Discrete Mathematics and Logic II. Regular Sets

Size: px
Start display at page:

Download "Discrete Mathematics and Logic II. Regular Sets"

Transcription

1 Discrete Mathematics and Logic II. Regular Sets SFWR ENG 2FA3 Ryszard Janicki Winter 24 Acknowledgments: Material based on Automata and Computability by Dexter C. Kozen (Chapter 4). Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets / 2

2 Induction to prove that an automaton accepts a set Regular sets: A = {x {, } x represents a multiple of three in binary} r r r2 Does this automaton accept exactly the above set A? Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 2 / 2

3 Induction to prove that an automaton accepts a set Preliminaries for answering the question: #x denote the number represented by string x in binary The question can be formalised as follows: Show that for any string x in {, }, we have δ (r, x) = r i #x mod 3 δ (r, x) = r i #x mod 3 δ (r, x) = r 2 i #x 2 mod 3 Shortly δ (r, x) = r (#x mod 3) Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 3 / 2

4 Induction to prove that an automaton accepts a set Preliminaries for answering the question (continued): r r r2 We have #(xb) = 2(#x) + b for b a bit (i.e., or ) we see that for any state r q {r, r, r 2 } (i.e., q {,, 2}) and input symbol b {, }, we have δ (r q, b) = r ((2q+b) mod 3) Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 4 / 2

5 Induction to prove that an automaton accepts a set Answering the question: Use the inductive denition of δ to show δ (r, x) = r (#x mod 3) by induction on x Base case: δ (r, ɛ) = r (#ɛ mod 3) Induction step : δ (r, xb) = r (#xb mod 3) Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 5 / 2

6 Some Closure Properties of Regular Sets Motivation: Let A, B Σ such that A and B regular sets. are A B, A B, and A regular sets? Are AB and A also regular? Let f be an n-ary operation on S and T S. T is closed under f, if (t, t 2,, t n t, t 2,, t n T : f (t, t 2,, t n ) T ) Idea: From the automata that accept A and B, can we built automata that accept the above sets?!!!! We need to devise a way to combine automata Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 6 / 2

7 Some Closure Properties of Regular Sets (The Product Construction) If we assume that A and B are regular M = (Q, Σ, δ, s, F ) M 2 = (Q 2, Σ, δ 2, s 2, F 2 ) with A = L(M ) and B = L(M 2 ) To show that A B is regular, we will build an automaton M 3 such that L(M 3 ) = A B How does M 3 work (Intuitively)? Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 7 / 2

8 Some Closure Properties of Regular Sets (The Product Construction) Let M 3 = (Q 3, Σ, δ 3, s 3, F 3 ) where Q 3 = Q Q 2 = {(p, q) p Q q Q 2 } F 3 = F F 2 s 3 = (s, s 2 ) δ 3 : Q 3 Σ Q 3 dened by δ 3 ((p, q), a) = (δ (p, a), δ 2 (q, a)) The automaton M 3 is called the product of M and M 2 Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 8 / 2

9 Some Closure Properties of Regular Sets (The Product Construction) Lemma ( ( ) ) x x Σ : δ3 ((p, q), x) = δ (p, x), δ2 (q, x) Proof. By induction on x Base case: For x ( = ɛ, do we have ) δ 3 ((p, q), ɛ) = δ (p, ɛ), δ2 (q, ɛ)??? Induction step: Assuming the lemma holds for x Σ, can we show that it holds for xa, where a Σ??? Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 9 / 2

10 Some Closure Properties of Regular Sets (Closure under intersection) Theorem L(M 3 ) = L(M ) L(M 2 ) Proof. For all x Σ x L(M 3 ) Denition of acceptance δ 3 (s 3, x) F 3 Denition of s 3 and F 3 Lemma x L(M ) L(M 2 ) Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets / 2

11 Some Closure Properties of Regular Sets (Closure under complement) Regular sets: A = {x {, } x represents a multiple of three in binary} r r r2 A = {x {, } x DOES NOT represent a multiple of three in binary} r r r2 Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets / 2

12 Some Closure Properties of Regular Sets (Closure under union) We have showed that regular sets are closed under intersection and complement We have A B = ( A B ) Then regular sets are closed under We get an automaton for A B that looks exactly like the product automaton for A B, except that the accept states are F 3 = (F Q 2 ) (Q F 2 ) instead of F F 2 Ryszard Janicki Discrete Mathematics and Logic II. Regular Sets 2 / 2

Discrete Mathematcs and Logic II.

Discrete Mathematcs and Logic II. Discrete Mathematcs and Logic II. SFWR ENG 2FA3 Ryszard Janicki Winter 2014 Acknowledgments: Material based the paper Computing Properties of Numerical Imperative Programs by Symbolic Computation by Jacques

More information

Computability and Complexity

Computability and Complexity Computability and Complexity Non-determinism, Regular Expressions CAS 705 Ryszard Janicki Department of Computing and Software McMaster University Hamilton, Ontario, Canada janicki@mcmaster.ca Ryszard

More information

CS 455/555: Finite automata

CS 455/555: Finite automata CS 455/555: Finite automata Stefan D. Bruda Winter 2019 AUTOMATA (FINITE OR NOT) Generally any automaton Has a finite-state control Scans the input one symbol at a time Takes an action based on the currently

More information

T (s, xa) = T (T (s, x), a). The language recognized by M, denoted L(M), is the set of strings accepted by M. That is,

T (s, xa) = T (T (s, x), a). The language recognized by M, denoted L(M), is the set of strings accepted by M. That is, Recall A deterministic finite automaton is a five-tuple where S is a finite set of states, M = (S, Σ, T, s 0, F ) Σ is an alphabet the input alphabet, T : S Σ S is the transition function, s 0 S is the

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

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

Discrete Mathematics and Logic II. Predicate Calculus

Discrete Mathematics and Logic II. Predicate Calculus Discrete Mathematics and Logic II. Predicate Calculus SFWR ENG 2FA3 Ryszard Janicki Winter 2014 Acknowledgments: Material based on A Logical Approach to Discrete Math by David Gries and Fred B. Schneider

More information

Deterministic Finite Automata (DFAs)

Deterministic Finite Automata (DFAs) CS/ECE 374: Algorithms & Models of Computation, Fall 28 Deterministic Finite Automata (DFAs) Lecture 3 September 4, 28 Chandra Chekuri (UIUC) CS/ECE 374 Fall 28 / 33 Part I DFA Introduction Chandra Chekuri

More information

Deterministic Finite Automata (DFAs)

Deterministic Finite Automata (DFAs) Algorithms & Models of Computation CS/ECE 374, Fall 27 Deterministic Finite Automata (DFAs) Lecture 3 Tuesday, September 5, 27 Sariel Har-Peled (UIUC) CS374 Fall 27 / 36 Part I DFA Introduction Sariel

More information

CS243, Logic and Computation Nondeterministic finite automata

CS243, Logic and Computation Nondeterministic finite automata CS243, Prof. Alvarez NONDETERMINISTIC FINITE AUTOMATA (NFA) Prof. Sergio A. Alvarez http://www.cs.bc.edu/ alvarez/ Maloney Hall, room 569 alvarez@cs.bc.edu Computer Science Department voice: (67) 552-4333

More information

SE 2FA3: Discrete Mathematics and Logic II. Teaching Assistants: Yasmine Sharoda,

SE 2FA3: Discrete Mathematics and Logic II. Teaching Assistants: Yasmine Sharoda, SE 2FA3: Discrete Mathematics and Logic II Instructor: Dr. Ryszard Janicki, ITB 217, e-mail: janicki@mcmaster.ca, tel: 529-7070 ext: 23919, Teaching Assistants: Yasmine Sharoda, e-mail: sharodym@mcmaster.ca,

More information

Deterministic Finite Automata (DFAs)

Deterministic Finite Automata (DFAs) Algorithms & Models of Computation CS/ECE 374, Spring 29 Deterministic Finite Automata (DFAs) Lecture 3 Tuesday, January 22, 29 L A TEXed: December 27, 28 8:25 Chan, Har-Peled, Hassanieh (UIUC) CS374 Spring

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

CS 455/555: Mathematical preliminaries

CS 455/555: Mathematical preliminaries CS 455/555: Mathematical preliminaries Stefan D. Bruda Winter 2019 SETS AND RELATIONS Sets: Operations: intersection, union, difference, Cartesian product Big, powerset (2 A ) Partition (π 2 A, π, i j

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

Computability and Complexity

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

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

CSE 105 THEORY OF COMPUTATION

CSE 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 information

CS 321 Solutions to Homework 4 Due October 22, 5pm

CS 321 Solutions to Homework 4 Due October 22, 5pm CS 321 Solutions to Homework 4 Due October 22, 5pm 1. Convert the following NFAs from HW3 to (a) {ab, aba} (b) bitstrings with 0 as the third last symbol (c) bitstrings that contain 0100 How do these converted

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

Computability and Complexity

Computability and Complexity Computability and Complexity Rewriting Systems and Chomsky Grammars CAS 705 Ryszard Janicki Department of Computing and Software McMaster University Hamilton, Ontario, Canada janicki@mcmaster.ca Ryszard

More information

2. Elements of the Theory of Computation, Lewis and Papadimitrou,

2. Elements of the Theory of Computation, Lewis and Papadimitrou, Introduction Finite Automata DFA, regular languages Nondeterminism, NFA, subset construction Regular Epressions Synta, Semantics Relationship to regular languages Properties of regular languages Pumping

More information

Büchi Automata and their closure properties. - Ajith S and Ankit Kumar

Büchi Automata and their closure properties. - Ajith S and Ankit Kumar Büchi Automata and their closure properties - Ajith S and Ankit Kumar Motivation Conventional programs accept input, compute, output result, then terminate Reactive program : not expected to terminate

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

Constructions on Finite Automata

Constructions on Finite Automata Constructions on Finite Automata Informatics 2A: Lecture 4 Alex Simpson School of Informatics University of Edinburgh als@inf.ed.ac.uk 23rd September, 2014 1 / 29 1 Closure properties of regular languages

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

Closure 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 of Regular Languages Union, Intersection, Difference, Concatenation, Kleene Closure, Reversal, Homomorphism, Inverse Homomorphism Closure Properties Recall a closure property is a statement

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

Automata Theory for Presburger Arithmetic Logic

Automata Theory for Presburger Arithmetic Logic Automata Theory for Presburger Arithmetic Logic References from Introduction to Automata Theory, Languages & Computation and Constraints in Computational Logic Theory & Application Presented by Masood

More information

Nondeterministic Finite Automata. Nondeterminism Subset Construction

Nondeterministic Finite Automata. Nondeterminism Subset Construction Nondeterministic Finite Automata Nondeterminism Subset Construction 1 Nondeterminism A nondeterministic finite automaton has the ability to be in several states at once. Transitions from a state on an

More information

Introduction to Formal Languages, Automata and Computability p.1/51

Introduction to Formal Languages, Automata and Computability p.1/51 Introduction to Formal Languages, Automata and Computability Finite State Automata K. Krithivasan and R. Rama Introduction to Formal Languages, Automata and Computability p.1/51 Introduction As another

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

Computability and Complexity

Computability and Complexity Computability and Complexity Decidability, Undecidability and Reducibility; Codes, Algorithms and Languages CAS 705 Ryszard Janicki Department of Computing and Software McMaster University Hamilton, Ontario,

More information

Properties of Regular Languages (2015/10/15)

Properties of Regular Languages (2015/10/15) Chapter 4 Properties of Regular Languages (25//5) Pasbag, Turkey Outline 4. Proving Languages Not to e Regular 4.2 Closure Properties of Regular Languages 4.3 Decision Properties of Regular Languages 4.4

More information

Deterministic Finite Automata (DFAs)

Deterministic Finite Automata (DFAs) Algorithms & Models of Computation CS/ECE 374, Fall 27 Deterministic Finite Automata (DFAs) Lecture 3 Tuesday, September 5, 27 Part I DFA Introduction Sariel Har-Peled (UIUC) CS374 Fall 27 / 36 Sariel

More information

CS 208: Automata Theory and Logic

CS 208: Automata Theory and Logic CS 28: Automata Theory and Logic b a a start A x(la(x) y(x < y) L b (y)) B b Department of Computer Science and Engineering, Indian Institute of Technology Bombay of 32 Nondeterminism Alternation 2 of

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

Constructions on Finite Automata

Constructions on Finite Automata Constructions on Finite Automata Informatics 2A: Lecture 4 Mary Cryan School of Informatics University of Edinburgh mcryan@inf.ed.ac.uk 24 September 2018 1 / 33 Determinization The subset construction

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

Regular expressions and Kleene s theorem

Regular expressions and Kleene s theorem and Informatics 2A: Lecture 5 Alex Simpson School of Informatics University of Edinburgh als@inf.ed.ac.uk 25 September, 2014 1 / 26 1 More closure properties of regular languages Operations on languages

More information

Automata and Languages

Automata and Languages Automata and Languages Prof. Mohamed Hamada Software Engineering Lab. The University of Aizu Japan Mathematical Background Mathematical Background Sets Relations Functions Graphs Proof techniques Sets

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 14 SMALL REVIEW FOR FINAL SOME Y/N QUESTIONS Q1 Given Σ =, there is L over Σ Yes: = {e} and L = {e} Σ Q2 There are uncountably

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

Finite Automata and Regular languages

Finite 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 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

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

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

Finite Automata and Languages

Finite Automata and Languages CS62, IIT BOMBAY Finite Automata and Languages Ashutosh Trivedi Department of Computer Science and Engineering, IIT Bombay CS62: New Trends in IT: Modeling and Verification of Cyber-Physical Systems (2

More information

Theory of computation: initial remarks (Chapter 11)

Theory of computation: initial remarks (Chapter 11) Theory of computation: initial remarks (Chapter 11) For many purposes, computation is elegantly modeled with simple mathematical objects: Turing machines, finite automata, pushdown automata, and such.

More information

CPS 220 Theory of Computation REGULAR LANGUAGES

CPS 220 Theory of Computation REGULAR LANGUAGES CPS 22 Theory of Computation REGULAR LANGUAGES Introduction Model (def) a miniature representation of a thing; sometimes a facsimile Iraq village mockup for the Marines Scientific modelling - the process

More information

Extended transition function of a DFA

Extended transition function of a DFA Extended transition function of a DFA The next two pages describe the extended transition function of a DFA in a more detailed way than Handout 3.. p./43 Formal approach to accepted strings We define the

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

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

NOTES ON AUTOMATA. Date: April 29,

NOTES ON AUTOMATA. Date: April 29, NOTES ON AUTOMATA 1. Monoids acting on sets We say that a monoid S with identity element ɛ acts on a set Q if q(st) = (qs)t and qɛ = q. As with groups, if we set s = t whenever qs = qt for all q Q, then

More information

The Pumping Lemma and Closure Properties

The 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 information

Outline. Nondetermistic Finite Automata. Transition diagrams. A finite automaton is a 5-tuple (Q, Σ,δ,q 0,F)

Outline. Nondetermistic Finite Automata. Transition diagrams. A finite automaton is a 5-tuple (Q, Σ,δ,q 0,F) Outline Nondeterminism Regular expressions Elementary reductions http://www.cs.caltech.edu/~cs20/a October 8, 2002 1 Determistic Finite Automata A finite automaton is a 5-tuple (Q, Σ,δ,q 0,F) Q is a finite

More information

Closure under the Regular Operations

Closure under the Regular Operations September 7, 2013 Application of NFA Now we use the NFA to show that collection of regular languages is closed under regular operations union, concatenation, and star Earlier we have shown this closure

More information

Unit 6. Non Regular Languages The Pumping Lemma. Reading: Sipser, chapter 1

Unit 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 information

Lecture 7 Properties of regular languages

Lecture 7 Properties of regular languages Lecture 7 Properties of regular languages COT 4420 Theory of Computation Section 4.1 Closure properties of regular languages If L 1 and L 2 are regular languages, then we prove that: Union: L 1 L 2 Concatenation:

More information

CSE 105 THEORY OF COMPUTATION

CSE 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 information

Finite Automata and Regular Languages (part III)

Finite Automata and Regular Languages (part III) Finite Automata and Regular Languages (part III) Prof. Dan A. Simovici UMB 1 / 1 Outline 2 / 1 Nondeterministic finite automata can be further generalized by allowing transitions between states without

More information

Proving languages to be nonregular

Proving 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 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

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

Finite State Automata Design

Finite State Automata Design Finite State Automata Design Nicholas Mainardi 1 Dipartimento di Elettronica e Informazione Politecnico di Milano nicholas.mainardi@polimi.it March 14, 2017 1 Mostly based on Alessandro Barenghi s material,

More information

Outline. Summary. DFA -> Regex. Finish off Regex -> e-nfa -> NFA -> DFA -> Regex Minimization/equivalence (Myhill-Nerode theorem)

Outline. Summary. DFA -> Regex. Finish off Regex -> e-nfa -> NFA -> DFA -> Regex Minimization/equivalence (Myhill-Nerode theorem) Outline Finish off Regex -> e-nfa -> NFA -> DFA -> Regex Minimization/equivalence (Myhill-Nerode theorem) http://www.cs.caltech.edu/~cs20/a October 9, 2002 1 Summary NFA -> DFA If NFA has states Q, construct

More information

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY

FORMAL 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 information

Kolmogorov structure functions for automatic complexity

Kolmogorov structure functions for automatic complexity Kolmogorov structure functions for automatic complexity Bjørn Kjos-Hanssen June 16, 2015 Varieties of Algorithmic Information, University of Heidelberg Internationales Wissenschaftssentrum History 1936:

More information

Applied Computer Science II Chapter 1 : Regular Languages

Applied 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 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

On the Myhill-Nerode Theorem for Trees. Dexter Kozen y. Cornell University

On the Myhill-Nerode Theorem for Trees. Dexter Kozen y. Cornell University On the Myhill-Nerode Theorem for Trees Dexter Kozen y Cornell University kozen@cs.cornell.edu The Myhill-Nerode Theorem as stated in [6] says that for a set R of strings over a nite alphabet, the following

More information

PDL and its relation to PDL

PDL and its relation to PDL PDL and its relation to PDL Fahad Khan University of Nottingham afk@cs.nott.ac.uk Abstract In this report we examine results pertaining to Karl Abrahamson s PDL, namely PDL with an interleaving operator,,

More information

Pushdown Automata. We have seen examples of context-free languages that are not regular, and hence can not be recognized by finite automata.

Pushdown Automata. We have seen examples of context-free languages that are not regular, and hence can not be recognized by finite automata. Pushdown Automata We have seen examples of context-free languages that are not regular, and hence can not be recognized by finite automata. Next we consider a more powerful computation model, called a

More information

Formal Models in NLP

Formal Models in NLP Formal Models in NLP Finite-State Automata Nina Seemann Universität Stuttgart Institut für Maschinelle Sprachverarbeitung Pfaffenwaldring 5b 70569 Stuttgart May 15, 2012 Nina Seemann (IMS) Formal Models

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

CONCATENATION AND KLEENE STAR ON DETERMINISTIC FINITE AUTOMATA

CONCATENATION AND KLEENE STAR ON DETERMINISTIC FINITE AUTOMATA 1 CONCATENATION AND KLEENE STAR ON DETERMINISTIC FINITE AUTOMATA GUO-QIANG ZHANG, XIANGNAN ZHOU, ROBERT FRASER, LICONG CUI Department of Electrical Engineering and Computer Science, Case Western Reserve

More information

FORMAL LANGUAGES, AUTOMATA AND COMPUTATION

FORMAL LANGUAGES, AUTOMATA AND COMPUTATION FORMAL LANGUAGES, AUTOMATA AND COMPUTATION DECIDABILITY ( LECTURE 15) SLIDES FOR 15-453 SPRING 2011 1 / 34 TURING MACHINES-SYNOPSIS The most general model of computation Computations of a TM are described

More information

Subset construction. We have defined for a DFA L(A) = {x Σ ˆδ(q 0, x) F } and for A NFA. For any NFA A we can build a DFA A D such that L(A) = L(A D )

Subset construction. We have defined for a DFA L(A) = {x Σ ˆδ(q 0, x) F } and for A NFA. For any NFA A we can build a DFA A D such that L(A) = L(A D ) Search algorithm Clever algorithm even for a single word Example: find abac in abaababac See Knuth-Morris-Pratt and String searching algorithm on wikipedia 2 Subset construction We have defined for a DFA

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

CS481F01 Solutions 6 PDAS

CS481F01 Solutions 6 PDAS CS481F01 Solutions 6 PDAS A. Demers 2 November 2001 1. Give a NPDAs that recognize the following languages: (a) The set of all strings in {0, 1} that contain twice as many 1s as 0s. (answer a) We build

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

Visibly Linear Dynamic Logic

Visibly Linear Dynamic Logic Visibly Linear Dynamic Logic Joint work with Alexander Weinert (Saarland University) Martin Zimmermann Saarland University September 8th, 2016 Highlights Conference, Brussels, Belgium Martin Zimmermann

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

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

CSE 20 DISCRETE MATH WINTER

CSE 20 DISCRETE MATH WINTER CSE 20 DISCRETE MATH WINTER 2016 http://cseweb.ucsd.edu/classes/wi16/cse20-ab/ Today's learning goals Define and differentiate between important sets Use correct notation when describing sets: {...}, intervals

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

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

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

Harvard CS 121 and CSCI E-207 Lecture 4: NFAs vs. DFAs, Closure Properties

Harvard CS 121 and CSCI E-207 Lecture 4: NFAs vs. DFAs, Closure Properties Harvard CS 121 and CSCI E-207 Lecture 4: NFAs vs. DFAs, Closure Properties Salil Vadhan September 13, 2012 Reading: Sipser, 1.2. How to simulate NFAs? NFA accepts w if there is at least one accepting computational

More information

Equational Theory of Kleene Algebra

Equational Theory of Kleene Algebra Introduction to Kleene Algebra Lecture 7 CS786 Spring 2004 February 16, 2004 Equational Theory of Kleene Algebra We now turn to the equational theory of Kleene algebra. This and the next lecture will be

More information

CHURCH SYNTHESIS PROBLEM and GAMES

CHURCH SYNTHESIS PROBLEM and GAMES p. 1/? CHURCH SYNTHESIS PROBLEM and GAMES Alexander Rabinovich Tel-Aviv University, Israel http://www.tau.ac.il/ rabinoa p. 2/? Plan of the Course 1. The Church problem - logic and automata. 2. Games -

More information

DD2371 Automata Theory

DD2371 Automata Theory KTH CSC VT 2008 DD2371 Automata Theory Dilian Gurov Lecture Outline 1. The lecturer 2. Introduction to automata theory 3. Course syllabus 4. Course objectives 5. Course organization 6. First definitions

More information

GEETANJALI INSTITUTE OF TECHNICAL STUDIES, UDAIPUR I

GEETANJALI 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 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

Solutions. CS 2800 Fall 2017 Final exam Friday, December 8. NetID: 1. Modular arithmetic [9 pts]

Solutions. CS 2800 Fall 2017 Final exam Friday, December 8. NetID: 1. Modular arithmetic [9 pts] S 28 Fall 27 Final exam Friday, December 8. Modular arithmetic [9 pts] Solutions (a) [5 pts] Let d j d j... d 2 d d be the base representation of n. Use equivalence classes to prove that if n is a multiple

More information

CSE 105 THEORY OF COMPUTATION

CSE 105 THEORY OF COMPUTATION CSE 105 THEORY OF COMPUTATION Spring 2018 http://cseweb.ucsd.edu/classes/sp18/cse105-ab/ Today's learning goals Sipser Section 1.1 Prove closure properties of the class of regular languages Apply closure

More information

Advanced Automata Theory 2 Finite Automata

Advanced Automata Theory 2 Finite Automata Advanced Automata Theory 2 Finite Automata Frank Stephan Department of Computer Science Department of Mathematics National University of Singapore fstephan@comp.nus.edu.sg Advanced Automata Theory 2 Finite

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 6 CHAPTER 2 FINITE AUTOMATA 2. Nondeterministic Finite Automata NFA 3. Finite Automata and Regular Expressions 4. Languages

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

BASIC MATHEMATICAL TECHNIQUES

BASIC MATHEMATICAL TECHNIQUES CHAPTER 1 ASIC MATHEMATICAL TECHNIQUES 1.1 Introduction To understand automata theory, one must have a strong foundation about discrete mathematics. Discrete mathematics is a branch of mathematics dealing

More information