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MathsMaths89 views·Updated May 28, 2026·24 pages

Mastering Differentiation in Higher Maths

E
eva@eva_lbjt3

Differentiation is a fundamental calculus technique that tells you how... Show more

1
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Index Rules Refresher

Before diving into differentiation, you'll need these index rules from N5 - they're absolutely essential for what's coming next. When multiplying powers with the same base, you add the indices: xa×xb=xa+bx^a \times x^b = x^{a+b}. When dividing, you subtract them: xa÷xb=xabx^a \div x^b = x^{a-b}.

The trickier rules involve negative and fractional indices. Remember that xa=1xax^{-a} = \frac{1}{x^a} and xa/b=xabx^{a/b} = \sqrt[b]{x^a}. So x1/2=xx^{1/2} = \sqrt{x} and x3/2=x3x^{3/2} = \sqrt{x^3}.

Watch out for this common mistake: 15x5x1\frac{1}{5x} \neq 5x^{-1}. Instead, 15x=15x1\frac{1}{5x} = \frac{1}{5}x^{-1} or (5x)1(5x)^{-1}. Getting these basics right will make differentiation much smoother.

Quick tip: When dealing with fractional powers like $25^{3/2},dotherootfirst:, do the root first: \sqrt{25^3} = 5^3 = 125$

2
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Introduction to Differentiation

Straight lines have a constant gradient, but curves are more interesting - their steepness changes at every point. To find the gradient at any specific point on a curve, we use the tangent line at that point.

Differentiation is the process that finds this gradient for us. The basic rule is surprisingly simple: if y=xny = x^n, then dydx=nxn1\frac{dy}{dx} = nx^{n-1}. The symbol dydx\frac{dy}{dx} represents the derivative - it's just notation for "the gradient of y with respect to x".

This process might seem like magic at first, but applying it is straightforward. The mathematical proof behind why it works is complex, but you don't need to worry about that right now.

Remember: The derivative tells you the gradient of the tangent at any point on a curve

3
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Basic Differentiation Examples

Let's put the power rule into action with some examples. For y=x2y = x^2, we get dydx=2x\frac{dy}{dx} = 2x. For y=3x3y = 3x^3, we get dydx=9x2\frac{dy}{dx} = 9x^2 (multiply by the power, then reduce the power by 1).

The rule works brilliantly with multiple terms too. For y=5x2+4xy = 5x^2 + 4x, you differentiate each term separately: dydx=10x+4\frac{dy}{dx} = 10x + 4. Constants disappear when differentiated, so y=4x22x+1y = 4x^2 - 2x + 1 becomes dydx=8x2\frac{dy}{dx} = 8x - 2.

Negative and fractional powers follow the same rule. For y=x=x1/2y = \sqrt{x} = x^{1/2}, we get dydx=12x1/2=12x\frac{dy}{dx} = \frac{1}{2}x^{-1/2} = \frac{1}{2\sqrt{x}}. For y=3x2y = 3x^{-2}, we get dydx=6x3=6x3\frac{dy}{dx} = -6x^{-3} = -\frac{6}{x^3}.

Pro tip: Always convert your final answer to positive indices - it looks much neater!

4
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Notation and Preparation

You'll see derivatives written in two main ways: dydx\frac{dy}{dx} when y=y = something, or f(x)f'(x) (pronounced "f dash x") when f(x)=f(x) = something. Both mean exactly the same thing - the derivative of the function.

Before differentiating, you often need to prepare your function by converting roots and fractions into index form. For example, x23\sqrt[3]{x^2} becomes x2/3x^{2/3}, and 4x2\frac{4}{x^2} becomes $4x^{-2}$.

Once prepared, differentiate using the power rule as normal. So y=x2/3y = x^{2/3} gives dydx=23x1/3\frac{dy}{dx} = \frac{2}{3}x^{-1/3}, and f(x)=4x2f(x) = 4x^{-2} gives f(x)=8x3f'(x) = -8x^{-3}.

Key insight: Converting everything to index form first makes differentiation much more systematic

5
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Expanding and Simplifying Before Differentiation

When faced with brackets or fractions, expand or simplify first before differentiating. For y=x2(x2)y = x^2(x-2), multiply out to get y=x32x2y = x^3 - 2x^2, then differentiate to get dydx=3x24x\frac{dy}{dx} = 3x^2 - 4x.

With more complex expressions like f(x)=x(x2x2)f(x) = \sqrt{x}(x - 2x^2), convert the square root first: f(x)=x1/2(x2x2)=x3/22x5/2f(x) = x^{1/2}(x - 2x^2) = x^{3/2} - 2x^{5/2}. Then differentiate: f(x)=32x1/25x3/2f'(x) = \frac{3}{2}x^{1/2} - 5x^{3/2}.

Algebraic fractions work similarly. For f(x)=2x35x4x2f(x) = \frac{2x^3 - 5x^4}{x^2}, divide each term by x2x^2 to get f(x)=2x5x2f(x) = 2x - 5x^2. Then differentiate normally: f(x)=210xf'(x) = 2 - 10x.

Strategy: Always simplify first - it makes the differentiation much easier and reduces errors

6
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

The Mathematical Definition

The derivative is actually the limit of the gradient between two points as they get infinitely close together. This is written as f(x)=limh0f(x+h)f(x)hf'(x) = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h}, but you don't need to use this formula directly.

When we differentiate functions, we're finding the gradient of the tangent to the curve at any given point. This gradient also represents the rate of change of the function at that point.

For example, with f(x)=4x3f(x) = 4x^3, we get f(x)=12x2f'(x) = 12x^2. To find the gradient at x=2x = -2, we substitute: f(2)=12×(2)2=48f'(-2) = 12 \times (-2)^2 = 48. So the tangent has a gradient of 48 at that point.

Real-world connection: Rate of change appears everywhere - speed is the rate of change of distance, acceleration is the rate of change of speed

7
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Finding Gradients at Specific Points

To find the gradient at a specific point, differentiate the function then substitute the x-value. For y=4xy = 4\sqrt{x} at x=9x = 9, first rewrite as y=4x1/2y = 4x^{1/2}, then differentiate to get dydx=2x1/2=2x\frac{dy}{dx} = 2x^{-1/2} = \frac{2}{\sqrt{x}}.

Substituting x=9x = 9: dydx=29=23\frac{dy}{dx} = \frac{2}{\sqrt{9}} = \frac{2}{3}. So the gradient of the tangent at x=9x = 9 is 23\frac{2}{3}.

For more complex functions like f(x)=3x3+3x22xf(x) = 3x^3 + 3x^2 - 2x, differentiate to get f(x)=9x2+6x2f'(x) = 9x^2 + 6x - 2. At x=3x = 3: f(3)=9(9)+6(3)2=81+182=97f'(3) = 9(9) + 6(3) - 2 = 81 + 18 - 2 = 97. This means the function is changing very rapidly at this point.

Remember: The derivative gives you the gradient; substituting a value gives you the gradient at that specific point

8
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Equations of Tangent Lines

Since a tangent is a straight line, you need a point and a gradient to find its equation using yb=m(xa)y - b = m(x - a). The derivative gives you the gradient, and you find the point by substituting into the original function.

For the curve y=x27x+10y = x^2 - 7x + 10 at x=4x = 4: first find the point by substituting x=4x = 4 into the original equation: y=1628+10=2y = 16 - 28 + 10 = -2. So the point is (4,2)(4, -2).

Next, find the gradient by differentiating: dydx=2x7\frac{dy}{dx} = 2x - 7. At x=4x = 4: gradient = $2(4) - 7 = 1.Usingthepointslopeform:. Using the point-slope form: y - (-2) = 1x4x - 4,whichsimplifiesto, which simplifies to y = x - 6$.

Method: Find the point (substitute x into original function), find the gradient (substitute x into derivative), then use point-slope form

9
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Increasing and Decreasing Functions

The derivative tells you whether a function is going up or down. If f(x)>0f'(x) > 0, the function is strictly increasing (going uphill). If f(x)<0f'(x) < 0, it's strictly decreasing (going downhill). When f(x)=0f'(x) = 0, the function is stationary (flat).

Think of it like walking on a hill - positive gradient means you're walking uphill, negative means downhill, and zero means you're on flat ground or at a peak/valley.

These concepts are crucial for understanding the shape and behaviour of curves. You'll use them constantly when sketching graphs and solving optimisation problems.

Visual tip: Imagine the curve as a roller coaster - the derivative tells you whether you're going up, down, or momentarily flat

10
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Determining Intervals of Increase and Decrease

To show a function is strictly increasing at a point, prove that f(x)>0f'(x) > 0 there. For p(x)=x34x2+3p(x) = x^3 - 4x^2 + 3 at x=3x = 3: p(x)=3x28xp'(x) = 3x^2 - 8x, so p(3)=2724=3>0p'(3) = 27 - 24 = 3 > 0. Since the derivative is positive, the function is increasing.

To find where a function is decreasing, solve f(x)<0f'(x) < 0. For f(x)=x3+6x22f(x) = x^3 + 6x^2 - 2: f(x)=3x2+12x=3x(x+4)f'(x) = 3x^2 + 12x = 3x(x + 4). This is negative when 4<x<0-4 < x < 0.

Some functions are always increasing. For f(x)=x3+3x2+5x+2f(x) = x^3 + 3x^2 + 5x + 2: f(x)=3x2+6x+5f'(x) = 3x^2 + 6x + 5. Completing the square: f(x)=3(x+1)2+2f'(x) = 3(x + 1)^2 + 2. Since this is always positive, the function always increases.

Technique: Use completing the square to prove a quadratic expression is always positive or negative

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MathsMaths89 views·Updated May 28, 2026·24 pages

Mastering Differentiation in Higher Maths

E
eva@eva_lbjt3

Differentiation is a fundamental calculus technique that tells you how quickly a function is changing at any point. Think of it like finding the steepness of a hill at different spots - sometimes it's gentle, sometimes steep, and sometimes you're... Show more

1
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Sign up to see the content. It's free!

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Index Rules Refresher

Before diving into differentiation, you'll need these index rules from N5 - they're absolutely essential for what's coming next. When multiplying powers with the same base, you add the indices: xa×xb=xa+bx^a \times x^b = x^{a+b}. When dividing, you subtract them: xa÷xb=xabx^a \div x^b = x^{a-b}.

The trickier rules involve negative and fractional indices. Remember that xa=1xax^{-a} = \frac{1}{x^a} and xa/b=xabx^{a/b} = \sqrt[b]{x^a}. So x1/2=xx^{1/2} = \sqrt{x} and x3/2=x3x^{3/2} = \sqrt{x^3}.

Watch out for this common mistake: 15x5x1\frac{1}{5x} \neq 5x^{-1}. Instead, 15x=15x1\frac{1}{5x} = \frac{1}{5}x^{-1} or (5x)1(5x)^{-1}. Getting these basics right will make differentiation much smoother.

Quick tip: When dealing with fractional powers like $25^{3/2},dotherootfirst:, do the root first: \sqrt{25^3} = 5^3 = 125$

2
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Sign up to see the content. It's free!

  • Access to all documents
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Introduction to Differentiation

Straight lines have a constant gradient, but curves are more interesting - their steepness changes at every point. To find the gradient at any specific point on a curve, we use the tangent line at that point.

Differentiation is the process that finds this gradient for us. The basic rule is surprisingly simple: if y=xny = x^n, then dydx=nxn1\frac{dy}{dx} = nx^{n-1}. The symbol dydx\frac{dy}{dx} represents the derivative - it's just notation for "the gradient of y with respect to x".

This process might seem like magic at first, but applying it is straightforward. The mathematical proof behind why it works is complex, but you don't need to worry about that right now.

Remember: The derivative tells you the gradient of the tangent at any point on a curve

3
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Sign up to see the content. It's free!

  • Access to all documents
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  • Join milions of students

Basic Differentiation Examples

Let's put the power rule into action with some examples. For y=x2y = x^2, we get dydx=2x\frac{dy}{dx} = 2x. For y=3x3y = 3x^3, we get dydx=9x2\frac{dy}{dx} = 9x^2 (multiply by the power, then reduce the power by 1).

The rule works brilliantly with multiple terms too. For y=5x2+4xy = 5x^2 + 4x, you differentiate each term separately: dydx=10x+4\frac{dy}{dx} = 10x + 4. Constants disappear when differentiated, so y=4x22x+1y = 4x^2 - 2x + 1 becomes dydx=8x2\frac{dy}{dx} = 8x - 2.

Negative and fractional powers follow the same rule. For y=x=x1/2y = \sqrt{x} = x^{1/2}, we get dydx=12x1/2=12x\frac{dy}{dx} = \frac{1}{2}x^{-1/2} = \frac{1}{2\sqrt{x}}. For y=3x2y = 3x^{-2}, we get dydx=6x3=6x3\frac{dy}{dx} = -6x^{-3} = -\frac{6}{x^3}.

Pro tip: Always convert your final answer to positive indices - it looks much neater!

4
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Sign up to see the content. It's free!

  • Access to all documents
  • Improve your grades
  • Join milions of students

Notation and Preparation

You'll see derivatives written in two main ways: dydx\frac{dy}{dx} when y=y = something, or f(x)f'(x) (pronounced "f dash x") when f(x)=f(x) = something. Both mean exactly the same thing - the derivative of the function.

Before differentiating, you often need to prepare your function by converting roots and fractions into index form. For example, x23\sqrt[3]{x^2} becomes x2/3x^{2/3}, and 4x2\frac{4}{x^2} becomes $4x^{-2}$.

Once prepared, differentiate using the power rule as normal. So y=x2/3y = x^{2/3} gives dydx=23x1/3\frac{dy}{dx} = \frac{2}{3}x^{-1/3}, and f(x)=4x2f(x) = 4x^{-2} gives f(x)=8x3f'(x) = -8x^{-3}.

Key insight: Converting everything to index form first makes differentiation much more systematic

5
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Sign up to see the content. It's free!

  • Access to all documents
  • Improve your grades
  • Join milions of students

Expanding and Simplifying Before Differentiation

When faced with brackets or fractions, expand or simplify first before differentiating. For y=x2(x2)y = x^2(x-2), multiply out to get y=x32x2y = x^3 - 2x^2, then differentiate to get dydx=3x24x\frac{dy}{dx} = 3x^2 - 4x.

With more complex expressions like f(x)=x(x2x2)f(x) = \sqrt{x}(x - 2x^2), convert the square root first: f(x)=x1/2(x2x2)=x3/22x5/2f(x) = x^{1/2}(x - 2x^2) = x^{3/2} - 2x^{5/2}. Then differentiate: f(x)=32x1/25x3/2f'(x) = \frac{3}{2}x^{1/2} - 5x^{3/2}.

Algebraic fractions work similarly. For f(x)=2x35x4x2f(x) = \frac{2x^3 - 5x^4}{x^2}, divide each term by x2x^2 to get f(x)=2x5x2f(x) = 2x - 5x^2. Then differentiate normally: f(x)=210xf'(x) = 2 - 10x.

Strategy: Always simplify first - it makes the differentiation much easier and reduces errors

6
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Sign up to see the content. It's free!

  • Access to all documents
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  • Join milions of students

The Mathematical Definition

The derivative is actually the limit of the gradient between two points as they get infinitely close together. This is written as f(x)=limh0f(x+h)f(x)hf'(x) = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h}, but you don't need to use this formula directly.

When we differentiate functions, we're finding the gradient of the tangent to the curve at any given point. This gradient also represents the rate of change of the function at that point.

For example, with f(x)=4x3f(x) = 4x^3, we get f(x)=12x2f'(x) = 12x^2. To find the gradient at x=2x = -2, we substitute: f(2)=12×(2)2=48f'(-2) = 12 \times (-2)^2 = 48. So the tangent has a gradient of 48 at that point.

Real-world connection: Rate of change appears everywhere - speed is the rate of change of distance, acceleration is the rate of change of speed

7
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

Sign up to see the content. It's free!

  • Access to all documents
  • Improve your grades
  • Join milions of students

Finding Gradients at Specific Points

To find the gradient at a specific point, differentiate the function then substitute the x-value. For y=4xy = 4\sqrt{x} at x=9x = 9, first rewrite as y=4x1/2y = 4x^{1/2}, then differentiate to get dydx=2x1/2=2x\frac{dy}{dx} = 2x^{-1/2} = \frac{2}{\sqrt{x}}.

Substituting x=9x = 9: dydx=29=23\frac{dy}{dx} = \frac{2}{\sqrt{9}} = \frac{2}{3}. So the gradient of the tangent at x=9x = 9 is 23\frac{2}{3}.

For more complex functions like f(x)=3x3+3x22xf(x) = 3x^3 + 3x^2 - 2x, differentiate to get f(x)=9x2+6x2f'(x) = 9x^2 + 6x - 2. At x=3x = 3: f(3)=9(9)+6(3)2=81+182=97f'(3) = 9(9) + 6(3) - 2 = 81 + 18 - 2 = 97. This means the function is changing very rapidly at this point.

Remember: The derivative gives you the gradient; substituting a value gives you the gradient at that specific point

8
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

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Equations of Tangent Lines

Since a tangent is a straight line, you need a point and a gradient to find its equation using yb=m(xa)y - b = m(x - a). The derivative gives you the gradient, and you find the point by substituting into the original function.

For the curve y=x27x+10y = x^2 - 7x + 10 at x=4x = 4: first find the point by substituting x=4x = 4 into the original equation: y=1628+10=2y = 16 - 28 + 10 = -2. So the point is (4,2)(4, -2).

Next, find the gradient by differentiating: dydx=2x7\frac{dy}{dx} = 2x - 7. At x=4x = 4: gradient = $2(4) - 7 = 1.Usingthepointslopeform:. Using the point-slope form: y - (-2) = 1x4x - 4,whichsimplifiesto, which simplifies to y = x - 6$.

Method: Find the point (substitute x into original function), find the gradient (substitute x into derivative), then use point-slope form

9
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

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Increasing and Decreasing Functions

The derivative tells you whether a function is going up or down. If f(x)>0f'(x) > 0, the function is strictly increasing (going uphill). If f(x)<0f'(x) < 0, it's strictly decreasing (going downhill). When f(x)=0f'(x) = 0, the function is stationary (flat).

Think of it like walking on a hill - positive gradient means you're walking uphill, negative means downhill, and zero means you're on flat ground or at a peak/valley.

These concepts are crucial for understanding the shape and behaviour of curves. You'll use them constantly when sketching graphs and solving optimisation problems.

Visual tip: Imagine the curve as a roller coaster - the derivative tells you whether you're going up, down, or momentarily flat

10
of 10
Chill differentiation-L
from N5 we learned the rules of indices.
Rule 1:
$x^a \times x^b = x^{a+b}$
Rule 2:
$x^a \div x^b = x^{a-b}$
Rule 3:

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Determining Intervals of Increase and Decrease

To show a function is strictly increasing at a point, prove that f(x)>0f'(x) > 0 there. For p(x)=x34x2+3p(x) = x^3 - 4x^2 + 3 at x=3x = 3: p(x)=3x28xp'(x) = 3x^2 - 8x, so p(3)=2724=3>0p'(3) = 27 - 24 = 3 > 0. Since the derivative is positive, the function is increasing.

To find where a function is decreasing, solve f(x)<0f'(x) < 0. For f(x)=x3+6x22f(x) = x^3 + 6x^2 - 2: f(x)=3x2+12x=3x(x+4)f'(x) = 3x^2 + 12x = 3x(x + 4). This is negative when 4<x<0-4 < x < 0.

Some functions are always increasing. For f(x)=x3+3x2+5x+2f(x) = x^3 + 3x^2 + 5x + 2: f(x)=3x2+6x+5f'(x) = 3x^2 + 6x + 5. Completing the square: f(x)=3(x+1)2+2f'(x) = 3(x + 1)^2 + 2. Since this is always positive, the function always increases.

Technique: Use completing the square to prove a quadratic expression is always positive or negative

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