How do you analyse a function's features to sketch its curve and apply rates of change?
Examine the properties of functions, including domain, asymptotes, symmetry and stationary points, to sketch the graph of a rational or other function, and apply differentiation to rates of change and optimisation problems.
A focused answer to the SQA Advanced Higher Mathematics functions and graph sketching content, covering domain and symmetry, vertical and non-vertical asymptotes of rational functions, stationary points and their nature, the systematic sketching of a curve, and applying differentiation to rates of change and optimisation.
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What this dot point is asking
The SQA wants you to analyse a function's features, domain, symmetry, asymptotes and stationary points, well enough to sketch its graph, and to apply differentiation to rates of change and optimisation. This pulls the differentiation toolkit into a single, structured task.
Properties of functions
Before sketching, read off the structural features. The domain excludes any input that breaks the function, such as a value making a denominator zero or a square root negative. Symmetry saves work: a function is even if (symmetric in the -axis) and odd if (symmetric under a half-turn about the origin).
Asymptotes of rational functions
A rational function can run off to infinity in two ways. A vertical asymptote occurs at any where the denominator is zero but the numerator is not. A non-vertical (horizontal or oblique) asymptote describes the behaviour as , found by algebraic division.
When the numerator degree is exactly one more than the denominator, division leaves a linear part, giving an oblique (slant) asymptote instead of a horizontal one.
Stationary points and sketching
Stationary points occur where ; classify each as a maximum, minimum or point of inflection using the second derivative or a nature table. With the domain, intercepts, asymptotes and stationary points in hand, a clean sketch follows.
Rates of change and optimisation
A rate-of-change problem links two changing quantities through a derivative; an optimisation problem maximises or minimises a quantity subject to a constraint. The method is the same: express the target as a function of one variable using the constraint, differentiate, set the derivative to zero, and confirm the nature with the second derivative. A connected-rates problem additionally uses the chain rule to link two rates, for example , when a volume and a radius both change with time. In every case the structure is the same: find the relationship, differentiate, and substitute the known values at the instant in question.
Try this
Q1. State the vertical asymptote of . [1 mark]
- Cue. , where the denominator is zero.
Q2. Is even or odd? [1 mark]
- Cue. , so it is odd.
Exam-style practice questions
Practice questions written in the style of SQA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
AH style: asymptotes4 marksFind the vertical and non-vertical asymptotes of .Show worked answer →
Vertical asymptote where the denominator is zero: , so (1 mark).
Divide to find the non-vertical asymptote: (2 marks).
As the remainder , so the oblique asymptote is (1 mark). Markers reward the vertical asymptote, the algebraic division, and identifying the slant asymptote from the polynomial part.
AH style: optimisation5 marksA closed cylinder has volume . Find the radius that minimises its surface area.Show worked answer →
Volume , so (1 mark).
Surface area (1 mark).
; set to zero: , so and (2 marks).
, confirming a minimum (1 mark). Markers reward the constraint, the surface-area function, the derivative set to zero, and the second-derivative check.
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Sources & how we know this
- SQA Advanced Higher Mathematics Course Specification — SQA (2019)