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Square Systems
The most common situation involves a square coefficient matrix A and a single right-hand side column vector b. The solution, x = A\b, is then the same size as b. For example,
x = A\u
x =
10
-12
5
It can be confirmed that A*x is exactly equal to u.
If A and B are square and the same size, then X = A\B is also that size.
X = A\B
X =
19 -3 -1
-17 4 13
6 0 -6
It can be confirmed that A*X is exactly equal to B.
Both of these examples have exact, integer solutions. This is because the coefficient matrix was chosen to be pascal(3), which has a determinant equal to one. A later section considers the effects of roundoff error inherent in more realistic computation.
A square matrix A is singular if it does not have linearly independent columns. If A is singular, the solution to AX = B either does not exist, or is not unique. The backslash operator, A\B, issues a warning if A is nearly singular and raises an error condition if exact singularity is detected.
| Overview | Overdetermined Systems | ![]() |