释义 |
Cramer's RuleGiven a set of linear equations
 | (1) |
consider the Determinant
 | (2) |
Now multiply by , and use the property of Determinants that Multiplication by aconstant is equivalent to Multiplication of each entry in a given row by that constant
 | (3) |
Another property of Determinants enables us to add a constant times any column to any column andobtain the same Determinant, so add times column 2 and times column 3 to column 1,
 | (4) |
If , then (4) reduces to , so the system has nondegenerate solutions (i.e., solutions other than(0, 0, 0)) only if (in which case there is a family of solutions). If and , thesystem has no unique solution. If instead and , then solutions are given by
 | (5) |
and similarly for
This procedure can be generalized to a set of equations so, given a system of linear equations
 | (8) |
let
 | (9) |
If , then nondegenerate solutions exist only if . If and , the system has no unique solution. Otherwise, compute
 | (10) |
Then for . In the 3-D case, the Vector analog of Cramer's rule is
 | (11) |
See also Determinant, Linear Algebra, Matrix, System of Equations, Vector |