Cambridge IGCSE Mathematics (0580) Extended Syllabus Notes (2025)

Number

  • Types of Numbers:

    • Natural Numbers: Positive counting whole numbers starting from 11 (or 00 depending on convention).
    • Integers: Whole positive numbers, negative numbers, and zero.
    • Prime Numbers: Numbers greater than 11 that have exactly two distinct positive factors: 11 and themselves.
    • Squares and Cubes: Numbers resulting from multiplying an integer by itself twice (square) or three times (cube).
    • Reciprocals: The multiplicative inverse of a given number xx, expressed as 1x\frac{1}{x}.
    • Rational Numbers: Any number that can be expressed as a quotient or fraction ab\frac{a}{b} of two integers, where aa is the numerator and bb is a non-zero denominator (b≠0b \neq 0).
    • Irrational Numbers: Real numbers that cannot be written as a simple fraction ab\frac{a}{b}; their decimal representations are non-terminating and non-repeating.
  • Indices and Surds:

    • Indices: Rules governing powers, exponents, fractional indices, and negative indices.
    • Surds: Operations involving irrational roots, specifically simplifying surds and rationalising the denominator (Extended syllabus requirement).
    • Recall: Memorization and direct recall of specific square numbers, cube numbers, and their corresponding roots.
  • Applied Number Concepts:

    • Standard Form: Representing numbers in scientific notation a×10na \times 10^n, where 1≤a<101 \le a < 10 and nn is an integer.
    • Fractions, Decimals, and Percentages: Converting between, ordering, and calculating operations across all three forms.
    • Money: Financial mathematics involving transactions, interest rates, profit, loss, and currency exchange.
    • Rates: Quantifying change over standard intervals, such as speed or unit costs.
    • Growth and Decay: Exponential increases or decreases over designated time intervals.
    • Estimation: Rounding figures to specified decimal places or significant figures to approximate mathematical values.
    • Time: Calculations involving timestamps, intervals, time zones, 12-hour/24-hour clocks, and timetables.

Algebra and Graphs

  • Algebraic Manipulation:

    • Expanding: Multiplying out single, double, or complex brackets.
    • Factorising: Reversing expansion to express algebraic expressions as products of their factors.
    • Simplifying: Combining like terms and reducing algebraic fractions to their simplest terms.
    • Solving Equations: Computing exact solutions for linear equations as well as simultaneous equations.
  • Functions (Extended):

    • Notation: Utilizing standard functional notation such as f(x)f(x), g(x)g(x), or f:x↦...f: x \mapsto ...
    • Domain and Range: Defining the domain (set of all valid input values for xx) and range (set of all possible output values produced by the function).
    • Composite Functions: Combining two or more functions to form a single function, written as f(g(x))f(g(x))
    • Inverse Functions: Determining the inverse function f−1(x)f^{-1}(x) to reverse the operation of f(x)f(x).
  • Graphs and Curve Sketching:

    • Linear Graphs: Plotting and analyzing straight-line graphs.
    • Quadratic Functions: Plotting and analyzing parabolic curves.
    • Reciprocal Functions: Plotting hyperbolic curves of reciprocal forms.
    • Curve Sketching: Identifying key features such as roots, intercepts, and turning points to draw qualitative sketches.
    • Fractional-Power Functions (Extended): New syllabus additions involving functions with fractional powers, such as x(12)x^{(\frac{1}{2})} and x(−12)x^{(-\frac{1}{2})}.

Coordinate Geometry

  • Cartesian Coordinates and Lines:

    • Cartesian Coordinates: Locating points in two-dimensional space defined by (x,y)(x, y) coordinates.
    • Straight-Line Graphs: Constructing linear equations and graphing them on coordinate axes.
    • Gradients: Determining the steepness of a line using the formula m=y2−y1x2−x1m = \frac{y_2 - y_1}{x_2 - x_1}.
    • Intercepts: Finding where a graph crosses the xx-axis (xx-intercept) and yy-axis (yy-intercept) using standard equation forms such as y=mx+cy = mx + c.
  • Perpendicular Lines (Extended):

    • Perpendicular Gradient Relationship: Applying the rule that two perpendicular lines with gradients m1m_1 and m2m_2 satisfy m1×m2=−1m_1 \times m_2 = -1
    • Equations of Perpendicular Lines: Finding the exact linear equation of a line that runs perpendicular to a given line through a specific point.

Geometry

  • Geometric Shapes and Vocabulary:

    • Triangles: Identifying properties of equilateral, isosceles, scalene, and right-angled triangles.
    • Quadrilaterals: Identifying properties of squares, rectangles, parallelograms, rhombuses, trapeziums, and kites.
    • Polygons: Calculating interior and exterior angles of regular and irregular polygons.
    • Circles: Understanding terminology such as radius, diameter, circumference, tangent, chord, secant, arc, sector, and segment.
  • Circle Theorems and Constructions (Extended):

    • Circle Theorems: Proving and calculating angles using circle rules:
    • The angle subtended at the centre is twice the angle subtended at the circumference.
    • Angles in the same segment are equal.
    • The angle in a semicircle is a right angle (90∘90^\circ).
    • Opposite angles in a cyclic quadrilateral sum to 180∘180^\circ.
    • The angle between a tangent and a chord equals the angle subtended in the alternate segment.
    • A tangent is perpendicular to the radius at the point of contact (90∘90^\circ).
    • Constructions: Constructing net layouts for 3D solids and precise geometric triangle constructions using geometric tools.

Mensuration

  • Perimeters and Areas:

    • 2D Shapes: Formulas and techniques for calculating perimeters and areas of plane figures.
    • Circle Arcs and Sectors: Calculating arc length and sector area based on the central angle fraction of a full circle.
  • Surface Areas and Volumes:

    • Standard Solids: Determining surface area and volume for basic 3D solids.
    • Specific 3D Geometry: Applying exact volume and surface area formulas for spheres, cones, and pyramids.
  • Compound Shapes and Solids:

    • Dividing multi-part two-dimensional shapes into simpler standard shapes to solve for total area or perimeter.
    • Combining or subtracting volume and surface area expressions for multi-part three-dimensional solids.

Trigonometry

  • Right-Angled Triangle Trigonometry:

    • Pythagoras' Theorem: Solving side lengths using a2+b2=c2a^2 + b^2 = c^2
    • Trigonometric Ratios: Using basic ratios defined for right-angled triangles:
    • Sine: sin⁡(θ)=OppositeHypotenuse\sin(\theta) = \frac{\text{Opposite}}{\text{Hypotenuse}}
    • Cosine: cos⁡(θ)=AdjacentHypotenuse\cos(\theta) = \frac{\text{Adjacent}}{\text{Hypotenuse}}
    • Tangent: tan⁡(θ)=OppositeAdjacent\tan(\theta) = \frac{\text{Opposite}}{\text{Adjacent}}
  • Non-Right Triangles and 3D Trigonometry (Extended):

    • Sine Rule: Applying asin⁡(A)=bsin⁡(B)=csin⁡(C)\frac{a}{\sin(A)} = \frac{b}{\sin(B)} = \frac{c}{\sin(C)} to find unknown sides or angles.
    • Cosine Rule: Applying a2=b2+c2−2bccos⁡(A)a^2 = b^2 + c^2 - 2bc\cos(A) to find unknown sides or angles.
    • Area of Non-Right Triangles: Computing area via Area=12absin⁡(C)\text{Area} = \frac{1}{2}ab\sin(C)
    • 3D Trigonometry: Applying right-angled and non-right-angled trigonometric methods to solve problems in three-dimensional space.
  • Exact Trigonometric Values (Extended):

    • Recalling exact trigonometric ratios for key non-calculator angles without a calculator:
    • 0∘0^\circ
    • 30∘30^\circ
    • 45∘45^\circ
    • 60∘60^\circ
    • 90∘90^\circ

Transformations and Vectors

  • Transformations:

    • Reflection: Flipping a shape across a specified line of reflection.
    • Rotation: Rotating a shape around a fixed centre point, specifically including 90∘90^\circ rotations.
    • Enlargement: Scaling a shape relative to a centre of enlargement using positive and fractional scale factors.
    • Translation: Moving a shape positionally across a plane using translation vectors.
  • Vector Syllabus Requirement:

    • Vector operations and vector arithmetic are restricted strictly to the Core curriculum.
    • The Extended syllabus no longer tests vector arithmetic.

Probability

  • Probability Scale and Events:

    • Scale ranging from 00 (impossible) to 11 (certain).
    • Computing probabilities for simple events and combined events.
  • Probability Representations:

    • Outcome Tables: Representing combined sample spaces in tabular format.
    • Venn Diagrams: Organizing set-based outcomes and probabilities.
    • Tree Diagrams: Tracking sequential independent or dependent events.
  • Frequency Measures:

    • Expected Frequency: Calculating the expected occurrence count of an event over multiple trials.
    • Relative Frequency: Determining experimental probability estimates based on empirical outcome data.

Statistics

  • Data Classification and Tabulation:

    • Classification of data (discrete vs continuous, qualitative vs quantitative).
    • Tally tables and frequency distribution tables.
  • Graphical Data Representation:

    • Histograms: Constructing and reading histograms with unequal class widths using frequency density.
    • Frequency Density Formula: Calculated as Frequency Density=FrequencyClass Width\text{Frequency Density} = \frac{\text{Frequency}}{\text{Class Width}}
    • Scatter Diagrams: Plotting bivariate data to analyze correlation and draw lines of best fit.

Syllabus Changes: 2024 to 2025

  • Calculator Policies:

    • Papers 1 and 2: Transitioned to strict non-calculator examinations.
    • Papers 3 and 4: Calculator permitted examinations.
  • New Topics Introduced to Extended Syllabus:

    • Surds (simplifying and rationalising denominators).
    • Fractional-power graphs (such as x(12)x^{(\frac{1}{2})} and x(−12)x^{(-\frac{1}{2})}).
    • Domain and range of functions.
    • Exact trigonometric values (0∘0^\circ, 30∘30^\circ, 45∘45^\circ, 60∘60^\circ, 90∘90^\circ).
  • Topics Removed from Extended Syllabus:

    • Vector arithmetic (vectors are retained in Core only).
    • Box plots.
    • Linear programming.
    • Data collection procedures.