A Level Mathematics CAIE

This subject is broken down into 38 topics in 6 modules:

  1. Paper 1 8 topics
  2. Paper 2 6 topics
  3. Paper 3 9 topics
  4. Paper 4 5 topics
  5. Paper 5 5 topics
  6. Paper 6 5 topics
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This page was last modified on 28 September 2024.

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Mathematics

Paper 1

Quadratics

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Quadratics

Quadratic Equations and Functions

  • A quadratic equation takes the form ax^2 + bx + c = 0, where a ≠ 0.
  • The solutions to a quadratic equation are given by the quadratic formula: x = [-b ± sqrt(b^2 - 4ac)] / (2a).
  • The "discriminant" is the term b^2 - 4ac. Its value determines the number of roots the equation has.
  • The graph of a quadratic function is called a parabola. It is symmetric about the line x = -b/2a, known as the axis of symmetry.
  • The lowest or highest point on the graph of a quadratic function is called the vertex. For a function given in the form y = ax^2 + bx + c, the vertex occurs at x = -b/2a.
  • The y-intercept of a quadratic function is the value of c (since y = c when x = 0).
  • The x-intercepts or roots of a quadratic function are the solutions to the equation ax^2 + bx + c = 0.

Factoring Quadratics

  • Factoring is a method used to solve a quadratic equation. An equation can be factored if it can be rewritten in the form (dx + e)(fx + g) = 0, where d and f are the factors of a, and e and g are the factors of c that add up to b.
  • The zero-product property states that if a product of factors equals zero, then at least one of the factors must be zero. This property allows us to set each factor equal to zero and solve for x.
  • Factoring is not always possible, particularly in cases where the discriminant is negative, expressing that the equation has no real roots.

Quadratic Inequalities

  • Quadratic inequalities take the form ax^2 + bx + c < 0, ax^2 + bx + c ≤ 0, ax^2 + bx + c > 0, or ax^2 + bx + c ≥ 0.
  • Solve a quadratic inequality by first factoring the quadratic function and then determining the intervals where the function is positive or negative.
  • Plot the graph; where the graph lies above the x-axis, y > 0, and where the graph lies below the x-axis, y < 0.

Completing the Square

  • Completing the square is another method used to solve a quadratic equation, especially useful when the equation does not factor easily.
  • This process involves transforming the given equation into the form (x - h)^2 = k, which allows us to identify the vertex 'h' and y-intercept 'k'.
  • After completing the square and simplifying the equation, solutions can be found by solving x - h = sqrt(k) and x - h = -sqrt(k).

Quadratic Formula Derivation

  • The quadratic formula can be derived from the process of completing the square
  • Start with the standard form of a quadratic equation (ax^2 + bx + c = 0), and manipulate it to derive the formula: *x = [-b ± sqrt(b^2 - 4ac)] / 2a.

Course material for Mathematics, module Paper 1, topic Quadratics

Mathematics

Paper 3

Numerical solution of equations

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Numerical solution of equations

Numerical Methods for Solving Equations

  • Numerical Methods: Techniques used for finding approximate solutions to complex mathematical problems that cannot be solved exactly.
  • Approximate Solution: A numerical value that is close to, but not exactly equal to, the true solution of a mathematical problem.

Iteration

  • Iteration: A procedure for approximating solutions in which an initial estimate is improved through an iterative process.
  • Predictor-Corrector Method: An iterative method where the result at each stage is used as the starting point for the next stage.

Change of Sign Method

  • Change of Sign Method: Effective when a continuous function crosses the x-axis, indicating that a root lies between two x-values.
  • Bisection Method: A specific change of sign method, which involves halving the interval until it becomes sufficiently small.
  • Error Bounds: Interval around the approximate solution where the exact solution is known to lie.

Newton-Raphson Method

  • Newton-Raphson Method: Efficient iterative method for finding roots, especially when the initial approximation is close to the root.
  • Derivative: In this method, the tangent at a point is used to provide the next approximation, requiring the calculation of the derivative of the function.

Rearranging f(x) = 0 in the Form x = g(x)

  • Rearranging Equations: Effective method when equations can be rearranged into the form x = g(x).
  • Fixed Point Iteration: Involves repeatedly applying the function g(x) until the value of x stabilises.
  • Convergence: The property of iteration methods where the sequence of approximations gets closer and closer to the actual solution.

Using Numerical Methods to Find Solutions

  • Choosing a Method: The choice of method depends on what information is known about the function and the nature of the root.
  • Sensitivity to Starting Values: Some methods, like Newton-Raphson and iteration, may give different solutions with different starting values.
  • Accuracy and Precision: Determine how close the approximate solution is to the true solution and how consistently it can be reproduced.
  • Rate of Convergence: How quickly the method arrives at the approximation; fast convergence is usually desirable.

Application in Real-world Problems

  • Real-world Applications: Numerical methods are crucial in areas like physics, engineering, finance, and computer science where exact solutions are sometimes unattainable.

Course material for Mathematics, module Paper 3, topic Numerical solution of equations

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