DIFFERENTIATION

DERIVATIVES

Slope of a curve

A curve has different slopes at each point. Let A, B, and C be different points on a curve f(x).

Curve with points A, B, C

Where Δx is the small increase in x, and Δy is the small increase in y.

The slope of chord AC = Δy/Δx.

If C moves right up to A, the chord AC becomes the tangent to the curve at A, and the slope at A is the limiting value of Δy/Δx.

Limit definition of derivative

Therefore,

dy/dx = limit of Δy/Δx

The gradient at A is

dy/dx expression

dy/dx expression alternative

or

dy/dx alternative expression

This is known as differentiating by first principle.

From the first principle

i) f(x) = x

ecolebooks.com

Derivative of f(x)=x

ii) f(x) = x2

Derivative of f(x)=x^2

Therefore,

Derivative result

iii) f(x) = x3

Derivative of f(x)=x^3

iv) f(x) = xn

Derivative of f(x)=x^n

By binomial series

Binomial series expansion

In general,

If f(x) then

Derivative general form

Example

Differentiate the following with respect to x:

  1. y = x2 + 3x

Solution:

y = x2 + 3x

Derivative of y

  1. y = 2x4 + 5

Solution:

Derivative of y

Differentiation of product functions [product rule]

Let y = uv, where u and v are functions of x.

If x → x + Δx, then u → u + Δu and v → v + Δv, so y → y + Δy.

y = uv … (i)

Therefore,

y + Δy = (u + Δu)(v + Δv)

y + Δy = uv + uΔv + vΔu + ΔuΔv … (ii)

Subtract (i) from (ii):

Δy = uΔv + vΔu + ΔuΔv

Therefore,

Product rule formula

Therefore, if y = uv,

Product rule

Examples

Differentiate the following with respect to x:

  1. y = (x2 + 3x)(4x + 3)
  2. y = (x + 2)(x2 + 2)

Solution:

Let u = x2 + 3x, then

Derivative of u

v = 4x + 3

Derivative of v

Therefore,

Derivative of y

Differentiation of a quotient [quotient rule]

Let y = u / v, where u and v are functions of x.

y = u/v

Then

Quotient rule formula

Differentiation of a function [chain rule]

If y = f(u), where u = f(x), then

Chain rule formula

Parametric equations

Let y = f(t), and x = g(t).

Parametric equations

Example

Find dy/dx if y = at2 and x = 2at.

Solution:

Derivative of y

Implicit function

An implicit function is one where neither x nor y is the subject, e.g.

  1. x2 + y2 = 25
  2. x2 + y2 + 2xy = 5

One thing to remember is that y is a function of x.

Then

  1. Derivative of implicit function 1
  2. Derivative of implicit function 2

Differentiation of trigonometric functions

  1. Let y = sin x

Derivative of sin x

Provided that x is measured in radians (small angle).

  1. Let y = cos x

Derivative of cos x

  1. Let y = cot x

Derivative of cot x

Differentiation of inverses

  1. Let y = sin-1 x, then x = sin y

Derivative of sin inverse

  1. Let y = cos-1 x, then x = cos y

Derivative of cos inverse

  1. Let y = tan-1 x, then x = tan y

Derivative of tan inverse

Differentiation of logarithmic and exponential functions

  1. Let y = ln x

Derivative of ln x

Differentiation of exponents

  1. Let y = ax

If a function is in exponential form, apply natural logarithms on both sides:

ln y = ln ax

ln y = x ln a

Derivative of exponential function

Application of differentiation

Differentiation is applied when finding rates of change, tangents of curves, maximum and minimum values, etc.

i) The rate of change

Example:

The side of a cube is increasing at the rate of 6 cm/s. Find the rate of increase of the volume when the length of a side is 9 cm.

Solution:

Solution steps

Tangents and normals

From a curve, we can find the equations of the tangent and the normal.

Tangent and normal

Example

Find the equations of the tangents to the curve y = 2x2 + x – 6 when x = 3.

Solution:

(x, y) = (3, 5) is the point of contact of the curve with the tangent.

Gradient of the tangent at the curve is

Gradient of tangent

Slope of the tangent [m] = -3

Equation of the tangent at (0, 2) is

Equation of tangent

Slope of the normal

From m1 m2 = -1, given m1 = -3, then

Slope of normal

Equation of the normal is

Equation of normal

Stationary points [turning points]

A stationary point is where dy/dx = 0. It involves:

  • Minimum turning point
  • Maximum turning point
  • Point of inflection

Turning points graph

Nature of the curve of the function

At point A, a maximum value of a function occurs.

At point B, a minimum value of a function occurs.

At point C, a point of inflection occurs.

The point of inflection is a form of S bend.

Note that points A, B, and C are called turning points on the graph or stationary values of the function.

Investigating the nature of the turning point

Minimum points

Minimum turning point

At turning points, the gradient dy/dx changes from negative to positive, i.e., increasing as x increases and is positive at the minimum point.

Maximum points

At maximum points, the gradient changes from positive to negative, i.e., decreases as x increases and is negative at the maximum value of the function.

Maximum turning point

Point of inflection

Point of inflection

This is the change of the gradient from positive to positive or negative to negative, and the second derivative is zero at the point of inflection.

Examples

Find the stationary points and state the nature of these points for the following functions:

y = x4 + 4x3 – 6

Solution:

Stationary points solution

Stationary points at (0, -6) and (-3, -33).

At (0, -6) is a point of inflection.

At (-3, -33) is a minimum point.

Maclaurin’s series [from power series]

Let f(x) = a1 + a2x + a3x2 + a4x3 + a5x4 + a6x5 + …

To establish the series, find the values of the constants a1, a2, a3, a4, a5, a6, etc.

Put x = 0 in the series.

Maclaurin series

Example

Expand e^x in ascending powers of h up to the h3 term, taking 1.7321 and 5.50 as 0.09599c. Find the value of cos 54.5 to three decimal places.

Taylor’s series

Taylor’s series is an expansion useful for finding an approximation for f(x) when x is close to a.

By expanding f(x) as a series of ascending powers of (x – a):

f(x) = a0 + a1(x – a) + a2(x – a)2 + a3(x – a)3 + …

This becomes

Taylor series formula

Example

Expand cos x in ascending powers of x as far as the x3 term.

Introduction to partial derivative

Let f(x, y) be a differentiable function of two variables. If y is kept constant and f is differentiated with respect to x:

Partial derivative with respect to x

Keeping x constant and differentiating f with respect to y:

Partial derivative with respect to y

Example

Find the partial derivatives of fx and fy if f(x, y) = x2y + 2x + y.

Solution:

Partial derivatives solution




');}
Bc0138c3d2dab0944d91d638547c2715

subscriber

5 Comments

  • E53e168614cd87843b23955356c1367f

    Laban, March 13, 2026 @ 4:05 pmReply

    Its o

  • 737b09de7296849f7a6f2d2b55bf5c86

    Haggai obua ayuku, November 6, 2024 @ 1:10 pmReply

    It is okay

  • 0e0dfbe4a02c2e6265099d2a5b01e82f

    Mooli Erinamu, September 16, 2024 @ 5:28 pmReply

    This was my best topic in my life at A level but unfortunately I passed but failed to find next level due to poverty at home

  • 60ed6b63feb9528580536ae525d49c44

    NUWAMANYA EMMANUEL KRUGER, July 29, 2024 @ 7:08 pmReply

    It has been a great topic and I have tried to master the basics thanks very much a nice job!!!!!

  • D21215728fccc066a89acd2c38c13ecf

    Samuel Twinerugaba, June 30, 2024 @ 7:27 amReply

    Mostly UNEB questions

Leave a Reply

Your email address will not be published. Required fields are marked *

Accept Our Privacy Terms.*