Finding Gradients (Edexcel IGCSE Further Pure Maths): Revision Note

Exam code: 4PM1

Roger B

Written by: Roger B

Reviewed by: Dan Finlay

Updated on

Finding Gradients

How do I find the gradient of a curve at a point?

  • The gradient of a curve at a point is the gradient of the tangent to the curve at that point

    • Find the gradient by substituting the value of x at that point into the derivative of the curve

  • For example, if f(x)=x2+3x4

    • then f'(x)=2x+3

    • the gradient of y=f(x) when x=1 is  f'(1)=2(1)+3=5

    • the gradient of y=f(x) when x=2 is  f'(2)=2(2)+3=1

  • Your exam calculator cannot find a derivative function in terms of x

    • But it may be able to find the numerical value of a derivative at a point

    • You can use this to check your work

Worked Example

A function f is defined by f(x)=x36x2+5x12.

(a) Find f'(x).

This is a 'powers of x' derivative

f'(x)=3x316(2x21)+5


f'(x)=3x212x+5

 

(b) Show that the curve y=f(x) goes through the point (2, 18), and find the gradient of the tangent to the curve at that point.

Substitute x=2 into f(x)


f(2)=(2)36(2)2+5(2)12=824+1012=18



f(2)=18 so the curve goes through (2, 18)


Now substitute x=2 into f'(x) to find the gradient


f'(2)=3(2)212(2)+5=1224+5=7


gradient =7

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Roger B

Author: Roger B

Expertise: Development Editor

Roger's teaching experience stretches all the way back to 1992, and in that time he has taught students at all levels between Year 7 and university undergraduate. Having conducted and published postgraduate research into the mathematical theory behind quantum computing, he is more than confident in dealing with mathematics at any level the exam boards might throw at you.

Dan Finlay

Reviewer: Dan Finlay

Expertise: Portfolio Lead

Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.