For the content areas of Mathematics Specialised, the proficiency strands – Understanding; Fluency; Problem Solving; and Reasoning – build on learners’ learning in F-10 Australian Curriculum: Mathematics, Mathematics Methods – Foundation Level 2, and Mathematics Methods Level 3. Each of these proficiencies is essential, and all are mutually reinforcing. They are still very much applicable and should be inherent in the study, and applications, of four (4) topics of mathematics:
- Sequences and Series
- Complex Numbers
- Matrices
- Calculus.
Each topic is compulsory and their content relates to Criteria 4 – 8. Criteria 1 – 3 apply to all four topics of mathematics.
SEQUENCES AND SERIES
The intention of this section of the course is that learners will gain experience with a range of sequences and series by learning about their properties, meet some of the important uses of them, begin to understand the ideas of convergence and divergence and develop some methods of proof.
This area of study will include:
- arithmetic and geometric sequences and series, including the development of formulae for the `n^"th"` term and the sum to `n` terms
- the “sum of infinity” of geometric series, and the conditions under which it exists
- the definition of a sequence as a function defined on the natural numbers
- the formal definition of a convergent sequence, and the broad definition of a divergent sequence as one which does not converge
- the formal definition of a sequence which diverges to either plus infinity or minus infinity, and an informal consideration of sequences which oscillate finitely or infinitely
- simple applications of the formal definitions to establish the convergence or divergence of given sequences
- consideration of the special sequences `{x^n}` and `{(1 + 1/n)^n}`
- recursive definitions and sigma notation
- mathematical induction applied to series
- the results `sum_(r=1)^nr=(n(n + 1))/2`, `sum_(r=1)^nr^2 = (n(n + 1)(2n + 1))/6` and `sum_(r=1)^nr^3 = (n^2(n + 1)^2)/4` established by a “method of differences” or by mathematical induction, and the sums of series utilising these results
- “methods of differences” applied to series such as `sum_(r=1)^nr(r + 1)(r + 2)`, `sum_(r=1)^n1/((2r - 1)(2r + 1)(2r + 3))` and `sum_(r=1)^oo1/((2r - 1)(2r + 1)(2r + 3))`
- MacLaurin series for simple functions such as `(1 + x)^n`, `sin ax`, `cos ax`, `e^(ax)` and `ln(x + 1)`, with an informal consideration of interval of convergence.
COMPLEX NUMBERS
The intention of this section of the course is to introduce learners to a different class of numbers, to appreciate that such numbers can be represented in several ways and to understand that their use allows factorisation to be carried out more fully than was previously possible.
This area of study will include:
- the Cartesian form of a complex number `a + ib`, its real and imaginary parts, and fundamental operations involving complex numbers in this form
- representation of a complex number on the Argand plane as a point or vector
- the polar form of a complex number `r(cos theta + i sin theta)` or `r cis theta`
- Euler’s formula `e^(i theta) = cos theta + i sin theta`, justified using MacLaurin series or differential equations
- the modulus `|z|`, argument `arg(z)` and principal argument `Arg(z)` of a complex number
- multiplication and division of complex numbers in polar form, including the use of De Moivre’s theorem
- the results `cis theta + cis (-theta) = 2 cos theta`, `cis theta - cis (-theta) = 2i sin theta` and `(z - cis theta)(z - cis (-theta)) = z^2 - 2 cos theta.z + 1`
- the conjugate `bar z` of a complex number, and the result that `z.bar z = |z|^2`
- De Moivre’s theorem and its proof for rational exponents
- application of De Moivre’s theorem to solving equations of the form `z^n = p` where `n` is a positive integer, including sketching the solutions set on the Argand plane
- application of De Moivre’s theorem to factorising a polynomial into linear and real (quadratic) factors, and to simplifying expressions such as `(1 + i)^5(sqrt3 - i)^4`
- regions of the Argand plane satisfying simple functions – straight lines, polynomials, hyperbola, truncus and square roots as well as circles and ellipses and combinations of these, e.g. `|z| >= 4`, `pi/6 < Arg(z) <= (2pi)/3[Im(z - 1)]^2 + [Re(z + 1)]^2 = 1`, not including locus problems
- informal treatment of the Fundamental Theorem of Algebra and the conjugate root theorem.
MATRICES
The intention of this section of the course is to introduce learners to new mathematical structures and to help them appreciate some of the ways in which these structures can be put to use. Trigonometric identities should be used to develop ideas in matrices and linear transformations, but will not be externally assessed in isolation.
This are of study will include:
- addition and multiplication of matrices, including the concepts of identities, inverses, associativity and commutativity
- determinant of a 2 x 2 matrix, and the idea of singularity or non-singularity
- solutions of two equations in two unknowns or three equations in three unknowns, including the process of Gauss-Jordan reduction, and the use of technology to solve larger systems (applications should be included)
- the definition of a linear transformation (with an emphasis on non-singular transformations), and its representation by a matrix
- the image of a point, the “unit square”, a straight line, a circle or a curve under a non-singular linear transformation
- a study of dilation, shear, rotation (about the origin) and reflection (in the line `y = tan (alpha).x`) transformations and composites of these
- the relationship between the determinant of a matrix and the area of an image
- composition of transformations used to develop the addition theorems for `cos(A +- B)`, `sin(A +- B)` and `tan(A +- B)`
- the “double angle” formulae for `cos 2A`, `sin 2A` and `tan 2A`
- “sums to products” formulae
- “products to sums” formulae.
CALCULUS
The intention of this section of the course is to extend learners’ existing knowledge and understanding of a very important branch of mathematics by developing a greater capacity for integrating functions and by introducing learners to simple differential equations and their uses.
This section of the course develops and extends the ideas introduced in the Mathematics Methods course.
This area of study will include:
- implicit differentiation and its use in finding tangents and normals to curves
- a review of rules for differentiating functions as described in Mathematics Methods, derivatives of inverse trigonometric functions, `a^x` and `log_a x`, and compositions of these
- application of first and second derivatives to curve sketching, including stationary points and points of inflection
- review of the Fundamental Theorem of Calculus
- properties of definite integrals:
`int_a^a f(x)dx = 0` |
`int_a^b f(x)dx = -int_b^a f(x)dx` |
`int_a^b f(x)dx + int_b^c f(x)dx = int_a^c f(x)dx` |
`int_a^b k.f(x)dx = k int_a^b f(x)dx`, for `k` constant |
`int_a^b [f(x) +- g(x)]dx = int_a^b f(x)dx +- int_a^b g(x)dx` |
|
- applications of definite integrals to finding areas under or between curves and to finding volumes of solids of revolution about either the x-axis or the y-axis
- the trapezoidal rule and its use to approximate the area under a curve of a non-integrable function
- techniques of integration, using trigonometric identities (“double angle” formulae and "products to sums"), partial fractions, change of variable and integration by parts
- first order linear differential equations of the type:
`dy/dx = f(x)` |
`dy/dx = f(y)` |
`f(x) + g(y).dy/dx = 0` |
`dy/dx = f(y/x)` |
- applications of differential equations, but not including input/output problems.
APPLICATIONS
Learners will be given opportunities to analyse situations that reinforce skills and concepts studied in this course. Extended problems, investigations and applications of technology are strongly recommended. Examples include the following:
- graphs of functions in polar form
- graphs of functions in parametric form
- coding with matrices
- matrices in the real world, such as Markov chains or Leslie Matrices
- translations
- length of a curve
- mathematical induction involving inequalities or recursively defined sequences and series
- monotonicity and boundedness of sequences
- logistic equations
- Mandelbrot set
- simple harmonic motion
- Correolis component of acceleration (as affects our weather)
- Spring–Mass systems
- balancing of a 6-cylinder petrol engine
- centripetal acceleration (derivative of equation).