Have you ever noticed how smoothly a car moves on a well-paved road, and how uncomfortable it feels when there is a sudden brake or sharp turn? Mathematics uses a similar idea to describe the behaviour of functions through the concepts of Continuity and Differentiability. In Class 12 Mathematics, a function is said to be continuous if its graph has no breaks, gaps, or jumps, while a function is differentiable if its rate of change is smooth at every point. In simple terms, differentiability implies continuity, but the reverse is not always true. For example, a function with a sharp corner may be continuous but not differentiable at that point.
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These concepts have many real-life applications. Continuity helps in understanding smooth motion, temperature variation, and growth patterns, while differentiability is used to calculate speed, acceleration, and optimisation in physics, economics, and engineering. In this article, you will explore Continuity and Differentiability in a clear and structured way, including definitions, conditions, and easy examples. You will also learn how to check whether a function is continuous or differentiable at a point or over an interval, helping you build strong conceptual clarity for Class 12 board exams and competitive examinations.
In everyday life, imagine you’re drawing a line without lifting your pencil from the paper - the curve flows smoothly from one point to another. That’s what continuity in mathematics feels like. Now imagine checking how steep that line is at every point - that’s differentiability. These two ideas together form the heart of calculus, helping us understand how functions behave and change in the real world.
Continuity tells us whether a function has any sudden jumps, gaps, or breaks. In simple terms, a function is continuous at a point if you can draw its graph around that point without lifting your pen.
Mathematically, a function $f(x)$ is continuous at $x = c$ if:
$\lim_{x \to c} f(x) = f(c)$
This means three things must hold:
$f(c)$ is defined.
$\lim_{x \to c} f(x)$ exists.
The value of the limit equals the function value at that point.
If any of these fail, the function is discontinuous at $x = c$.
This section explains the different kinds of continuity in functions — from continuity at a single point to continuity across an entire interval. You’ll learn how to identify whether a function is smooth, has jumps, or behaves differently at its boundaries.
A function $f(x)$ is continuous at $x = a$ if both the left-hand limit (LHL) and right-hand limit (RHL) exist and are equal to the function’s value at that point.
$\lim_{x \to a^-} f(x) = \lim_{x \to a^+} f(x) = f(a)$
If the left and right limits differ, the graph has a jump discontinuity. If the limit exists but does not equal $f(a)$, it’s a removable discontinuity.
Example:
Let $f(x) = \frac{x^2 - 4}{x - 2}$.
For $x = 2$, the function is not defined, but $\lim_{x \to 2} f(x) = 4$.
If we redefine $f(2) = 4$, the function becomes continuous.
When we check continuity across a range of values, we talk about continuity over an interval.
Open Interval $(a, b)$: The function is continuous at every point between $a$ and $b$.
Closed Interval $[a, b]$: The function is continuous on $(a, b)$, right-continuous at $x = a$, and left-continuous at $x = b$.
Example:
For $f(x) = [x]$, the greatest integer function, the function is continuous in each open interval $(n, n+1)$ but discontinuous at integer points.
Continuous functions behave predictably under basic operations.
The sum, difference, and product of continuous functions are continuous.
If $f(x)$ and $g(x)$ are continuous at $x = a$, then $f(x) \pm g(x)$ and $f(x)g(x)$ are also continuous at $x = a$.
The quotient $\dfrac{f(x)}{g(x)}$ is continuous at $x = a$ if $g(a) \neq 0$.
The composition $f(g(x))$ is continuous at $x = a$ if $g(x)$ is continuous at $a$ and $f(x)$ is continuous at $g(a)$.
Continuous functions defined on closed intervals $[a, b]$ are bounded and achieve both maximum and minimum values (Extreme Value Theorem).
Once a function is continuous, the next question is — can we find its rate of change at each point? That’s where differentiability comes in.
A function $f(x)$ is differentiable at $x = a$ if the derivative $f'(a)$ exists. It is defined as:
$f'(a) = \lim_{h \to 0} \frac{f(a + h) - f(a)}{h}$
If this limit exists and is finite, $f(x)$ has a well-defined tangent at that point. If the limit doesn’t exist or gives different values from the left and right, the function is not differentiable there.
Every differentiable function is continuous, but not every continuous function is differentiable.
If $f(x)$ is differentiable at $x = a$, then $f(x)$ is continuous at $x = a$.
However, continuity alone doesn’t ensure differentiability.
Example:
$f(x) = |x|$ is continuous everywhere, but at $x = 0$,
Left derivative $= -1$ and Right derivative $= 1$,
so $f'(0)$ does not exist — it’s not differentiable at $x = 0$.
Differentiation follows a few basic rules that make calculations easier:
Sum Rule: $(f + g)' = f' + g'$
Difference Rule: $(f - g)' = f' - g'$
Product Rule: $(fg)' = f'g + fg'$
Quotient Rule: $\left(\dfrac{f}{g}\right)' = \dfrac{f'g - fg'}{g^2}$, where $g(x) \neq 0$
Constant Rule: $(k \cdot f)' = k \cdot f'$ for any constant $k$
These form the foundation for more complex differentiation techniques like the chain rule and implicit differentiation.
Here are some standard derivatives to remember:
$(x^n)' = n x^{n-1}$
$(\sin x)' = \cos x$
$(\cos x)' = -\sin x$
$(e^x)' = e^x$
$(\log x)' = \dfrac{1}{x}$ for $x > 0$
$(a^x)' = a^x \log a$
These results are used extensively in calculus problems, especially when verifying differentiability or finding tangent slopes.
A discontinuity occurs when a function suddenly breaks, jumps, or becomes undefined at certain points. Depending on the way the function behaves near those points, discontinuities can be classified into three main types:
Removable Discontinuity:
This happens when the limit of the function exists at a point, but the function’s actual value is either missing or different. On a graph, it looks like a small hole that can be “fixed” by redefining the function at that point.
Example: $f(x) = \dfrac{x^2 - 1}{x - 1}$ is undefined at $x = 1$, but the limit as $x \to 1$ exists, making it a removable discontinuity.
Jump Discontinuity:
A jump discontinuity appears when the left-hand limit (LHL) and right-hand limit (RHL) exist but are not equal. The graph literally “jumps” from one value to another.
Example: The greatest integer function $f(x) = [x]$ shows jump discontinuities at every integer point.
Infinite Discontinuity:
This occurs when the function approaches infinity (or negative infinity) near a certain point. The graph shoots up or down vertically, creating a vertical asymptote.
Example: $f(x) = \dfrac{1}{x}$ has an infinite discontinuity at $x = 0$, where the function becomes unbounded.
A function may fail to be differentiable due to:
Corners or Cusps – sharp turns (e.g., $f(x) = |x|$ at $x = 0$)
Discontinuities – jumps or breaks in the graph
Vertical Tangents – where the slope becomes infinite
Understanding these points helps in analysing real-world curves that change direction abruptly.
Example 1: $f(x) = x^2$
Continuous and differentiable everywhere since the graph is smooth.
Example 2: $f(x) = |x|$
Continuous for all $x$, but not differentiable at $x = 0$.
Example 3: $f(x) = [x]$
Discontinuous at all integer points due to jumps in its graph.
These examples are commonly seen in board exam questions and entrance tests.
Physics: To find velocity and acceleration (rate of change of displacement).
Economics: To study cost, revenue, and profit functions.
Engineering: To analyse stress-strain curves or optimise design functions.
Biology and Medicine: To model population growth or dosage rates that vary smoothly over time.
Question 1:
If the function
$
f(x)=\left\{\begin{array}{cl}
k_1(x-\pi)^2-1 & x \leq \pi \\
k_2 \cos x, & x>\pi
\end{array}\right. \text { is twice }
$
differentiable, then the ordered pair $\left(k_1, k_2\right)$ is equal to :
Solution:
$f(x)$ is continuous and differentiable $f\left(\pi^{-}\right)=f(\pi)=f\left(\pi^{+}\right)$
$
\begin{aligned}
& k_1((\pi)-\pi)^2-1=k_2 \cos (\pi) \\
& -1=k_2 \\
& f(x)=\left\{\begin{array}{l}
2 k_1(x-\pi) ; x \leq \pi \\
-k_2 \sin x ; x>\pi
\end{array}\right. \\
& \mathrm{f}^{\prime}\left(\pi^{-}\right)=\mathrm{f}^{\prime}\left(\pi^{+}\right) \\
& 0=0
\end{aligned}
$
so, differentiable at $x=0$
$
\begin{aligned}
& f^{\prime}(x)=\left\{\begin{array}{c}
2 k_1 \\
-k_2 \cos x ; x>\pi
\end{array}\right. \\
& f^{\prime}\left(\pi^{-}\right)=f^{\prime \prime}\left(\pi^{+}\right) \\
& 2 k_1=k_2 \\
& k_1=\frac{k_2}{2} \\
& \Rightarrow\left(k_1, k_2\right)=\left(\frac{1}{2}, 1\right)
\end{aligned}
$
Hence, the answer is $\left ( \frac{1}{2},1 \right )$.
Question 2:
Let $f: S \rightarrow S$ where $S=(0, \infty)$ be twice differnetiable function such that $f(x+1)=x f(x)$. If $g: S \rightarrow R$ be defined as $g(x)=\log _e f(x)$ then the value of $\left|g^{\prime \prime}(5)-g^{\prime \prime}(1)\right|$ is equal to:
Solution:
$
\begin{aligned}
& \ln f(x+1)=\ln (x f(x)) \\
& \ln f(x+1)=\ln x+\ln f(x) \\
& \Rightarrow \quad g(x+1)=\ln x+g(x) \\
& \Rightarrow \quad g(x+1)-g(x)=\ln x \\
& \Rightarrow \quad g^{\prime \prime}(x+1)-g^{\prime \prime}(x)=-\frac{1}{x^2}
\end{aligned}
$
Put $x=1,2,3,4$
$g^{\prime \prime}(2)-g^{\prime \prime}(1)=-\frac{1}{1^2}$
$g^{\prime \prime}(3)-g^{\prime \prime}(2)=-\frac{1}{2^2}$
$g^{\prime \prime}(4)-g^{\prime \prime}(3)=-\frac{1}{3^2}$
$g^{\prime \prime}(5)-g^{\prime \prime}(4)=-\frac{1}{4^2}$
Add all the equations we get
$
\begin{aligned}
g^{\prime \prime}(5)-g^{\prime \prime}(1) & =-\frac{1}{1^2}-\frac{1}{2^2}-\frac{1}{3^2}-\frac{1}{4^2} \\
\mid g^{\prime \prime}(5)-g^{\prime \prime}(1) & =\frac{205}{144}
\end{aligned}
$
Hence, the answer is the $\frac{205}{144}$.
Question 3:
If $x=t^2, y=t^3$, then $\frac{d^2 y}{d x^2}$ is:
Solution:
Given that, $x=t^2, y=t^3$
$
\begin{aligned}
& \Rightarrow \frac{d x}{d t}=2 t \text { and } \frac{d y}{d t}=3 t^2 \\
& \frac{d y}{d x}=\frac{d y / d t}{d x / d t} \\
& \frac{d y}{d x}=\frac{3 t^2}{2 t}=\frac{3 t}{2} \\
& \frac{d^2 y}{d x^2}=\frac{3}{2} \frac{d t}{d x} \\
& \frac{d^2 y}{d x^2}=\frac{3}{2} \cdot \frac{1}{2 t}\left(\because \frac{d x}{d t}=2 t \Rightarrow \frac{d t}{d x}=\frac{1}{2 t}\right) \\
& \frac{d^2 y}{d x^2}=\frac{3}{4 t}
\end{aligned}
$
Hence, the answer is the $\frac{3}{4t}$.
Question 4:
$y=\log \left(\frac{1-x^2}{1+x^2}\right)$ then $\frac{d y}{d x}$ is equal to:
Solution:
$\begin{aligned} & y=\log \frac{1-x^2}{1+x^2} \\ & \Rightarrow \mathrm{y}=\log \left(1-\mathrm{x}^2\right)-\log \left(1+\mathrm{x}^2\right) \\ & \Rightarrow \frac{d y}{d x}=\frac{1}{1-x^2} \frac{d}{d x}\left(1-x^2\right)-\frac{1}{1+x^2} \frac{d}{d x}\left(1+x^2\right) \\ & \Rightarrow \frac{d y}{d x}=\frac{1}{1-x^2} \cdot(-2 x)-\frac{1}{1+x^2} \cdot(2 x) \\ & \Rightarrow \frac{d y}{d x}=\frac{-2 x}{1-x^2}-\frac{2 x}{1+x^2} \\ & \frac{d y}{d x}=\frac{-2 x\left(1+x^2\right)-2 x\left(1-x^2\right)}{\left(1-x^2\right)\left(1+x^2\right)} \\ & \frac{d y}{d x}=\frac{-2 x-2 x^3-2 x+2 x^3}{\left(1-x^4\right)} \\ & \frac{d y}{d x}=\frac{-4 x}{\left(1-x^4\right)}\end{aligned}$
Hence, the answer is $\frac{-4 x}{1-x^{4}}$.
Question 5:
The function $f(x) = \frac{4-x^2}{4x-x^3}$ is:
Solution:
We have, $f(x)=\frac{4-x^2}{4 x-x^3}$
Now, $f(x)$ is discontinuous where $4 x-x^3=0$.
$
\Rightarrow x\left(4 x-x^2\right)=0 \Rightarrow x=0 \text { or } 4 x-x^3=0 \Rightarrow x=0 \text { or } x= \pm 2
$
$\Rightarrow f(x)$ is discontinuous at exactly three points.
Hence, the answer is "discontinuous at exactly three points".
The chapter on Continuity and Differentiability is a key part of Class 12 Mathematics and builds upon the concepts of limits and derivatives. It is frequently tested in board exams and competitive examinations. The table below highlights the exam-wise focus areas, commonly asked topics, and preparation strategies.
| Exam Name | Focus Area | Common Topics Asked | Preparation Tips |
|---|---|---|---|
| CBSE Board | Conceptual clarity & application | Continuity at a point, differentiability, and derivative formulas | Study the NCERT theory and practice all textbook examples |
| JEE Main | Problem-solving & accuracy | Continuity conditions, differentiability, piecewise functions | Practise MCQs and numerical-based questions regularly |
| JEE Advanced | Analytical thinking | Complex piecewise functions, higher-order derivatives | Solve previous years’ advanced-level questions |
| NEET | Basics & speed | Simple continuity and differentiation problems | Focus on the quick application of formulas |
| State Board Exams (ICSE, UP Board, RBSE, etc) | Theory-oriented | Definitions, conditions, basic problems | Revise textbook concepts and practice solved examples |
| Mathematics Olympiads | Concept application | Advanced continuity and differentiability problems | Strengthen fundamentals and practise higher-level questions |
This section gives you a complete list of key subtopics and concepts covered under Continuity and Differentiability, helping you understand what areas to focus on for exams and practice.
This section compiles all NCERT-based resources for Chapter 5 - Continuity and Differentiability, including structured notes, solved examples, textbook solutions, and exemplar questions for complete revision.
Get subject-wise NCERT study resources with detailed chapter-wise notes and ample practice material to support efficient and focused exam preparation from the following links
| Resource | Mathematics | Physics | Chemistry |
|---|---|---|---|
| NCERT Notes | NCERT Notes Class 12 Maths | NCERT Notes Class 12 Physics | NCERT Notes Class 12 Chemistry |
| NCERT Solutions | NCERT Solutions for Class 12 Mathematics | NCERT Solutions for Class 12 Physics | NCERT Solutions for Class 12 Chemistry |
Check below the recommended books and study materials that cover Continuity and Differentiability in detail, helping students build strong conceptual clarity and practise a wide range of problems for board exams and competitive tests like JEE.
| Book Title | Author / Publisher | Description |
|---|---|---|
| NCERT Class 12 Mathematics | NCERT | Official textbook with clear explanations, examples, and exercises on continuity and differentiability. |
| Problems Plus in IIT Mathematics | A. Das Gupta | Excellent for concept strengthening and practice of calculus-based problems for JEE. |
| Differential Calculus | Amit M. Agarwal (Arihant) | Detailed theory with solved examples and practice questions focused on differentiation concepts. |
| Calculus | Thomas & Finney | Provides an in-depth understanding of continuity and differentiability with strong conceptual explanations. |
| Higher Algebra | Hall & Knight | Useful for strengthening algebraic manipulation involved in differentiability problems. |
Here you’ll find curated practice questions and topic-wise MCQs to test your understanding of continuity, differentiability, and related theorems.
Continuity and Differentiability form a crucial part of Class 12 Mathematics and are essential for understanding the behaviour of functions. A clear grasp of definitions, conditions, and examples helps in analysing smoothness and change accurately. With regular practice and proper revision, students can confidently solve problems related to this chapter in board and competitive examinations.
Frequently Asked Questions (FAQs)
A function is continuous at $\mathrm{x}=\mathrm{c}$ if the function is defined at $x=c$ and if the value of the function at $x=c$ equals the limit of the function at $x=c$ and a function $f(x)$ is differentiable at a point ' $a$ ' in its domain if limit of the function $f^{\prime}(x)$ exists at $x=a$.
For a function $f$ to be differentiable, $f(x)$ should be continuous at $x=a$ and the limit of the function $f^\prime(x)$ should exist at $x=a$.
The formula of derivative is $\operatorname{im}_{b \rightarrow 0} \frac{f(a+h)-f(a)}{h}$.
A point $x=a$ where a function $f(x)$ is not continuous is called a point of discontinuity.
Yes, if the function is continuous at the joining point and the left-hand and right-hand derivatives at that point are equal.
Discontinuities can be:
Removable: A hole in the graph.
Jump: Function jumps between values.
Infinite: Function tends to infinity at a point.