Mathematics Advanced Study Guide

Functions

MA-F1: Working with Functions

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F1.1: Algebraic Techniques
  • Prior Knowledge & Factorisation:

    • Difference of two squares: (a+b)(a−b)=a2−b2(a + b)(a - b) = a^2 - b^2

    • Methodical steps for factorising algebraic expressions:

    1. Always search for a common factor first.

    2. For expressions with 22 terms, check for the difference of two squares.

    3. For expressions with 33 terms where a=1a = 1 (monic quadratic), apply the product and sum method.

    4. For expressions with 33 terms where a≠1a \neq 1 (non-monic quadratic), apply the product and sum method.

    5. For expressions with 44 terms, factorise by grouping in pairs.

  • Index Laws and Surds:

    • Operations include standard index laws and arithmetic with surds, simplifying surds, and rationalising the denominator.

    • Note: Binomial denominators are outside the scope of this course.

  • Solving Quadratic Equations:

    • Method 1: Factoring

    • Method 2: Completing the square

    • Method 3: Quadratic Formula:     x=−b±b2−4ac2ax = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}

  • Algebraic Fractions:

    • Always factorise the numerator of an algebraic fraction first before simplifying.

F1.2: Introduction to Functions
  • Core Definitions and Notations:

    • Use function notation f(x)f(x).

    • Understand domain (set of valid input values) and range (set of valid output values).

    • Express domain and range using interval notation, such as [4,∞)[4, \infty).

    • Identify independent variables (inputs) and dependent variables (outputs).

  • Types of Relations:

    • Relations can be categorized as one-to-one, one-to-many, many-to-one, and many-to-many.

    • Apply the vertical line test to identify whether a relation is a function (a line passing vertically through the graph must intersect it at most once).

    • Determine whether a function is one-to-one using horizontal line tests.

F1.3: Linear, Quadratic, and Cubic Functions
  • Linear Functions:

    • Direct variation is given by y=kxy = kx, where kk represents the constant of variation. Direct variation yields a straight-line graph.

    • Gradient-intercept equation of a straight line: y=mx+cy = mx + c, where mm is the gradient and cc is the yy--intercept.

    • Formula for the gradient of a straight line passing through (x1,y1)(x_1, y_1) and (x2,y2)(x_2, y_2):     m=y2−y1x2−x1=riserunm = \frac{y_2 - y_1}{x_2 - x_1} = \frac{\text{rise}}{\text{run}}

    • Point-gradient equation of a line passing through (x1,y1)(x_1, y_1) with gradient mm:     y−y1=m(x−x1)y - y_1 = m(x - x_1)

    • Parallel lines possess identical gradients (m1=m2m_1 = m_2).

    • Two non-vertical lines with gradients m1m_1 and m2m_2 are perpendicular if:     m1m2=−1m_1 m_2 = -1

  • Quadratic Functions:

    • Recognize key features of a quadratic curve, including its parabolic nature and turning point.

Concave Up ParabolaConcave Down Parabola
  • Concavity: Curves can open upwards (concave up) or downwards (concave down).

  • Axis of symmetry calculation:

    • Take the average of the zeroes, or

    • Use the formula x=−b2ax = -\frac{b}{2a}

  • Intercepts:

    • yy--intercept: set x=0x = 0, yielding y=cy = c

    • xx--intercepts (zeroes): set y=0y = 0, factorise, and solve (verify existence using the discriminant).

  • Factored form y=a(x−α)(x−β)y = a(x - \alpha)(x - \beta):

    • The xx--intercepts (zeroes) are x=αx = \alpha and x=βx = \beta

    • The axis of symmetry is x=12(α+β)x = \frac{1}{2}(\alpha + \beta)

  • Vertex form y=a(x−h)2+ky = a(x - h)^2 + k (derived via completing the square):

    • The axis of symmetry is x=hx = h

    • The vertex is (h,k)(h, k)

  • Discriminant analysis:     Δ=b2−4ac\Delta = b^2 - 4ac

    • If Δ>0\Delta > 0, there are two real zeroes.

    • If Δ=0\Delta = 0, there is exactly one real zero.

    • If Δ<0\Delta < 0, there are no real zeroes.

    • Break-Even Analysis:

  • The break-even point occurs when total costs equal total income.

  • Relationship: profit=revenue−costs\text{profit} = \text{revenue} - \text{costs}

  • Income equation: I=mxI = mx

  • Cost equation: C=mx+bC = mx + b

    • Cubic Functions:

  • Basic form: f(x)=kx3f(x) = kx^3

  • Shifted vertex form: f(x)=k(x−b)3+cf(x) = k(x - b)^3 + c

  • Factored form with three distinct real roots: f(x)=k(x−a)(x−b)(x−c)f(x) = k(x - a)(x - b)(x - c)

F1.4: Further Functions and Relations
  • Standard functions and geometric relations to recognize and sketch:

    • Square root function:     y=xy = \sqrt{x}

Square Root Function
  • Quartic polynomial:     y=x4y = x^4

Quartic Function
  • Circle centered at origin with radius rr:     x2+y2=r2x^2 + y^2 = r^2

Circle Centered at Origin
  • Circle centered at (a,b)(a, b) with radius rr:     (x−a)2+(y−b)2=r2(x - a)^2 + (y - b)^2 = r^2

Circle Centered at (a,b)
  • Transform expanded circle equations of the form x2+y2+ax+by+c=0x^2 + y^2 + ax + by + c = 0 into standard form (x−a)2+(y−b)2=r2(x - a)^2 + (y - b)^2 = r^2 by completing the square for both xx and yy terms.

  • Upper semi-circle centered at origin:     y=r2−x2y = \sqrt{r^2 - x^2}

Upper Semi-circle
  • Lower semi-circle centered at origin:     y=−r2−x2y = -\sqrt{r^2 - x^2}

Lower Semi-circle
  • Exponential functions:

Exponential Function
  • Hyperbolas:

Hyperbola
  • Polynomials in general: analyze key components including coefficients and degree.

  • Absolute value function:     y=∣x∣y = |x|

Absolute Value Function

Graphing Techniques

MA-F2: Graphing Techniques

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Transformations of Functions
  • Translations:

    • Vertical shift: y=f(x)+cy = f(x) + c translates f(x)f(x) by cc units in the positive yy--direction.

    • Horizontal shift: y=f(x−b)y = f(x - b) translates f(x)f(x) by bb units in the positive xx--direction. Conversely, y=f(x+b)y = f(x + b) represents a translation of bb units in the negative xx--direction.

  • Stretches (Dilations):

    • Vertical stretch: y=kf(x)y = k f(x) dilates the graph by a scale factor of kk in the yy--direction, leaving the xx--axis invariant.

    • Horizontal stretch: y=f(xa)y = f\left(\frac{x}{a}\right) dilates the graph by a scale factor of aa in the xx--direction, leaving the yy--axis invariant. Note that y=f(ax)y = f(ax) represents a horizontal stretch of scale factor 1a\frac{1}{a} in the xx--direction.

  • Reflections:

    • Reflection in the yy--axis: y=f(−x)y = f(-x)

    • Reflection in the xx--axis: y=−f(x)y = -f(x)

    • Rotation of 180∘180^\circ about the origin: y=−f(−x)y = -f(-x)

  • Even and Odd Symmetry:

    • A function f(x)f(x) is even if f(−x)=f(x)f(-x) = f(x), exhibiting line symmetry about the yy--axis.

    • A function f(x)f(x) is odd if f(−x)=−f(x)f(-x) = -f(x), exhibiting rotational symmetry of 180∘180^\circ about the origin.

  • Universal Transformation Sequence:

    • To transform y=f(x)y = f(x) to the comprehensive form y=kf(1a(x−b))+cy = k f\left(\frac{1}{a}(x - b)\right) + c, apply the transformations in the following order:

    1. Stretch horizontally by a factor of aa

    2. Shift right by bb units

    3. Stretch vertically by a factor of kk

    4. Shift upwards by cc units

Asymptotes and Inequalities
  • Testing for Asymptotes:

    • Vertical Asymptotes: Locate values of x=ax = a where the denominator equals zero while the numerator is non-zero.

    • Horizontal Asymptotes: Divide the numerator and denominator by the highest power of xx present in the denominator. Apply the limit property where 1x→0\frac{1}{x} \rightarrow 0 as x→±∞x \rightarrow \pm\infty. If f(x)f(x) approaches a definite finite value bb, then y=by = b is a horizontal asymptote.

  • Solving Inequalities:

    • Linear Inequalities: Solve algebraically. Remember to reverse the inequality direction whenever multiplying or dividing both sides by a negative quantity.

    • Quadratic Inequalities:

    1. Rearrange all terms to the left-hand side (LHS) so the right-hand side equals zero.

    2. Sketch the curve y=LHSy = \text{LHS}, clearly identifying the xx--intercepts.

    3. Read the solution set directly from the graph based on whether LHS is required to be positive (>0> 0) or negative (<0< 0).

    • Absolute Value Equations and Inequalities: Resolve algebraically or graphically by sketching the intersected boundary lines and identifying regions of satisfaction.

Trigonometric Functions

MA-T1: Trigonometric and Measure of Angles

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T1.1: Trigonometry
  • Right-Angled Triangle Ratios:   sin⁡(A)=opphyp,cos⁡(A)=adjhyp,tan⁡(A)=oppadj\sin(A) = \frac{\text{opp}}{\text{hyp}}, \quad \cos(A) = \frac{\text{adj}}{\text{hyp}}, \quad \tan(A) = \frac{\text{opp}}{\text{adj}}

  • Sine Rule:   asin⁡(A)=bsin⁡(B)=csin⁡(C)\frac{a}{\sin(A)} = \frac{b}{\sin(B)} = \frac{c}{\sin(C)}

    • Applies to any triangle. Take care when finding an angle to check for the ambiguous case when given two sides and a non-included angle.

  • Cosine Rule:

    • Side length form:     c2=a2+b2−2abcos⁡(C)c^2 = a^2 + b^2 - 2ab\cos(C)

    • Angle form:     cos⁡(C)=a2+b2−c22ab\cos(C) = \frac{a^2 + b^2 - c^2}{2ab}

  • Area of a Non-Right-Angled Triangle:   A=12absin⁡(C)A = \frac{1}{2}ab\sin(C)

  • Applications in 2D and 3D:

    • Angles of elevation (measured upwards from horizontal) and depression (measured downwards from horizontal).

    • True bearings (3-digit bearings measured clockwise from true North, e.g., 045∘045^\circ) and compass bearings (e.g., N45∘EN45^\circ E).

T1.2: Radians
  • Unit Circle and Radian Measure:

    • Convert between degrees and radians using π rad=180∘\pi\text{ rad} = 180^\circ.

    • Recall exact trigonometric values for special angles in both degrees (0∘,30∘,45∘,60∘,90∘0^\circ, 30^\circ, 45^\circ, 60^\circ, 90^\circ) and radians (0,π6,π4,π3,π20, \frac{\pi}{6}, \frac{\pi}{4}, \frac{\pi}{3}, \frac{\pi}{2}).

    • Evaluate trigonometric ratios for angles of any magnitude across all four quadrants.

    • Recognize and sketch parent graphs for y=sin⁡(x)y = \sin(x), y=cos⁡(x)y = \cos(x), and y=tan⁡(x)y = \tan(x).

  • Arc Length and Sector Area:

    • Arc length formula (where θ\theta is in radians):     l=rθl = r\theta

    • Area of a circular sector formula (where θ\theta is in radians):     A=12r2θA = \frac{1}{2}r^2\theta

MA-T2: Trigonometric Functions and Identities

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Reciprocal Ratios and Pythagorean Identities
  • Reciprocal Trigonometric Functions:   sec⁡(A)=1cos⁡(A)\sec(A) = \frac{1}{\cos(A)}   csc⁡(A)=1sin⁡(A)\csc(A) = \frac{1}{\sin(A)}   cot⁡(A)=cos⁡(A)sin⁡(A)=1tan⁡(A)\cot(A) = \frac{\cos(A)}{\sin(A)} = \frac{1}{\tan(A)}

    • Be prepared to sketch the graphs of these reciprocal functions.

  • Fundamental Quotient Identity:   tan⁡(x)=sin⁡(x)cos⁡(x)\tan(x) = \frac{\sin(x)}{\cos(x)}

  • Pythagorean Identities:   cos⁡2(x)+sin⁡2(x)=1\cos^2(x) + \sin^2(x) = 1   1+tan⁡2(x)=sec⁡2(x)1 + \tan^2(x) = \sec^2(x)   1+cot⁡2(x)=csc⁡2(x)1 + \cot^2(x) = \csc^2(x)

  • Simplifying and Proving Identities:

    • Prove trigonometric identities using fundamental and Pythagorean identities.

    • Evaluate expressions using angles of any magnitude and complementary angle relations (e.g., sin⁡(π2−x)=cos⁡(x)\sin\left(\frac{\pi}{2} - x\right) = \cos(x)).

    • Simplify complex expressions and solve trigonometric equations, including those reducible to quadratic form.

MA-T3: Trigonometric Functions and Graphs

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Transformations of Sine, Cosine, and Tangent
  • Amplitude:

    • For y=kf(x)y = k f(x), representing a vertical stretch by factor kk.

    • The parent functions y=sin⁡(x)y = \sin(x) and y=cos⁡(x)y = \cos(x) both have an amplitude of 11.

  • Period:

    • For y=f(nx)y = f(nx), representing a horizontal dilation by a factor of 1n\frac{1}{n}.

    • Parent functions y=sin⁡(x)y = \sin(x) and y=cos⁡(x)y = \cos(x) have a period of 2π2\pi (one full revolution).

    • Parent function y=tan⁡(x)y = \tan(x) has a period of π\pi (half a revolution).

    • Transformed period for sine and cosine:     Period=2πn\text{Period} = \frac{2\pi}{n}

    • Transformed period for tangent:     Period=πn\text{Period} = \frac{\pi}{n}

  • Phase Shift:

    • Expressed as y=f(x+b)y = f(x + b).

    • The phase angle corresponds to the argument value when x=0x = 0.

    • Functions y=sin⁡(x+b)y = \sin(x + b), y=cos⁡(x+b)y = \cos(x + b), and y=tan⁡(x+b)y = \tan(x + b) all have a phase of bb, which shifts the original graph left by bb units.

  • Vertical Shift and Mean Value:

    • Expressed as y=f(x)+cy = f(x) + c.

    • The mean value (centreline) of a wave is the average of its maximum and minimum values.

    • y=sin⁡(x)+cy = \sin(x) + c and y=cos⁡(x)+cy = \cos(x) + c both possess a mean value of cc, representing a vertical translation upwards by cc units.

Calculus

MA-C1: Introduction to Differentiation

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C1.1: Gradients of Tangents
  • Distinguish clearly between continuous and discontinuous functions.

  • The angle of inclination θ\theta of a line or tangent with the positive xx--axis is directly linked to its gradient mm by:   tan⁡(θ)=m\tan(\theta) = m

C1.2: Difference Quotients
  • Interpret and calculate the difference quotient as the average rate of change of f(x)f(x) over an interval:   Average Rate of Change=f(x+h)−f(x)h\text{Average Rate of Change} = \frac{f(x + h) - f(x)}{h}

  • Interpret gradient functions across various practical contexts (e.g., slope on distance-time graphs equals velocity; slope on velocity-time graphs equals acceleration).

C1.3: Derivative Function from First Principles
  • Define the derivative function f′(x)f'(x) rigorously using first principles:   f′(x)=lim⁡h→0f(x+h)−f(x)hf'(x) = \lim_{h \rightarrow 0} \frac{f(x + h) - f(x)}{h}

  • Interpret the derivative evaluated at a specific point as the exact instantaneous rate of change of the function at that point.

C1.4: Differentiation Rules & Kinematics
  • Power Rule:   ddx(xn)=nxn−1\frac{d}{dx}\left(x^n\right) = n x^{n-1}

  • Product Rule:   For y=uv,dydx=udvdx+vdudx\text{For } y = uv, \quad \frac{dy}{dx} = u\frac{dv}{dx} + v\frac{du}{dx}

  • Quotient Rule:   For y=uv,dydx=vdudx−udvdxv2\text{For } y = \frac{u}{v}, \quad \frac{dy}{dx} = \frac{v\frac{du}{dx} - u\frac{dv}{dx}}{v^2}

  • Chain Rule:   For y=g(u) where u=f(x),dydx=dydu×dudx\text{For } y = g(u) \text{ where } u = f(x), \quad \frac{dy}{dx} = \frac{dy}{du} \times \frac{du}{dx}

  • Composite Power Rule:   For y=[f(x)]n,dydx=nf′(x)[f(x)]n−1\text{For } y = [f(x)]^n, \quad \frac{dy}{dx} = n f'(x) [f(x)]^{n-1}

  • Tangents, Normals, and Kinematics:

    • Construct linear equations for tangents and normal lines (mnormal=−1mtangentm_{\text{normal}} = -\frac{1}{m_{\text{tangent}}}) at specified points on a curve.

    • Displacement, Velocity, and Acceleration:

    • Velocity v(t)v(t) is the rate of change of displacement s(t)s(t) with respect to time tt: v=dsdtv = \frac{ds}{dt}.

    • Acceleration a(t)a(t) is the rate of change of velocity v(t)v(t) with respect to time tt: a=dvdt=d2sdt2a = \frac{dv}{dt} = \frac{d^2s}{dt^2}.

MA-C2: Differential Calculus

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Derivatives of Trigonometric, Exponential, and Logarithmic Functions
  • Trigonometric Functions:   For y=sin⁡(f(x)),dydx=f′(x)cos⁡(f(x))\text{For } y = \sin(f(x)), \quad \frac{dy}{dx} = f'(x) \cos(f(x))   For y=cos⁡(f(x)),dydx=−f′(x)sin⁡(f(x))\text{For } y = \cos(f(x)), \quad \frac{dy}{dx} = -f'(x) \sin(f(x))   For y=tan⁡(f(x)),dydx=f′(x)sec⁡2(f(x))\text{For } y = \tan(f(x)), \quad \frac{dy}{dx} = f'(x) \sec^2(f(x))

  • General Exponential Functions:   ddx(ax)=(ln⁡a)ax  ⟹  For y=af(x),dydx=(ln⁡a)f′(x)af(x)\frac{d}{dx}\left(a^x\right) = (\ln a) a^x \implies \text{For } y = a^{f(x)}, \quad \frac{dy}{dx} = (\ln a) f'(x) a^{f(x)}

  • Natural Logarithmic Functions:   ddx(ln⁡x)=1x  ⟹  For y=ln⁡(f(x)),dydx=f′(x)f(x)\frac{d}{dx}(\ln x) = \frac{1}{x} \implies \text{For } y = \ln(f(x)), \quad \frac{dy}{dx} = \frac{f'(x)}{f(x)}

  • Base-a Logarithmic Functions:   ddx(log⁡ax)=1xln⁡a  ⟹  For y=log⁡a(f(x)),dydx=f′(x)(ln⁡a)f(x)\frac{d}{dx}\left(\log_a x\right) = \frac{1}{x \ln a} \implies \text{For } y = \log_a(f(x)), \quad \frac{dy}{dx} = \frac{f'(x)}{(\ln a) f(x)}

  • Base-e Exponential Functions:   For y=ef(x),dydx=f′(x)ef(x)\text{For } y = e^{f(x)}, \quad \frac{dy}{dx} = f'(x) e^{f(x)}

  • Systematically apply product, quotient, and chain rules to combinations of these functions.

MA-C3: Applications of Differentiation

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Curve-Sketching and Optimisation
  • Utilize first derivatives f′(x)f'(x) to identify stationary points and intervals of increase/decrease.

  • Utilize second derivatives f′′(x)f''(x) to measure concavity and locate points of inflection.

Curve-sketching Menu Graphic
  • Systematic Curve-Sketching Menu:

    • 0. Preparation: Combine algebraic fractions into single terms; fully factorise expressions.

    • 1. Domain: Identify valid input values before sketching.

    • 2. Symmetry: Check if the function is even, odd, or neither.

    • 3A. Intercepts: Find the yy--intercept (set x=0x=0) and all xx--intercepts/zeroes (set y=0y=0).

    • 3B. Sign: Construct a table of signs to identify positive and negative regions.

    • 4A. Vertical Asymptotes: Inspect points of discontinuity for vertical asymptotes.

    • 4B. Horizontal Asymptotes: Evaluate end-behaviour as x→∞x \rightarrow \infty and x→−∞x \rightarrow -\infty.

    • 5A. First Derivative Zeroes: Find roots and discontinuities of f′(x)f'(x).

    • 5B. Slope Analysis: Test surrounding f′(x)f'(x) values to classify stationary points (local minimum, local maximum, stationary point of inflection).

    • 6A. Second Derivative Zeroes: Find roots and discontinuities of f′′(x)f''(x).

    • 6B. Concavity Analysis: Test surrounding f′′(x)f''(x) values to verify points of inflection and concavity changes.

  • Optimisation Problems: Formulate expressions for physical quantities, differentiate, solve for stationary values (f′(x)=0f'(x) = 0), and verify global maximum or minimum behavior using second derivative tests or sign tables.

MA-C4: Integral Calculus

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Integration Formulas and Area Calculations
  • Indefinite Integrals & Reverse Chain Rules:

    • Power rule:     ∫xn dx=1n+1xn+1+c\int x^n \, dx = \frac{1}{n + 1} x^{n+1} + c

    • Reverse chain rule for powers:     ∫f′(x)[f(x)]n dx=1n+1[f(x)]n+1+c\int f'(x) [f(x)]^n \, dx = \frac{1}{n + 1} [f(x)]^{n+1} + c

    • Trigonometric integrals:     ∫f′(x)sin⁡(f(x)) dx=−cos⁡(f(x))+c\int f'(x) \sin(f(x)) \, dx = -\cos(f(x)) + c     ∫f′(x)cos⁡(f(x)) dx=sin⁡(f(x))+c\int f'(x) \cos(f(x)) \, dx = \sin(f(x)) + c     ∫f′(x)sec⁡2(f(x)) dx=tan⁡(f(x))+c\int f'(x) \sec^2(f(x)) \, dx = \tan(f(x)) + c

    • Exponential integrals:     ∫ex dx=ex+c\int e^x \, dx = e^x + c     ∫eax+b dx=1aeax+b+c\int e^{ax+b} \, dx = \frac{1}{a} e^{ax+b} + c     ∫f′(x)ef(x) dx=ef(x)+c\int f'(x) e^{f(x)} \, dx = e^{f(x)} + c

    • Logarithmic integrals:     ∫1x dx=ln⁡∣x∣+c\int \frac{1}{x} \, dx = \ln|x| + c     ∫f′(x)f(x) dx=ln⁡∣f(x)∣+c\int \frac{f'(x)}{f(x)} \, dx = \ln|f(x)| + c

    • General exponential integrals:     ∫ax dx=axln⁡a+c\int a^x \, dx = \frac{a^x}{\ln a} + c     ∫f′(x)af(x) dx=af(x)ln⁡a+c\int f'(x) a^{f(x)} \, dx = \frac{a^{f(x)}}{\ln a} + c

  • Areas and Numerical Approximations:

    • Determine exact areas under curves bounded by the xx--axis using definite integrals.

    • Apply the Trapezoidal Rule to approximate area under curves using equal subintervals.

    • Calculate exact enclosed areas between two intersecting curves y=f(x)y = f(x) and y=g(x)y = g(x).

Exponential and Logarithmic Functions

MA-E1: Logarithms and Exponentials

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Definition, Laws, and Graphs
  • Logarithm Definition as Indices:   y=ax  ⟺  x=log⁡ayy = a^x \iff x = \log_a y

  • Fundamental Inverse Properties:   log⁡a(ax)=xandalog⁡ax=x\log_a\left(a^x\right) = x \quad \text{and} \quad a^{\log_a x} = x

  • Logarithmic Laws:   log⁡ax+log⁡ay=log⁡a(xy)\log_a x + \log_a y = \log_a(xy)   log⁡ax−log⁡ay=log⁡a(xy)\log_a x - \log_a y = \log_a\left(\frac{x}{y}\right)   log⁡a(xn)=nlog⁡ax\log_a\left(x^n\right) = n \log_a x   log⁡a1=0\log_a 1 = 0   log⁡aa=1\log_a a = 1   log⁡a(1x)=−log⁡ax\log_a\left(\frac{1}{x}\right) = -\log_a x   Change of base law: log⁡ax=log⁡bxlog⁡ba\text{Change of base law: } \log_a x = \frac{\log_b x}{\log_b a}

  • Natural Logarithms and Exponential Derivatives:   ddx(ex)=ex  ⟹  For y=ef(x),dydx=f′(x)ef(x)\frac{d}{dx}\left(e^x\right) = e^x \implies \text{For } y = e^{f(x)}, \quad \frac{dy}{dx} = f'(x) e^{f(x)}

  • Graphing Exponential and Logarithmic Transformations:

    • Exponential parent forms: y=kaxy = k a^x, y=ka−xy = k a^{-x}, along with shifts y=kax+cy = k a^x + c and y=kax+by = k a^{x+b}.

    • Logarithmic parent form: y=log⁡axy = \log_a x, along with shifts y=klog⁡ax+cy = k \log_a x + c.

    • Solve exponential equations by taking logarithms of both sides to isolate index values.

Financial Mathematics

MA-M1: Modelling Financial Situations

MA-M1 Syllabus Banner
M1.1 & M1.2: Compound Interest, Annuities, and Arithmetic Sequences
  • Modelling Investments and Loans:

    • Solve compound interest problems.

    • Analyze present value and future value annuities using tables of interest factors.

  • Arithmetic Sequences and Series:

    • Distinction: A sequence is an ordered list of numbers; a series is the sum of terms in a sequence.

    • Recursive definition: Tn=Tn−1+dT_n = T_{n-1} + d, with initial condition T1=aT_1 = a.

    • Formula for the nnth term of an arithmetic sequence:     Tn=a+(n−1)dT_n = a + (n - 1)d     where aa is the first term and dd is the common difference.

    • Formulas for the sum of the first nn terms of an arithmetic sequence:     Sn=n2(a+l)(where l is the last term)S_n = \frac{n}{2}(a + l) \quad \text{(where } l \text{ is the last term)}     Sn=n2[2a+(n−1)d]S_n = \frac{n}{2}[2a + (n - 1)d]

M1.3 & M1.4: Geometric Sequences and Financial Applications
  • Geometric Sequences and Series:

    • Recursive definition: Tn=rTn−1T_n = r T_{n-1}, with initial condition T1=aT_1 = a.

    • Formula for the nnth term of a geometric sequence:     Tn=arn−1T_n = a r^{n-1}     where aa is the first term and rr is the common ratio.

    • Formulas for the sum of the first nn terms of a geometric sequence:     Sn=a(1−rn)1−r=a(rn−1)r−1S_n = \frac{a(1 - r^n)}{1 - r} = \frac{a(r^n - 1)}{r - 1}

    • Limiting sum of an infinite geometric series (valid only when ∣r∣<1|r| < 1):     S=a1−rS = \frac{a}{1 - r}

  • Financial Applications:

    • Model growth and decay phenomena using geometric sequences.

    • Calculate effective annual rate of interest to evaluate competing investment or loan options compounded daily, monthly, quarterly, or six-monthly.

    • Analyze reducing balance loans as compound interest accounts with periodic repayments, calculating balance outstanding step-by-step.

    • Calculate future and present values of annuities by generating geometric series expressions for compounded values and applying sum formulas.

Statistical Analysis

MA-S1: Probability and Discrete Probability Distributions

MA-S1 Syllabus Banner
S1.1: Probability and Set Notation
  • Probability Foundations:

    • Evaluate theoretical probability and relative frequency estimates.

    • Analyze multi-stage chance experiments using arrays and tree diagrams.

    • Set Notation:

    • Complement of event AA: Aˉ\bar{A} (or A′A' or AcA^c)

    • Intersection (both AA and BB): A∩BA \cap B

    • Union (either AA or BB or both): A∪BA \cup B

    • Mutually exclusive events cannot occur simultaneously (A∩B=∅A \cap B = \emptyset).

    • Basic Probability Rules:     P(Aˉ)=1−P(A)P(\bar{A}) = 1 - P(A)     P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)

  • Conditional Probability & Independence:

    • Formula for conditional probability of AA given BB:     P(A∣B)=P(A∩B)P(B)P(A|B) = \frac{P(A \cap B)}{P(B)}

    • Event AA is independent of event BB if P(A∣B)=P(A)P(A|B) = P(A).

    • Multiplication law for independent events:     P(A∩B)=P(A)P(B)P(A \cap B) = P(A) P(B)

S1.2: Discrete Probability Distributions
  • Categorize random variables as discrete (countable) or continuous (measurable).

  • For any discrete random variable XX, the sum of all individual probabilities must equal 11:   ∑P(X=x)=1\sum P(X = x) = 1

  • Measures of Centre and Spread:

    • Mean or Expected Value:     E(X)=μ\text{E}(X) = \mu

    • Variance:     Var(X)=E[(X−μ)2]=E(X2)−μ2\text{Var}(X) = \text{E}\left[(X - \mu)^2\right] = \text{E}\left(X^2\right) - \mu^2

    • Relation between variance and standard deviation:     Var(X)=σ2\text{Var}(X) = \sigma^2

    • A sample mean xˉ\bar{x} estimates the population mean μ\mu, and sample standard deviation ss estimates population standard deviation σ\sigma (estimates improve as sample size increases).

MA-S2: Descriptive Statistics and Bivariate Data Analysis

S2.1: Summary Statistics and Outliers
  • Classify, organize, and interpret data using frequency tables, cumulative distributions, Pareto charts, and two-way tables.

  • Summarize five-number datasets using parallel box-plots: Lower Extreme, Lower Quartile (Q1Q_1), Median (Q2Q_2), Upper Quartile (Q3Q_3), and Upper Extreme.

  • Central Tendency: Mean (xˉ\bar{x}) and Median (x~\tilde{x}).

  • Spread: Range, Quantiles (deciles, quartiles, percentiles), and Interquartile Range:   IQR=Q3−Q1\text{IQR} = Q_3 - Q_1

  • Outlier Rule:

    • A value is classified as an outlier if it satisfies either:     Score<Q1−1.5×IQRorScore>Q3+1.5×IQR\text{Score} < Q_1 - 1.5 \times \text{IQR} \quad \text{or} \quad \text{Score} > Q_3 + 1.5 \times \text{IQR}

S2.2: Bivariate Data Analysis
  • Interpret bivariate scatterplots in terms of form (linear/non-linear), direction (positive/negative), and strength (strong/moderate/weak).

  • Distinguish between dependent and independent variables.

  • Compute and interpret Pearson's correlation coefficient (rr).

  • Fit a least-squares regression line to make numerical predictions.

  • Interpolation vs Extrapolation: Interpolation predicts within the dataset range; extrapolation predicts outside the range. Extrapolation far beyond the dataset boundaries can produce highly inaccurate predictions.

MA-S3: Continuous Random Variables & Normal Distribution

S3.1: Continuous Random Variables
  • Properties of a Probability Density Function (PDF) f(x)f(x): 1. f(x)≥0f(x) \ge 0 for all xx

    1. ∫−∞∞f(x) dx=1\int_{-\infty}^{\infty} f(x) \, dx = 1

  • Probability defined as area under the curve:   P(X≤x)=∫axf(x) dxP(X \le x) = \int_{a}^{x} f(x) \, dx

  • Identify mode (peak of PDF) and analyze Cumulative Distribution Functions (CDF) to solve for median and percentiles.

S3.2: The Normal Distribution
  • Standard normal zz--score formula:   z=x−μσz = \frac{x - \mu}{\sigma}   where μ\mu is the population mean and σ\sigma is the population standard deviation.

  • Empirical Rule (68%−95%−99.7%68\%-95\%-99.7\% Rule):

    • Approximately 68%68\% of scores fall between z=−1z = -1 and z=1z = 1 (μ±1σ\mu \pm 1\sigma).

    • Approximately 95%95\% of scores fall between z=−2z = -2 and z=2z = 2 (μ±2σ\mu \pm 2\sigma).

    • Approximately 99.7%99.7\% of scores fall between z=−3z = -3 and z=3z = 3 (μ±3σ\mu \pm 3\sigma).

  • Use standard normal probability tables to calculate probabilities for any specified zz--score.