Functions: notes and practice questions
The vocabulary the rest of the course leans on: straight lines, domain and range, graphing, key features and modelling with functions, capped by "modelling skills" as its own SL subtopic, which is distinctively AI: there is no equivalent standalone skills subtopic in AA. HL adds composite and inverse functions, transformations, further models (logistic and trigonometric), and scaling and linearising with logarithms. The hard parts are choosing the right model family for a context and reading a log-linearised graph correctly. Heavily technology-driven: almost everything here is set up by hand and solved on the GDC.
Subtopics
- Practice questionsFunctions, domain, range
A function maps each input to exactly one output (one-to-one or many-to-one). Vertical Line Test: If a vertical line intersects a graph more than once, it is not a function.
- Practice questionsSketching graphs
Sketch: Produce a rough graph outline, clearly label all key points (intercepts, minimums/maximums, asymptotes). Draw: Produce an accurate graph on a scaled grid, plot specific points from GDC, join with a straight line or smooth curve.
- Practice questionsGraph features (max / min, axis intercepts, symmetry, vertex, asymptotes & intercepts (GDC))
x-intercepts (roots/zeros): Points where . y-intercept: Point where .
- Practice questionsModelling (linear, quadratic, exponential growth/decay, cubic, sinusoidal)
Modelling: Simplifies real-world situations for prediction/analysis. Domain restrictions: Always consider real-life context (e.g., , , ).
- Practice questionsDeveloping, fitting, validating and interpreting mathematical models
Mathematical Model: Simplifies real-world situations for mathematical description and prediction. Assumptions: Simplify mathematics (e.g., ignoring air resistance).
- Practice questionsStraight line (gradient-int, general, point gradient form)HL only
Gradient measures slope: for points and . Gradient-intercept form: , where is gradient and is y-intercept.
- Practice questionsComposite & inverse functionsHL only
A composite function or applies one function to the output of another; the function closest to is applied first. For to be valid, the range of must be within the domain of .
- Practice questionsTransformations of graphs (translation, reflections, stretches)HL only
Transformations alter position, orientation, or size; use "stretch" with a scale factor. Horizontal translation by vector : , , VA: .
- Practice questionsHL Modelling (half life, sinusoidal w/ phase shift, logistic, log, piecewise)HL only
Mathematical model: simplifies real-world situations for mathematical description and prediction. Initial Value: starting value when independent variable (e.g., ) is zero.
- Practice questionsScaling using logarithms, linearizing data with logs + interpretingHL only
Logarithmic scales convert exponentially increasing values (e.g., 1, 10, 100) to a manageable linear scale (e.g., 0, 1, 2) by using logarithms. Semi-log graphs have one logarithmic axis and one linear axis.