Size: px
Start display at page:

Download ""

Transcription

1 CPS Mathematical Foundations of CS Dr. S. Rodger Section: Properties of Context-Free Languages èhandoutè Section 3.5 Which of the following languages are CFL? æ L=fa n b n c j j 0 énçjg æ L=fa n b j a n b j j né0;j é0g æ L=fa n b j a k b p j n + j ç k + p; n é 0;j é0;k é0;pé0g Pumping Lemma for Regular Language's: Let L be a regular language, Then there is a constant m such that w 2 L, jwj çm,w=xyz such that æ jxyj çm æ jyjç1 æ for all i ç 0, xy i z 2 L Pumping Lemma for CFL's Let L be any inænite CFL. Then there is a constant m depending only on L, such that for every string w in L, with jwj çm,wemay partition w = uvxyz such that: jvxyj çm, èlimit on size of substringè jvyj ç1, èv and y not both emptyè For all i ç 0, uv i xy i z 2L æ Proof: èsketchè There is a CFG G s.t. L=LèGè. Consider the parse tree of a long string in L. For any long string, some nonterminal N must appear twice in the path. 1

2 . Example: Consider L = fa n b n c n : n ç 1g. Show L is not a CFL. æ Proof: èby contradictionè Assume L is a CFL and apply the pumping lemma. Let m be the constant in the pumping lemma and consider w = a m b m c m. Note jwj çm. Show there is no division of w into uvxyz such that jvyj ç1, jvxyj çm, and uv i xy i z 2L for i =0;1;2;:::. Case 1: Neither v nor y can contain 2 or more distinct symbols. If v contains a's and b's, then uv 2 xy 2 z=2l since there will be b's before a's. Thus, v and y can be only a's, b's, or c's ènot mixedè. Case 2: v = a t1, then y = a t2 or b t3 èjvxyj çmè If y = a t2, then uv 2 xy 2 z = a m+t1+t2 b m c m =2 L since t 1 + t 2 é 0, nèaèénèbè's ènumber of a's is greater than number of b'sè If y = b t3, then uv 2 xy 2 z = a m+t1 b m+t3 c m =2 L since t 1 + t 3 é 0, either nèaèénècè's or nèbèénècè's. Case 3: v = b t1, then y = b t2 or c t3 If y = b t2, then uv 2 xy 2 z = a m b m+t1+t2 c m =2 L since t 1 + t 2 é 0, nèbèénèaè's. If y = c t3, then uv 2 xy 2 z = a m b m+t1 c m+t3 Case 4: v = c t1, then y = c t2 then, uv 2 xy 2 z = a m b m c m+t1+t2 =2 L since t 1 + t 3 é 0, either nèbèénèaè's or nècèénèaè's. =2 L since t 1 + t 2 é 0, nècèénèaè's. Thus, there is no breakdown of w into uvxyz such that jvyj ç1, jvxyj çmand for all i ç 0, uv i xy i z is in L. Contradiction, thus, L is not a CFL. Q.E.D. 2

3 Example Why would we want to recognize a language of the type fa n b n c n : n ç 1g? Example: Consider L = fa n b n c p : péné0g. Show L is not a CFL. æ Proof: Assume L is a CFL and apply the pumping lemma. Let m be the constant in the pumping lemma and consider w = Note jwj çm. Show there is no division of w into uvxyz such that jvyj ç1, jvxyj çm, and uv i xy i z 2L for i =0;1;2;:::. Thus, there is no breakdown of w into uvxyz such that jvyj ç1, jvxyj çmand for all i ç 0, uv i xy i z is in L. Contradiction, thus, L is not a CFL. Q.E.D. 3

4 Example: Consider L = fa j b k : k = j 2 g. Show L is not a CFL. æ Proof: Assume L is a CFL and apply the pumping lemma. Let m be the constant in the pumping lemma and consider w = Show there is no division of w into uvxyz such that jvyj ç1, jvxyj çm, and uv i xy i z 2L for i =0;1;2;:::. Case 1: Neither v nor y can contain 2 or more distinct symbols. If v contains a's and b's, then uv 2 xy 2 z=2l since there will be b's before a's. Thus, v and y can be only a's, and b's ènot mixedè. Thus, there is no breakdown of w into uvxyz such that jvyj ç1, jvxyj çmand for all i ç 0, uv i xy i z is in L. Contradiction, thus, L is not a CFL. Q.E.D. Exercise: Prove the following is not a CFL by applying the pumping lemma. èanswer is at the end of this handoutè. Consider L = fa 2n b 2p c n d p : n; p ç 0g. Show L is not a CFL. 4

5 Example: Consider L = fw çww : w 2 æ æ g,æ=fa; bg, where çw is the string w with each occurence of a replaced by b and each occurence of b replaced by a. For example, w = baaa, çw = abbb, w çw = baaaabbb. Show L is not a CFL. æ Proof: Assume L is a CFL and apply the pumping lemma. Let m be the constant in the pumping lemma and consider w = Show there is no division of w into uvxyz such that jvyj ç1, jvxyj çm, and uv i xy i z 2L for i =0;1;2;:::. Thus, there is no breakdown of w into uvxyz such that jvyj ç1, jvxyj çmand for all i ç 0, uv i xy i z is in L. Contradiction, thus, L is not a CFL. Q.E.D. 5

6 Example: Consider L = fa n b p b p a n g. L is a CFL. The pumping lemma should apply! Let m ç 4 be the constant in the pumping lemma. Consider w = a m b m b m a m. We can break w into uvxyz, with: If you apply the pumping lemma to a CFL, then you should ænd a partition of w that works! Chap 8.2 Closure Properties of CFL's Theorem CFL's are closed under union, concatenation, and star-closure. æ Proof: Given2CFGG 1 =èv 1 ;T 1 ;R 1 ;S 1 è and G 2 =èv 2 ;T 2 ;P 2 ;S 2 è í Union: Construct G 3 s.t. LèG 3 è=lèg 1 èëlèg 2 è. G 3 =èv 3 ;T 3 ;R 3 ;S 3 è í Concatenation: Construct G 3 s.t. LèG 3 è=lèg 1 èælèg 2 è. G 3 =èv 3 ;T 3 ;R 3 ;S 3 è 6

7 í Star-Closure Construct G 3 s.t. LèG 3 è=lèg 1 è æ G 3 =èv 3 ;T 3 ;R 3 ;S 3 è QED. Theorem CFL's are NOT closed under intersection and complementation. æ Proof: í Intersection: í Complementation: 7

8 Theorem: CFL's are closed under regular intersection. If L 1 is CFL and L 2 is regular, then L 1 ë L 2 is CFL. æ Proof: èsketchè This proof is similar to the construction proof in which we showed regular languages are closed under intersection. We take a NPDA for L 1 and a DFA for L 2 and construct a NPDA for L 1 ë L 2. M 1 =èq 1 ;æ;,;æ 1 ;q 0 ;z;f 1 èisannpda such that LèM 1 è=l 1. M 2 =èq 2 ;æ;æ 2 ;q 0 0 ;F 2èisaDFA such that LèM 2 è=l 2. Example of replacing arcs ènot a Proof!è: 8

9 Note this is not a proof, but sketches how we will combine the DFA and NPDA. We must formally deæne æ 3. If then Must show if and only if Must show: w 2 LèM 3 èiæw2lèm 1 è and w 2 LèM 2 è. QED. 9

10 Questions about CFL: 1. Decide if CFL is empty? 2. Decide if CFL is inænite? Example: Consider L = fa 2n b 2m c n d m : n; m ç 0g. Show L is not a CFL. æ Proof: Assume L is a CFL and apply the pumping lemma. Let m be the constant in the pumping lemma and consider w = a 2m b 2m c m d m. Show there is no division of w into uvxyz such that jvyj ç1, jvxyj çm, and uv i xy i z 2L for i =0;1;2;:::. Case 1: Neither v nor y can contain 2 or more distinct symbols. If v contains a's and b's, then uv 2 xy 2 z=2l since there will be b's before a's. Thus, v and y can be only a's, b's, c's, or d's ènot mixedè. Case 2: v = a t1, then y = a t2 or b t3 èjvxyj çmè If y = a t2, then uv 2 xy 2 z = a 2m+t1+t2 b 2m c m d m =2 L since t 1 + t 2 é 0, the number of a's is not twice the number of c's. If y = b t3, then uv 2 xy 2 z = a 2m+t1 b 2m+t3 c m d m =2 L since t 1 + t 3 é 0, either the number of a's èdenoted nèaèè is not twice nècè ornèbè is not twice nèdè. Case 3: v = b t1, then y = b t2 or c t3 If y = b t2, then uv 2 xy 2 z = a 2m b 2m+t1+t2 c m d m =2 L since t 1 + t 2 é 0, nèbèé 2ænèdè. If y = c t3, then uv 2 xy 2 z = a 2m b 2m+t1 c m+t3 d m =2 L since t 1 + t 3 é 0, either nèbèé 2ænèdè or 2ænècèénèaè. Case 4: v = c t1, then y = c t2 or d t3 If y = c t2, then uv 2 xy 2 z = a 2m b 2m c m+t1+t2 d m =2 L since t 1 + t 2 é 0, 2ænècèénèaè. If y = d t3, then uv 2 xy 2 z = a 2m b 2m c m+t1 d m+t3 2ænèdèénèbè. Case 5: v = d t1, then y = d t2 then uv 2 xy 2 z = a 2m b 2m c m d m+t1+t2 =2 L since t 1 + t 3 é 0, either 2ænècèénèaè or =2 L since t 1 + t 2 é 0, 2ænèdèénècè. Thus, there is no breakdown of w into uvxyz such that jvyj ç1, jvxyj çmand for all i ç 0, uv i xy i z is in L. Contradiction, thus, L is not a CFL. Q.E.D. 10

Automata and Computability. Solutions to Exercises

Automata and Computability. Solutions to Exercises Automata and Computability Solutions to Exercises Fall 25 Alexis Maciel Department of Computer Science Clarkson University Copyright c 25 Alexis Maciel ii Contents Preface vii Introduction 2 Finite Automata

More information

SRM UNIVERSITY FACULTY OF ENGINEERING & TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF SOFTWARE ENGINEERING COURSE PLAN

SRM UNIVERSITY FACULTY OF ENGINEERING & TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF SOFTWARE ENGINEERING COURSE PLAN Course Code : CS0355 SRM UNIVERSITY FACULTY OF ENGINEERING & TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF SOFTWARE ENGINEERING COURSE PLAN Course Title : THEORY OF COMPUTATION Semester : VI Course : June

More information

Model 2.4 Faculty member + student

Model 2.4 Faculty member + student Model 2.4 Faculty member + student Course syllabus for Formal languages and Automata Theory. Faculty member information: Name of faculty member responsible for the course Office Hours Office Number Email

More information

Increasing Interaction and Support in the Formal Languages and Automata Theory Course

Increasing Interaction and Support in the Formal Languages and Automata Theory Course Increasing Interaction and Support in the Formal Languages and Automata Theory Course [Extended Abstract] Susan H. Rodger rodger@cs.duke.edu Jinghui Lim Stephen Reading ABSTRACT The introduction of educational

More information

Pushdown automata. Informatics 2A: Lecture 9. Alex Simpson. 3 October, 2014. School of Informatics University of Edinburgh als@inf.ed.ac.

Pushdown automata. Informatics 2A: Lecture 9. Alex Simpson. 3 October, 2014. School of Informatics University of Edinburgh als@inf.ed.ac. Pushdown automata Informatics 2A: Lecture 9 Alex Simpson School of Informatics University of Edinburgh als@inf.ed.ac.uk 3 October, 2014 1 / 17 Recap of lecture 8 Context-free languages are defined by context-free

More information

6.045: Automata, Computability, and Complexity Or, Great Ideas in Theoretical Computer Science Spring, 2010. Class 4 Nancy Lynch

6.045: Automata, Computability, and Complexity Or, Great Ideas in Theoretical Computer Science Spring, 2010. Class 4 Nancy Lynch 6.045: Automata, Computability, and Complexity Or, Great Ideas in Theoretical Computer Science Spring, 2010 Class 4 Nancy Lynch Today Two more models of computation: Nondeterministic Finite Automata (NFAs)

More information

Overview of E0222: Automata and Computability

Overview of E0222: Automata and Computability Overview of E0222: Automata and Computability Deepak D Souza Department of Computer Science and Automation Indian Institute of Science, Bangalore. August 3, 2011 What this course is about What we study

More information

Chapter 7 Uncomputability

Chapter 7 Uncomputability Chapter 7 Uncomputability 190 7.1 Introduction Undecidability of concrete problems. First undecidable problem obtained by diagonalisation. Other undecidable problems obtained by means of the reduction

More information

ÖVNINGSUPPGIFTER I SAMMANHANGSFRIA SPRÅK. 15 april 2003. Master Edition

ÖVNINGSUPPGIFTER I SAMMANHANGSFRIA SPRÅK. 15 april 2003. Master Edition ÖVNINGSUPPGIFTER I SAMMANHANGSFRIA SPRÅK 5 april 23 Master Edition CONTEXT FREE LANGUAGES & PUSH-DOWN AUTOMATA CONTEXT-FREE GRAMMARS, CFG Problems Sudkamp Problem. (3.2.) Which language generates the grammar

More information

C H A P T E R Regular Expressions regular expression

C H A P T E R Regular Expressions regular expression 7 CHAPTER Regular Expressions Most programmers and other power-users of computer systems have used tools that match text patterns. You may have used a Web search engine with a pattern like travel cancun

More information

Formal Languages and Automata Theory - Regular Expressions and Finite Automata -

Formal Languages and Automata Theory - Regular Expressions and Finite Automata - Formal Languages and Automata Theory - Regular Expressions and Finite Automata - Samarjit Chakraborty Computer Engineering and Networks Laboratory Swiss Federal Institute of Technology (ETH) Zürich March

More information

Increasing Interaction and Support in the Formal Languages and Automata Theory Course

Increasing Interaction and Support in the Formal Languages and Automata Theory Course Increasing Interaction and Support in the Formal Languages and Automata Theory Course Susan H. Rodger Duke University ITiCSE 2007 June 25, 2007 Supported by NSF Grant DUE 0442513. Outline Overview of JFLAP

More information

Full and Complete Binary Trees

Full and Complete Binary Trees Full and Complete Binary Trees Binary Tree Theorems 1 Here are two important types of binary trees. Note that the definitions, while similar, are logically independent. Definition: a binary tree T is full

More information

Ambiguity, closure properties, Overview of ambiguity, and Chomsky s standard form

Ambiguity, closure properties, Overview of ambiguity, and Chomsky s standard form Ambiguity, closure properties, and Chomsky s normal form Overview of ambiguity, and Chomsky s standard form The notion of ambiguity Convention: we assume that in every substitution, the leftmost remaining

More information

Automata on Infinite Words and Trees

Automata on Infinite Words and Trees Automata on Infinite Words and Trees Course notes for the course Automata on Infinite Words and Trees given by Dr. Meghyn Bienvenu at Universität Bremen in the 2009-2010 winter semester Last modified:

More information

Regular Expressions with Nested Levels of Back Referencing Form a Hierarchy

Regular Expressions with Nested Levels of Back Referencing Form a Hierarchy Regular Expressions with Nested Levels of Back Referencing Form a Hierarchy Kim S. Larsen Odense University Abstract For many years, regular expressions with back referencing have been used in a variety

More information

Mathematics for Computer Science/Software Engineering. Notes for the course MSM1F3 Dr. R. A. Wilson

Mathematics for Computer Science/Software Engineering. Notes for the course MSM1F3 Dr. R. A. Wilson Mathematics for Computer Science/Software Engineering Notes for the course MSM1F3 Dr. R. A. Wilson October 1996 Chapter 1 Logic Lecture no. 1. We introduce the concept of a proposition, which is a statement

More information

Introduction to Automata Theory. Reading: Chapter 1

Introduction to Automata Theory. Reading: Chapter 1 Introduction to Automata Theory Reading: Chapter 1 1 What is Automata Theory? Study of abstract computing devices, or machines Automaton = an abstract computing device Note: A device need not even be a

More information

Computer Architecture Syllabus of Qualifying Examination

Computer Architecture Syllabus of Qualifying Examination Computer Architecture Syllabus of Qualifying Examination PhD in Engineering with a focus in Computer Science Reference course: CS 5200 Computer Architecture, College of EAS, UCCS Created by Prof. Xiaobo

More information

Philadelphia University Faculty of Information Technology Department of Computer Science First Semester, 2007/2008.

Philadelphia University Faculty of Information Technology Department of Computer Science First Semester, 2007/2008. Philadelphia University Faculty of Information Technology Department of Computer Science First Semester, 2007/2008 Course Syllabus Course Title: Theory of Computation Course Level: 3 Lecture Time: Course

More information

CS5236 Advanced Automata Theory

CS5236 Advanced Automata Theory CS5236 Advanced Automata Theory Frank Stephan Semester I, Academic Year 2012-2013 Advanced Automata Theory is a lecture which will first review the basics of formal languages and automata theory and then

More information

SOLUTIONS TO ASSIGNMENT 1 MATH 576

SOLUTIONS TO ASSIGNMENT 1 MATH 576 SOLUTIONS TO ASSIGNMENT 1 MATH 576 SOLUTIONS BY OLIVIER MARTIN 13 #5. Let T be the topology generated by A on X. We want to show T = J B J where B is the set of all topologies J on X with A J. This amounts

More information

(IALC, Chapters 8 and 9) Introduction to Turing s life, Turing machines, universal machines, unsolvable problems.

(IALC, Chapters 8 and 9) Introduction to Turing s life, Turing machines, universal machines, unsolvable problems. 3130CIT: Theory of Computation Turing machines and undecidability (IALC, Chapters 8 and 9) Introduction to Turing s life, Turing machines, universal machines, unsolvable problems. An undecidable problem

More information

Regular Languages and Finite State Machines

Regular Languages and Finite State Machines Regular Languages and Finite State Machines Plan for the Day: Mathematical preliminaries - some review One application formal definition of finite automata Examples 1 Sets A set is an unordered collection

More information

The Halting Problem is Undecidable

The Halting Problem is Undecidable 185 Corollary G = { M, w w L(M) } is not Turing-recognizable. Proof. = ERR, where ERR is the easy to decide language: ERR = { x { 0, 1 }* x does not have a prefix that is a valid code for a Turing machine

More information

CS 341: Foundations of Computer Science II elearning Section Syllabus, Spring 2015

CS 341: Foundations of Computer Science II elearning Section Syllabus, Spring 2015 CS 341: Foundations of Computer Science II elearning Section Syllabus, Spring 2015 Course Info Instructor: Prof. Marvin K. Nakayama Office: GITC 4312 Phone: 973-596-3398 E-mail: marvin@njit.edu (Be sure

More information

Automata and Formal Languages

Automata and Formal Languages Automata and Formal Languages Winter 2009-2010 Yacov Hel-Or 1 What this course is all about This course is about mathematical models of computation We ll study different machine models (finite automata,

More information

Set operations and Venn Diagrams. COPYRIGHT 2006 by LAVON B. PAGE

Set operations and Venn Diagrams. COPYRIGHT 2006 by LAVON B. PAGE Set operations and Venn Diagrams Set operations and Venn diagrams! = { x x " and x " } This is the intersection of and. # = { x x " or x " } This is the union of and. n element of! belongs to both and,

More information

Handout #Ch7 San Skulrattanakulchai Gustavus Adolphus College Dec 6, 2010. Chapter 7: Digraphs

Handout #Ch7 San Skulrattanakulchai Gustavus Adolphus College Dec 6, 2010. Chapter 7: Digraphs MCS-236: Graph Theory Handout #Ch7 San Skulrattanakulchai Gustavus Adolphus College Dec 6, 2010 Chapter 7: Digraphs Strong Digraphs Definitions. A digraph is an ordered pair (V, E), where V is the set

More information

Formal Grammars and Languages

Formal Grammars and Languages Formal Grammars and Languages Tao Jiang Department of Computer Science McMaster University Hamilton, Ontario L8S 4K1, Canada Bala Ravikumar Department of Computer Science University of Rhode Island Kingston,

More information

Tree-representation of set families and applications to combinatorial decompositions

Tree-representation of set families and applications to combinatorial decompositions Tree-representation of set families and applications to combinatorial decompositions Binh-Minh Bui-Xuan a, Michel Habib b Michaël Rao c a Department of Informatics, University of Bergen, Norway. buixuan@ii.uib.no

More information

If n is odd, then 3n + 7 is even.

If n is odd, then 3n + 7 is even. Proof: Proof: We suppose... that 3n + 7 is even. that 3n + 7 is even. Since n is odd, there exists an integer k so that n = 2k + 1. that 3n + 7 is even. Since n is odd, there exists an integer k so that

More information

CS 3719 (Theory of Computation and Algorithms) Lecture 4

CS 3719 (Theory of Computation and Algorithms) Lecture 4 CS 3719 (Theory of Computation and Algorithms) Lecture 4 Antonina Kolokolova January 18, 2012 1 Undecidable languages 1.1 Church-Turing thesis Let s recap how it all started. In 1990, Hilbert stated a

More information

Tenacity and rupture degree of permutation graphs of complete bipartite graphs

Tenacity and rupture degree of permutation graphs of complete bipartite graphs Tenacity and rupture degree of permutation graphs of complete bipartite graphs Fengwei Li, Qingfang Ye and Xueliang Li Department of mathematics, Shaoxing University, Shaoxing Zhejiang 312000, P.R. China

More information

Push-down Automata and Context-free Grammars

Push-down Automata and Context-free Grammars 14 Push-down Automata and Context-free Grammars This chapter details the design of push-down automata (PDA) for various languages, the conversion of CFGs to PDAs, and vice versa. In particular, after formally

More information

CS 598CSC: Combinatorial Optimization Lecture date: 2/4/2010

CS 598CSC: Combinatorial Optimization Lecture date: 2/4/2010 CS 598CSC: Combinatorial Optimization Lecture date: /4/010 Instructor: Chandra Chekuri Scribe: David Morrison Gomory-Hu Trees (The work in this section closely follows [3]) Let G = (V, E) be an undirected

More information

Using Hands-On Visualizations to Teach Computer Science from Beginning Courses to Advanced Courses

Using Hands-On Visualizations to Teach Computer Science from Beginning Courses to Advanced Courses Using Hands-On Visualizations to Teach Computer Science from Beginning Courses to Advanced Courses Susan H. Rodger Department of Computer Science Duke University Durham, NC 27705 rodger@cs.duke.edu Abstract

More information

Deterministic Finite Automata

Deterministic Finite Automata 1 Deterministic Finite Automata Definition: A deterministic finite automaton (DFA) consists of 1. a finite set of states (often denoted Q) 2. a finite set Σ of symbols (alphabet) 3. a transition function

More information

1. Prove that the empty set is a subset of every set.

1. Prove that the empty set is a subset of every set. 1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since

More information

All trees contain a large induced subgraph having all degrees 1 (mod k)

All trees contain a large induced subgraph having all degrees 1 (mod k) All trees contain a large induced subgraph having all degrees 1 (mod k) David M. Berman, A.J. Radcliffe, A.D. Scott, Hong Wang, and Larry Wargo *Department of Mathematics University of New Orleans New

More information

The Optimum One-Pass Strategy for Juliet

The Optimum One-Pass Strategy for Juliet Master s Thesis One-Pass Strategies for Context-Free Games Christian Cöster August 2015 Examiners: Prof. Dr. Thomas Schwentick Prof. Dr. Christoph Buchheim Technische Universität Dortmund Fakultät für

More information

Odd induced subgraphs in graphs of maximum degree three

Odd induced subgraphs in graphs of maximum degree three Odd induced subgraphs in graphs of maximum degree three David M. Berman, Hong Wang, and Larry Wargo Department of Mathematics University of New Orleans New Orleans, Louisiana, USA 70148 Abstract A long-standing

More information

ASSIGNMENT ONE SOLUTIONS MATH 4805 / COMP 4805 / MATH 5605

ASSIGNMENT ONE SOLUTIONS MATH 4805 / COMP 4805 / MATH 5605 ASSIGNMENT ONE SOLUTIONS MATH 4805 / COMP 4805 / MATH 5605 (1) (a) (0 + 1) 010 (finite automata below). (b) First observe that the following regular expression generates the binary strings with an even

More information

Find-The-Number. 1 Find-The-Number With Comps

Find-The-Number. 1 Find-The-Number With Comps Find-The-Number 1 Find-The-Number With Comps Consider the following two-person game, which we call Find-The-Number with Comps. Player A (for answerer) has a number x between 1 and 1000. Player Q (for questioner)

More information

Finite Automata. Reading: Chapter 2

Finite Automata. Reading: Chapter 2 Finite Automata Reading: Chapter 2 1 Finite Automaton (FA) Informally, a state diagram that comprehensively captures all possible states and transitions that a machine can take while responding to a stream

More information

ω-automata Automata that accept (or reject) words of infinite length. Languages of infinite words appear:

ω-automata Automata that accept (or reject) words of infinite length. Languages of infinite words appear: ω-automata ω-automata Automata that accept (or reject) words of infinite length. Languages of infinite words appear: in verification, as encodings of non-terminating executions of a program. in arithmetic,

More information

CSE 135: Introduction to Theory of Computation Decidability and Recognizability

CSE 135: Introduction to Theory of Computation Decidability and Recognizability CSE 135: Introduction to Theory of Computation Decidability and Recognizability Sungjin Im University of California, Merced 04-28, 30-2014 High-Level Descriptions of Computation Instead of giving a Turing

More information

Lecture 17 : Equivalence and Order Relations DRAFT

Lecture 17 : Equivalence and Order Relations DRAFT CS/Math 240: Introduction to Discrete Mathematics 3/31/2011 Lecture 17 : Equivalence and Order Relations Instructor: Dieter van Melkebeek Scribe: Dalibor Zelený DRAFT Last lecture we introduced the notion

More information

Metric Spaces. Chapter 1

Metric Spaces. Chapter 1 Chapter 1 Metric Spaces Many of the arguments you have seen in several variable calculus are almost identical to the corresponding arguments in one variable calculus, especially arguments concerning convergence

More information

Graphs without proper subgraphs of minimum degree 3 and short cycles

Graphs without proper subgraphs of minimum degree 3 and short cycles Graphs without proper subgraphs of minimum degree 3 and short cycles Lothar Narins, Alexey Pokrovskiy, Tibor Szabó Department of Mathematics, Freie Universität, Berlin, Germany. August 22, 2014 Abstract

More information

Computational Models Lecture 8, Spring 2009

Computational Models Lecture 8, Spring 2009 Slides modified by Benny Chor, based on original slides by Maurice Herlihy, Brown Univ. p. 1 Computational Models Lecture 8, Spring 2009 Encoding of TMs Universal Turing Machines The Halting/Acceptance

More information

INTRODUCTORY SET THEORY

INTRODUCTORY SET THEORY M.Sc. program in mathematics INTRODUCTORY SET THEORY Katalin Károlyi Department of Applied Analysis, Eötvös Loránd University H-1088 Budapest, Múzeum krt. 6-8. CONTENTS 1. SETS Set, equal sets, subset,

More information

THE SEARCH FOR NATURAL DEFINABILITY IN THE TURING DEGREES

THE SEARCH FOR NATURAL DEFINABILITY IN THE TURING DEGREES THE SEARCH FOR NATURAL DEFINABILITY IN THE TURING DEGREES ANDREW E.M. LEWIS 1. Introduction This will be a course on the Turing degrees. We shall assume very little background knowledge: familiarity with

More information

Chapter 4 Complementary Sets Of Systems Of Congruences Proceedings NCUR VII. è1993è, Vol. II, pp. 793í796. Jeærey F. Gold Department of Mathematics, Department of Physics University of Utah Don H. Tucker

More information

THE TURING DEGREES AND THEIR LACK OF LINEAR ORDER

THE TURING DEGREES AND THEIR LACK OF LINEAR ORDER THE TURING DEGREES AND THEIR LACK OF LINEAR ORDER JASPER DEANTONIO Abstract. This paper is a study of the Turing Degrees, which are levels of incomputability naturally arising from sets of natural numbers.

More information

An Innocent Investigation

An Innocent Investigation An Innocent Investigation D. Joyce, Clark University January 2006 The beginning. Have you ever wondered why every number is either even or odd? I don t mean to ask if you ever wondered whether every number

More information

Data Structures Fibonacci Heaps, Amortized Analysis

Data Structures Fibonacci Heaps, Amortized Analysis Chapter 4 Data Structures Fibonacci Heaps, Amortized Analysis Algorithm Theory WS 2012/13 Fabian Kuhn Fibonacci Heaps Lacy merge variant of binomial heaps: Do not merge trees as long as possible Structure:

More information

Finite Automata. Reading: Chapter 2

Finite Automata. Reading: Chapter 2 Finite Automata Reading: Chapter 2 1 Finite Automata Informally, a state machine that comprehensively captures all possible states and transitions that a machine can take while responding to a stream (or

More information

1 Approximating Set Cover

1 Approximating Set Cover CS 05: Algorithms (Grad) Feb 2-24, 2005 Approximating Set Cover. Definition An Instance (X, F ) of the set-covering problem consists of a finite set X and a family F of subset of X, such that every elemennt

More information

Every tree contains a large induced subgraph with all degrees odd

Every tree contains a large induced subgraph with all degrees odd Every tree contains a large induced subgraph with all degrees odd A.J. Radcliffe Carnegie Mellon University, Pittsburgh, PA A.D. Scott Department of Pure Mathematics and Mathematical Statistics University

More information

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2 CS 70 Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2 Proofs Intuitively, the concept of proof should already be familiar We all like to assert things, and few of us

More information

Parsing Beyond Context-Free Grammars: Introduction

Parsing Beyond Context-Free Grammars: Introduction Parsing Beyond Context-Free Grammars: Introduction Laura Kallmeyer Heinrich-Heine-Universität Düsseldorf Sommersemester 2016 Parsing Beyond CFG 1 Introduction Overview 1. CFG and natural languages 2. Polynomial

More information

MATHEMATICAL INDUCTION. Mathematical Induction. This is a powerful method to prove properties of positive integers.

MATHEMATICAL INDUCTION. Mathematical Induction. This is a powerful method to prove properties of positive integers. MATHEMATICAL INDUCTION MIGUEL A LERMA (Last updated: February 8, 003) Mathematical Induction This is a powerful method to prove properties of positive integers Principle of Mathematical Induction Let P

More information

Matthias F.M. Stallmann Department of Computer Science North Carolina State University Raleigh, NC 27695-8206

Matthias F.M. Stallmann Department of Computer Science North Carolina State University Raleigh, NC 27695-8206 Matthias F.M. Stallmann Department of Computer Science North Carolina State University Raleigh, NC 27695-8206 August, 1990 UNIFORM PLANAR EMBEDDING IS NP-COMPLETE* MATTHIAS F.M. STALLMANN Key Words. planar

More information

Doug Ravenel. October 15, 2008

Doug Ravenel. October 15, 2008 Doug Ravenel University of Rochester October 15, 2008 s about Euclid s Some s about primes that every mathematician should know (Euclid, 300 BC) There are infinitely numbers. is very elementary, and we

More information

Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011

Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 A. Miller 1. Introduction. The definitions of metric space and topological space were developed in the early 1900 s, largely

More information

MA651 Topology. Lecture 6. Separation Axioms.

MA651 Topology. Lecture 6. Separation Axioms. MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples

More information

CS103B Handout 17 Winter 2007 February 26, 2007 Languages and Regular Expressions

CS103B Handout 17 Winter 2007 February 26, 2007 Languages and Regular Expressions CS103B Handout 17 Winter 2007 February 26, 2007 Languages and Regular Expressions Theory of Formal Languages In the English language, we distinguish between three different identities: letter, word, sentence.

More information

CPSC 121: Models of Computation Assignment #4, due Wednesday, July 22nd, 2009 at 14:00

CPSC 121: Models of Computation Assignment #4, due Wednesday, July 22nd, 2009 at 14:00 CPSC 2: Models of Computation ssignment #4, due Wednesday, July 22nd, 29 at 4: Submission Instructions Type or write your assignment on clean sheets of paper with question numbers prominently labeled.

More information

Computability Theory

Computability Theory CSC 438F/2404F Notes (S. Cook and T. Pitassi) Fall, 2014 Computability Theory This section is partly inspired by the material in A Course in Mathematical Logic by Bell and Machover, Chap 6, sections 1-10.

More information

Elementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.

Elementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook. Elementary Number Theory and Methods of Proof CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.edu/~cse215 1 Number theory Properties: 2 Properties of integers (whole

More information

CODING TRUE ARITHMETIC IN THE MEDVEDEV AND MUCHNIK DEGREES

CODING TRUE ARITHMETIC IN THE MEDVEDEV AND MUCHNIK DEGREES CODING TRUE ARITHMETIC IN THE MEDVEDEV AND MUCHNIK DEGREES PAUL SHAFER Abstract. We prove that the first-order theory of the Medvedev degrees, the first-order theory of the Muchnik degrees, and the third-order

More information

Pushdown Automata. place the input head on the leftmost input symbol. while symbol read = b and pile contains discs advance head remove disc from pile

Pushdown Automata. place the input head on the leftmost input symbol. while symbol read = b and pile contains discs advance head remove disc from pile Pushdown Automata In the last section we found that restricting the computational power of computing devices produced solvable decision problems for the class of sets accepted by finite automata. But along

More information

Theory of Computation Class Notes 1

Theory of Computation Class Notes 1 Theory of Computation Class Notes 1 1 based on the books by Sudkamp and by Hopcroft, Motwani and Ullman ii Contents 1 Introduction 1 1.1 Sets.............................................. 1 1.2 Functions

More information

1. Introduction. PROPER HOLOMORPHIC MAPPINGS BETWEEN RIGID POLYNOMIAL DOMAINS IN C n+1

1. Introduction. PROPER HOLOMORPHIC MAPPINGS BETWEEN RIGID POLYNOMIAL DOMAINS IN C n+1 Publ. Mat. 45 (2001), 69 77 PROPER HOLOMORPHIC MAPPINGS BETWEEN RIGID POLYNOMIAL DOMAINS IN C n+1 Bernard Coupet and Nabil Ourimi Abstract We describe the branch locus of proper holomorphic mappings between

More information

Approximated Distributed Minimum Vertex Cover Algorithms for Bounded Degree Graphs

Approximated Distributed Minimum Vertex Cover Algorithms for Bounded Degree Graphs Approximated Distributed Minimum Vertex Cover Algorithms for Bounded Degree Graphs Yong Zhang 1.2, Francis Y.L. Chin 2, and Hing-Fung Ting 2 1 College of Mathematics and Computer Science, Hebei University,

More information

Extension of measure

Extension of measure 1 Extension of measure Sayan Mukherjee Dynkin s π λ theorem We will soon need to define probability measures on infinite and possible uncountable sets, like the power set of the naturals. This is hard.

More information

Critical points of once continuously differentiable functions are important because they are the only points that can be local maxima or minima.

Critical points of once continuously differentiable functions are important because they are the only points that can be local maxima or minima. Lecture 0: Convexity and Optimization We say that if f is a once continuously differentiable function on an interval I, and x is a point in the interior of I that x is a critical point of f if f (x) =

More information

COMMUTATIVE RINGS. Definition: A domain is a commutative ring R that satisfies the cancellation law for multiplication:

COMMUTATIVE RINGS. Definition: A domain is a commutative ring R that satisfies the cancellation law for multiplication: COMMUTATIVE RINGS Definition: A commutative ring R is a set with two operations, addition and multiplication, such that: (i) R is an abelian group under addition; (ii) ab = ba for all a, b R (commutative

More information

Rewriting of Visibly Pushdown Languages for XML Data Integration

Rewriting of Visibly Pushdown Languages for XML Data Integration Rewriting of Visibly Pushdown Languages for XML Data Integration Alex Thomo University of Victoria British Columbia, Canada thomo@cs.uvic.ca S. Venkatesh University of Victoria British Columbia, Canada

More information

Lights and Darks of the Star-Free Star

Lights and Darks of the Star-Free Star Lights and Darks of the Star-Free Star Edward Ochmański & Krystyna Stawikowska Nicolaus Copernicus University, Toruń, Poland Introduction: star may destroy recognizability In (finitely generated) trace

More information

Computer Science Department. Technion - IIT, Haifa, Israel. Itai and Rodeh [IR] have proved that for any 2-connected graph G and any vertex s G there

Computer Science Department. Technion - IIT, Haifa, Israel. Itai and Rodeh [IR] have proved that for any 2-connected graph G and any vertex s G there - 1 - THREE TREE-PATHS Avram Zehavi Alon Itai Computer Science Department Technion - IIT, Haifa, Israel Abstract Itai and Rodeh [IR] have proved that for any 2-connected graph G and any vertex s G there

More information

Solutions to Homework 6 Mathematics 503 Foundations of Mathematics Spring 2014

Solutions to Homework 6 Mathematics 503 Foundations of Mathematics Spring 2014 Solutions to Homework 6 Mathematics 503 Foundations of Mathematics Spring 2014 3.4: 1. If m is any integer, then m(m + 1) = m 2 + m is the product of m and its successor. That it to say, m 2 + m is the

More information

Algebraic Structures II

Algebraic Structures II MAS 305 Algebraic Structures II Notes 12 Autumn 2006 Factorization in integral domains Lemma If a, b, c are elements of an integral domain R and ab = ac then either a = 0 R or b = c. Proof ab = ac a(b

More information

Discrete Mathematics. Hans Cuypers. October 11, 2007

Discrete Mathematics. Hans Cuypers. October 11, 2007 Hans Cuypers October 11, 2007 1 Contents 1. Relations 4 1.1. Binary relations................................ 4 1.2. Equivalence relations............................. 6 1.3. Relations and Directed Graphs.......................

More information

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 3 Fall 2008 III. Spaces with special properties III.1 : Compact spaces I Problems from Munkres, 26, pp. 170 172 3. Show that a finite union of compact subspaces

More information

Regular Languages and Finite Automata

Regular Languages and Finite Automata Regular Languages and Finite Automata A C Norman, Lent Term 1996 Part IA 1 Introduction This course is short, but it is present in Part 1A because of the way it introduces links between many different

More information

MCS 563 Spring 2014 Analytic Symbolic Computation Wednesday 9 April. Hilbert Polynomials

MCS 563 Spring 2014 Analytic Symbolic Computation Wednesday 9 April. Hilbert Polynomials Hilbert Polynomials For a monomial ideal, we derive the dimension counting the monomials in the complement, arriving at the notion of the Hilbert polynomial. The first half of the note is derived from

More information

This asserts two sets are equal iff they have the same elements, that is, a set is determined by its elements.

This asserts two sets are equal iff they have the same elements, that is, a set is determined by its elements. 3. Axioms of Set theory Before presenting the axioms of set theory, we first make a few basic comments about the relevant first order logic. We will give a somewhat more detailed discussion later, but

More information

Solutions to In-Class Problems Week 4, Mon.

Solutions to In-Class Problems Week 4, Mon. Massachusetts Institute of Technology 6.042J/18.062J, Fall 05: Mathematics for Computer Science September 26 Prof. Albert R. Meyer and Prof. Ronitt Rubinfeld revised September 26, 2005, 1050 minutes Solutions

More information

FIBRATION SEQUENCES AND PULLBACK SQUARES. Contents. 2. Connectivity and fiber sequences. 3

FIBRATION SEQUENCES AND PULLBACK SQUARES. Contents. 2. Connectivity and fiber sequences. 3 FIRTION SEQUENES ND PULLK SQURES RY MLKIEWIH bstract. We lay out some foundational facts about fibration sequences and pullback squares of topological spaces. We pay careful attention to connectivity ranges

More information

Degree-associated reconstruction parameters of complete multipartite graphs and their complements

Degree-associated reconstruction parameters of complete multipartite graphs and their complements Degree-associated reconstruction parameters of complete multipartite graphs and their complements Meijie Ma, Huangping Shi, Hannah Spinoza, Douglas B. West January 23, 2014 Abstract Avertex-deleted subgraphofagraphgisacard.

More information

Lecture I FINITE AUTOMATA

Lecture I FINITE AUTOMATA 1. Regular Sets and DFA Lecture I Page 1 Lecture I FINITE AUTOMATA Lecture 1: Honors Theory, Spring 02, Yap We introduce finite automata (deterministic and nondeterministic) and regular languages. Some

More information

Degrees that are not degrees of categoricity

Degrees that are not degrees of categoricity Degrees that are not degrees of categoricity Bernard A. Anderson Department of Mathematics and Physical Sciences Gordon State College banderson@gordonstate.edu www.gordonstate.edu/faculty/banderson Barbara

More information

Automata Theory. Şubat 2006 Tuğrul Yılmaz Ankara Üniversitesi

Automata Theory. Şubat 2006 Tuğrul Yılmaz Ankara Üniversitesi Automata Theory Automata theory is the study of abstract computing devices. A. M. Turing studied an abstract machine that had all the capabilities of today s computers. Turing s goal was to describe the

More information

On end degrees and infinite cycles in locally finite graphs

On end degrees and infinite cycles in locally finite graphs On end degrees and infinite cycles in locally finite graphs Henning Bruhn Maya Stein Abstract We introduce a natural extension of the vertex degree to ends. For the cycle space C(G) as proposed by Diestel

More information

Mathematics for Econometrics, Fourth Edition

Mathematics for Econometrics, Fourth Edition Mathematics for Econometrics, Fourth Edition Phoebus J. Dhrymes 1 July 2012 1 c Phoebus J. Dhrymes, 2012. Preliminary material; not to be cited or disseminated without the author s permission. 2 Contents

More information

Two Way F finite Automata and Three Ways to Solve Them

Two Way F finite Automata and Three Ways to Solve Them An Exponential Gap between LasVegas and Deterministic Sweeping Finite Automata Christos Kapoutsis, Richard Královič, and Tobias Mömke Department of Computer Science, ETH Zürich Abstract. A two-way finite

More information

Logic in Computer Science: Logic Gates

Logic in Computer Science: Logic Gates Logic in Computer Science: Logic Gates Lila Kari The University of Western Ontario Logic in Computer Science: Logic Gates CS2209, Applied Logic for Computer Science 1 / 49 Logic and bit operations Computers

More information

Fast nondeterministic recognition of context-free languages using two queues

Fast nondeterministic recognition of context-free languages using two queues Fast nondeterministic recognition of context-free languages using two queues Burton Rosenberg University of Miami Abstract We show how to accept a context-free language nondeterministically in O( n log

More information