# Discrete Mathematics for Computer Science

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1 CS 441 Discrete Mathematics for CS Discrete Mathematics for Computer Science Milos Hauskrecht 5329 Sennott Square Course administrivia Instructor: Milos Hauskrecht 5329 Sennott Square TAs: Zitao Liu 5406 Sennot Square, Course web page: 1

2 Course administrivia Lectures: Tuesdays, Thursdays: 11:00 AM - 12:15 PM 205 LAWRN Recitations: held in 5313 SENSQ Section 1: Thursdays 4:00 4:50 PM Section 2: Fridays: 11:00 11:50 AM Course administrivia Textbook: Kenneth H. Rosen. Discrete Mathematics and Its Applications, 7th Edition, McGraw Hill, Exercises from the book will be given for homework assignments 6 th edition 2

3 Grading policy Course administrivia Exams: (50%) Homework assignments: 40% Lectures/recitations: 10% Course administrivia Weekly homework assignments Assigned in class and posted on the course web page Due one week later at the beginning of the lecture No extension policy Collaboration policy: You may discuss the material covered in the course with your fellow students in order to understand it better However, homework assignments should be worked on and written up individually 3

4 Course administrivia Course policies: Any un-intellectual behavior and cheating on exams, homework assignments, quizzes will be dealt with severely If you feel you may have violated the rules speak to us as soon as possible. Please make sure you read, understand and abide by the Academic Integrity Code for the Faculty and College of Arts and Sciences. Course syllabus Tentative topics: Logic and proofs Sets Functions Integers and modular arithmetic Sequences and summations Counting Probability Relations Graphs 4

5 Course administrivia Questions Discrete mathematics Discrete mathematics study of mathematical structures and objects that are fundamentally discrete rather than continuous. Examples of objects with discrete values are integers, graphs, or statements in logic. Discrete mathematics and computer science. Concepts from discrete mathematics are useful for describing objects and problems in computer algorithms and programming languages. These have applications in cryptography, automated theorem proving, and software development. 5

6 Course syllabus Tentative topics: Logic and proofs Sets Functions Integers and modular arithmetic Sequences and summations Counting Probability Relations Graphs Course syllabus Tentative topics: Logic and proofs Sets Functions Integers and modular arithmetic Sequences and summations Counting Probability Relations Graphs 6

7 Logic Logic: defines a formal language for representing knowledge and for making logical inferences It helps us to understand how to construct a valid argument Logic defines: Syntax of statements The meaning of statements The rules of logical inference (manipulation) The simplest logic Propositional logic Definition: A proposition is a statement that is either true or false. Examples: Pitt is located in the Oakland section of Pittsburgh. (T) = 8. (F) It is raining today. (either T or F) 7

8 Propositional logic Examples (cont.): How are you? a question is not a proposition x + 5 = 3 since x is not specified, neither true nor false 2 is a prime number. (T) She is very talented. since she is not specified, neither true nor false There are other life forms on other planets in the universe. either T or F Composite statements More complex propositional statements can be build from elementary statements using logical connectives. Example: Proposition A: It rains outside Proposition B: We will see a movie A new (combined) proposition: If it rains outside then we will see a movie 8

9 Composite statements More complex propositional statements can be build from elementary statements using logical connectives. Logical connectives: Negation Conjunction Disjunction Exclusive or Implication Biconditional Negation Definition: Let p be a proposition. The statement "It is not the case that p." is another proposition, called the negation of p. The negation of p is denoted by p and read as "not p." Example: Pitt is located in the Oakland section of Pittsburgh. It is not the case that Pitt is located in the Oakland section of Pittsburgh. Other examples: is not a prime number. It is not the case that buses stop running at 9:00pm. 9

10 Negation Negate the following propositions: It is raining today. It is not raining today. 2 is a prime number. 2 is not a prime number There are other life forms on other planets in the universe. It is not the case that there are other life forms on other planets in the universe. Negation A truth table displays the relationships between truth values (T or F) of different propositions. p p T F F T Rows: all possible values of elementary propositions: 10

11 Conjunction Definition: Let p and q be propositions. The proposition "p and q" denoted by p q, is true when both p and q are true and is false otherwise. The proposition p q is called the conjunction of p and q. Examples: Pitt is located in the Oakland section of Pittsburgh and = 8 It is raining today and 2 is a prime number. 2 is a prime number and is a perfect square and 9 is a prime. Disjunction Definition: Let p and q be propositions. The proposition "p or q" denoted by p q, is false when both p and q are false and is true otherwise. The proposition p q is called the disjunction of p and q. Examples: Pitt is located in the Oakland section of Pittsburgh or = 8. It is raining today or 2 is a prime number. 2 is a prime number or is a perfect square or 9 is a prime. 11

12 Truth tables Conjunction and disjunction Four different combinations of values for p and q p q p q p q T T T F F T F F Rows: all possible combinations of values for elementary propositions: 2 n values Truth tables Conjunction and disjunction Four different combinations of values for p and q p q p q p q T T T T F F F T F F F F NB: p q (the or is used inclusively, i.e., p q is true when either p or q or both are true). 12

13 Truth tables Conjunction and disjunction Four different combinations of values for p and q p q p q p q T T T T T F F T F T F T F F F F NB: p q (the or is used inclusively, i.e., p q is true when either p or q or both are true). Exclusive or Definition: Let p and q be propositions. The proposition "p exclusive or q" denoted by p q, is true when exactly one of p and q is true and it is false otherwise. p q p q T T F T F T F T T F F F 13

14 Implication Definition: Let p and q be propositions. The proposition "p implies q" denoted by p q is called implication. It is false when p is true and q is false and is true otherwise. In p q, p is called the hypothesis and q is called the conclusion. p q p q T T T T F F F T T F F T Implication p q is read in a variety of equivalent ways: if p then q p only if q p is sufficient for q q whenever p Examples: if Steelers win the Super Bowl in 2013 then 2 is a prime. If F then T? 14

15 Implication p q is read in a variety of equivalent ways: if p then q p only if q p is sufficient for q q whenever p Examples: if Steelers win the Super Bowl in 2013 then 2 is a prime. T if today is Tuesday then 2 * 3 = 8. What is the truth value? Implication p q is read in a variety of equivalent ways: if p then q p only if q p is sufficient for q q whenever p Examples: if Steelers win the Super Bowl in 2013 then 2 is a prime. T if today is Tuesday then 2 * 3 = 8. If T then F 15

16 Implication p q is read in a variety of equivalent ways: if p then q p only if q p is sufficient for q q whenever p Examples: if Steelers win the Super Bowl in 2013 then 2 is a prime. T if today is Tuesday then 2 * 3 = 8. F Implication The converse of p q is q p. The contrapositive of p q is q p The inverse of p q is p q Examples: If it snows, the traffic moves slowly. p: it snows q: traffic moves slowly. p q The converse: If the traffic moves slowly then it snows. q p 16

17 Implication The contrapositive of p q is q p The inverse of p q is p q Examples: If it snows, the traffic moves slowly. The contrapositive: If the traffic does not move slowly then it does not snow. q p The inverse: If it does not snow the traffic moves quickly. p q Biconditional Definition: Let p and q be propositions. The biconditional p q (read p if and only if q), is true when p and q have the same truth values and is false otherwise. p q p q T T T T F F F T F F F T Note: two truth values always agree. 17

18 Constructing the truth table Example: Construct a truth table for (p q) ( p q) Simpler if we decompose the sentence to elementary and intermediate propositions p q p p q p q (p q) ( p q) T T T F F T F F Constructing the truth table Example: Construct the truth table for (p q) ( p q) Rows: all possible combinations of values p q p for p elementary q p q (p q) propositions: ( p q) T T 2 n values T F F T F F 18

19 Constructing the truth table Example: Construct the truth table for (p q) ( p q) Typically the target (unknown) compound proposition and its values p q p p q p q (p q) ( p q) T T T F F F T F Auxiliary compound propositions and their values Constructing the truth table Examples: Construct a truth table for (p q) ( p q) p q p p q p q (p q) ( p q) T T F T F F F T T F F T 19

20 Constructing the truth table Examples: Construct a truth table for (p q) ( p q) p q p p q p q (p q) ( p q) T T F T T F F F F T T T F F T T Constructing the truth table Examples: Construct a truth table for (p q) ( p q) p q p p q p q (p q) ( p q) T T F T F T F F F T F T T T T F F T T F 20

21 Constructing the truth table Examples: Construct a truth table for (p q) ( p q) Simpler if we decompose the sentence to elementary and intermediate propositions p q p p q p q (p q) ( p q) T T F T F F T F F F T F F T T T T T F F T T F F 21

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