First principles, differentiating x^n, gradient functions, rates of change.
Differentiation finds the rate of change of a function — geometrically, it gives the gradient of the curve at any point.
For any real number n:
dxd(xn)=nxn−1
This works for positive integers, negative powers, and fractions.
Differentiate y=x5
dxdy=5x4
Differentiate f(x)=3x4−2x3+7x−5
f′(x)=12x3−6x2+7
Differentiate y=x24+3x
Rewrite: y=4x−2+3x1/2
dxdy=−8x−3+23x−1/2=−x38+2x3
Differentiate y=x2(3x−1)
Expand: y=3x3−x2
dxdy=9x2−2x
Find the gradient of y=2x3−x+4 at the point where x=2
dxdy=6x2−1
At x=2: dxdy=6(4)−1=23
Simplifying surds, laws of indices, rationalising denominators.
Completing the square, discriminant, solving quadratic equations and inequalities.
Finding equations of tangents and normals to curves at given points.
Finding and classifying stationary points. Second derivative test. Optimisation problems.
Differentiating composite functions using the chain rule.
Differentiating products of two functions using the product rule.
Integration as the reverse of differentiation, integrating x^n, finding constants of integration.
Using change of sign to locate roots of equations, interval bisection.
Using the Newton-Raphson formula to find approximate roots, graphical interpretation.
Using differentiation and integration for variable acceleration, displacement-velocity-acceleration relationships.