1. Discrete Mathematics IT223 Sem. 2, SY 2012-13
EDITHA L. HEBRON, CoE, MSIS
Information Technology Program
CTET, USEP Tagum-Mabini Campus
Some slides taken from Margaret H. Dunham, Department of Computer Science and Engineering, Southern Methodist University; Dr. Eric Gossett, Bethel University, St. Paul, Minnesota; Discrete Mathematical Structures: Theory and Applications by D.S. Malik and M.K. Sen

2. IT223: Discrete mathematics
This course deals with the study of DM as a branch of mathematics that deals with arrangements of distinct objects. It includes a wide variety of topics and techniques that arise in everyday life, such as how to find the best route from one city to another, and where the object-representations are arranged in a map. It is used by decision-makers in our society, from workers in government, to those in health care, transportation, and telecommunications. Its various applications help students see the relevance of mathematics in the real world.

3. Introduction
What Is Discrete Mathematics? Examples of its applications in IT: mathematical cryptography, which is based on number theory (the study of positive integers 1,2,3,. . .)  computer security and electronic banking.  linear programming  coding theory, theory of computing,etc

4. The mathematics in these applications is collectively called discrete mathematics.
Discrete Mathematics is a collection of mathematical topics that examine and use finite or countable elements of infinite mathematical objects.
What it isn’t: continuous
Discrete: consisting of distinct or unconnected elements

5. I. Sets: Learning Objectives
Learn about sets
Explore various operations on sets
Become familiar with Venn diagrams
In IT applications:
Learn how to represent sets in computer memory
Learn how to implement set operations in programs

6. Sets Definition: Well-defined collection of distinct objects
Members or Elements: part of the collection
Roster Method: Description of a set by listing the elements, enclosed with braces
Examples:
Vowels = {a,e,i,o,u}
Primary colors = {red, blue, yellow}
Membership examples
“a belongs to the set of Vowels” is written as:
a  Vowels
“j does not belong to the set of Vowels:
j  Vowels

7. Basic Notations for Sets
Use variables (any capital letter from the alphabet), ex. sets S, T, U,…
Denote a set S in writing by listing all of its elements within the curly braces.
S={a, b, c} is the set of whatever 3
objects are denoted by a,b,c.
A={2,4,6,8} is a set of even nos. greater than 0 bt less than 10..or..even nos. from 2 to 8
Denote a set using Set builder notation:

8. Sets Standard Symbols which denote sets of numbers
N : The set of all natural numbers (i.e.,all positive
integers)
Z : The set of all integers
Z+ : The set of all positive integers
Z* : The set of all nonzero integers
E : The set of all even integers
Q : The set of all rational numbers
Q* : The set of all nonzero rational numbers
Q+ : The set of all positive rational numbers
R : The set of all real numbers
R* : The set of all nonzero real numbers
R+ : The set of all positive real numbers
C : The set of all complex numbers
C* : The set of all nonzero complex numbers

9. “X is a subset of Y” is written as X  Y
Sets
Subsets
“X is a subset of Y” is written as X  Y
“X is not a subset of Y” is written X Y
Example:as
X = {a,e,i,o,u}, Y = {a, i, u} and
Z= {b,c,d,f,g}
Y  X, since every element of Y is an element of X
Y  Z, since a  Y, but a  Z

10. Sets
Superset
X and Y are sets. If X  Y, then “X is contained in Y” or “Y contains X” or Y is a superset of X, written Y  X
Proper Subset
X and Y are sets. X is a proper subset of Y if X  Y and there exists at least one element in Y that is not in X. This is written X  Y.
Example:
X = {a,e,i,o,u}, Y = {a,e,i,o,u,y}
X  Y , since y  Y, but y  X

11. Set Equality Empty (Null) Set Sets
X and Y are sets. They are said to be equal if every element of X is an element of Y and every element of Y is an element of X, i.e. X  Y and Y  X
Examples:
{1,2,3} = {2,3,1}
X = {red, blue, yellow} and Y = {c | c is a primary color} Therefore, X=Y
Empty (Null) Set
A Set is Empty (Null) if it contains no elements.
The Empty Set is written as 
The Empty Set is a subset of every set

12. Finite and Infinite Sets
X is a set. If there exists a nonnegative integer n such that X has n elements, then X is called a finite set with n elements.
If a set is not finite, then it is an infinite set.
Examples:
Y = {1,2,3} is a finite set
P = {red, blue, yellow} is a finite set
E , the set of all even integers, is an infinite set
 , the Empty Set, is a finite set with 0 elements

13. If P = {red, blue, yellow}, then |P| = 3 Singleton
Sets
Cardinality of Sets
Let S be a finite set with n distinct elements, where n ≥ 0. Then |S| = n , where the cardinality (number of elements) of S is n
Example:
If P = {red, blue, yellow}, then |P| = 3
Singleton
A set with only one element is a singleton
H = { 4 }, |H| = 1, H is a singleton

14. An arbitrarily chosen, but fixed set
Sets
Power Set
For any set X ,the power set of X ,written P(X),is the set of all subsets of X
Example:
If X = {red, blue, yellow}, then P(X) = {  , {red}, {blue}, {yellow}, {red,blue}, {red, yellow}, {blue, yellow}, {red, blue, yellow} }
Universal Set
An arbitrarily chosen, but fixed set

15. Shaded portion represents the corresponding set
Sets
Venn Diagrams
Abstract visualization of a Universal set, U as a rectangle, with all subsets of U shown as circles.
Shaded portion represents the corresponding set
Example:
In Figure 1, Set X, shaded, is a subset of the Universal set, U

16. Set Operations and Venn Diagrams
Union of Sets
Example: If X = {1,2,3,4,5} and Y = {5,6,7,8,9},
then
XY = {1,2,3,4,5,6,7,8,9}

17. Intersection of Sets
Example: If X = {1,2,3,4,5} and Y = {5,6,7,8,9}, then X ∩ Y = {5}

18. Disjoint Sets
Example: If X = {1,2,3,4,} and Y = {6,7,8,9}, then X ∩ Y = 

19. Difference
Example: If X = {a,b,c,d} and Y = {c,d,e,f}, then X – Y = {a,b} and Y – X = {e,f}

20. Complement
The complement of a set X with respect to a universal set U, denoted by , is defined to be = {x |x  U, but x  X} a d c f e b
Set X
Set U
Example: If U = {a,b,c,d,e,f} and X = {c,d,e,f},
then
= {a,b}

21. More examples of Sets

22. Ordered Pair
X and Y are sets. If x  X and y  Y, then an ordered pair is written (x,y)
Order of elements is important. (x,y) is not necessarily equal to (y,x)
Cartesian Product
The Cartesian product of two sets X and Y ,written X × Y ,is the set
X × Y ={(x,y)|x ∈ X , y ∈ Y}
For any set X, X ×  =  =  × X
Example: X = {a,b}, Y = {c,d}
X × Y = {(a,c), (a,d), (b,c), (b,d)}
Y × X = {(c,a), (d,a), (c,b), (d,b)}

24. Computer Representation of Sets
A Set may be stored in a computer in an array as an unordered list
Problem: Difficult to perform operations on the set.
Linked List
Solution: use Bit Strings (Bit Map)
A Bit String is a sequence of 0s and 1s
Length of a Bit String is the number of digits in the string
Elements appear in order in the bit string
A 0 indicates an element is absent, a 1 indicates that the element is present
A set may be implemented as a file

25. Computer Implementation of Set Operations
Bit Map
File
Operations
Intersection
Union
Element of
Difference
Complement
Power Set

26. The number of Subsets:
The empty set has only one subset (namely, itself).
A set with a single element, say {a}, has two subsets: the set {a} itself and the empty set ∅.
A set with two elements, say {a, b} has four subsets: ∅,{a},{b} and {a, b}
the subsets of a set {a, b, c} with 3 elements:
∅,{a},{b},{c},{a, b},{b, c},{a, c},{a, b, c}
We can make a little table from these data:
Looking at these values, we observe that the number of subsets is a power of 2: if the set
has n elements, the result is 2n
Number of elements 1 2 3
Number of subsets 4 8

27. Theorem 2.1
A set with n elements has 2n subsets.
Proving by illustration (follow the steps):
Select a subset called S.
2. Start from the circle on the top (called a
node)
3. Put the question “is a an element of S?”
inside the node.
4. Make two arrows going out of the node,
labeled with the two possible answers to this
question (Yes and No).
5. Make a decision and follow the appropriate
arrow (also called an edge) to the node at
the other end.

28. 6. Put the next question “is a2 an element
of S?” to the newly created node.
7. Follow the arrow corresponding to your
answer to the next node, which contains
the third (and in this case last) question.
8. Answer the last question “is a3
an element of S?” to determine the
subset.

29. This picture is called a tree.
Note: the number of nodes doubles from level to level as we go down, the last level contains
23 = 8 nodes (and if we had an n-element set, it would contain 2n nodes)
This picture is called a tree.

30. {∅},{a},{ab}, {abc}, {ac}, {b}, {bc}, {c}.
6. In making the list of subsets, start with ∅ (null set
or empty set), then list all subsets with 1 elements,
then list all subsets with 2 elements, etc.
7. For the subsets of {a, b, c}, we get the
list
{∅},{a},{ab}, {abc}, {ac}, {b}, {bc}, {c}.
8. Use another way of denoting subset, the
“bit map” where logic binary digits (bits for
short), the 0 and 1, are used
9. Encode subset {a,c} as 101 because a is in
the subset, b is not, and c is in it.
(continue encoding the other subsets using
3-string of bits 0 and 1)

31. other words, representations in base 2) 0 = 02 1 = 12 2 = 102 3 = 112
Review: the binary representation of integers (in
other words, representations in base 2)
0 =
1 =
2 =
3 =
4 =
5 =
6 =
7 =
8 = 10002
9 = 10012
10 = 10102
Note: write subscript of 2 to indicate binary number system

33. Other topics in Sets: Sequences
Theorem 2.2: The number of strings of length n composed of k given elements is kn
Theorem 2.3 Suppose that we want to form strings of length n so that we can use any of a given set of k1 symbols as the first element of the string, any of a given set of k2 symbols as the second element of the string, etc., any of a given set of kn symbols as the last element of the string. Then the total number of strings we can form is k1k2   kn.

34. 2.26 Draw a tree illustrating the way we counted the number of strings of length 2 formed from the characters a, b and c, and explain how it gives the answer. Do thesame for the more general problem when n = 3, k1 = 2, k2 = 3, k3 = 2.
2.27 In a sport shop, there are T-shirts of 5 different colors, shorts of 4 different colors,and socks of 3 different colors. How many different uniforms can you compose fromthese items?
2.28 On a ticket for a succer sweepstake, you have to guess 1, 2, or X for each of 13games. How many different ways can you fill out the ticket?
2.29 We roll a dice twice; how many different outcomes can we have (a 1 followed bya 4 is different from a 4 followed by a 1)?
2.30 We have 20 different presents that we want to distribute to 12 children. It isnot required that every child gets something; it could even happen that we give all thepresents to the same child. In how many ways can we distribute the presents?
2.31 We have 20 kinds of presents; this time, we have a large supply from each. Wewant to give presents to 12 children. Again, it is not required that every child getssomething; but no child can get two copies of the same present. In how many ways canwe give presents?

35. Permutations Theorem 2.4: The number of permutations of n
objects in n!.

36. Outline Introduction Sets Logic & Boolean Algebra Proof Techniques
Counting Principles
Combinatorics
Relations,Functions
Graphs/Trees
Boolean Functions, Circuits

37. Logic: Learning Objectives
Learn about statements (propositions)
Learn how to use logical connectives to combine statements
Explore how to draw conclusions using various argument forms
Become familiar with quantifiers and predicates
Applications in IT:
Boolean data type
If statement
Impact of negations
Implementation of quantifiers

38. Mathematical Logic
Definition: Methods of reasoning, provides rules and techniques to determine whether an argument is valid
Theorem: a statement that can be shown to be true (under certain conditions)
Example: If x is an even integer, then x + 1 is an odd integer
This statement is true under the condition that x is an integer is true

39. Mathematical Logic
A statement, or a proposition, is a declarative sentence that is either true or false, but not both
Uppercase letters denote propositions
Examples:
P: 2 is an even number (true)
Q: 7 is an even number (false)
R: A is a vowel (true)
The following are not propositions:
P: My cat is beautiful
Q: My house is big

40. Mathematical Logic Truth value
One of the values “truth” (T) or “falsity” (F) assigned to a statement
Negation
The negation of P, written P , is the statement obtained by negating statement P
Example:
P: A is a consonant
P : it is the case that A is not a consonant
Truth Table
P P
T F
F T

41. Conjunction Mathematical Logic
Let P and Q be statements. The conjunction of P and Q, written P ^ Q , is the statement formed by joining statements P and Q using the word “and”
The statement P ^ Q is true if both p and q are true; otherwise P ^ Q is false
Truth Table for Conjunction: P Q
P ^ Q F T

42. Mathematical Logic Disjunction
Let P and Q be statements. The disjunction of P and Q, written P v Q , is the statement formed by joining statements P and Q using the word “or”
The statement P v Q is true if at least one of the statements P and Q is true; otherwise P v Q is false
The symbol v is read “or”
Truth Table for Disjunction: P Q
P ^ Q F T

43. Mathematical Logic Implication
Let P and Q be statements.The statement “if P then Q” is called an implication or condition.
The implication “if P then Q” is written P  Q
P is called the hypothesis, Q is called the conclusion
Truth Table for Implication: P Q
P ^ Q F T

44. Mathematical Logic Implication
Let P: Today is Sunday and Q: I will wash the car.
P  Q :
If today is Sunday, then I will wash the car
The converse of this implication is written Q  P
If I wash the car, then today is Sunday
The inverse of this implication is
If today is not Sunday, then I will not wash the car
The contrapositive of this implication is
If I do not wash the car, then today is not Sunday

45. Mathematical Logic Biimplication
Let P and Q be statements. The statement “P if and only if Q” is called the biimplication or biconditional of P and Q
The biconditional “P if and only if Q” is written P  Q
“P if and only if Q”
Truth Table for the Biconditional:

46. Mathematical Logic Precedence of logical connectives is: highest
^ second highest
v third highest
→ fourth highest
↔ fifth highest

47. Mathematical Logic Tautology Contradiction
A statement formula A is said to be a tautology if the truth value of A is T for any assignment of the truth values T and F to the statement variables occurring in A
Contradiction
A statement formula A is said to be a contradiction if the truth value of A is F for any assignment of the truth values T and F to the statement variables occurring in A

48. Mathematical Logic Logically Implies
A statement formula A is said to logically imply a statement formula B if the statement formula A → B is a tautology. If A logically implies B, then symbolically we write A → B
Logically Equivalent
A statement formula A is said to be logically equivalent to a statement formula B if the statement formula
A ↔ B is a tautology. If A is logically equivalent to B , then symbolically we write A B

50. Inference and Substitution

52. Quantifiers and First Order Logic
Predicate or Propositional Function
Let x be a variable and D be a set; P(x) is a sentence
Then P(x) is called a predicate or propositional function with respect to the set D if for each value of x in D, P(x) is a statement; i.e., P(x) is true or false
Moreover, D is called the domain (universe) of discourse and x is called the free variable

53. Quantifiers and First Order Logic
Universal Quantifier
Let P(x) be a predicate and let D be the domain of the discourse. The universal quantification of P(x) is the statement:
For all x, P(x) or
For every x, P(x)
The symbol is read as “for all and every” or
Two-place predicate:

54. Quantifiers and First Order Logic
Existential Quantifier
Let P(x) be a predicate and let D be the universe of discourse. The existential quantification of P(x) is the statement:
There exists x, P(x)
The symbol is read as “there exists” or
Bound Variable
The variable appearing in: or

55. Quantifiers and First Order Logic
Negation of Predicates (DeMorgan’s Laws)
Example:
If P(x) is the statement “x has won a race” where the domain of discourse is all runners, then the universal quantification of P(x) is , i.e., every runner has won a race. The negation of this statement is “it is not the case that every runner has won a race. Therefore there exists at least one runner who has not won a race. Therefore:

57. Two-Element Boolean Algebra
The Boolean Algebra on B= {0, 1} is defined as follows:
· ¯

58. Duality and the Fundamental Boolean Algebra Properties
The dual of any Boolean theorem is also a theorem.
Parentheses must be used to preserve operator precedence.

59. Logic and CS Logic is basis of ALU (Boolean Algebra)
Logic is crucial to IF statements
AND OR
NOT
Implementation of quantifiers
Looping
Database Query Languages
Relational Algebra
Relational Calculus
SQL