IGCSE Additional Mathematics (0606) – Core Topics Overview
1. Functions (Syllabus 1.1 – 1.8)
| Concept | Key Points |
| Definition & notation | A function \(f\) assigns to each element \(x\) in its domain a unique element \(f(x)\) in its range. Write \(y=f(x)\). |
| One‑to‑one vs. many‑to‑one |
- One‑to‑one (injective): different inputs give different outputs. Horizontal line test – no horizontal line cuts the graph more than once.
- Many‑to‑one: at least two different \(x\) give the same \(y\) (e.g. \(f(x)=x^{2}\) on \(\mathbb R\)).
|
| Inverse function |
- Exists only for a one‑to‑one function.
- Notation: the inverse function is written \(f^{-1}(x)\); not the set \(\{x\mid f(x)=y\}\).
- Procedure: start with \(y=f(x)\), interchange \(x\) and \(y\), then solve for \(y\). The resulting expression is \(f^{-1}(x)\) with its own domain.
|
| Domain restriction for inverses |
Example: \(f(x)=x^{2}\) is many‑to‑one on \(\mathbb R\). Restrict to \(x\ge0\) (or \(x\le0\)) to obtain a one‑to‑one function. Then
- \(y=x^{2},\;x\ge0\)
- Swap: \(x=y^{2}\)
- Solve: \(y=\sqrt{x}\)
Thus \(f^{-1}(x)=\sqrt{x}\) with domain \(x\ge0\).
|
| Composition of functions |
- \((f\circ g)(x)=f\bigl(g(x)\bigr)\). The order matters.
- Domain of \(f\circ g\): all \(x\) in the domain of \(g\) for which \(g(x)\) lies in the domain of \(f\).
Example (order matters):
f(x)=\sqrt{x}, g(x)=x+3
(f∘g)(x)=√(x+3) (defined for x≥‑3)
(g∘f)(x)=x+3 (defined for x≥0)
|
| Graphical relationship of a function and its inverse |
- The graph of \(y=f^{-1}(x)\) is the reflection of the graph of \(y=f(x)\) in the line \(y=x\).
- Any point \((a,b)\) on \(f\) corresponds to \((b,a)\) on \(f^{-1}\).
Sketch description: draw a parabola \(y=x^{2}\) (restricted to \(x\ge0\)), then reflect it across the line \(y=x\) to obtain the square‑root curve.
|
| Trigonometric functions as special cases |
Domain and range ideas apply equally to \(\sin x,\;\cos x,\;\tan x\) and their transformed forms.
Example: \(y=2\sin(3x)+1\). Domain: all real numbers (since \(\sin\) is defined everywhere). Range: \(1-2\le y\le1+2\), i.e. \([-1,3]\).
|
Worked Example – Finding an Inverse with a Restricted Domain
Given \(f(x)=x^{2}+2x-3\) with the restriction \(x\ge-1\), find \(f^{-1}(x)\).
- Write \(y=x^{2}+2x-3\).
- Complete the square: \(y=(x+1)^{2}-4\;\Rightarrow\;(x+1)^{2}=y+4\).
- Because \(x\ge-1\), take the positive root: \(x+1=\sqrt{y+4}\).
- Swap symbols: \(f^{-1}(x)=\sqrt{x+4}-1\), with domain \(x\ge-4\).
2. Quadratic Functions (Syllabus 2.1 – 2.5)
- Standard form: \(f(x)=ax^{2}+bx+c\) (\(aeq0\)).
- Vertex (factor) form: \(f(x)=a(x-h)^{2}+k\) where \((h,k)\) is the vertex.
- Conversion by completing the square: \(h=-\dfrac{b}{2a},\;k=f(h)\).
- Discriminant: \(\Delta=b^{2}-4ac\).
- \(\Delta>0\) – two distinct real roots.
- \(\Delta=0\) – one repeated real root (graph touches the \(x\)-axis).
- \(\Delta<0\) – no real roots (graph does not intersect the \(x\)-axis).
- Maximum / minimum:
- If \(a>0\) the parabola opens upwards → vertex is a minimum.
- If \(a<0\) the parabola opens downwards → vertex is a maximum.
- Both the completing‑square method and the first‑derivative test give the same result (see Section 7).
- Solving quadratic equations:
- Factorisation (when possible).
- Quadratic formula \(\displaystyle x=\frac{-b\pm\sqrt{\Delta}}{2a}\).
- Completing the square.
- Quadratic inequalities:
- Find the roots, sketch the parabola, and use the sign of \(a\) to decide where the expression is \(>0\) or \(<0\).
Example – Solving a Quadratic Inequality
Solve \(2x^{2}-5x+2<0\).
- Factor: \((2x-1)(x-2)<0\).
- Roots: \(x=\tfrac12\) and \(x=2\).
- Since the leading coefficient \(2>0\), the parabola opens upwards, so the expression is negative between the roots:
\[
\frac12
Example – Maximum/Minimum via Differentiation
Find the vertex of \(f(x)= -3x^{2}+12x-5\) using calculus.
- Derivative: \(f'(x)=-6x+12\).
- Set to zero: \(-6x+12=0\Rightarrow x=2\).
- Second derivative: \(f''(x)=-6<0\) ⇒ local maximum.
- Function value: \(f(2)=-3(2)^{2}+12(2)-5=7\).
- Vertex: \((2,7)\).
3. Factors of Polynomials (Syllabus 3.1 – 3.4)
- Remainder theorem: When \(f(x)\) is divided by \((x-a)\), the remainder is \(f(a)\).
- Factor theorem: \((x-a)\) is a factor of \(f(x)\) iff \(f(a)=0\).
- Factorising cubics (and higher‑degree polynomials):
- Search for an integer root using the factor theorem (test factors of the constant term).
- Divide by the corresponding linear factor (synthetic or long division).
- Factor the remaining quadratic (or repeat the process).
Worked Example – Factorising a Cubic
Factorise \(x^{3}-6x^{2}+11x-6\).
- Test \(x=1\): \(f(1)=0\) ⇒ \((x-1)\) is a factor.
- Divide: \(\displaystyle\frac{x^{3}-6x^{2}+11x-6}{x-1}=x^{2}-5x+6\).
- Factor the quadratic: \((x-2)(x-3)\).
- Result: \((x-1)(x-2)(x-3)\).
4. Equations, Inequalities & Graphs (Syllabus 4.1 – 4.6)
4.1 Absolute‑value equations
- \(|ax+b|=c\;(c\ge0)\) ⇒ \(ax+b=c\) or \(ax+b=-c\).
- \(|ax+b|=dx+e\) – solve by considering the sign of the right‑hand side, or square both sides after checking for extraneous solutions.
4.2 Absolute‑value inequalities
- \(|ax+b|
- \(|ax+b|>c\) ⇒ \(ax+b-c\).
4.3 Solving linear‑trigonometric equations
For equations of the form \(a\sin x+b\cos x=c\) use the auxiliary‑angle method:
- Write \(a\sin x+b\cos x=R\sin(x+\alpha)\) where \(R=\sqrt{a^{2}+b^{2}}\) and \(\tan\alpha=\dfrac{b}{a}\).
- Solve \(\sin(x+\alpha)=\dfrac{c}{R}\) (check that \(|c|\le R\)).
- Give all solutions in the required interval (usually \(0^\circ\le x<360^\circ\) or \(0\le x<2\pi\)).
4.4 Cubic graphs & inequalities
- Identify turning points (stationary points) using differentiation.
- Sketch the curve, marking \(x\)-intercepts, turning points and end behaviour.
- Use the sketch to decide where \(f(x)>0\) or \(f(x)<0\).
Worked Example – Solve \(|2x-3|=x+1\)
- Case 1: \(2x-3\ge0\;(x\ge1.5)\) ⇒ \(2x-3=x+1\Rightarrow x=4\) (valid).
- Case 2: \(2x-3<0\;(x<1.5)\) ⇒ \(-(2x-3)=x+1\Rightarrow -2x+3=x+1\Rightarrow 3x=2\Rightarrow x=\tfrac23\) (valid).
- Solutions: \(x=\dfrac23,\;4\).
5. Simultaneous Equations (Syllabus 5.1 – 5.4)
- Linear–linear systems: substitution or elimination.
- Linear–quadratic systems:
- Express the linear equation for one variable.
- Substitute into the quadratic.
- Solve the resulting quadratic and back‑substitute.
- Quadratic–quadratic systems:
- Subtract the equations to eliminate the squared terms, giving a linear relation.
- Use that linear relation in either original equation to obtain a quadratic in one variable.
- Solve and back‑substitute.
Worked Example – Solving a Quadratic–Quadratic System
\[
\begin{cases}
y= x^{2}+2x-3\\[2mm]
y= -x^{2}+4x+1
\end{cases}
\]
- Equate the right‑hand sides: \(x^{2}+2x-3=-x^{2}+4x+1\).
- Combine: \(2x^{2}-2x-4=0\Rightarrow x^{2}-x-2=0\).
- Factor: \((x-2)(x+1)=0\) ⇒ \(x=2\) or \(x=-1\).
- Find \(y\):
- \(x=2\): \(y=2^{2}+2\cdot2-3=5\).
- \(x=-1\): \(y=(-1)^{2}+2(-1)-3=-2\).
- Solutions: \((2,5)\) and \((-1,-2)\).
6. Logarithmic & Exponential Functions (Syllabus 6.1 – 6.5)
- Exponential form: \(y=a^{x}\) (\(a>0,\;aeq1\)).
- Graph passes through \((0,1)\); horizontal asymptote \(y=0\).
- Logarithmic form: \(y=\log_{a}x\) (inverse of \(a^{x}\)).
- Domain \(x>0\); vertical asymptote \(x=0\).
- Key laws (valid for \(a,b>0,\;aeq1\)):
\[
\begin{aligned}
\log_{a}(bc)&=\log_{a}b+\log_{a}c,\\
\log_{a}\!\left(\frac{b}{c}\right)&=\log_{a}b-\log_{a}c,\\
\log_{a}(b^{n})&=n\log_{a}b,\\
a^{\log_{a}b}&=b,\\
\log_{a}b&=\frac{\log_{c}b}{\log_{c}a}\quad(\text{change of base}).
\end{aligned}
\]
- Solving equations:
- If the same base appears on both sides, equate the exponents.
- If different bases appear, take logarithms of both sides (common log or natural log).
- For equations of the type \(ax=b^{x}\) use trial‑and‑error, graphical methods, or rewrite as \(x\log b=\log a\) when possible.
Example – Solve \(3^{2x-1}=27\)
Write \(27=3^{3}\). Then \(3^{2x-1}=3^{3}\) ⇒ \(2x-1=3\) ⇒ \(x=2\).
7. Calculus – Using Differentiation to Find Stationary Points (Syllabus 7.1 – 7.4)
7.1 What is a stationary point?
A stationary point of \(f(x)\) is a point where the gradient (first derivative) is zero: \(f'(x)=0\). It can be a:
- Local maximum,
- Local minimum, or
- Point of inflection (horizontal tangent).
7.2 General procedure
- Differentiate the function to obtain \(f'(x)\).
- Set \(f'(x)=0\) and solve for \(x\) – these are the critical points.
- Substitute each critical \(x\) into \(f(x)\) to get the corresponding \(y\)-coordinates.
- Classify each point:
- Second‑derivative test:
\(f''(x)>0\) ⇒ local minimum;
\(f''(x)<0\) ⇒ local maximum.
- If \(f''(x)=0\), examine the sign change of \(f'(x)\) around the point or use higher‑order derivatives.
7.3 Examples
Example 1 – Quadratic (revisited)
Find the stationary point of \(f(x)=2x^{2}-8x+3\).
- \(f'(x)=4x-8\).
- Set to zero: \(4x-8=0\Rightarrow x=2\).
- Value: \(f(2)=2(2)^{2}-8(2)+3=-5\). Point \((2,-5)\).
- Second derivative: \(f''(x)=4>0\) ⇒ local minimum.
Example 2 – Cubic
Determine all stationary points of \(g(x)=x^{3}-3x^{2}+2\).
- \(g'(x)=3x^{2}-6x=3x(x-2)\).
- Critical points: \(x=0\) and \(x=2\).
- Values: \(g(0)=2\) → \((0,2)\); \(g(2)=-2\) → \((2,-2)\).
- Second derivative: \(g''(x)=6x-6\).
- At \(x=0\): \(g''(0)=-6<0\) ⇒ local maximum.
- At \(x=2\): \(g''(2)=6>0\) ⇒ local minimum.
Example 3 – Quartic with an inflection point
Find and classify the stationary points of \(h(x)=x^{4}-4x^{3}\).
- \(h'(x)=4x^{3}-12x^{2}=4x^{2}(x-3)\).
- Critical points: \(x=0\) (double root) and \(x=3\).
- Values: \(h(0)=0\) → \((0,0)\); \(h(3)=3^{4}-4\cdot3^{3}=81-108=-27\) → \((3,-27)\).
- Second derivative: \(h''(x)=12x^{2}-24x=12x(x-2)\).
- At \(x=0\): \(h''(0)=0\) – inconclusive.
- Examine \(h'(x)\) around \(x=0\): sign changes from positive (for \(x<0\)) to positive (for \(0
- At \(x=3\): \(h''(3)=12\cdot3\cdot1=36>0\) ⇒ local minimum.
7.4 Quick checklist for exam questions
| Step | What to do |
| 1. Differentiate | Write \(f'(x)\) clearly; simplify if possible. |
| 2. Solve \(f'(x)=0\) | Factorise; use quadratic formula if needed. |
| 3. Find \(y\) | Substitute each critical \(x\) back into the original function. |
| 4. Classify | Compute \(f''(x)\). Apply the sign test; if \(f''=0\) check the sign of \(f'\) on either side or go to the third derivative. |
| 5. State answer | List points as \((x,\;y)\) and label “maximum”, “minimum” or “point of inflection”. |
Common pitfalls
- For a quadratic, the vertex found by completing the square and the stationary point found by differentiation are the same – make sure the \(x\)-coordinate matches.
- Never forget to check the domain of the original function before accepting a stationary point (e.g., a rational function may have a vertical asymptote at a critical \(x\)).
- If the second derivative is zero, always examine the sign of the first derivative or go to the next non‑zero derivative; otherwise you may mis‑classify an inflection point as a maximum or minimum.