A Level Further Mathematics CCEA

This subject is broken down into 118 topics in 43 modules:

  1. Matrices (Pure Mathematics) 8 topics
  2. Vectors (Pure Mathematics) 5 topics
  3. Hooke's Law (Applied Mathematics) 2 topics
  4. Work and Energy (Applied Mathematics) 4 topics
  5. Power (Applied Mathematics) 2 topics
  6. Circular Motion (Applied Mathematics) 2 topics
  7. Further Particle Equilibrum (Applied Mathematics) 1 topics
  8. Resultant and Relative Velocity (Applied Mathematics) 2 topics
  9. Gravitation (Applied Mathematics) 2 topics
  10. Dimensions (Applied Mathematics) 1 topics
  11. Sampling (Applied Mathematics) 1 topics
  12. Probability (Applied Mathematics) 2 topics
  13. Statistical Distributions (Applied Mathematics) 4 topics
  14. Bivariate Distributions (Applied Mathematics) 4 topics
  15. Group Theory (Applied Mathematics) 3 topics
  16. Algorithms on Graphs (Applied Mathematics) 4 topics
  17. Recurrence Relationships (Applied Mathematics) 2 topics
  18. Boolean Algebra (Applied Mathematics) 1 topics
  19. Proof (Pure Mathematics) 1 topics
  20. Further algebra and functions (Pure Mathematics) 4 topics
  21. Complex numbers (Pure Mathematics) 9 topics
  22. Further Calculus (Pure Mathematics) 3 topics
  23. Polar co-ordinates (Pure Mathematics) 5 topics
  24. Hyperbolic functions (Pure Mathematics) 3 topics
  25. Differential equations (Pure Mathematics) 2 topics
  26. Simple Harmonic Motion (Applied Mathematics) 3 topics
  27. Damped Oscilliations (Applied Mathematics) 1 topics
  28. Centre of Mass (Applied Mathematics) 3 topics
  29. Frameworks (Applied Mathematics) 1 topics
  30. Further Circular Motion (Applied Mathematics) 2 topics
  31. Further Kinematics (Applied Mathematics) 2 topics
  32. Further Centre of Mass (Applied Mathematics) 4 topics
  33. Force systems in two dimensions (Applied Mathematics) 1 topics
  34. Restitution (Applied Mathematics) 1 topics
  35. Linear combinations of independent variables (Applied Mathematics) 1 topics
  36. Sampling and estimation (Applied Mathematics) 3 topics
  37. The t-distribution (Applied Mathematics) 2 topics
  38. 𝝌𝟐 tests (Applied Mathematics) 2 topics
  39. Counting (Applied Mathematics) 2 topics
  40. Graph Theory (Applied Mathematics) 4 topics
  41. Algorithms on graphs (Applied Mathematics) 3 topics
  42. Generating functions (Applied Mathematics) 2 topics
  43. Group theory (Applied Mathematics) 4 topics
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  • 43
    modules
  • 118
    topics
  • 45,348
    words of revision content
  • 5+
    hours of audio lessons

This page was last modified on 28 September 2024.

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Further Mathematics

Matrices (Pure Mathematics)

Matrices

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Matrices

Introduction to Matrices

  • A matrix is a rectangular arrangement of numbers.
  • These numbers are called the elements or entries of the matrix.
  • Rows run horizontally and columns run vertically in a matrix.
  • The dimension of a matrix is given in the form 'm x n' (m rows by n columns).
  • A square matrix has the same number of rows as it does columns.
  • An identity matrix is a square matrix with ones along the main diagonal and zeroes elsewhere.

Matrix Operations

  • Matrices can be added or subtracted element by element if they are of the same dimensions.
  • Matrix multiplication is possible if the number of columns in the first matrix equals the number of rows in the second.
  • In the multiplication of matrices, order matters (AB ≠ BA).
  • The transpose of a matrix is obtained by swapping the rows and columns.
  • A matrix can be multiplied by a scalar; each element is multiplied by the scalar.

Determinants and Inverses

  • The determinant of a matrix is a specific number that can only be calculated for square matrices.
  • If the determinant of a matrix is zero, it is said to be singular or non-invertible.
  • The inverse of a matrix A is denoted as A^-1, and it satisfies the property that AA^-1 = A^-1A = I, where I is the identity matrix.
  • To find the inverse of a matrix, one has to use the formula A^-1 = 1/det(A) adj(A), where adj(A) is the adjugate of A.

Applications of Matrices

  • Matrices are used to solve systems of linear equations through Gaussian elimination or Cramer's rule.
  • They are used to perform linear transformations including rotation, dilation, reflection and shearing.
  • In computer graphics, matrices are used to manipulate and transform 3D figures.
  • In probability and statistics, matrices are used in Markov chains to model and predict behaviour over time.

Course material for Further Mathematics, module Matrices (Pure Mathematics), topic Matrices

Further Mathematics

Complex numbers (Pure Mathematics)

Fucntions with complex numbers in the form x + iy with x and y real;

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Fucntions with complex numbers in the form x + iy with x and y real;

Properties of Complex Numbers

  • Complex numbers are written in the form x + iy where x and y are real numbers and i is imaginary unit, defined by the property that i² = -1.
  • The real part (Re) of the complex number, represented by x, forms the horizontal axis on the complex plane, and the imaginary part (Im), represented by y, forms the vertical axis.
  • Complex numbers can be added, subtracted, multiplied, and divided just like real numbers. Please note that when multiplying and dividing, care should be taken with the imaginary unit i (e.g., i^2 = -1).

Modulus and Argument of Complex Numbers

  • The modulus or absolute value of a complex number x + iy is given by the distance from the origin to the point representing the complex number in the complex plane, calculated using Pythagorean theorem as √(x² + y²).
  • The argument of a complex number is the angle formed by the line from the origin to the point and the positive real axis on the complex plane, counted in an anti-clockly direction. It has value between 0 and .
  • The complex number can be represented in polar form r(cos θ + isin θ) where r is the modulus and θ is the argument.

Complex Conjugates

  • The complex conjugate of a function represented as x + iy is identified as x - iy.
  • Multiplying a complex number and its complex conjugate yields a real number, which is the square of the magnitude of the original complex number.

Functions on Complex Numbers

  • Just like real numbers, we can build functions on complex numbers. The most common functions include power functions, exponential functions, and trigonometric functions.
  • The fundamental theorem of algebra states that every non-constant polynomial equation has at least one complex root. This fact underpins the usage of complex numbers in finding solutions for a wide range of functions in mathematics.

Complex-Valued Functions

  • Real functions produce a real number for each real input. Similarly, a function which produces a complex number for each complex input is called a complex-valued function.
  • Functions of a complex variable carry many similar properties to their counterparts with real variables although care should be taken as the behaviour in the complex plane can often be counter-intuitive.

Loci in the Complex Plane

  • The locus of a complex number z is the set of all points on the complex plane that satisfy a certain condition.
  • Loci are useful in visually representing properties or conditions of complex numbers.
  • Important loci include circles, lines and rays in the complex plane.

Course material for Further Mathematics, module Complex numbers (Pure Mathematics), topic Fucntions with complex numbers in the form x + iy with x and y real;

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