Published | 2022-05-07 |
Platform | Udemy |
Number of Students | 2 |
Price | $39.99 |
Instructors |
studi live
|
Subjects |
IIT-JEE Main & Advanced | BITSAT | SAT | MSAT | MCAT | State Board | CBSE | ICSE | IGCSE
Sets
Sets and their representations
Empty set
Finite and Infinite sets
Equal sets. Subsets
Subsets of a set of real numbers especially intervals (with notations)
Power set
Universal set
Venn diagrams
Union and Intersection of sets
Difference of sets
Complement of a set
Properties of Complement Sets
Practical Problems based on sets
Relations & Functions
Ordered pairs
Cartesian product of sets
Number of elements in the cartesian product of two finite sets
Cartesian product of the sets of real (up to R × R)
Definition of −
Relation
Pictorial diagrams
Domain
Co-domain
Range of a relation
Function as a special kind of relation from one set to another
Pictorial representation of a function, domain, co-domain and range of a function
Real valued functions, domain and range of these functions −
Constant
Identity
Polynomial
Rational
Modulus
Signum
Exponential
Logarithmic
Greatest integer functions (with their graphs)
Sum, difference, product and quotients of functions
SUMMARY
Sets - This chapter deals with some basic definitions and operations involving sets. These are summarised below:
1. A set is a well-defined collection of objects. A set which does not contain any element is called empty set.
2. A set which consists of a definite number of elements is called finite set, otherwise, the set is called infinite set.
3. Two sets A and B are said to be equal if they have exactly the same elements.
4. A set A is said to be subset of a set B, if every element of A is also an element of B. Intervals are subsets of R.
5. A power set of a set A is collection of all subsets of A. It is denoted by P(A).
6. The union of two sets A and B is the set of all those elements which are either in A or in B.
7. The intersection of two sets A and B is the set of all elements which are common. The difference of two sets A and B in this order is the set of elements which belong to A but not to B.
8. The complement of a subset A of universal set U is the set of all elements of U which are not the elements of A.
9. For any two sets A and B, (A ∪ B)′ = A′ ∩ B′ and ( A ∩ B )′ = A′ ∪ B′
10. If A and B are finite sets such that A ∩ B = φ, then n (A ∪ B) = n (A) + n (B). If A ∩ B ≠ φ, then n (A ∪ B) = n (A) + n (B) – n (A ∩ B)
Relations & Functions - In this chapter, we studied different types of relations and equivalence relation, composition of functions, invertible functions and binary operations. The main features of this chapter are as follows:
1. Empty relation is the relation R in X given by R = φ ⊂ X × X.
2. Universal relation is the relation R in X given by R = X × X.
3. Reflexive relation R in X is a relation with (a, a) ∈ R ∀ a ∈ X.
4. Symmetric relation R in X is a relation satisfying (a, b) ∈ R implies (b, a) ∈ R.
5. Transitive relation R in X is a relation satisfying (a, b) ∈ R and (b, c) ∈ R implies that (a, c) ∈ R.
5. Equivalence relation R in X is a relation which is reflexive, symmetric and transitive.
6. Equivalence class [a] containing a ∈ X for an equivalence relation R in X is the subset of X containing all elements b related to a.
7. A function f : X → Y is one-one (or injective) if f(x1 ) = f(x2 ) ⇒ x1 = x2 ∀ x1 , x2 ∈ X.
8. A function f : X → Y is onto (or surjective) if given any y ∈ Y, ∃ x ∈ X such that f(x) = y.
9. A function f : X → Y is one-one and onto (or bijective), if f is both one-one and onto.
10. The composition of functions f : A → B and g : B → C is the function gof : A → C given by gof(x) = g(f(x)) ∀ x ∈ A.
11. A function f : X → Y is invertible if ∃ g : Y → X such that gof = IX and fog = IY.
12. A function f : X → Y is invertible if and only if f is one-one and onto.