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Knowing the gradient formula tells you more than the steepness at a single point. Its tells you where a function is going up, where it is going down, and — where the gradient is zero — where it pauses. Those pauses, the , are the peaks and troughs that sketching and optimisation depend on.
The big picture
A positive derivative means the function is increasing; negative means decreasing. So solving the inequality turns a question about the shape of a graph into an algebra problem you already know how to solve. The boundaries between increasing and decreasing regions are where , the stationary points, and checking the sign of the gradient either side classifies each as a maximum, a minimum or a point of inflection. That sign test always works, even when the second-derivative test in the next lesson fails, and it underpins curve sketching, proving that a function is one-to-one, and justifying where iterative methods will converge.
What you'll be able to do
A function is on an interval if throughout it, and if . Similarly for decreasing with and .
To find where a function is increasing, differentiate, then solve as an inequality. Quadratic inequalities need a sketch of the derivative.
Solving is just a quadratic inequality. Sketch the parabola and read off where it is below the axis — the same skill from the quadratics topic, applied to a derivative.
To prove a function is increasing for all , show that its derivative is positive for all . Completing the square is the standard way to do this for a quadratic derivative.
An increasing function is one-to-one, so this is also a way to prove that an inverse exists.
Tip — A conclusion sentence is required: "since for all , is an increasing function". The proof is not complete without it.
A is where — the tangent is horizontal.
There are three kinds. A : the gradient changes from positive to negative. A : from negative to positive. A : the gradient has the same sign on both sides.
To find them, solve for , then substitute each root into for the -coordinate.
For , is zero at but positive on both sides. The curve flattens momentarily and carries on rising: a stationary point of inflection.
When testing signs, choose test values between consecutive stationary points (and not beyond the next one), so that you are genuinely looking at the gradient just either side.
The sign test works for any differentiable function, including cases where the second derivative is zero or awkward to compute.
Tip — A table with columns for slightly less than, at, and slightly more than the stationary point, and rows for the sign of and a sketch of the slope, is clear and earns method marks.
Think like an examiner
Common misconceptions
Gradient and shape
Stretch yourself
The function is increasing for all real . Find the set of possible values of .
Hint — The derivative is a quadratic. For it to be non-negative everywhere, what must be true of its discriminant?
Questions students ask
Key takeaways
How this fits the course
Test yourself
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