Determinants

Pre-requisites: Vectors

A matrix is just a two-dimensional array of numbers, arranged like so: That was a 2 by 3 matrix; an n by m matrix is a matrix with nm numbers arranged into a rectangular array with n rows and m columns: You can add or subrtrct two matrices of the the same size (both n by m) term wise and multiply or divide any sized matrix by a scalar constant, just like you can do for vectors.

Matrices are special in the way that they multiply. If you have an n by m matrix A and a m by p matrix B, then their product is the n by p matrix AB which has as its (i,j)-th entry the dot product of A's i-th row and B's j-th column.

Matrices (and determinants) arose out of efforts to understand systems of linear equations. If you have the system of linear equations

a x + by = e c x + d y = f
it can be rewritten into the matrix equation as
[ a b ] [ x ] = [ e ] [ c d ] [ y ] [ f ]
If we tried to solve this system, we would get answers like x = (ed - bf)/(ad-bc) and y = (ec-af)/(ad-bc). The denominator ad-bc of these expressions is called the determinant of the matrix
[ a b ] [ c d ]
The determinant of an n by n matrix has many important properties. We just saw one: the system of linear equations Ax = y is solvable if and only if det A is non-zero. Here are some others:

Exercises:

  1. Given an example of two matrices A and B for which AB is not the same as BA.

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Last modified 1 July 1997