Differentiation

Interpret derivative graphs and solve problems about tangents, normals, optimisation and connected rates.

  • 6 lessons

Function, gradient and local change

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SEAB syllabus · 2027 · MOE syllabus

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About this topic

Before you begin

Interpret derivative graphs and solve problems about tangents, normals, optimisation and connected rates.

Learning goals
  • Relate a function to its derivative graphs
  • Find and interpret a tangent to a curve
  • Find the complete tangent to a polynomial at a stated input
  • Construct a polynomial tangent using its derivative and contact values
  • Differentiate implicit and parametric relationships within stated scope
  • Find and interpret a normal to a curve
  • Classify stationary points using justified derivative tests
  • Relate connected rates of change
  • Model and solve an optimisation problem
  • Form a polynomial model from a described situation and find its optimum
  • Find every input where a polynomial curve is concave upward or downward
  • Find the gradient and the tangent or normal at a point on an implicit curve
  • Find dy/dx in terms of the parameter and the tangent or normal at a point
Syllabus statements covered
  • Include: graphical interpretation of f′(x) > 0, = 0, < 0 and f″(x) > 0, < 0; relating f′ and f graphs; simple implicit and parametric differentiation; first or second derivative tests for local extrema and stationary points of inflexion in simple cases; calculator or software location of extrema and approximate derivative at a point; tangents and normals including implicit and parametric curves; local extrema and connected rates of change. Exclude non-stationary points of inflexion and second derivatives of parametric functions.
  • Include: graphical interpretation of f′(x) > 0, = 0, < 0 and f″(x) > 0, < 0; relating f′ and f graphs; simple implicit and parametric differentiation; first or second derivative tests for local extrema and stationary points of inflexion in simple cases; calculator or software location of extrema and approximate derivative at a point; tangents and normals including implicit and parametric curves; local extrema and connected rates of change. Exclude non-stationary points of inflexion and second derivatives of parametric functions.

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