Topic 2 Functions
SL 2.1 Different forms of the equation of a straight line.
Gradient; intercepts. Lines with gradients m1 and m2 Parallel lines m1 = m2. Perpendicular lines m1 × m2 = − 1.
SL 2.2 Concept of a function, domain, range and graph. Function notation, for example f(x) , v(t) , C(n).
The concept of a function as a mathematical model.
Informal concept that an inverse function reverses or undoes the effect of a function.
Inverse function as a reflection in the line y = x, and the notation f −1(x)
SL 2.3 The graph of a function; its equation y = f(x)
Creating a sketch from information given or a context, including transferring a graph from screen to paper.
Using technology to graph functions including their sums and differences.
SL 2.4 Determine key features of graphs. Maximum and minimum values; intercepts; symmetry; vertex; zeros of functions or roots of equations;
vertical and horizontal asymptotes using graphing technology.
Finding the points of intersection of two curves or lines using technology.
SL 2.5 Modelling with the following functions: Linear models. f x = mx + c.
Quadratic models. f x = ax2 + bx + c ; a ≠ 0. Axis of symmetry, vertex, zeros and roots, intercepts on the x-axis and y -axis.
Exponential growth and decay models. f(x) = kax + c f(x) = ka−x + c (for a > 0) f(x) = ke rx + c Equation of a horizontal asymptote
Direct/inverse variation: f x = axn , n ∈ ℤ The y-axis as a vertical asymptote when n < 0.
Cubic models: f x = ax3 + bx2 + cx + d. Sinusoidal models: f x = asin(bx) + d, f x = acos(bx) + d.
SL 2.6 Modelling skills: Use the modelling process described in the “mathematical modelling” section to create, fit and use the theoretical models
in section SL2.5 and their graphs.
Develop and fit the model: Given a context recognize and choose an appropriate model and possible parameters.
Determine a reasonable domain for a model. Find the parameters of a mode
Test and reflect upon the model: Comment on the appropriateness and reasonableness of a model.
Justify the choice of a particular model, based on the shape of the data, properties of the curve and/or on the context of the situation.
Use the model: Reading, interpreting and making predictions based on the model.
Videos Set 1:
Videos Set 2: