Relations and FunctionsClass 12 Mathematics Important Points

15 Sections
  • 1
    Definition of a Relation

    A relation R from a non-empty set A to a non-empty set B is a subset of the Cartesian product A×BA \times B. If (a,b)∈R(a, b) \in R, we say that 'a' is related to 'b' and write aRba R b.

  • 2
    Empty and Universal Relations

    An empty relation R in a set A is the relation where no element is related to any other, i.e., R=ϕ⊂A×AR = \phi \subset A \times A. A universal relation R is when every element of A is related to every element of A, i.e., R=A×AR = A \times A.

  • 3
    Reflexive Relation

    A relation R on a set A is reflexive if (a,a)∈R(a, a) \in R for every element a∈Aa \in A. In simple terms, every element must be related to itself.

  • 4
    Symmetric Relation

    A relation R on a set A is symmetric if (a1,a2)∈R(a_1, a_2) \in R implies that (a2,a1)∈R(a_2, a_1) \in R for all a1,a2∈Aa_1, a_2 \in A. If 'a' is related to 'b', then 'b' must be related to 'a'.

  • 5
    Transitive Relation

    A relation R on a set A is transitive if (a1,a2)∈R(a_1, a_2) \in R and (a2,a3)∈R(a_2, a_3) \in R implies that (a1,a3)∈R(a_1, a_3) \in R for all a1,a2,a3∈Aa_1, a_2, a_3 \in A.

  • 6
    Equivalence Relation

    A relation R on a set A is an equivalence relation if it is reflexive, symmetric, and transitive. This type of relation partitions the set into disjoint equivalence classes.

  • 7
    Equivalence Class

    For an equivalence relation R on a set X, the equivalence class of an element a∈Xa \in X, denoted by [a][a], is the set of all elements in X that are related to a. That is, [a]={x∈X:(x,a)∈R}[a] = \{x \in X : (x, a) \in R\}.

  • 8
    Definition of a Function

    A function ff from a set A to a set B, denoted f:A→Bf: A \rightarrow B, is a rule that assigns to each element x∈Ax \in A exactly one element y∈By \in B. Set A is the domain and set B is the co-domain.

  • 9
    One-one or Injective Function

    A function f:X→Yf: X \rightarrow Y is one-one (or injective) if distinct elements in the domain have distinct images in the co-domain. To prove injectivity, show that f(x1)=f(x2)f(x_1) = f(x_2) implies x1=x2x_1 = x_2.

  • 10
    Onto or Surjective Function

    A function f:X→Yf: X \rightarrow Y is onto (or surjective) if every element in the co-domain Y has at least one pre-image in the domain X. To prove surjectivity, show that for any y∈Yy \in Y, there exists an x∈Xx \in X such that f(x)=yf(x) = y.

  • 11
    Bijective Function

    A function is bijective if it is both one-one (injective) and onto (surjective). A bijective function creates a perfect one-to-one correspondence between the elements of its domain and co-domain.

  • 12
    Composition of Functions

    Given two functions f:A→Bf: A \rightarrow B and g:B→Cg: B \rightarrow C, their composition, denoted g∘fg \circ f, is a function from A to C defined by (g∘f)(x)=g(f(x))(g \circ f)(x) = g(f(x)) for all x∈Ax \in A. Note that function composition is not generally commutative, i.e., f∘g≠g∘ff \circ g \neq g \circ f.

  • 13
    Invertible Function

    A function f:X→Yf: X \rightarrow Y is invertible if there exists a function g:Y→Xg: Y \rightarrow X such that g∘f=IXg \circ f = I_X and f∘g=IYf \circ g = I_Y, where IXI_X and IYI_Y are identity functions on sets X and Y respectively. The function g is called the inverse of f and is denoted by f−1f^{-1}.

  • 14
    Condition for Invertibility

    A function is invertible if and only if it is bijective (one-one and onto). This is the fundamental condition to check before attempting to find the inverse of a function.

  • 15
    Functions on Finite Sets

    For a function f:X→Xf: X \rightarrow X where X is a finite set, the function is one-one if and only if it is onto. This is a special property that does not hold for infinite sets.

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