4.6, 4.7 - Stationary points and the second derivative
Locate a curve's stationary points and decide whether each is a maximum, a minimum or neither. You will use the second derivative, which measures how the gradient changes, and check gradient signs when that test cannot decide.
Locating stationary points
Does a horizontal tangent always mark a maximum or a minimum? The curve has a horizontal tangent at the origin, yet it keeps rising through that point. We will explain this apparent exception after learning to locate every stationary point reliably.
You already know
The gradient function is . A positive gradient means the curve rises as you move right, and a negative gradient means it falls. For integer , use ; constants differentiate to zero.
A horizontal tangent has gradient zero. That gives an equation for the input , but not the point's height. After solving it, substitute into the original curve equation for .
Stationary point
A stationary point is a point on a differentiable curve where . Its tangent is horizontal. A turning point is a local maximum or minimum, where the curve changes from rising to falling or from falling to rising. A stationary point need not be a turning point.
The word “local” compares a point with nearby points on the curve. A local maximum need not be the highest point on the entire graph.
Stationary-point coordinates
At an interior point where the derivative exists,
locates stationary inputs. Substitute each allowed input into the original expression for to obtain its coordinates. This condition alone does not establish a maximum or minimum.
Not on the formulae sheet: learn it.
Keep the gradient equation and the height calculation on separate lines.
Worked example 1: two stationary points
Question. Work out the coordinates of the stationary points of .
Plan. Differentiate, solve the zero-gradient equation and substitute both inputs into the curve.
Why this step? Solving gives inputs. It does not mean the outputs are zero.
Answer. The stationary points are and .
Check. At both inputs, , so both tangents are horizontal. Each coordinate pair also satisfies the original equation.
Worked example 2 adds only a constant, , to the curve. Its heights change, but its gradients do not.
Worked example 2: shifting the curve upwards
Question. Work out the coordinates of the stationary points of .
Plan. Solve the same gradient equation, then use the new curve for the heights.
Why this step? Moving a curve vertically preserves its tangent directions. The same stationary inputs now have outputs greater.
Answer. The stationary points are and .
Check. Adding to the earlier heights and gives and , as expected.
The derivative tells you where to look; the original function tells you where the point sits.
Watch out
Wrong: , so the stationary point has . Right: the gradient is zero. Calculate separately; neither point in Worked example 2 lies on the -axis.
Use new coefficients in the next stationary-point calculation.
Measuring how the gradient changes
Differentiate the gradient function to measure how quickly the gradient itself changes as increases.
For , the gradient is . At , the gradient is , so the curve falls. Yet the gradient function is increasing: its gradient is . A rising gradient and a rising curve are different statements.
Second derivative
The second derivative, written , is the derivative of the gradient function. It measures the rate of change of with respect to . It is not the square of the first derivative.
A positive second derivative means the gradient is increasing locally; a negative one means the gradient is decreasing locally. An increasing gradient can still be negative, as a descending curve becomes less steep.
Differentiating twice
Where the relevant derivatives exist,
For the integer powers used here, apply the power rule again to every term of the first derivative.
Not on the formulae sheet: learn it.
Negative powers follow exactly the same rule. Rewrite a reciprocal as a power before differentiating.
Worked example 3: differentiating a reciprocal twice
Question. For , where , work out and interpret its sign.
Plan. Write as , then differentiate twice.
Why this step? The first derivative's coefficient is already negative. Multiplying it by the exponent gives a positive coefficient.
Answer. for , so the gradient is increasing throughout the domain.
Check. At , the second derivative is , positive. The first derivative there is , showing that the two derivatives have different roles.
Change only the plus sign before the reciprocal to minus. Track the sign through both differentiations.
Worked example 4: reversing the reciprocal's sign
Question. For , where , work out and interpret its sign.
Plan. Differentiate twice.
Why this step? You differentiate the current expression, , rather than returning to the original power .
Answer. for , so the gradient is decreasing throughout the domain.
Check. At , the second derivative is . The first derivative is : the curve is rising even though its gradient is decreasing.
The sign of the second derivative describes the change in slope. It does not by itself tell you whether the curve is above the axis or rising.
Watch out
Wrong: differentiating gives . Right: .
Apply the same two differentiations to another reciprocal expression.
Classifying maxima and minima
At a stationary point, the sign of the second derivative usually tells you which way the curve turns.
At a minimum, the gradient changes from negative to positive: it is increasing through zero. At a maximum, it changes from positive to negative: it is decreasing through zero. This explains the signs in the test.
Second-derivative test
For a stationary point at on a curve with a continuous second derivative near ,
If the second derivative is zero, the test is inconclusive. Check gradient signs on both sides instead.
Not on the formulae sheet: learn it.
Always establish stationarity first. A positive second derivative at an arbitrary point does not make that point a minimum.
Continue this lesson.
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