Differentiation
Differentiation
We use differentiation to find the gradient of a graph at any given point – that’s the steepness of the graph.
Notation and Formula
So, let’s say we’ve got a function .
Our derivative, or , is the result of differentiating with respect to , given by the equation
This derivative gives a formula for the graph’s gradient for any value of .
As an example, let .
Then
Negative and Fractional Roots
Fear not, we’ll just apply the same formula as before.
Here’s a couple of examples:
Let . Then
Let . Then
Differentiating a Linear Combination of Terms
For functions which involve multiple terms, we should differentiate each term individually.
So, say .
Then
Notice how the term without , “” becomes in the expression for . This is true for all constant terms (i.e. those which do not have an term).
Example: Simplification Before Differentiation
Say we have a graph of . Find an expression for the derivative with respect to .
[3 marks]
Differentiating this off the bat would be a little tricky (at least, for now), so we’ll have to expand the brackets first.
Expanding the expression gives
So,
Differentiation Example Questions
Question 1: Write the derivative of with respect to .
[1 mark]
Question 2: Given that , find the derivative with respect to .
[2 marks]
Question 3: By first simplifying the expression , find the derivative with respect to .
[3 marks]
Question 4: For the graph of , find the gradient when .
[3 marks]
First, expand the brackets:
Then, differentiating with respect to gives
When ,
Specification Points Covered
G1 – Understand and use the derivative of as the gradient of the tangent to the graph of at a general point ; the gradient of the tangent as a limit; interpretation as a rate of change; sketching the gradient function for a given curve; second derivatives; differentiation from first principles for small positive integer powers of
G2 – Differentiate , for rational values of , and related constant multiples, sums and differences