT(G )) = L(CONVERT(G)) = L(R) by I.H. Therefore L(R)=L(G). QED
22 b a q 1 b a q 2 b a q 3 Convert the DFA to a regular expression
23 b a q 1 b b a a q 2 q 3
24 bb b q 1 a a + ba b q 2
25 bb + (a + ba)b*a q 1 b + (a + ba)b* (bb + (a + ba)b*a)* (b + (a + ba)b*)
26 Convert the NFA to a regular expression q 1 a, b q 2 b a b b q 3
27 Convert the NFA to a regular expression q 1 a, b q 2 b b a b q 3
28 Convert the NFA to a regular expression q 1 a (a + b)b*b bb*b q 3
29 Convert the NFA to a regular expression q 1 (a + b)b*b(bb*b)* (a + b)b*b(bb*b)*a ((a + b)b*b(bb*b)*a)*( + (a + b)b*b(bb*b)*)
30 DFAs NFAs DEFINITION GNFAs Regular Languages Regular Expressions
31 Some Languages Are Not Regular: Limitations on DFAs/NFAs a.k.a. Lower Bounds on DFAs/NFAs
32 Σ = {0,1} Regular or Not? C = { w w has equal number of 1s and 0s} NOT REGULAR! D = { w w has equal number of occurrences of 01 and 10 } REGULAR!
33 Σ = {0,1} D = { w w has equal number of occurrences of 01 and 10} = { w w = 1, w = 0, or w =, or w starts with a 0 and ends with a 0, or w starts with a 1 and ends with a 1 } (0+1)*0 + 1(0+1)*1 Claim: A string w has equal occurrences of 01 and 10 w starts and ends with the same bit.
34 A Language That Has No DFA Theorem: A = {0 n 1 n n 0} is not regular Proof Idea: No DFA can remember the number of 0 s, if we feed it more 0 s than its number of states. In that case, the DFA can t accurately compare the number of 0 s to the number of 1s!
35 A Language That Has No DFA Theorem: A = {0 n 1 n n 0} is not regular Proof: By contradiction. Assume A is regular. Then A has a DFA D with P states, for some P > 0. Consider feeding input w = 0 P+1 to D. By pigeonhole principle, some state q of D is visited more than once while reading in w. Therefore, D is in state q after reading 0 S, and is also in q after reading 0 R, for some R < S P+1. What happens when D reads 1 S starting from state q? D must accept, because 0 S 1 S in A. D must reject, because 0 R 1 S is not in A. Contradiction!
36 Another Language That Has No DFA Thm: EQ = {w w has an equal number of 0s and 1s} is not regular Proof: By contradiction. Assume EQ is regular. Observation: EQ L(0*1*) = {0 n 1 n n 0} EQ is regular and L(0*1*) is regular EQ L(0*1*) is regular. (Regular Languages are closed under intersection!) But {0 n 1 n n 0} is not regular! Contradiction!
37 The Pumping Lemma: Structure in Regular Languages Let L be any regular language There is a positive integer P s.t. for all strings w L with w P there are x, y, z where w = xyz, and: 1. y > 0 (that is, y ) 2. xy P 3. xz L and xyyz L (in fact, xy yz L) Why is it called the pumping lemma? The word xyz can be pumped into a longer string xyyz
38 Proof: Let M be a DFA that recognizes L Let P be the number of states in M Let w be a string where w L and w P We show: w = xyz y 1. y > 0 2. xy P 3. xz L and xyyz L x w z q 0 q j q k q w Claim: There must exist j and k such that 0 j < k P, and q j = q k
39 Proving a Language is NOT Regular Let L be any language. Suppose for every integer P there is a w L with w P so that for all ways to write w = xyz, where: 1. y > 0 (that is, y ) 2. xy P Either xz L or xyyz L THEN L is not regular!
40 Applying the Pumping Lemma Theorem: EQ = { w w has equal number of 1s and 0s} is not regular. By contradiction. Assume EQ is regular. Let P be as in pumping lemma. Let w = 0 P 1 P and note that w EQ. If EQ is regular, then there is a way to write w as w = xyz, y > 0, xy P, and xyyz, xz is also in EQ Claim: The string y must be all zeroes. Why? Because xy P and w = xyz = 0 P 1 P But then xyyz has more 0s than 1s! Contradiction!
41 Applying the Pumping Lemma Let s prove that SQ = {0 n2 n 0} is not regular Assume SQ is regular. Let w = 0 P2 If SQ is regular, then we can write w = xyz, y > 0, xy P, such that xz and xyyz are also in SQ We have: xyyz = 0 P2 + y Observe that 0 < y P So xyyz = P 2 + y P 2 + P < P 2 + 2P + 1 = (P+1) 2 and P 2 < xyyz < (P+1) 2 Therefore xyyz is not a perfect square! Hence 0 P2 + y = xyyz SQ, so our assumption must be false. That is, SQ is not regular!
CS 154. Finite Automata vs Regular Expressions, Non-Regular Languages
CS 154 Finite Automata vs Regular Expressions, Non-Regular Languages Deterministic Finite Automata Computation with finite memory Non-Deterministic Finite Automata Computation with finite memory and guessing
More informationFORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY
15-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY THE PUMPING LEMMA FOR REGULAR LANGUAGES and REGULAR EXPRESSIONS TUESDAY Jan 21 WHICH OF THESE ARE REGULAR? B = {0 n 1 n n 0} C = { w w has equal number
More informationIntro to Theory of Computation
Intro to Theory of Computation 1/26/2016 LECTURE 5 Last time: Closure properties. Equivalence of NFAs, DFAs and regular expressions Today: Conversion from NFAs to regular expressions Proving that a language
More informationCS 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 informationWhat 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 informationFORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY. FLAC (15-453) - Spring L. Blum
15-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY THE PUMPING LEMMA FOR REGULAR LANGUAGES nd REGULAR EXPRESSIONS TUESDAY Jn 21 WHICH OF THESE ARE REGULAR? B = {0 n 1 n n 0} C = { w w hs equl numer of
More informationIncorrect reasoning about RL. Equivalence of NFA, DFA. Epsilon Closure. Proving equivalence. One direction is easy:
Incorrect reasoning about RL Since L 1 = {w w=a n, n N}, L 2 = {w w = b n, n N} are regular, therefore L 1 L 2 = {w w=a n b n, n N} is regular If L 1 is a regular language, then L 2 = {w R w L 1 } is regular,
More informationFORMAL 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 informationComputational Models - Lecture 3
Slides modified by Benny Chor, based on original slides by Maurice Herlihy, Brown University. p. 1 Computational Models - Lecture 3 Equivalence of regular expressions and regular languages (lukewarm leftover
More informationProving languages to be nonregular
Proving languages to be nonregular We already know that there exist languages A Σ that are nonregular, for any choice of an alphabet Σ. This is because there are uncountably many languages in total and
More informationTDDD65 Introduction to the Theory of Computation
TDDD65 Introduction to the Theory of Computation Lecture 2 Gustav Nordh, IDA gustav.nordh@liu.se 2012-08-31 Outline - Lecture 2 Closure properties of regular languages Regular expressions Equivalence of
More informationCS 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 informationTheory of Computation (II) Yijia Chen Fudan University
Theory of Computation (II) Yijia Chen Fudan University Review A language L is a subset of strings over an alphabet Σ. Our goal is to identify those languages that can be recognized by one of the simplest
More informationCSE 105 THEORY OF COMPUTATION
CSE 105 THEORY OF COMPUTATION "Winter" 2018 http://cseweb.ucsd.edu/classes/wi18/cse105-ab/ Today's learning goals Sipser Section 1.4 Explain the limits of the class of regular languages Justify why the
More informationSeptember 11, Second Part of Regular Expressions Equivalence with Finite Aut
Second Part of Regular Expressions Equivalence with Finite Automata September 11, 2013 Lemma 1.60 If a language is regular then it is specified by a regular expression Proof idea: For a given regular language
More informationComputational 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 informationComputational 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 informationFinite Automata and Regular languages
Finite Automata and Regular languages Huan Long Shanghai Jiao Tong University Acknowledgements Part of the slides comes from a similar course in Fudan University given by Prof. Yijia Chen. http://basics.sjtu.edu.cn/
More informationCS154. Non-Regular Languages, Minimizing DFAs
CS54 Non-Regular Languages, Minimizing FAs CS54 Homework is due! Homework 2 will appear this afternoon 2 The Pumping Lemma: Structure in Regular Languages Let L be a regular language Then there is a positive
More informationCS 154, Lecture 4: Limitations on DFAs (I), Pumping Lemma, Minimizing DFAs
CS 154, Lecture 4: Limitations on FAs (I), Pumping Lemma, Minimizing FAs Regular or Not? Non-Regular Languages = { w w has equal number of occurrences of 01 and 10 } REGULAR! C = { w w has equal number
More informationacs-04: Regular Languages Regular Languages Andreas Karwath & Malte Helmert Informatik Theorie II (A) WS2009/10
Regular Languages Andreas Karwath & Malte Helmert 1 Overview Deterministic finite automata Regular languages Nondeterministic finite automata Closure operations Regular expressions Nonregular languages
More informationCOMP4141 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 informationCS 530: Theory of Computation Based on Sipser (second edition): Notes on regular languages(version 1.1)
CS 530: Theory of Computation Based on Sipser (second edition): Notes on regular languages(version 1.1) Definition 1 (Alphabet) A alphabet is a finite set of objects called symbols. Definition 2 (String)
More informationComputational Models: Class 3
Computational Models: Class 3 Benny Chor School of Computer Science Tel Aviv University November 2, 2015 Based on slides by Maurice Herlihy, Brown University, and modifications by Iftach Haitner and Yishay
More informationUnit 6. Non Regular Languages The Pumping Lemma. Reading: Sipser, chapter 1
Unit 6 Non Regular Languages The Pumping Lemma Reading: Sipser, chapter 1 1 Are all languages regular? No! Most of the languages are not regular! Why? A finite automaton has limited memory. How can we
More informationLecture 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 informationCS5371 Theory of Computation. Lecture 5: Automata Theory III (Non-regular Language, Pumping Lemma, Regular Expression)
CS5371 Theory of Computation Lecture 5: Automata Theory III (Non-regular Language, Pumping Lemma, Regular Expression) Objectives Prove the Pumping Lemma, and use it to show that there are non-regular languages
More informationComputer Sciences Department
1 Reference Book: INTRODUCTION TO THE THEORY OF COMPUTATION, SECOND EDITION, by: MICHAEL SIPSER 3 objectives Finite automaton Infinite automaton Formal definition State diagram Regular and Non-regular
More informationFORMAL LANGUAGES, AUTOMATA AND COMPUTATION
FORMAL LANGUAGES, AUTOMATA AND COMPUTATION IDENTIFYING NONREGULAR LANGUAGES PUMPING LEMMA Carnegie Mellon University in Qatar (CARNEGIE MELLON UNIVERSITY IN QATAR) SLIDES FOR 15-453 LECTURE 5 SPRING 2011
More informationCSE 105 Theory of Computation Professor Jeanne Ferrante
CSE 105 Theory of Computation http://www.jflap.org/jflaptmp/ Professor Jeanne Ferrante 1 Announcement & Reminders HW 2: Grades not available yet, will be soon Solutions posted, read even if you did well
More informationAutomata 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 informationLecture 5: Minimizing DFAs
6.45 Lecture 5: Minimizing DFAs 6.45 Announcements: - Pset 2 is up (as of last night) - Dylan says: It s fire. - How was Pset? 2 DFAs NFAs DEFINITION Regular Languages Regular Expressions 3 4 Some Languages
More informationfront pad rear pad door
front pad rear pad door REAR BOTH NEITHER closed FRONT open FRONT REAR BOTH NEITHER Think of this as a simple program that outputs one of two values (states) when provided with the current state and an
More informationExam 1 CSU 390 Theory of Computation Fall 2007
Exam 1 CSU 390 Theory of Computation Fall 2007 Solutions Problem 1 [10 points] Construct a state transition diagram for a DFA that recognizes the following language over the alphabet Σ = {a, b}: L 1 =
More informationLanguages, 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 informationCISC 4090: Theory of Computation Chapter 1 Regular Languages. Section 1.1: Finite Automata. What is a computer? Finite automata
CISC 4090: Theory of Computation Chapter Regular Languages Xiaolan Zhang, adapted from slides by Prof. Werschulz Section.: Finite Automata Fordham University Department of Computer and Information Sciences
More informationCS 154 NOTES CONTENTS
CS 154 NOTES ARUN DEBRAY MARCH 13, 2014 These notes were taken in Stanford s CS 154 class in Winter 2014, taught by Ryan Williams, by Arun Debray. They were updated in 2016. Error and typo notices can
More informationCSE 105 THEORY OF COMPUTATION
CSE 105 THEORY OF COMPUTATION Spring 2017 http://cseweb.ucsd.edu/classes/sp17/cse105-ab/ Today's learning goals Sipser Ch 1.4 Explain the limits of the class of regular languages Justify why the Pumping
More informationCSE 105 THEORY OF COMPUTATION
CSE 105 THEORY OF COMPUTATION "Winter" 2018 http://cseweb.ucsd.edu/classes/wi18/cse105-ab/ Today's learning goals Sipser Section 1.1 Design an automaton that recognizes a given language. Specify each of
More informationNondeterminism. September 7, Nondeterminism
September 7, 204 Introduction is a useful concept that has a great impact on the theory of computation Introduction is a useful concept that has a great impact on the theory of computation So far in our
More informationCS:4330 Theory of Computation Spring Regular Languages. Equivalences between Finite automata and REs. Haniel Barbosa
CS:4330 Theory of Computtion Spring 208 Regulr Lnguges Equivlences between Finite utomt nd REs Hniel Brbos Redings for this lecture Chpter of [Sipser 996], 3rd edition. Section.3. Finite utomt nd regulr
More informationCS 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 informationCSE 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 1.4 Give an example of a non-regular language Outline two strategies for proving
More informationHKN CS/ECE 374 Midterm 1 Review. Nathan Bleier and Mahir Morshed
HKN CS/ECE 374 Midterm 1 Review Nathan Bleier and Mahir Morshed For the most part, all about strings! String induction (to some extent) Regular languages Regular expressions (regexps) Deterministic finite
More informationFORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY
5-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY NON-DETERMINISM and REGULAR OPERATIONS THURSDAY JAN 6 UNION THEOREM The union of two regular languages is also a regular language Regular Languages Are
More informationComputational Models Lecture 2 1
Computational Models Lecture 2 1 Handout Mode Iftach Haitner. Tel Aviv University. October 30, 2017 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice Herlihy, Brown University.
More informationThe Pumping Lemma and Closure Properties
The Pumping Lemma and Closure Properties Mridul Aanjaneya Stanford University July 5, 2012 Mridul Aanjaneya Automata Theory 1/ 27 Tentative Schedule HW #1: Out (07/03), Due (07/11) HW #2: Out (07/10),
More informationAutomata: a short introduction
ILIAS, University of Luxembourg Discrete Mathematics II May 2012 What is a computer? Real computers are complicated; We abstract up to an essential model of computation; We begin with the simplest possible
More informationComputational Models Lecture 2 1
Computational Models Lecture 2 1 Handout Mode Ronitt Rubinfeld and Iftach Haitner. Tel Aviv University. March 16/18, 2015 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice
More informationChapter 5. Finite Automata
Chapter 5 Finite Automata 5.1 Finite State Automata Capable of recognizing numerous symbol patterns, the class of regular languages Suitable for pattern-recognition type applications, such as the lexical
More informationFoundations of (Theoretical) Computer Science
91.304 Foundations of (Theoretical) Computer Science Chapter 1 Lecture Notes (Section 1.4: Nonregular Languages) David Martin dm@cs.uml.edu With some modifications by Prof. Karen Daniels, Fall 2014 This
More informationAutomata & 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, 28 2017 Part 2 out of 5 Last week was all about Deterministic Finite Automaton
More informationPS2 - Comments. University of Virginia - cs3102: Theory of Computation Spring 2010
University of Virginia - cs3102: Theory of Computation Spring 2010 PS2 - Comments Average: 77.4 (full credit for each question is 100 points) Distribution (of 54 submissions): 90, 12; 80 89, 11; 70-79,
More informationTheory of Computation p.1/?? Theory of Computation p.2/?? Unknown: Implicitly a Boolean variable: true if a word is
Abstraction of Problems Data: abstracted as a word in a given alphabet. Σ: alphabet, a finite, non-empty set of symbols. Σ : all the words of finite length built up using Σ: Conditions: abstracted as a
More informationPart 4 out of 5 DFA NFA REX. Automata & languages. A primer on the Theory of Computation. Last week, we showed the equivalence of DFA, NFA and REX
Automata & languages A primer on the Theory of Computation Laurent Vanbever www.vanbever.eu Part 4 out of 5 ETH Zürich (D-ITET) October, 12 2017 Last week, we showed the equivalence of DFA, NFA and REX
More informationFoundations of
91.304 Foundations of (Theoretical) Computer Science Chapter 1 Lecture Notes (Section 1.3: Regular Expressions) David Martin dm@cs.uml.edu d with some modifications by Prof. Karen Daniels, Spring 2012
More informationExamples of Regular Expressions. Finite Automata vs. Regular Expressions. Example of Using flex. Application
Examples of Regular Expressions 1. 0 10, L(0 10 ) = {w w contains exactly a single 1} 2. Σ 1Σ, L(Σ 1Σ ) = {w w contains at least one 1} 3. Σ 001Σ, L(Σ 001Σ ) = {w w contains the string 001 as a substring}
More informationCS 154 Introduction to Automata and Complexity Theory
CS 154 Introduction to Automata and Complexity Theory cs154.stanford.edu 1 INSTRUCTORS & TAs Ryan Williams Cody Murray Lera Nikolaenko Sunny Rajan 2 Textbook 3 Homework / Problem Sets Homework will be
More informationName: Student ID: Instructions:
Instructions: Name: CSE 322 Autumn 2001: Midterm Exam (closed book, closed notes except for 1-page summary) Total: 100 points, 5 questions, 20 points each. Time: 50 minutes 1. Write your name and student
More informationCS375 Midterm Exam Solution Set (Fall 2017)
CS375 Midterm Exam Solution Set (Fall 2017) Closed book & closed notes October 17, 2017 Name sample 1. (10 points) (a) Put in the following blank the number of strings of length 5 over A={a, b, c} that
More informationBefore 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 informationHarvard CS 121 and CSCI E-207 Lecture 6: Regular Languages and Countability
Harvard CS 121 and CSCI E-207 Lecture 6: Regular Languages and Countability Salil Vadhan September 20, 2012 Reading: Sipser, 1.3 and The Diagonalization Method, pages 174 178 (from just before Definition
More information10. The GNFA method is used to show that
CSE 355 Midterm Examination 27 February 27 Last Name Sample ASU ID First Name(s) Ima Exam # Sample Regrading of Midterms If you believe that your grade has not been recorded correctly, return the entire
More informationFinite 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 informationCSci 311, Models of Computation Chapter 4 Properties of Regular Languages
CSci 311, Models of Computation Chapter 4 Properties of Regular Languages H. Conrad Cunningham 29 December 2015 Contents Introduction................................. 1 4.1 Closure Properties of Regular
More informationUses of finite automata
Chapter 2 :Finite Automata 2.1 Finite Automata Automata are computational devices to solve language recognition problems. Language recognition problem is to determine whether a word belongs to a language.
More informationAutomata & languages. A primer on the Theory of Computation. Laurent Vanbever. ETH Zürich (D-ITET) October,
Automata & languages A primer on the Theory of Computation Laurent Vanbever www.vanbever.eu ETH Zürich (D-ITET) October, 5 2017 Part 3 out of 5 Last week, we learned about closure and equivalence of regular
More informationPart 3 out of 5. Automata & languages. A primer on the Theory of Computation. Last week, we learned about closure and equivalence of regular languages
Automata & languages A primer on the Theory of Computation Laurent Vanbever www.vanbever.eu Part 3 out of 5 ETH Zürich (D-ITET) October, 5 2017 Last week, we learned about closure and equivalence of regular
More informationFormal Languages, Automata and Models of Computation
CDT314 FABER Formal Languages, Automata and Models of Computation Lecture 5 School of Innovation, Design and Engineering Mälardalen University 2011 1 Content - More Properties of Regular Languages (RL)
More informationProperties 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 informationOutline. CS21 Decidability and Tractability. Regular expressions and FA. Regular expressions and FA. Regular expressions and FA
Outline CS21 Decidability and Tractability Lecture 4 January 14, 2019 FA and Regular Exressions Non-regular languages: Puming Lemma Pushdown Automata Context-Free Grammars and Languages January 14, 2019
More informationGEETANJALI INSTITUTE OF TECHNICAL STUDIES, UDAIPUR I
GEETANJALI INSTITUTE OF TECHNICAL STUDIES, UDAIPUR I Internal Examination 2017-18 B.Tech III Year VI Semester Sub: Theory of Computation (6CS3A) Time: 1 Hour 30 min. Max Marks: 40 Note: Attempt all three
More informationSri 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 informationRegular 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 informationUNIT-III REGULAR LANGUAGES
Syllabus R9 Regulation REGULAR EXPRESSIONS UNIT-III REGULAR LANGUAGES Regular expressions are useful for representing certain sets of strings in an algebraic fashion. In arithmetic we can use the operations
More informationComputational 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 informationFooling Sets and. Lecture 5
Fooling Sets and Introduction to Nondeterministic Finite Automata Lecture 5 Proving that a language is not regular Given a language, we saw how to prove it is regular (union, intersection, concatenation,
More informationCSE 105 Theory of Computation Professor Jeanne Ferrante
CSE 105 Theory of Computation http://www.jflap.org/jflaptmp/ Professor Jeanne Ferrante 1 Today s agenda NFA Review and Design NFA s Equivalence to DFA s Another Closure Property proof for Regular Languages
More informationFinite 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 informationCSC236 Week 10. Larry Zhang
CSC236 Week 10 Larry Zhang 1 Today s Topic Deterministic Finite Automata (DFA) 2 Recap of last week We learned a lot of terminologies alphabet string length of string union concatenation Kleene star language
More informationApplied Computer Science II Chapter 1 : Regular Languages
Applied Computer Science II Chapter 1 : Regular Languages Prof. Dr. Luc De Raedt Institut für Informatik Albert-Ludwigs Universität Freiburg Germany Overview Deterministic finite automata Regular languages
More informationAutomata and Computability. Solutions to Exercises
Automata and Computability Solutions to Exercises Spring 27 Alexis Maciel Department of Computer Science Clarkson University Copyright c 27 Alexis Maciel ii Contents Preface vii Introduction 2 Finite Automata
More informationRegular 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 informationComputational Models - Lecture 3 1
Computational Models - Lecture 3 1 Handout Mode Iftach Haitner. Tel Aviv University. November 14, 2016 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice Herlihy, Brown University.
More informationAutomata and Computability. Solutions to Exercises
Automata and Computability Solutions to Exercises Fall 28 Alexis Maciel Department of Computer Science Clarkson University Copyright c 28 Alexis Maciel ii Contents Preface vii Introduction 2 Finite Automata
More informationCSE 135: Introduction to Theory of Computation Nondeterministic Finite Automata (cont )
CSE 135: Introduction to Theory of Computation Nondeterministic Finite Automata (cont ) Sungjin Im University of California, Merced 2-3-214 Example II A ɛ B ɛ D F C E Example II A ɛ B ɛ D F C E NFA accepting
More informationTheory of Computation (I) Yijia Chen Fudan University
Theory of Computation (I) Yijia Chen Fudan University Instructor Yijia Chen Homepage: http://basics.sjtu.edu.cn/~chen Email: yijiachen@fudan.edu.cn Textbook Introduction to the Theory of Computation Michael
More informationFinite Automata. BİL405 - Automata Theory and Formal Languages 1
Finite Automata BİL405 - Automata Theory and Formal Languages 1 Deterministic Finite Automata (DFA) A Deterministic Finite Automata (DFA) is a quintuple A = (Q,,, q 0, F) 1. Q is a finite set of states
More informationCSE 311: Foundations of Computing. Lecture 23: Finite State Machine Minimization & NFAs
CSE : Foundations of Computing Lecture : Finite State Machine Minimization & NFAs State Minimization Many different FSMs (DFAs) for the same problem Take a given FSM and try to reduce its state set by
More informationFall 1999 Formal Language Theory Dr. R. Boyer. 1. There are other methods of nding a regular expression equivalent to a nite automaton in
Fall 1999 Formal Language Theory Dr. R. Boyer Week Four: Regular Languages; Pumping Lemma 1. There are other methods of nding a regular expression equivalent to a nite automaton in addition to the ones
More informationCSCE 551 Final Exam, Spring 2004 Answer Key
CSCE 551 Final Exam, Spring 2004 Answer Key 1. (10 points) Using any method you like (including intuition), give the unique minimal DFA equivalent to the following NFA: 0 1 2 0 5 1 3 4 If your answer is
More informationCSE 105 THEORY OF COMPUTATION
CSE 105 THEORY OF COMPUTATION "Winter" 2018 http://cseweb.ucsd.edu/classes/wi18/cse105-ab/ Today's learning goals Sipser Section 1.1 Determine if a language is regular Apply closure properties to conclude
More informationPlease give details of your calculation. A direct answer without explanation is not counted.
Please give details of your calculation. A direct answer without explanation is not counted. Your answers must be in English. Please carefully read problem statements. During the exam you are not allowed
More informationChapter 6. Properties of Regular Languages
Chapter 6 Properties of Regular Languages Regular Sets and Languages Claim(1). The family of languages accepted by FSAs consists of precisely the regular sets over a given alphabet. Every regular set is
More informationCpSc 421 Final Exam December 15, 2006
CpSc 421 Final Exam December 15, 2006 Do problem zero and six of problems 1 through 9. If you write down solutions for more that six problems, clearly indicate those that you want graded. Note that problems
More information2017/08/29 Chapter 1.2 in Sipser Ø Announcement:
Nondeterministic Human-aware Finite Robo.cs Automata 2017/08/29 Chapter 1.2 in Sipser Ø Announcement: q Piazza registration: http://piazza.com/asu/fall2017/cse355 q First poll will be posted on Piazza
More informationClosure Properties of Regular Languages. Union, Intersection, Difference, Concatenation, Kleene Closure, Reversal, Homomorphism, Inverse Homomorphism
Closure Properties of Regular Languages Union, Intersection, Difference, Concatenation, Kleene Closure, Reversal, Homomorphism, Inverse Homomorphism Closure Properties Recall a closure property is a statement
More informationTheory of Computation
Theory of Computation Dr. Sarmad Abbasi Dr. Sarmad Abbasi () Theory of Computation / Lecture 3: Overview Decidability of Logical Theories Presburger arithmetic Decidability of Presburger Arithmetic Dr.
More informationMinimization of DFAs
CS 72: Computability and Complexity Minimization of DFAs Sanjit A. Seshia EECS, UC Berkeley Acknowledgments: L.von Ahn, L. Blum, M. Blum, A. Sinclair What is Minimization? Minimized DFA for language L
More informationContext 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