The fundamental problem in the first part of a standard linear algebra course is solving systems of equations. For example, solving for x and y in the equations x+y=6 2x−y=0
Using matrix multiplication, we can write an equivalent problem using matrices and vectors. [112−1][xy]=[60] The matrix is the coefficient matrix. It stores the coefficients of the variables in the equations: A=[112−1] The vector on the left is the variable vector. It tells the order of the variables that the coefficients in the columns of A correspond to. →v=[xy] The vector on the right is the set of values that each equation equals. Usually it is denoted with →b. →b=[60]
The equation can the be written A→v=→b The question is, what is →v?
Let's solve the 1-dimensional case because it is the easiest but also gives a little insight into what's to come. The fundamental question is, given a and b, how do you solve av=b for v?
There are three cases.
Case 1: If a≠0 then we can divide by a. The solution is v=b/a.
Case 2: If a=0 and b=0 then the equation is 0v=0 and any number is a solution. In particular, there are infinitely many solutions.
Case 3: If a=0 and b≠0 then there are no solutions. For example, if a=0 and b=2, there is no number v that solves 0v=2.
All three of these cases will come up in higher dimensions but they are easy to recognize. The example [112−1][xy]=[60] is like Case 1 since there is only one solution.
This is like Case 2 which has infinitely many solutions: [2346][xy]=[510]
This is like Case 3 which has no solutions: [2142][xy]=[11]
Enter a matrix A to see the corresponding system of equations.