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Summary Gradients and Derivatives (Calculus) - Detailed Notes - Grade 12 Mathematics

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This document contains detailed in-depth notes about gradients and derivatives (calculus) for grade 12 mathematics. The following topics are dealt with: 1.1 Important Definitions and Notes for Gradients 1.2 Important Definitions and Notes for Average Gradients 1.3 Gradient from First Principles 1.4 Rules for Differentiation Alongside each of the topics listed above, there are numerous worked examples that are covered step by step.

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1


Mathematics – Grade 12 Notes
Calculus – Gradients and Derivatives


Content:
Gradients and Derivatives:
1.1 Important Definitions and Notes for Gradients
1.2 Important Definitions and Notes for Average Gradients
1.3 Gradient from First Principles
1.4 Rules for Differentiation


1.1 Important Definitions and Notes for Gradients
➢ Gradient/Slope – The gradient or slope of a function indicates the rate at which 𝑦
changes as 𝑥 changes. Furthermore, it indicates the ‘steepness’ (inclination) of the
graph compared with the 𝑥-axis.


➢ Important Notations:
o The gradient of a graph is often symbolised by 𝑚 or 𝑎.
o The change in a variable is symbolised by ∆.
∆𝑦
▪ Thus, the gradient is equal to the change in 𝑦 over the change in 𝑥 (∆𝑥).



➢ The straight line (linear) graph is the only graph that has a constant gradient. In other
words, the gradient does not change. At every point along the graph, the gradient is
the same.



∆𝑦 𝑦2 − 𝑦1
𝑚= =
∆𝑥 𝑥2 − 𝑥1
The gradient is found by subtracting the
two 𝑦-values from each other and then
dividing that by the subtraction of the
two 𝑥-values but it very important to
keep the same order when subtracting.
As seen above it is point 1 (𝑥1 , 𝑦1 ) that is
subtracted from point 2 (𝑥2 , 𝑦2 ).




Pia Eklund 2023

, 2


➢ Unlike straight line graphs, curves have a constantly changing gradient. Let’s look at
the parabola as an example of this:


Let’s observe the gradient of the
parabola from left to right.

As we can see, the gradient starts of
very steep and has a negative
gradient (as 𝑥 increases in value, 𝑦
decreases). As it gets closer and
closer to the turning point (tip) the
gradient becomes less and less steep.
At the turning point the gradient is 0
(there is no angle between the graph
and the 𝑥-axis). After the turning point
it continues in the positive direction (as
𝑥 increases, 𝑦 also increases) and
becomes steeper and steeper.



1.2 Important Definitions and Notes for Average Gradients
➢ The average gradient between two points on a curve can be found by joining the two
points with a straight line and then finding the gradient of that line.




∆𝑦 𝑦𝑏 −𝑦𝑎
Average gradient = 𝑚 = =
∆𝑥 𝑥𝑏 −𝑥𝑎




➢ Secant – a line that passes through any two distinct point on a curve.
➢ Tangent – a line that touches the curve at one point.




https://www.desmos.com/calculator




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