Gradients, Rates of Change and Second Derivatives
Substitute an -value into to get the gradient there; set equal to a number to find where the curve has that gradient. Differentiating again gives the second derivative , the rate at which the gradient itself changes.
Learning objectives
- Find the gradient of a curve at a given point.
- Find the points where the gradient has a given value.
- Interpret as a rate of change.
- Find and evaluate second derivatives.
A ball's height is metres after seconds. What would tell you? And ?
Core idea
At the very top of a hill the ground is momentarily flat. Find where a curve's gradient is zero and you've found its peaks and valleys: the key to every "maximum profit" or "least material" problem.
increasing, decreasing, stationary. Classify with : negative = maximum, positive = minimum.
1. Stationary points
tells whether the gradient is falling (max) or rising (min).
Stationary points, their nature, and where is decreasing.
- Goal
- Points; interval.
- Strategy
- Flowchart.
- Differentiate and factorise.
- , .
- Signs.
- Decreasing where gradient negative.
Show is increasing for all .
- Goal
- Proof.
- Strategy
- Show always.
- Differentiate.
- Squares are non-negative.
Stationary point of ?
Summary
- Gradient zero at stationary points.
- Second derivative classifies.
- Stationary point
- Where the gradient is zero.
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