Comprehensive study notes on Derivative basics for CMI BS Hons preparation.
This chapter covers key concepts, formulas, and examples needed for your exam.
This chapter establishes the foundational concepts of derivatives, starting with the formal definition and progressing through essential computational techniques, including standard formulas and composite function rules. A thorough understanding of these principles is critical for success in subsequent calculus topics and is frequently assessed in CMI examinations.
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Chapter Contents
|
| Topic |
|---|-------|
| 1 | Derivative from first principles |
| 2 | Standard derivative formulas |
| 3 | One-sided derivatives |
| 4 | Derivative of composite functions |
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We begin with Derivative from first principles.
Part 1: Derivative from first principles
Derivative from First Principles
Overview
The derivative from first principles is the foundational definition of differentiation. Before using shortcut rules like the power rule or product rule, we define the derivative as the limiting value of the average rate of change. In CMI-style questions, this topic tests algebraic simplification, limit handling, and geometric understanding together.
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Learning Objectives
❗By the End of This Topic
After studying this topic, you will be able to:
State the derivative definition from first principles.
Compute derivatives directly using the limit definition.
Interpret the derivative as slope of the tangent and instantaneous rate of change.
Use algebraic simplification correctly before taking the limit.
Identify points where the derivative may fail to exist.
---
Core Idea
📖Derivative from First Principles
Let f(x) be a function. The derivative of f at x=a is defined by
f′(a)=limh→0hf(a+h)−f(a)
provided this limit exists.
This is called the derivative from first principles or the first-principles definition of derivative.
📖Derivative as a Function
If the limit exists for general x, then
f′(x)=limh→0hf(x+h)−f(x)
This gives the derivative as a function of x.
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Meaning of the Formula
❗Geometric Meaning
The quotient
hf(a+h)−f(a)
is the slope of the secant line joining the two points
(a,f(a))and(a+h,f(a+h))
When h→0, the second point approaches the first, and the secant slope approaches the slope of the tangent line.
So f′(a) is the slope of the tangent to the curve at x=a.
❗Rate of Change Meaning
If f represents a changing quantity, then
hf(a+h)−f(a)
is the average rate of change over a short interval, and
f′(a)
is the instantaneous rate of change at x=a.
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Equivalent Forms
📐Two Standard Forms
The derivative at x=a may be written as
f′(a)=limh→0hf(a+h)−f(a)
or, by writing x=a+h,
f′(a)=limx→ax−af(x)−f(a)
Both forms are equivalent.
---
Standard First-Principles Computations
📐General Process
To compute f′(a) from first principles:
Write f(a+h)
Form f(a+h)−f(a)
Divide by h
Simplify completely
Take the limit as h→0
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Minimal Worked Examples
Example 1
Find the derivative of f(x)=x2 from first principles.
We use
f′(x)=limh→0hf(x+h)−f(x)
Now,
f(x+h)=(x+h)2=x2+2xh+h2
So,
hf(x+h)−f(x)=hx2+2xh+h2−x2=h2xh+h2=2x+h
Taking limit as h→0,
f′(x)=limh→0(2x+h)=2x
So the derivative is 2x.
---
Example 2
Find the derivative of f(x)=x1 from first principles.
We compute
f′(x)=limh→0hx+h1−x1
Combine the fractions:
x+h1−x1=x(x+h)x−(x+h)=x(x+h)−h
So,
hf(x+h)−f(x)=x(x+h)−h⋅h1=−x(x+h)1
Taking limit as h→0,
f′(x)=−x21
So the derivative is −x21.
---
Standard Results That Come from First Principles
📐Basic Derivatives
Using first principles, one can derive:
dxd(c)=0
dxd(x)=1
dxd(x2)=2x
dxd(x3)=3x2
more generally, dxd(xn)=nxn−1 for positive integers n
But in this topic, the goal is to understand where these rules come from, not just to use them.
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When the Derivative May Not Exist
⚠️Derivative Does Not Always Exist
The derivative may fail to exist if:
the function has a corner or sharp turn
the function has a cusp
the tangent is vertical
the function is discontinuous at that point
Example:
For f(x)=∣x∣ at x=0,
right-hand slope is 1
left-hand slope is −1
Since these are unequal, f′(0) does not exist.
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Right-Hand and Left-Hand Derivatives
📐One-Sided Derivatives
The right-hand derivative at x=a is
limh→0+hf(a+h)−f(a)
The left-hand derivative at x=a is
limh→0−hf(a+h)−f(a)
The derivative exists only if both exist and are equal.
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Common Algebra Required
💡Algebra You Must Control
In first-principles problems, most of the work is algebraic. Common tools are:
expansion of (x+h)2,(x+h)3
factorisation
rationalisation
cancellation of h after simplification
You cannot substitute h=0 before simplifying, because the expression usually gives 00 first.
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Common Mistakes
⚠️Avoid These Errors
❌ Substituting h=0 too early
✅ Simplify first, then take the limit
❌ Forgetting to divide the entire numerator by h
✅ Form the difference quotient carefully
❌ Expanding (x+h)2 incorrectly
✅ (x+h)2=x2+2xh+h2
❌ Concluding differentiability without checking both sides at a corner point
✅ For piecewise or absolute value functions, compare left and right derivatives
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CMI Strategy
💡How to Attack First-Principles Problems
Start from the exact definition, not from a memorized rule.
Expand or simplify the numerator fully.
Look for a factor of h in the numerator.
Cancel only after factorisation is valid.
For non-smooth functions, compute left and right derivatives separately.
Use geometry to check whether the answer makes sense.
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Practice Questions
:::question type="MCQ" question="Using first principles, the derivative of f(x)=x2 at x=1 is" options=["1","2","3","4"] answer="B" hint="Compute f′(1) from the definition or use the known result after deriving it." solution="Using first principles,
f′(1)=limh→0h(1+h)2−1
Expand:
(1+h)2=1+2h+h2
So,
h(1+h)2−1=h2h+h2=2+h
Taking the limit as h→0, we get
f′(1)=2
Hence the correct option is B."
:::
:::question type="NAT" question="Find f′(2) from first principles for f(x)=x2−3x+1." answer="1" hint="Use f′(a)=limh→0hf(a+h)−f(a) with a=2." solution="We compute
f′(2)=limh→0hf(2+h)−f(2)
Now,
f(2+h)=(2+h)2−3(2+h)+1=4+4h+h2−6−3h+1=h2+h−1
Also,
f(2)=22−3⋅2+1=4−6+1=−1
So,
hf(2+h)−f(2)=h(h2+h−1)−(−1)=hh2+h=h+1
Taking limit as h→0,
f′(2)=1
Therefore the answer is 1."
:::
:::question type="MSQ" question="Which of the following statements are true?" options=["f′(a)=limh→0hf(a+h)−f(a), if the limit exists","The derivative at a point represents the slope of the tangent there","A function can be differentiable at a point without being continuous there","For f(x)=∣x∣, the derivative at x=0 does not exist"] answer="A,B,D" hint="Recall the definition and the continuity-differentiability relation." solution="1. True. This is the first-principles definition.
True. The derivative gives the slope of the tangent line.
False. Differentiability implies continuity.
True. For ∣x∣, left and right derivatives at 0 are different.
Hence the correct answer is A,B,D."
:::
:::question type="SUB" question="Using first principles, find the derivative of f(x)=2x+5." answer="2" hint="Start from hf(x+h)−f(x)." solution="We use
f′(x)=limh→0hf(x+h)−f(x)
Now,
f(x+h)=2(x+h)+5=2x+2h+5
So,
hf(x+h)−f(x)=h(2x+2h+5)−(2x+5)=h2h=2
Taking the limit,
f′(x)=2
Hence the derivative is 2."
:::
---
Summary
❗Key Takeaways for CMI
The derivative from first principles is defined through a limit of difference quotients.
It gives both the slope of the tangent and the instantaneous rate of change.
Most first-principles problems are really tests of algebra plus limits.
Never put h=0 before simplifying.
One-sided derivatives are essential for checking non-smooth points.
This definition is the foundation of all derivative rules.
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💡Next Up
Proceeding to Standard derivative formulas.
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Part 2: Standard derivative formulas
Standard Derivative Formulas
Overview
Standard derivative formulas are the basic tools used in almost every differentiation problem. In CMI-style questions, these formulas are rarely tested in isolation; instead, they appear inside simplification, tangent problems, monotonicity, rate of change, and approximation arguments. So the real goal is not just memorisation, but fast and correct recognition.
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Learning Objectives
❗By the End of This Topic
After studying this topic, you will be able to:
Recall the standard derivatives of algebraic, trigonometric, exponential, and logarithmic functions.
Apply these formulas quickly in direct differentiation problems.
Use the formulas together with sum, constant multiple, product, quotient, and chain rules.
Avoid common sign mistakes and invalid simplifications.
Recognise which standard derivative is hidden inside a given expression.
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Core Idea
📖Derivative as instantaneous rate of change
If y=f(x), then the derivative of f at x is written as
f′(x)
and measures the instantaneous rate of change of f with respect to x.
In practice, many derivatives are found using standard formulas rather than from first principles.
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Most Important Standard Formulas
📐Basic Algebraic Derivatives
For constants c and suitable real n:
dxd(c)=0
dxd(x)=1
dxd(xn)=nxn−1
Special cases:
dxd(x2)=2x
dxd(x3)=3x2
dxd(x1)=dxd(x−1)=−x−2=−x21
dxd(x)=dxd(x1/2)=2x1
📐Trigonometric Derivatives
dxd(sinx)=cosx
dxd(cosx)=−sinx
dxd(tanx)=sec2x
dxd(cotx)=−csc2x
dxd(secx)=secxtanx
dxd(cscx)=−cscxcotx
📐Exponential and Logarithmic Derivatives
dxd(ex)=ex
dxd(ax)=axlna for a>0,a=1
dxd(lnx)=x1 for x>0
dxd(logax)=xlna1 for x>0,a>0,a=1
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Supporting Rules Used with Standard Formulas
📐Linearity Rules
If u and v are differentiable and c is a constant, then
dxd(u+v)=u′+v′
dxd(u−v)=u′−v′
dxd(cu)=cu′
📐Product, Quotient, and Chain Rule
dxd(uv)=u′v+uv′
dxd(vu)=v2u′v−uv′, where v=0
dxd(f(g(x)))=f′(g(x))⋅g′(x)
These rules are what make standard formulas actually useful in real questions.
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High-Value Derived Forms
📐Frequently Used Quick Results
dxd(ax+b)=a
dxd((ax+b)n)=n(ax+b)n−1⋅a
dxd(sin(ax+b))=acos(ax+b)
dxd(cos(ax+b))=−asin(ax+b)
dxd(eax+b)=aeax+b
dxd(ln(ax+b))=ax+ba
These come from combining the standard formulas with the chain rule.
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Domain and Validity
❗Check Before Using a Formula
dxd(x)=2x1 is valid for x>0
dxd(x1)=−x21 is valid for x=0
dxd(lnx)=x1 is valid for x>0
dxd(logax)=xlna1 is valid for x>0
Quotient rule requires denominator nonzero
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Common Mistakes
⚠️Avoid These Errors
❌ dxd(cosx)=sinx
✅ Correct: dxd(cosx)=−sinx
❌ dxd(xn)=xn−1
✅ Correct: dxd(xn)=nxn−1
❌ dxd(eu)=eu
✅ Correct: dxd(eu)=eu⋅u′
❌ dxd(lnu)=u1
✅ Correct: dxd(lnu)=uu′
❌ derivative of a quotient as quotient of derivatives
✅ Use the quotient rule
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Minimal Worked Examples
Example 1
Differentiate f(x)=x5−3x2+7.
Using standard algebraic formulas,
f′(x)=5x4−6x
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Example 2
Differentiate g(x)=sin(3x).
Using chain rule,
g′(x)=cos(3x)⋅3=3cos(3x)
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Then check whether sum rule, product rule, quotient rule, or chain rule is needed.
Keep sign-checking in mind, especially for cosx, cotx, and cscx.
For composite expressions, differentiate the outer function first and multiply by the derivative of the inside.
In medium-hard problems, the difficulty is usually structure recognition, not formula recall.
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Practice Questions
:::question type="MCQ" question="The derivative of cosx is" options=["sinx","−sinx","cosx","−cosx"] answer="B" hint="This is one of the most common sign traps." solution="The standard derivative formula is
dxd(cosx)=−sinx.
Hence the correct option is B."
:::
:::question type="NAT" question="Find the value of dxd(x4−2x2+5) at x=2." answer="24" hint="Differentiate first, then substitute x=2." solution="Differentiate:
dxd(x4−2x2+5)=4x3−4x
Now substitute x=2:
4(23)−4(2)=32−8=24
Therefore the answer is 24."
:::
:::question type="MSQ" question="Which of the following statements are true?" options=["dxd(ex)=ex","dxd(lnx)=x1 for x>0","dxd(sinx)=−cosx","dxd(xn)=nxn−1"] answer="A,B,D" hint="Check each standard formula carefully." solution="1. True.
True for x>0.
False, because dxd(sinx)=cosx.
True.
Hence the correct answer is A,B,D."
:::
:::question type="SUB" question="Differentiate f(x)=x3+x1−lnx." answer="3x2−x21−x1" hint="Differentiate term by term." solution="Using standard formulas term by term:
dxd(x3)=3x2dxd(x1)=−x21dxd(lnx)=x1
So,
f′(x)=3x2−x21−x1
Hence the derivative is 3x2−x21−x1."
:::
---
Summary
❗Key Takeaways for CMI
Standard derivative formulas are the base layer of all differentiation.
The power rule, trigonometric derivatives, and exponential-logarithmic derivatives must be instant recall.
Real questions usually combine formulas with chain, product, or quotient rule.
Sign errors and domain restrictions are common traps.
The best way to improve is to recognise structure quickly before differentiating.
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💡Next Up
Proceeding to One-sided derivatives.
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Part 3: One-sided derivatives
One-sided Derivatives
Overview
One-sided derivatives are local rate-of-change limits taken from only one side of a point. They become important when:
the function is piecewise-defined,
the point is a boundary point,
the left and right behaviour are different.
In CMI-style questions, one-sided derivatives are often used to test whether a function is differentiable, whether continuity follows, and how to handle functions like ∣x∣ or piecewise formulas.
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Learning Objectives
❗By the End of This Topic
After studying this topic, you will be able to:
Define right and left derivatives correctly.
Compute one-sided derivatives for standard and piecewise functions.
Relate one-sided derivatives to differentiability.
Understand what kind of continuity follows from one-sided differentiability.
Detect common traps using examples like ∣x∣ and x.
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Definitions
📖Right derivative
The right derivative of f at x=a is
f+′(a)=limh→0+hf(a+h)−f(a)
provided this limit exists as a finite real number.
📖Left derivative
The left derivative of f at x=a is
f−′(a)=limh→0−hf(a+h)−f(a)
provided this limit exists as a finite real number.
❗Differentiability Criterion
At an interior point a, the ordinary derivative f′(a) exists if and only if
f−′(a) and f+′(a) both exist and are equal.
In that case,
f′(a)=f−′(a)=f+′(a)
---
Immediate Consequences
📐What follows from differentiability?
If f is differentiable at x=a, then:
f has a right derivative at a
f has a left derivative at a
f is continuous at a
⚠️But the converse fails
The reverse statements are not always true:
having a right derivative does not guarantee full continuity
continuity does not guarantee existence of a right derivative
having one-sided derivatives separately does not guarantee differentiability unless they are equal
---
Right derivative implies right continuity
📐A very useful fact
If the right derivative of f at a exists, then f is right-continuous at a.
That means
limx→a+f(x)=f(a)
Why?
If
hf(a+h)−f(a)→L as h→0+,
then
f(a+h)−f(a)=h⋅hf(a+h)−f(a)→0
as h→0+.
So the function values from the right approach f(a).
❗Careful
This gives only right continuity, not necessarily full two-sided continuity.
If the left side behaves badly, the function may still fail to be continuous at a.
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Most Common Examples
1. Smooth function
For f(x)=x2 at any point a,
f+′(a)=f−′(a)=2a
So f is differentiable everywhere.
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2. Absolute value at the origin
For f(x)=∣x∣ at x=0,
Right derivative:
f+′(0)=limh→0+h∣h∣−0=limh→0+hh=1
Left derivative:
f−′(0)=limh→0−h∣h∣−0=limh→0−h−h=−1
Since the one-sided derivatives are unequal, ∣x∣ is not differentiable at 0.
But it does have both one-sided derivatives.
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3. Continuous but no finite right derivative
Consider f(x)=x at x=0 on [0,∞).
It is continuous at 0, but
f+′(0)=limh→0+hh−0=limh→0+h1
which is not finite.
So continuity does not force existence of a finite right derivative.
---
Piecewise Functions
💡Main exam pattern
For a piecewise function, compute one-sided derivatives using the correct branch on each side.
If
<br>f(x)=<br>⎩⎨⎧<br>g(x),<br>c,<br>h(x),x<ax=ax>a<br><br>
then
f−′(a)=limh→0−hg(a+h)−c
f+′(a)=limh→0+hh(a+h)−c
A small mistake in choosing the branch gives the wrong answer.
---
Endpoint view
📖Derivative at an endpoint
If the domain begins at a, then the meaningful derivative notion at that endpoint is often the right derivative.
Similarly, if the domain ends at b, the relevant notion is the left derivative there.
This is why one-sided derivatives are not just technical details; they are natural for boundary points.
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Minimal Worked Examples
Example 1
Let
$\qquad
f(x)=
\begin{cases}
0, & x<0 \\
x, & x\ge 0
\end{cases}
$
at x=0.
Right derivative:
f+′(0)=limh→0+hh−0=1
Left derivative:
f−′(0)=limh→0−h0−0=0
So f is continuous at 0, but not differentiable there.
---
Example 2
Let
$\qquad
f(x)=
\begin{cases}
0, & x\le 1 \\
(x-1)^2, & x>1
\end{cases}
$
Find the right derivative at x=1.
f+′(1)=limh→0+h(1+h−1)2−0=limh→0+hh2=limh→0+h=0
So the right derivative is 0.
---
Common Mistakes
⚠️Avoid These Errors
❌ Assuming continuity implies existence of one-sided derivatives.
❌ Assuming a right derivative implies full continuity.
❌ Forgetting that differentiability requires both one-sided derivatives to exist and be equal.
❌ Using the wrong branch in a piecewise function.
❌ Forgetting that endpoint questions naturally use one-sided derivatives.
---
CMI Strategy
💡How to Solve These Fast
Write the definition first.
Decide whether you need the left derivative, the right derivative, or both.
For piecewise functions, choose the correct formula on each side.
Simplify the quotient before taking the limit.
After finding one-sided derivatives, compare them only if differentiability is being asked.
:::question type="MCQ" question="For the function f(x)=∣x∣ at x=0, which statement is correct?" options=["Both one-sided derivatives are equal","The right derivative exists and equals 1","The left derivative exists and equals 1","The function is differentiable at 0"] answer="B" hint="Compute from the right and from the left separately." solution="For f(x)=∣x∣,
f+′(0)=1
and
f−′(0)=−1
So the one-sided derivatives are not equal. Hence f is not differentiable at 0.
Therefore the correct option is B."
:::
:::question type="NAT" question="Find the right derivative of f(x)=∣x∣ at x=0." answer="1" hint="For h>0, ∣h∣=h." solution="By definition,
f+′(0)=limh→0+h∣h∣−0
Since h>0, we have ∣h∣=h. So
f+′(0)=limh→0+hh=1
Hence the answer is 1."
:::
:::question type="MSQ" question="Which of the following statements are true?" options=["If f is differentiable at x=a, then f has a right derivative at x=a","f(x)=∣x∣ has a right derivative at x=0","If f has a right derivative at x=a, then f must be continuous at x=a","If f is continuous at x=a, then f must have a right derivative at x=a"] answer="A,B" hint="Think carefully about right continuity versus full continuity." solution="1. True. Differentiability implies existence of both one-sided derivatives.
True. For ∣x∣ at 0, the right derivative is 1.
False. A right derivative implies right continuity, not necessarily full continuity.
False. Continuity alone does not guarantee existence of a finite right derivative. For example, x is continuous at 0 on [0,∞), but its right derivative at 0 is not finite.
Hence the correct answer is A,B."
:::
:::question type="SUB" question="Let
$\qquad
f(x)=
\begin{cases}
0, & x<0 \\
x, & x\ge 0
\end{cases}
$
Find the left and right derivatives at x=0, and determine whether f is differentiable at 0." answer="Left derivative =0, right derivative =1, so not differentiable at 0" hint="Use the branch valid on each side of 0." solution="For h>0,
f(h)=h,f(0)=0
So the right derivative is
f+′(0)=limh→0+hh−0=1
For h<0,
f(h)=0,f(0)=0
So the left derivative is
f−′(0)=limh→0−h0−0=0
Since
f−′(0)=f+′(0),
the function is not differentiable at 0.
Thus the result is
f−′(0)=0,f+′(0)=1,not differentiable at 0."
:::
---
Summary
❗Key Takeaways for CMI
One-sided derivatives are limits taken from only one side of a point.
Differentiability at an interior point means both one-sided derivatives exist and are equal.
∣x∣ at 0 is the standard example where one-sided derivatives exist but are unequal.
A right derivative gives right continuity, not necessarily full continuity.
Continuity alone does not guarantee existence of a finite one-sided derivative.
Piecewise and endpoint questions are the natural home of one-sided derivatives.
---
💡Next Up
Proceeding to Derivative of composite functions.
---
Part 4: Derivative of composite functions
Derivative of Composite Functions
Overview
A composite function is a function inside another function. In differentiation, this topic is governed by the chain rule, one of the most important rules in calculus. In CMI-style questions, the chain rule is often not tested in a direct “differentiate this” way. Instead, it appears inside related rates, parametrised motion, arc-length problems, implicit dependence, and expressions where one quantity depends on another which itself depends on time or another variable.
---
Learning Objectives
❗By the End of This Topic
After studying this topic, you will be able to:
Recognise composite functions correctly.
Apply the chain rule to two-layer and multi-layer compositions.
Differentiate expressions involving powers, radicals, exponentials, logarithms, and trigonometric composites.
Handle related-rate situations where one variable depends on another which depends on time.
Convert geometric or motion-based information into a chain-rule calculation.
---
Core Idea
📖Composite Function
If
y=f(g(x)) then y is called a composite function.
Here:
g(x) is the inner function
f acts on the output of g(x), so f is the outer function
📐Chain Rule
If
y=f(g(x)) then
dxdy=f′(g(x))⋅g′(x)
This means:
differentiate the outer function
keep the inner part unchanged
multiply by the derivative of the inner part
---
Why the Chain Rule Matters
❗Main Use
Whenever a quantity depends on another variable, which itself depends on something else, the chain rule appears.
Typical examples:
(3x2+1)5
sin(x3)
ex2+1
ln(1+x4)
s(u(t))
f(g(h(x)))
---
Standard Chain-Rule Forms
📐Power-Type Composite
If
y=(u(x))n then
dxdy=n(u(x))n−1⋅u′(x)
📐Trigonometric Composite
dxd(sin(u))=cos(u)⋅u′
dxd(cos(u))=−sin(u)⋅u′
dxd(tan(u))=sec2(u)⋅u′
📐Exponential and Logarithmic Composite
dxd(eu)=eu⋅u′
dxd(au)=auln(a)⋅u′
dxd(lnu)=uu′
📐Radical and Reciprocal Composite
dxd(u)=2uu′
dxd(u1)=−u2u′
---
Two-Layer and Multi-Layer Composition
📐Nested Composition
If
y=f(g(h(x))) then
dxdy=f′(g(h(x)))⋅g′(h(x))⋅h′(x)
Each layer contributes a derivative factor.
For example, if
y=sin((x2+1)3)
then the layers are:
outer: sin(⋅)
middle: (⋅)3
inner: x2+1
So
dxdy=cos((x2+1)3)⋅3(x2+1)2⋅2x
:::
---
Minimal Worked Examples
Example 1
Differentiate
y=(2x+1)7
Using chain rule,
dxdy=7(2x+1)6⋅2=14(2x+1)6
---
Example 2
Differentiate
y=ln(1+x2)
Outer function is ln(⋅) and inner function is 1+x2.
So,
dxdy=1+x21⋅2x=1+x22x
---
Composite Functions in Related Rates
📖Related Rates Structure
If one variable depends on another, and that variable depends on time, then use chain rule.
If
s=s(u) and
u=u(t)
then
dtds=duds⋅dtdu
This is one of the most important applications of the chain rule.
---
PYQ-Type Insight: Spider Problem Structure
❗How the Given PYQ Uses the Chain Rule
In the PYQ, the spider moves along the curve
y=x3
At time t, the spider is at
(u,u3)
Two quantities depend on u:
the straight thread length
s=u2+u6
the curve length from origin to the point
ℓ(u)=∫0u1+9x4dx
Since the spider runs along the curve at constant speed 10 unit/second,
dtdℓ=10
Now apply chain rule:
dtdℓ=dudℓ⋅dtdu
By the Fundamental Theorem of Calculus,
dudℓ=1+9u4
So,
10=1+9u4⋅dtdu
Hence,
dtdu=1+9u410
Next, for the thread length,
dtds=duds⋅dtdu
This is exactly the chain-rule structure the question is testing.
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Important Formula Patterns for This Topic
📐Frequently Used Derivatives
dxd(ax+b)n=n(ax+b)n−1⋅a
dxdsin(ax+b)=acos(ax+b)
dxdcos(ax+b)=−asin(ax+b)
dxdeg(x)=eg(x)g′(x)
dxdln(g(x))=g(x)g′(x)
dxdg(x)=2g(x)g′(x)
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How to Identify the Inner Function
💡Fast Recognition Method
Look for the expression that:
is repeated as a block, and
becomes simpler if you temporarily treat it as one symbol
Examples:
in (x2+1)5, inner function is x2+1
in sin(3x2), inner function is 3x2
in ln(1+x), inner function is 1+x, but inside that there is another layer x
---
Common Mistakes
⚠️Avoid These Errors
❌ Differentiating only the outer function and forgetting the inner derivative
❌ In related rates, using ordinary differentiation without respecting dependence on time
✅ If s=s(u(t)), then use
dtds=dudsdtdu
❌ Missing one layer in a multi-layer function
✅ Differentiate one layer at a time
---
CMI Strategy
💡How to Solve Chain-Rule Problems
First identify the outermost function.
Keep peeling inward layer by layer.
For related rates, decide which variable is the bridge variable.
If a quantity is given as an integral with variable upper limit, use the Fundamental Theorem of Calculus first.
In geometric problems, write every relevant quantity in terms of one variable, then differentiate systematically.
---
Practice Questions
:::question type="MCQ" question="The derivative of (x2+1)4 is" options=["4(x2+1)3","8x(x2+1)3","4x(x2+1)3","8(x2+1)3"] answer="B" hint="Use chain rule with outer function (⋅)4." solution="Let
y=(x2+1)4
Then
dxdy=4(x2+1)3⋅dxd(x2+1)=4(x2+1)3⋅2x=8x(x2+1)3
Hence the correct option is B."
:::
:::question type="NAT" question="Find the value of dxdln(1+x2) at x=1." answer="1" hint="Differentiate first, then substitute x=1." solution="We have
dxdln(1+x2)=1+x22x
At x=1,
22=1
Hence the answer is 1."
:::
:::question type="MSQ" question="Which of the following are correct?" options=["dxdsin(x3)=3x2cos(x3)","dxdex2=ex2","dxd1+x=21+x1","If s=s(u) and u=u(t), then dtds=dudsdtdu"] answer="A,C,D" hint="Check chain rule carefully in each case." solution="1. True.
False. The derivative is
ex2⋅2x
True.
True. This is the chain rule in related-rates form.
Hence the correct answer is A,C,D."
:::
:::question type="SUB" question="Differentiate y=cos((2x−1)3)." answer="−6(2x−1)2sin((2x−1)3)" hint="There are two layers inside the cosine." solution="Let
y=cos((2x−1)3)
Differentiate outer function first:
dxdy=−sin((2x−1)3)⋅dxd((2x−1)3)
Now differentiate the inner cube:
dxd((2x−1)3)=3(2x−1)2⋅2=6(2x−1)2
So,
dxdy=−6(2x−1)2sin((2x−1)3)
Hence the derivative is −6(2x−1)2sin((2x−1)3)."
:::
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Summary
❗Key Takeaways for CMI
The derivative of a composite function is found using the chain rule.
In f(g(x)), differentiate the outer function and multiply by the derivative of the inner function.
Multi-layer compositions produce multiple derivative factors.
Related rates are chain rule in disguise.
In PYQ-style motion and geometry problems, first express all quantities through one variable, then differentiate carefully.
Chapter Summary
❗Derivative basics — Key Points
The derivative is fundamentally defined as a limit, representing the instantaneous rate of change or the slope of the tangent line to a curve. Differentiability at a point requires the existence and equality of both left-hand and right-hand derivatives. A function must be continuous at a point to be differentiable there, though continuity alone does not guarantee differentiability. Proficiency in standard differentiation formulas (e.g., power, exponential, logarithmic, trigonometric) is essential. * The Chain Rule is critical for differentiating composite functions, extending the basic rules to more complex expressions.
Chapter Review Questions
:::question type="MCQ" question="Using first principles, evaluate the derivative of f(x)=x2 at x=3." options=["2x", "6", "3", "9"] answer="6" hint="Recall the definition dxdf=limh→0hf(x+h)−f(x)." solution="The derivative using first principles at x=3 is given by:
f′(3)=h→0limhf(3+h)−f(3)
f′(3)=h→0limh(3+h)2−32
f′(3)=h→0limh(9+6h+h2)−9
f′(3)=h→0limh6h+h2
f′(3)=h→0lim(6+h)=6
" :::
:::question type="NAT" question="If y=esin(x), determine the value of dxdy at x=0." answer="1" hint="Apply the chain rule dxdg(f(x))=g′(f(x))⋅f′(x)." solution="Given y=esin(x), we apply the chain rule. Let u=sin(x), then y=eu. dudy=eu and dxdu=cos(x). So, dxdy=dudy⋅dxdu=esin(x)⋅cos(x). Now, evaluate at x=0: dxdyx=0=esin(0)⋅cos(0)=e0⋅1=1⋅1=1." :::
:::question type="MCQ" question="For the function f(x)={x22x−1x≤1x>1, which statement is true about its differentiability at x=1?" options=["The function is continuous but not differentiable at x=1.", "The function is differentiable at x=1.", "The left-hand derivative exists, but the right-hand derivative does not.", "The function is neither continuous nor differentiable at x=1."] answer="The function is differentiable at x=1." hint="First, check continuity at x=1. Then, evaluate the left-hand and right-hand derivatives at x=1." solution="1. Check for Continuity at x=1: f(1)=12=1. limx→1−f(x)=limx→1−x2=12=1. limx→1+f(x)=limx→1+(2x−1)=2(1)−1=1. Since f(1)=limx→1−f(x)=limx→1+f(x), the function is continuous at x=1.
2. Check for Differentiability at x=1: We need to evaluate the left-hand derivative (fL′(1)) and the right-hand derivative (fR′(1)). For x<1, f′(x)=dxd(x2)=2x. fL′(1)=limx→1−2x=2(1)=2. For x>1, f′(x)=dxd(2x−1)=2. fR′(1)=limx→1+2=2. Since fL′(1)=fR′(1)=2, the function is differentiable at x=1.
Therefore, the function is differentiable at x=1." :::
What's Next?
💡Continue Your CMI Journey
This chapter provided the fundamental tools for understanding instantaneous rates of change. Future chapters will build upon these foundational concepts, exploring applications in optimization, curve sketching, and laying the groundwork for integral calculus and multivariable differentiation.
🎯 Key Points to Remember
✓Master the core concepts in Derivative basics before moving to advanced topics
✓Practice with previous year questions to understand exam patterns
✓Review short notes regularly for quick revision before exams