Differentiation
Gradients and the power rule
What the gradient of a curve means, how chords close in on the tangent, and the power rule that makes differentiating fast, including roots, fractions and second derivatives.
≈ 45 minDerivatives of eˣ, ln x and trigonometric functions
The derivatives of , , , and , why they need radians, and how to combine them with the chain rule for functions like , and .
≈ 40 minThe product and quotient rules
How to differentiate two functions multiplied together, , or divided, , and how to tidy the result by factorising, so it is ready for finding stationary points.
≈ 45 minThe chain rule
How to differentiate a function of a function, such as or , without multiplying out: differentiate the outside, keep the inside, and multiply by the derivative of the inside.
≈ 40 minImplicit differentiation
Differentiating curves like that can't easily be written as : differentiate every term with respect to , remembering that terms pick up a factor .
≈ 45 minTangents and normals
Using to find the equation of the tangent and the normal to a curve at a point, points where the tangent has a given gradient, and the follow-on problems examiners love.
≈ 40 minStationary points and increasing functions
Where a curve turns: finding stationary points with , deciding whether each is a maximum or minimum with the second derivative, and finding where a function is increasing or decreasing.
≈ 45 minParametric differentiation
Curves described by a third variable : , . How to find their gradient with , and how to find tangents and special points.
≈ 40 minStationary points and tangents
Putting the Pure 2/3 rules to work: finding exact stationary points of curves like and , deciding their nature, and finding tangents and normals.
≈ 45 minOptimisation and rates of change
Using derivatives to answer real questions: the largest area, the smallest surface, the cheapest design, and how fast one quantity changes when another one does.
≈ 50 min