CS 275 Automata and Formal Language Theory. Proof of Lemma II Lemma (II )

Size: px
Start display at page:

Download "CS 275 Automata and Formal Language Theory. Proof of Lemma II Lemma (II )"

Transcription

1 CS 275 Automata and Formal Language Theory Course Notes Part II: The Recognition Problem (II) Additional Material (This material is no longer taught and not exam relevant) Sect II.2.: Basics of Regular Languages and Expressions Anton Setzer (Based on a book draft by J. V. Tucker and K. Stephenson) Dept. of Computer Science, Swansea University csetzer/lectures/ automataformallanguage/current/index.html April 19, 2018 CS 275 Sect. II.2. (Additional Material) 1/ 24 CS 275 Sect. II.2. (Additional Material) 2/ 24 Proof of Lemma II Lemma (II ) 1. Assume a grammar G which has only productions of the form A Bw or A w for some w T, A, B N. Then L(G) = L(G ) for some left-linear grammar G, which can be computed from G. 2. Assume a grammar G which has only productions of the form A wb or A w for some w T, A, B N. Then L(G) = L(G ) for some right-linear grammar G, which can be computed from G. CS 275 Sect. II / 24 CS 275 Sect. II / 24

2 Proof Step 1 End of Proof of II Let G be the result of applying Step 1 to the grammar as described in the lecture. Then one can easily see that for w T S G w iff S G w We have now obtained a grammar which doesn t contain productions of the form A B for nonterminals A, B. silent The following lemma shows that such languages are definable by left-linear or right-linear grammars. CS 275 Sect. II / 24 Proof of Lemma II CS 275 Sect. II / 24 Proof of Lemma II Lemma (II ) 1. Assume a grammar G which has only productions of the form A Bw or A w for some w T +, w T, A, B N. Then L(G) = L(G ) for some left-linear grammar G, and G can effectivly computed from G. 2. Assume a grammar G which has only productions of the form In (2) replace Productions A a1 a 2 a n B with n 2 by A a 1 A 1, A 1 a 2 A 2,..., A n 1 a n B for some new nonterminals A i. Productions A a1 a 2 a n with n 2 by A a 1 A 1, A 1 a 2 A 2,..., A n 1 a n for some new nonterminals A i. (1) is proved similarly. A wb or A w for some w T +, w T, A, B N. Then L(G) = L(G ) for some right-linear grammar G, and G can effectivly computed from G. CS 275 Sect. II / 24 CS 275 Sect. II / 24

3 Derivations in Regular Grammars Theorem (a) Let G = (N, T, S, P) be a left-linear grammar, A N, w (N T ), A w. Then the derivation of A w is Derivations in Regular Grammars Theorem (b) Let G = (N, T, S, P) be a right-linear grammar, A N, w (N T ), A w. Then the derivation of A w is A A 1 a 1 A 2 a 2 a 1 A n a n a 2 a 1 = w (1) or A A 1 a 1 A 2 a 2 a 1 A n a n a 2 a 1 (2) a n+1 a n a 2 a 1 = w or A A 1 a 1 A 2 a 2 a 1 A n a n a 2 a 1 a n a 2 a 1 = w (3) or or A a 1 A 1 a 1 a 2 A 2 a 1 a 2 a n A n = w (1) A a 1 A 1 a 1 a 2 A 2 a 1 a 2 a n A n (2) a 1 a 2 a n a n+1 = w A a 1 A 1 a 1 a 2 A 2 a 1 a 2 a n A n (3) a 1 a 2 a n = w for productions A i A i+1 a i+1 (in (1) (3)), A n a n+1 (in (2)) A n ɛ (in (3)) CS 275 Sect. II / 24 for productions A i a i+1 A i+1 (in (1) - (3)) A n a n+1 (in (2)) A n ɛ (in (3)). CS 275 Sect. II / 24 Proof The above are the only derivations possible. CS 275 Sect. II / 24 CS 275 Sect. II / 24

4 Proof of Lemma II Proof of Lemma II Lemma (II ) Let G, G be both left-linear grammars or both right-linear grammars. Then we can define a left-linear or right-linear grammars G i s.t. 1. L(G 1 ) = L(G) L(G ), 2. L(G 2 ) = L(G).L(G ), 3. L(G 3 ) = L(G). These grammars can be computed from G and G. Assume in 1./2./3. G = (T, N, S, P), G = (T, N, S, P ). After renaming of nonterminals we can assume N N =. Let S be a new symbol not in N N T T. We define multi-step left/right-linear grammars with those properties, from which one can construct ordinary (one-step) left/right-linear grammars with those properties. We only carry out the proof for right-linear grammars. Proof of 1. CS 275 Sect. II / 24 We define G 1 as follows: grammar G 1 terminals T T nonterminals N N {S } start symbol S productions S S S S P P CS 275 Sect. II / 24 Proof of 1. CS 275 Sect. II / 24 So G 1 has the productions from G and G plus Derivations in G 1 have the form and for derivations and S S and S S. S S w S S w S G w S G w So for w (T T ) we have S G 1 w iff S G w or S G w, so L(G ) = L(G) L(G ). CS 275 Sect. II / 24

5 Proof of 2. Proof of 2. We define G 2 as follows: grammar G 2 terminals T T nonterminals N N start symbol S productions A aa for A aa P (A, A N, a T ) A as for A a P (A N, a T ) P So G 2 has the productions from G, the productions of the form A aa from G and productions A as, if A a is a production from G. A derivation in G 2 starts with a derivation S a 1 A 1 a 1 a 2 A 2 a 1 a 2 a 3 A 3 a 1 a 2 a n 1 A n 1 a 1 a 2 a n S for derivations in G of the form S a 1 A 1 a 1 a 2 A 2 a 1 a 2 a 3 A 3 a 1 a 2 a n 1 A n 1 a 1 a 2 a n. Proof of 2. CS 275 Sect. II / 24 Proof of 3. CS 275 Sect. II / 24 Then this is followed by a derivation a 1 a 2 a n S a 1 a 2 a n b 1 B 1 a 1 a 2 a n b 1 b 2 B 2 a 1 a 2 a n b 1 b 2 b m 1 B m 1 a 1 a 2 a n b 1 b 2 b m, We define G 3 as follows: grammar G 3 terminals T for a derivation in G of the form S b 1 B 1 b 1 b 2 B 2 b 1 b 2 b m 1 B m 1 b 1 b 2 b m nonterminals start symbol N S Therefore S G 2 w for some w (T T ) if and only if S G 1 w and S G 2 w for some w, w s.t. w = ww. So L(G 2 ) = L(G).L(G ). productions S ɛ, A aa for A aa P (A, A N, a T ) A as for A a P (A N, a T ) CS 275 Sect. II / 24 CS 275 Sect. II / 24

6 Proof of 3. Derivations in G 3 are S ɛ or they start similarly as for concatenation with S ws for a derivation in G S w and w N +. In the latter case it can continue either (using S ɛ) with ws w or with ws ww S for a derivation in G S w Again in the latter case we can continue (using S ɛ) with ww S ww or with ww S ww w S for a derivation in G etc. S w CS 275 Sect. II / 24 Proof of Lemma II Proof of 3. We obtain that in G 3 we have if there exist derivations in G of S w 1 S w 2 S w n s.t. w = w 1 w 2 w n. So we get S w L(G 3 ) = {w 1 w 2 w n n 0, w 1,..., w n L(G)} = L(G) CS 275 Sect. II / 24 Proof of Lemma II Lemma (II ) Let E be a regular Expression. Then there exist both left-linear and right-linear grammars G, G s.t. G and G can be computed from L. L(E) = L(G) = L(G ) Proof: By Lemma II.2.2.1, and the fact that the finite languages, {ɛ} and {a} are regular. Induction on the definition of regular expressions. Case 1: L =, ɛ, a (where a T ). Then L is finite, therefore definable by a left/right-linear grammar. Case 2: L = (L 1 ) (L 2 ) or L = (L 1 )(L 2 ) or L = (L 1 ). By IH L i are defined by left/right-linear grammars G i. By Lemma II it follows that L can be defioned by a left/right-linear grammar. CS 275 Sect. II / 24 CS 275 Sect. II / 24

CS 275 Automata and Formal Language Theory. Proof of Lemma II Lemma (II )

CS 275 Automata and Formal Language Theory. Proof of Lemma II Lemma (II ) CS 275 Automata and Formal Language Theory Course Notes Part II: The Recognition Problem (II) Additional Material Sect II.2.: Basics of Regular Languages and Expressions Anton Setzer (Based on a book draft

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

CS 275 Automata and Formal Language Theory. Disclaimer. Course Notes Part II: The Recognition Problem (II) Chapter II.1: The Chomsky Hierarchy (12.

CS 275 Automata and Formal Language Theory. Disclaimer. Course Notes Part II: The Recognition Problem (II) Chapter II.1: The Chomsky Hierarchy (12. C 275 Automata and Formal Language Theory Course Notes Part II: The Recognition Problem (II) Chapter II.1: The Chomsky Hierarchy (12.1) Anton etzer (Based on a book draft by J. V. Tucker and K. tephenson)

More information

Computational Models - Lecture 4 1

Computational Models - Lecture 4 1 Computational Models - Lecture 4 1 Handout Mode Iftach Haitner. Tel Aviv University. November 21, 2016 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice Herlihy, Brown University.

More information

Properties of Context-Free Languages

Properties of Context-Free Languages Properties of Context-Free Languages Seungjin Choi Department of Computer Science and Engineering Pohang University of Science and Technology 77 Cheongam-ro, Nam-gu, Pohang 37673, Korea seungjin@postech.ac.kr

More information

NPDA, CFG equivalence

NPDA, CFG equivalence NPDA, CFG equivalence Theorem A language L is recognized by a NPDA iff L is described by a CFG. Must prove two directions: ( ) L is recognized by a NPDA implies L is described by a CFG. ( ) L is described

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 III: Limits of Computation Chapter III.1: Introduction Anton Setzer http://www.cs.swan.ac.uk/ csetzer/lectures/ automataformallanguage/current/index.html

More information

Finite Automata and Formal Languages TMV026/DIT321 LP Useful, Useless, Generating and Reachable Symbols

Finite Automata and Formal Languages TMV026/DIT321 LP Useful, Useless, Generating and Reachable Symbols Finite Automata and Formal Languages TMV026/DIT321 LP4 2012 Lecture 13 Ana Bove May 7th 2012 Overview of today s lecture: Normal Forms for Context-Free Languages Pumping Lemma for Context-Free Languages

More information

Computational Models - Lecture 4 1

Computational Models - Lecture 4 1 Computational Models - Lecture 4 1 Handout Mode Iftach Haitner and Yishay Mansour. Tel Aviv University. April 3/8, 2013 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice

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

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

CS 275 Automata and Formal Language Theory

CS 275 Automata and Formal Language Theory CS 275 Automata and Formal Language Theory Course Notes Part III: Limits of Computation Chapt. III.1: Introduction Anton Setzer http://www.cs.swan.ac.uk/ csetzer/lectures/ automataformallanguage/current/index.html

More information

Problem Session 5 (CFGs) Talk about the building blocks of CFGs: S 0S 1S ε - everything. S 0S0 1S1 A - waw R. S 0S0 0S1 1S0 1S1 A - xay, where x = y.

Problem Session 5 (CFGs) Talk about the building blocks of CFGs: S 0S 1S ε - everything. S 0S0 1S1 A - waw R. S 0S0 0S1 1S0 1S1 A - xay, where x = y. CSE2001, Fall 2006 1 Problem Session 5 (CFGs) Talk about the building blocks of CFGs: S 0S 1S ε - everything. S 0S0 1S1 A - waw R. S 0S0 0S1 1S0 1S1 A - xay, where x = y. S 00S1 A - xay, where x = 2 y.

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

Introduction to Formal Languages, Automata and Computability p.1/42

Introduction to Formal Languages, Automata and Computability p.1/42 Introduction to Formal Languages, Automata and Computability Pushdown Automata K. Krithivasan and R. Rama Introduction to Formal Languages, Automata and Computability p.1/42 Introduction We have considered

More information

Ogden s Lemma for CFLs

Ogden s Lemma for CFLs Ogden s Lemma for CFLs Theorem If L is a context-free language, then there exists an integer l such that for any u L with at least l positions marked, u can be written as u = vwxyz such that 1 x and at

More information

III.2 (b) Higher level programming concepts for URMs Anton Setzer

III.2 (b) Higher level programming concepts for URMs Anton Setzer CS 275 Automata and Formal Language Theory Course Notes Additional Material Part III: Limits of Computation Chapt. III.2: The URM III.2 (a) Definition of the URM III.2 (b) Higher level programming concepts

More information

Computational Models - Lecture 5 1

Computational Models - Lecture 5 1 Computational Models - Lecture 5 1 Handout Mode Iftach Haitner and Yishay Mansour. Tel Aviv University. April 10/22, 2013 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice

More information

October 6, Equivalence of Pushdown Automata with Context-Free Gramm

October 6, Equivalence of Pushdown Automata with Context-Free Gramm Equivalence of Pushdown Automata with Context-Free Grammar October 6, 2013 Motivation Motivation CFG and PDA are equivalent in power: a CFG generates a context-free language and a PDA recognizes a context-free

More information

CS5371 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) 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 information

SCHEME FOR INTERNAL ASSESSMENT TEST 3

SCHEME FOR INTERNAL ASSESSMENT TEST 3 SCHEME FOR INTERNAL ASSESSMENT TEST 3 Max Marks: 40 Subject& Code: Automata Theory & Computability (15CS54) Sem: V ISE (A & B) Note: Answer any FIVE full questions, choosing one full question from each

More information

Properties of Context-Free Languages. Closure Properties Decision Properties

Properties of Context-Free Languages. Closure Properties Decision Properties Properties of Context-Free Languages Closure Properties Decision Properties 1 Closure Properties of CFL s CFL s are closed under union, concatenation, and Kleene closure. Also, under reversal, homomorphisms

More information

Linear conjunctive languages are closed under complement

Linear conjunctive languages are closed under complement Linear conjunctive languages are closed under complement Alexander Okhotin okhotin@cs.queensu.ca Technical report 2002-455 Department of Computing and Information Science, Queen s University, Kingston,

More information

Computational Models - Lecture 5 1

Computational Models - Lecture 5 1 Computational Models - Lecture 5 1 Handout Mode Iftach Haitner. Tel Aviv University. November 28, 2016 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice Herlihy, Brown University.

More information

CS 373: Theory of Computation. Fall 2010

CS 373: Theory of Computation. Fall 2010 CS 373: Theory of Computation Gul Agha Mahesh Viswanathan Fall 2010 1 1 Normal Forms for CFG Normal Forms for Grammars It is typically easier to work with a context free language if given a CFG in a normal

More information

Introduction to Theory of Computing

Introduction to Theory of Computing CSCI 2670, Fall 2012 Introduction to Theory of Computing Department of Computer Science University of Georgia Athens, GA 30602 Instructor: Liming Cai www.cs.uga.edu/ cai 0 Lecture Note 3 Context-Free Languages

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

Discrete Mathematics. CS204: Spring, Jong C. Park Computer Science Department KAIST

Discrete Mathematics. CS204: Spring, Jong C. Park Computer Science Department KAIST Discrete Mathematics CS204: Spring, 2008 Jong C. Park Computer Science Department KAIST Today s Topics Sequential Circuits and Finite-State Machines Finite-State Automata Languages and Grammars Nondeterministic

More information

Context Free Grammars

Context Free Grammars Automata and Formal Languages Context Free Grammars Sipser pages 101-111 Lecture 11 Tim Sheard 1 Formal Languages 1. Context free languages provide a convenient notation for recursive description of languages.

More information

Pushdown automata. Twan van Laarhoven. Institute for Computing and Information Sciences Intelligent Systems Radboud University Nijmegen

Pushdown automata. Twan van Laarhoven. Institute for Computing and Information Sciences Intelligent Systems Radboud University Nijmegen Pushdown automata Twan van Laarhoven Institute for Computing and Information Sciences Intelligent Systems Version: fall 2014 T. van Laarhoven Version: fall 2014 Formal Languages, Grammars and Automata

More information

CSE 311: Foundations of Computing. Lecture 23: Finite State Machine Minimization & NFAs

CSE 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 information

CS375 Midterm Exam Solution Set (Fall 2017)

CS375 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 information

Theory of Computation

Theory of Computation Thomas Zeugmann Hokkaido University Laboratory for Algorithmics http://www-alg.ist.hokudai.ac.jp/ thomas/toc/ Lecture 10: CF, PDAs and Beyond Greibach Normal Form I We want to show that all context-free

More information

Theory of Computation

Theory of Computation Thomas Zeugmann Hokkaido University Laboratory for Algorithmics http://www-alg.ist.hokudai.ac.jp/ thomas/toc/ Lecture 3: Finite State Automata Motivation In the previous lecture we learned how to formalize

More information

Formal Language and Automata Theory (CS21004)

Formal Language and Automata Theory (CS21004) Theory (CS21004) Announcements The slide is just a short summary Follow the discussion and the boardwork Solve problems (apart from those we dish out in class) Table of Contents 1 2 3 Patterns A Pattern

More information

Chapter 3. Regular grammars

Chapter 3. Regular grammars Chapter 3 Regular grammars 59 3.1 Introduction Other view of the concept of language: not the formalization of the notion of effective procedure, but set of words satisfying a given set of rules Origin

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

Finite Automata Theory and Formal Languages TMV026/TMV027/DIT321 Responsible: Ana Bove

Finite Automata Theory and Formal Languages TMV026/TMV027/DIT321 Responsible: Ana Bove Finite Automata Theory and Formal Languages TMV026/TMV027/DIT321 Responsible: Ana Bove Tuesday 28 of May 2013 Total: 60 points TMV027/DIT321 registration VT13 TMV026/DIT321 registration before VT13 Exam

More information

Context-Free Languages

Context-Free Languages CS:4330 Theory of Computation Spring 2018 Context-Free Languages Non-Context-Free Languages Haniel Barbosa Readings for this lecture Chapter 2 of [Sipser 1996], 3rd edition. Section 2.3. Proving context-freeness

More information

Introduction to Automata

Introduction to Automata Introduction to Automata Seungjin Choi Department of Computer Science and Engineering Pohang University of Science and Technology 77 Cheongam-ro, Nam-gu, Pohang 37673, Korea seungjin@postech.ac.kr 1 /

More information

Parsing Regular Expressions and Regular Grammars

Parsing Regular Expressions and Regular Grammars Regular Expressions and Regular Grammars Laura Heinrich-Heine-Universität Düsseldorf Sommersemester 2011 Regular Expressions (1) Let Σ be an alphabet The set of regular expressions over Σ is recursively

More information

Peter Wood. Department of Computer Science and Information Systems Birkbeck, University of London Automata and Formal Languages

Peter Wood. Department of Computer Science and Information Systems Birkbeck, University of London Automata and Formal Languages and and Department of Computer Science and Information Systems Birkbeck, University of London ptw@dcs.bbk.ac.uk Outline and Doing and analysing problems/languages computability/solvability/decidability

More information

Harvard 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 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 information

Harvard CS 121 and CSCI E-207 Lecture 12: General Context-Free Recognition

Harvard CS 121 and CSCI E-207 Lecture 12: General Context-Free Recognition Harvard CS 121 and CSCI E-207 Lecture 12: General Context-Free Recognition Salil Vadhan October 11, 2012 Reading: Sipser, Section 2.3 and Section 2.1 (material on Chomsky Normal Form). Pumping Lemma for

More information

Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 3. Y.N. Srikant

Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 3. Y.N. Srikant Syntax Analysis: Context-free Grammars, Pushdown Automata and Part - 3 Department of Computer Science and Automation Indian Institute of Science Bangalore 560 012 NPTEL Course on Principles of Compiler

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

Context-Free Languages (Pre Lecture)

Context-Free Languages (Pre Lecture) Context-Free Languages (Pre Lecture) Dr. Neil T. Dantam CSCI-561, Colorado School of Mines Fall 2017 Dantam (Mines CSCI-561) Context-Free Languages (Pre Lecture) Fall 2017 1 / 34 Outline Pumping Lemma

More information

CS 275 Automata and Formal Language Theory

CS 275 Automata and Formal Language Theory CS 275 Automt nd Forml Lnguge Theory Course Notes Prt II: The Recognition Problem (II) Chpter II.6.: Push Down Automt Remrk: This mteril is no longer tught nd not directly exm relevnt Anton Setzer (Bsed

More information

Einführung in die Computerlinguistik

Einführung in die Computerlinguistik Einführung in die Computerlinguistik Context-Free Grammars (CFG) Laura Kallmeyer Heinrich-Heine-Universität Düsseldorf Summer 2016 1 / 22 CFG (1) Example: Grammar G telescope : Productions: S NP VP NP

More information

CSE 105 Homework 5 Due: Monday November 13, Instructions. should be on each page of the submission.

CSE 105 Homework 5 Due: Monday November 13, Instructions. should be on each page of the submission. CSE 05 Homework 5 Due: Monday November 3, 207 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

More information

Computability and Complexity

Computability and Complexity Computability and Complexity Lecture 5 Reductions Undecidable problems from language theory Linear bounded automata given by Jiri Srba Lecture 5 Computability and Complexity 1/14 Reduction Informal Definition

More information

Closure Properties of Context-Free Languages. Foundations of Computer Science Theory

Closure Properties of Context-Free Languages. Foundations of Computer Science Theory Closure Properties of Context-Free Languages Foundations of Computer Science Theory Closure Properties of CFLs CFLs are closed under: Union Concatenation Kleene closure Reversal CFLs are not closed under

More information

Pushdown Automata. Reading: Chapter 6

Pushdown Automata. Reading: Chapter 6 Pushdown Automata Reading: Chapter 6 1 Pushdown Automata (PDA) Informally: A PDA is an NFA-ε with a infinite stack. Transitions are modified to accommodate stack operations. Questions: What is a stack?

More information

Context Free Languages and Grammars

Context Free Languages and Grammars Algorithms & Models of Computation CS/ECE 374, Fall 2017 Context Free Languages and Grammars Lecture 7 Tuesday, September 19, 2017 Sariel Har-Peled (UIUC) CS374 1 Fall 2017 1 / 36 What stack got to do

More information

Non-context-Free Languages. CS215, Lecture 5 c

Non-context-Free Languages. CS215, Lecture 5 c Non-context-Free Languages CS215, Lecture 5 c 2007 1 The Pumping Lemma Theorem. (Pumping Lemma) Let be context-free. There exists a positive integer divided into five pieces, Proof for for each, and..

More information

Automata Theory CS F-08 Context-Free Grammars

Automata Theory CS F-08 Context-Free Grammars Automata Theory CS411-2015F-08 Context-Free Grammars David Galles Department of Computer Science University of San Francisco 08-0: Context-Free Grammars Set of Terminals (Σ) Set of Non-Terminals Set of

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

Theory of Computer Science

Theory of Computer Science Theory of Computer Science C1. Formal Languages and Grammars Malte Helmert University of Basel March 14, 2016 Introduction Example: Propositional Formulas from the logic part: Definition (Syntax of Propositional

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

Comment: The induction is always on some parameter, and the basis case is always an integer or set of integers.

Comment: The induction is always on some parameter, and the basis case is always an integer or set of integers. 1. For each of the following statements indicate whether it is true or false. For the false ones (if any), provide a counter example. For the true ones (if any) give a proof outline. (a) Union of two non-regular

More information

Suppose h maps number and variables to ɛ, and opening parenthesis to 0 and closing parenthesis

Suppose h maps number and variables to ɛ, and opening parenthesis to 0 and closing parenthesis 1 Introduction Parenthesis Matching Problem Describe the set of arithmetic expressions with correctly matched parenthesis. Arithmetic expressions with correctly matched parenthesis cannot be described

More information

CS Pushdown Automata

CS Pushdown Automata Chap. 6 Pushdown Automata 6.1 Definition of Pushdown Automata Example 6.2 L ww R = {ww R w (0+1) * } Palindromes over {0, 1}. A cfg P 0 1 0P0 1P1. Consider a FA with a stack(= a Pushdown automaton; PDA).

More information

Recitation 4: Converting Grammars to Chomsky Normal Form, Simulation of Context Free Languages with Push-Down Automata, Semirings

Recitation 4: Converting Grammars to Chomsky Normal Form, Simulation of Context Free Languages with Push-Down Automata, Semirings Recitation 4: Converting Grammars to Chomsky Normal Form, Simulation of Context Free Languages with Push-Down Automata, Semirings 11-711: Algorithms for NLP October 10, 2014 Conversion to CNF Example grammar

More information

Computability Theory

Computability Theory CS:4330 Theory of Computation Spring 2018 Computability Theory Decidable Problems of CFLs and beyond Haniel Barbosa Readings for this lecture Chapter 4 of [Sipser 1996], 3rd edition. Section 4.1. Decidable

More information

PS2 - Comments. University of Virginia - cs3102: Theory of Computation Spring 2010

PS2 - 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 information

CS 154 Introduction to Automata and Complexity Theory

CS 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 information

Formal Languages and Automata

Formal Languages and Automata Formal Languages and Automata Lecture 6 2017-18 LFAC (2017-18) Lecture 6 1 / 31 Lecture 6 1 The recognition problem: the Cocke Younger Kasami algorithm 2 Pushdown Automata 3 Pushdown Automata and Context-free

More information

Foundations of Informatics: a Bridging Course

Foundations of Informatics: a Bridging Course Foundations of Informatics: a Bridging Course Week 3: Formal Languages and Semantics Thomas Noll Lehrstuhl für Informatik 2 RWTH Aachen University noll@cs.rwth-aachen.de http://www.b-it-center.de/wob/en/view/class211_id948.html

More information

Outline. CS21 Decidability and Tractability. Machine view of FA. Machine view of FA. Machine view of FA. Machine view of FA.

Outline. CS21 Decidability and Tractability. Machine view of FA. Machine view of FA. Machine view of FA. Machine view of FA. Outline CS21 Decidability and Tractability Lecture 5 January 16, 219 and Languages equivalence of NPDAs and CFGs non context-free languages January 16, 219 CS21 Lecture 5 1 January 16, 219 CS21 Lecture

More information

DM17. Beregnelighed. Jacob Aae Mikkelsen

DM17. Beregnelighed. Jacob Aae Mikkelsen DM17 Beregnelighed Jacob Aae Mikkelsen January 12, 2007 CONTENTS Contents 1 Introduction 2 1.1 Operations with languages...................... 2 2 Finite Automata 3 2.1 Regular expressions/languages....................

More information

Computability and Complexity

Computability and Complexity Computability and Complexity Push-Down Automata CAS 705 Ryszard Janicki Department of Computing and Software McMaster University Hamilton, Ontario, Canada janicki@mcmaster.ca Ryszard Janicki Computability

More information

CSE 355 Test 2, Fall 2016

CSE 355 Test 2, Fall 2016 CSE 355 Test 2, Fall 2016 28 October 2016, 8:35-9:25 a.m., LSA 191 Last Name SAMPLE ASU ID 1357924680 First Name(s) Ima Regrading of Midterms If you believe that your grade has not been added up correctly,

More information

CS:4330 Theory of Computation Spring Regular Languages. Finite Automata and Regular Expressions. Haniel Barbosa

CS:4330 Theory of Computation Spring Regular Languages. Finite Automata and Regular Expressions. Haniel Barbosa CS:4330 Theory of Computation Spring 2018 Regular Languages Finite Automata and Regular Expressions Haniel Barbosa Readings for this lecture Chapter 1 of [Sipser 1996], 3rd edition. Sections 1.1 and 1.3.

More information

C1.1 Introduction. Theory of Computer Science. Theory of Computer Science. C1.1 Introduction. C1.2 Alphabets and Formal Languages. C1.

C1.1 Introduction. Theory of Computer Science. Theory of Computer Science. C1.1 Introduction. C1.2 Alphabets and Formal Languages. C1. Theory of Computer Science March 20, 2017 C1. Formal Languages and Grammars Theory of Computer Science C1. Formal Languages and Grammars Malte Helmert University of Basel March 20, 2017 C1.1 Introduction

More information

5 Context-Free Languages

5 Context-Free Languages CA320: COMPUTABILITY AND COMPLEXITY 1 5 Context-Free Languages 5.1 Context-Free Grammars Context-Free Grammars Context-free languages are specified with a context-free grammar (CFG). Formally, a CFG G

More information

6.1 The Pumping Lemma for CFLs 6.2 Intersections and Complements of CFLs

6.1 The Pumping Lemma for CFLs 6.2 Intersections and Complements of CFLs CSC4510/6510 AUTOMATA 6.1 The Pumping Lemma for CFLs 6.2 Intersections and Complements of CFLs The Pumping Lemma for Context Free Languages One way to prove AnBn is not regular is to use the pumping lemma

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 Models: Class 3

Computational 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 information

Pushdown Automata (Pre Lecture)

Pushdown Automata (Pre Lecture) Pushdown Automata (Pre Lecture) Dr. Neil T. Dantam CSCI-561, Colorado School of Mines Fall 2017 Dantam (Mines CSCI-561) Pushdown Automata (Pre Lecture) Fall 2017 1 / 41 Outline Pushdown Automata Pushdown

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

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

Pushdown Automata: Introduction (2)

Pushdown Automata: Introduction (2) Pushdown Automata: Introduction Pushdown automaton (PDA) M = (K, Σ, Γ,, s, A) where K is a set of states Σ is an input alphabet Γ is a set of stack symbols s K is the start state A K is a set of accepting

More information

Chapter 5: Context-Free Languages

Chapter 5: Context-Free Languages Chapter 5: Context-Free Languages Peter Cappello Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 cappello@cs.ucsb.edu Please read the corresponding chapter

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

Fall, 2017 CIS 262. Automata, Computability and Complexity Jean Gallier Solutions of the Practice Final Exam

Fall, 2017 CIS 262. Automata, Computability and Complexity Jean Gallier Solutions of the Practice Final Exam Fall, 2017 CIS 262 Automata, Computability and Complexity Jean Gallier Solutions of the Practice Final Exam December 6, 2017 Problem 1 (10 pts). Let Σ be an alphabet. (1) What is an ambiguous context-free

More information

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY 15-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY Chomsky Normal Form and TURING MACHINES TUESDAY Feb 4 CHOMSKY NORMAL FORM A context-free grammar is in Chomsky normal form if every rule is of the form:

More information

Computational Models - Lecture 3

Computational 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 information

Miscellaneous. Closure Properties Decision Properties

Miscellaneous. Closure Properties Decision Properties Miscellaneous Closure Properties Decision Properties 1 Closure Properties of CFL s CFL s are closed under union, concatenation, and Kleene closure. Also, under reversal, homomorphisms and inverse homomorphisms.

More information

CMPSCI 250: Introduction to Computation. Lecture #29: Proving Regular Language Identities David Mix Barrington 6 April 2012

CMPSCI 250: Introduction to Computation. Lecture #29: Proving Regular Language Identities David Mix Barrington 6 April 2012 CMPSCI 250: Introduction to Computation Lecture #29: Proving Regular Language Identities David Mix Barrington 6 April 2012 Proving Regular Language Identities Regular Language Identities The Semiring Axioms

More information

THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET

THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET Regular Languages and FA A language is a set of strings over a finite alphabet Σ. All languages are finite or countably infinite. The set of all languages

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

CS20a: summary (Oct 24, 2002)

CS20a: summary (Oct 24, 2002) CS20a: summary (Oct 24, 2002) Context-free languages Grammars G = (V, T, P, S) Pushdown automata N-PDA = CFG D-PDA < CFG Today What languages are context-free? Pumping lemma (similar to pumping lemma for

More information

CS481F01 Prelim 2 Solutions

CS481F01 Prelim 2 Solutions CS481F01 Prelim 2 Solutions A. Demers 7 Nov 2001 1 (30 pts = 4 pts each part + 2 free points). For this question we use the following notation: x y means x is a prefix of y m k n means m n k For each of

More information

Homework. Context Free Languages. Announcements. Before We Start. Languages. Plan for today. Final Exam Dates have been announced.

Homework. Context Free Languages. Announcements. Before We Start. Languages. Plan for today. Final Exam Dates have been announced. Homework Context Free Languages PDAs and CFLs Homework #3 returned Homework #4 due today Homework #5 Pg 169 -- Exercise 4 Pg 183 -- Exercise 4c,e,i (use JFLAP) Pg 184 -- Exercise 10 Pg 184 -- Exercise

More information

Context-Free Grammars and Languages

Context-Free Grammars and Languages Context-Free Grammars and Languages Seungjin Choi Department of Computer Science and Engineering Pohang University of Science and Technology 77 Cheongam-ro, Nam-gu, Pohang 37673, Korea seungjin@postech.ac.kr

More information

CS 275 Automata and Formal Language Theory

CS 275 Automata and Formal Language Theory CS 275 utomt nd Forml Lnguge Theory Course Notes Prt II: The Recognition Prolem (II) Chpter II.5.: Properties of Context Free Grmmrs (14) nton Setzer (Bsed on ook drft y J. V. Tucker nd K. Stephenson)

More information

Section 1 (closed-book) Total points 30

Section 1 (closed-book) Total points 30 CS 454 Theory of Computation Fall 2011 Section 1 (closed-book) Total points 30 1. Which of the following are true? (a) a PDA can always be converted to an equivalent PDA that at each step pops or pushes

More information

CS 301. Lecture 18 Decidable languages. Stephen Checkoway. April 2, 2018

CS 301. Lecture 18 Decidable languages. Stephen Checkoway. April 2, 2018 CS 301 Lecture 18 Decidable languages Stephen Checkoway April 2, 2018 1 / 26 Decidable language Recall, a language A is decidable if there is some TM M that 1 recognizes A (i.e., L(M) = A), and 2 halts

More information

Properties of Context Free Languages

Properties of Context Free Languages 1 Properties of Context Free Languages Pallab Dasgupta, Professor, Dept. of Computer Sc & Engg 2 Theorem: CFLs are closed under concatenation If L 1 and L 2 are CFLs, then L 1 L 2 is a CFL. Proof: 1. Let

More information

Final exam study sheet for CS3719 Turing machines and decidability.

Final exam study sheet for CS3719 Turing machines and decidability. Final exam study sheet for CS3719 Turing machines and decidability. A Turing machine is a finite automaton with an infinite memory (tape). Formally, a Turing machine is a 6-tuple M = (Q, Σ, Γ, δ, q 0,

More information