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Chapter 1
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SETS, RELATIONS AND SEQUENCE
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Chapter Overview
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We start this chapter with set as we did in Ordinary General Level Mathematics. We will then
introduce special sets namely ordered power sets, ordered pairs and Cartesian products. Then
a discussion is given to binary relations or relations.The chapter will be concluded with set
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of numbers, sequence and series in which again emphasis will be on arithmetic and geometric
progressions and arithmetic and geometric series. Hence by the end of this you should be able
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to do the following:
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1. describe a set
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2. perform algebra of set
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3. draw venn diagrams
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4. define a relation
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5. find domain, range, source and target sets of a relation
6. describe set of numbers
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7. define a sequence and perform relevant calculations with respect to sequence
8. Use Principle of Mathematical Induction to do some prrofs
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1.1 Elementary Set Theory
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Definition 1.1 A set is a well defined collection of objects.
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The objects which make up the set are called members or elements of the set. Generally
we denote sets with capital(upper case) letters A, B, . . ., Z and the elements with small(lower
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case) letters a,b, . . .,z. Note that the elements need not always be a letter.
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1.1.1 Membership and Description of a Set
We described sets in two ways namely:
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(i)Listing or Roaster Method:In this method, if possible one directly names each element
of the set separated by commas enclosed between braces. Examples are V = {a, e, i, o, u},
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E = {2, 4, 6, . . . , 100}. That is set of English Vowels and positive even integers lees than or
equal to 100 respectively.
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(ii) Set Builder or Specifier Notation: Here the quality or property of the elements are
given in between braces. Thus we have
V = {x : x is an Englis Vowel} and E = {y/y is an even integer ≤ 100}.
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1.1.2 Equality of Sets
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A set S is said to be equal to another set T if they have same elements. I.e. for all objects
x ∈ S, then x ∈ T and vice-versa or x ∈ S if and only if(iff or ⇔)x ∈ T . Otherwise S ̸= T .
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Hence
{a, b, 2, 3} = {2, a, 3, b}- order of elements immaterial or does violate equality of sets.
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{c, 2, c} = {2, c, 2, c, c, 2, 2, c} - repetition of elements immaterial or does not violate equality of
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sets
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{a, b} = {2, b}.
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1.1.3 Subsets
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If every elements of a set S is an element of a set T , then S is called a subset of T (and T is a
superset of S) and this is denoted by S ⊂ T (S is contained or smaller or included in T ). And
T ⊃ S (T contains or is bigger than or includes S)
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For example,
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DEDE or DEED ⊂ LED
ADD ⊂ DAD
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CAT ⊈ HAT
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Proper Subset: If Set A is a subset of Set B, but Set A is not equal to Set B, then A is said
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to be a proper subset of B, denoted as A ⊂ B.
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Improper Subset: If Set A is a subset of Set B, and Set A is equal to Set B, then A is said
to be an improper subset of B. This is denoted as A ⊆ B.
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Trivial Subset:Is a set who is always a subset of any given set X. The empty set and the
given set X is the only trivial subsets of any given set X.
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Remark 1.2
(i) Two seat A and B are equal if and only if (⇔) they are subsets of each other. I.e. A = B ⇔
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A ⊂ B and B ⊂ A (ii) the inclusion property satisfies:
(◦)A ⊂ A( reflexive property or reflexivity)
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(◦◦)A ⊂ B, B ⊂ C, then A ⊂ C( transitive property or transitivity)
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1.1.4 Algebra of Sets
(a) Empty Set: Is a set which has no element. It is usually denoted by ϕ or {}. For example,
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the set of female Vice-Chancellors of the University of Nigeria from 1960 to 2024.
(b). Union of Sets; The union of two or more sets is a set comprising all the elements which
appears in at least of the sets whose union is being found. Hence if A and B are two sets,
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then the union of A and B is given by
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A ∪ B = {x : x ∈ A or x ∈ B} (1.1)
If χ is a any non empty collection of sets, the union of all sets in χ, is the set of all elements
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which are elements of at least a set in χ and is denoted by {A : A ∈ χ} or A. Hence
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A∈χ
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χ= {A : A ∈ χ} = {x : x ∈ A for some A ∈ χ} (1.2)
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(c). Intersection of Sets; The intersection of two or more sets is a set comprising all the elements
common to the sets. Hence if A and B are two sets, then the union of A and B is given by
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A ∩ B = {x : x ∈ A andr x ∈ B} (1.3)
For any non empty collection F of sets , the set of all elements which are elements of every set
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of F is the intersection of all sets in χ, and is denoted by {A : A ∈ F} or A. Therefore
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A∈F
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F= {A : A ∈ F} = {x : x ∈ A ∀ A ∈ F} (1.4)
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(d) Complement of a Set: If A and B are sets, then A’s complement with respect to B or A
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difference B or A minus B denoted by A\B or A − B is defined as
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A − B = {x ∈ A : x ∈
/ B} (1.5)
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