Mathematics: Class 12 (Book 1) — Chapter 1: Relations and Functions

1.1 Introduction to Relations and Functions

Recall that the concepts of relations, functions, domain, co-domain, and range are fundamental to algebra and calculus. In Class XII, we extend these concepts to study specific types of relations and functions, composition of functions, invertible functions, and binary operations.

Mathematical Definition of a Relation

A relation $R$ from a set $A$ to a set $B$ is mathematically defined as an arbitrary subset of the Cartesian product $A \times B Concordance$.

  • If $(a, b) \in R$, we say that $a$ is related to $b$ under the relation $R$, denoted as $a R b$.
  • If $(a, b) \notin R$, then $a$ is not related to $b$ under $R$.
1.2 Types of Relations

Relations can be classified based on their structural properties on a set $A$. Let $R$ be a relation in a set $A$ (i.e., a subset of $A \times A$).

Core Classifications of Relations
Relation Type Mathematical Condition Systemic Role & Limits
Empty Relation $R = \phi \subset A \times A$ No element of $A$ is related to any element of $A$.
Universal Relation $R = A \times A$ Each element of $A$ is related to every element of $A$.
Reflexive Relation $(a, a) \in R, \forall a \in A$ Every element is related to itself.
Symmetric Relation $(a_1, a_2) \in R \implies (a_2, a_1) \in R, \forall a_1, a_2 \in A$ Order of elements in the relation is reversible.
Transitive Relation $(a_1, a_2) \in R \text{ and } (a_2, a_3) \in R \implies (a_1, a_3) \in R, \forall a_1, a_2, a_3 \in A$ Relational connectivity is chain-transmissible.
Equivalence Relation Reflexive, Symmetric, and Transitive Partitions the set into disjoint equivalence classes.
Equivalence Classes and Partitions

Given an arbitrary equivalence relation $R$ in a set $X$, $R$ divides $X$ into mutually disjoint subsets $A_i$ called partitions or subdivisions of $X$ satisfying:

  1. All elements of $A_i$ are related to each other, for all $i$.
  2. No element of $A_i$ is related to any element of $A_j$, where $i \neq j$.
  3. $\bigcup A_j = X$ and $A_i \cap A_j = \phi$ for $i \neq j$.

The subsets $A_i$ are called equivalence classes. The equivalence class containing an element $a$ is denoted by $[a]$.

Algorithmic Solved Examples

Mathematical Problem Statement: Show that the relation $R$ in the set $\mathbf{Z}$ of integers given by $R = \{(a, b) : 2 \text{ divides } a - b\}$ is an equivalence relation.


Step-by-Step Algorithmic Solution Trace:

  1. Reflexivity: For any $a \in \mathbf{Z}$, $a - a = 0$, which is divisible by $2$. Thus, $(a, a) \in R$ for all $a \in \mathbf{Z}$. Hence, $R$ is reflexive.
  2. Symmetry: Let $(a, b) \in R$. This $\implies 2$ divides $a - b$, so $a - b = 2k$ for some integer $k$. Then, $b - a = -2k = 2(-k)$, which means $2$ divides $b - a$. Thus, $(b, a) \in R$. Hence, $R$ is symmetric.
  3. Transitivity: Let $(a, b) \in R$ and $(b, c) \in R$. This means $a - b = 2k$ and $b - c = 2m$ for some integers $k, m$. Adding these equations gives $a - c = (a - b) + (b - c) = 2k + 2m = 2(k + m)$. Since $k + m$ is an integer, $2$ divides $a - c$, implying $(a, c) \in R$. Hence, $R$ is transitive.

Final Evaluation Output: Since $R$ is reflexive, symmetric, and transitive, it is an equivalence relation in $\mathbf{Z}$.

1.3 Types of Functions

Functions are special types of relations. We classify functions based on how elements of the domain map to the co-domain.

Core Classifications of Functions
Function Type Mathematical Condition Systemic Role & Evaluation Limits
One-One (Injective) $f(x_1) = f(x_2) \implies x_1 = x_2, \forall x_1, x_2 \in X$ Distinct elements in the domain have distinct images in the co-domain.
Many-One $\exists x_1, x_2 \in X \text{ such that } x_1 \neq x_2 \text{ but } f(x_1) = f(x_2)$ Two or more distinct elements in the domain map to the same image.
Onto (Surjective) $\forall y \in Y, \exists x \in X \text{ such that } f(x) = y$ Every element in the co-domain is the image of at least one element in the domain (Range = Co-domain).
One-One and Onto (Bijective) Both injective and surjective Establishes a perfect one-to-one correspondence between domain and co-domain.
Algorithmic Solved Examples

Mathematical Problem Statement: Prove that the function $f : \mathbf{R} \rightarrow \mathbf{R}$, given by $f(x) = 2x$, is one-one and onto.


Step-by-Step Algorithmic Solution Trace:

  1. One-One (Injectivity): Let $x_1, x_2 \in \mathbf{R}$ such that $f(x_1) = f(x_2)$. This $\implies 2x_1 = 2x_2$. Dividing both sides by $2$, we get $x_1 = x_2$. Thus, $f$ is one-one.
  2. Onto (Surjectivity): Let $y \in \mathbf{R}$ (co-domain). We want to find $x \in \mathbf{R}$ (domain) such that $f(x) = y$. Setting $2x = y$ gives $x = \frac{y}{2}$. Since $y \in \mathbf{R}$, $x = \frac{y}{2} \in \mathbf{R}$. Evaluating $f(x)$, we get $f\left(\frac{y}{2}\right) = 2\left(\frac{y}{2}\right) = y$. Thus, $f$ is onto.

Final Evaluation Output: The function $f(x) = 2x$ is bijective (both one-one and onto).

1.4 Composition of Functions and Invertible Functions

We can combine functions using composition and define the inverse of a function under specific conditions.

Composition of Functions

Let $f : A \rightarrow B$ and $g : B \rightarrow C$ be two functions. The composition of $f$ and $g$, denoted by $g \circ f$, is defined as the function $g \circ f : A \rightarrow C$ given by:

$$g \circ f(x) = g(f(x)), \quad \forall x \in A$$
Invertible Functions

A function $f : X \rightarrow Y$ is defined to be invertible if there exists a function $g : Y \rightarrow X$ such that:

$$g \circ f = I_X \quad \text{and} \quad f \circ g = I_Y$$

where $I_X$ and $I_Y$ are identity functions on sets $X$ and $Y$ respectively. The function $g$ is called the inverse of $f$ and is denoted by $f^{-1}$.

  • Theorem: A function $f : X \rightarrow Y$ is invertible if and only if $f$ is one-one and onto (bijective).
Algorithmic Solved Examples

Mathematical Problem Statement: Let $f : \mathbf{N} \rightarrow Y$ be a function defined as $f(x) = 4x + 3$, where $Y = \{y \in \mathbf{N} : y = 4x + 3 \text{ for some } x \in \mathbf{N}\}$. Show that $f$ is invertible. Find the inverse.


Step-by-Step Algorithmic Solution Trace:

  1. Let $y$ be an arbitrary element of $Y$. By definition of $Y$, $y = 4x + 3$ for some $x \in \mathbf{N}$.
  2. Solve for $x$ in terms of $y$: $y - 3 = 4x \implies x = \frac{y - 3}{4}$.
  3. Define a function $g : Y \rightarrow \mathbf{N}$ by $g(y) = \frac{y - 3}{4}$.
  4. Compute $g \circ f(x)$: $g(f(x)) = g(4x + 3) = \frac{(4x + 3) - 3}{4} = \frac{4x}{4} = x = I_{\mathbf{N}}(x)$.
  5. Compute $f \circ g(y)$: $f(g(y)) = f\left(\frac{y - 3}{4}\right) = 4\left(\frac{y - 3}{4}\right) + 3 = (y - 3) + 3 = y = I_Y(y)$.

Final Evaluation Output: Since $g \circ f = I_{\mathbf{N}}$ and $f \circ g = I_Y$, the function $f$ is invertible, and its inverse is $f^{-1}(y) = \frac{y - 3}{4}$.

Historical Chronicle & Summary

Historical Chronicle: Evolution of the Concept of Function

  • Historical Context & Milestones:
    • R. Descartes (1596-1650): Used the word 'function' in 1637 to mean positive integral powers $x^n$ of a variable $x$.
    • James Gregory (1636-1675): Defined function in 1667 as a quantity obtained from other quantities by algebraic or other operations.
    • G. W. Leibnitz (1646-1716): Used 'function' in 1673 to mean a quantity varying from point to point on a curve (e.g., coordinates, slope, tangent).
    • John Bernoulli (1667-1748): Introduced the notation $\phi x$ in 1718.
    • Leonhard Euler (1707-1783): Popularized symbols like $f, F, \phi, \psi$ in 1734.
    • Lejeune Dirichlet (1805-1859): Formulated the modern definition of a function before the set-theoretic definition.
  • Theoretical Foundations: The modern set-theoretic definition of a function was established after set theory was rigorously developed by Georg Cantor (1845-1918).