Consistency refers to whether a Linear System has solutions.
Theorem Of Consistency
A system of linear equations has zero solutions, one solution, or infinitely many solutions. There are no other possibilities.
- If the system has no solutions, it is inconsistent.
- Else, if it has one or infinite solutions, it is consistent.
Every homogenous system is consistent, as there is always at least one solution, by setting all coefficients to 0:
Theorem of Inconsistency in Matrix Form
A Linear System is inconsistent if and only if there is at least one row in the row-echelon or reduced row-echelon matrix having all entries equal to zero, except for a non-zero in the final entry
In other words, every row in the coefficient matrix of the row-echelon form must contain a leading entry.
For example
If we use back substitution interpret the matrix back into equations, we get:
which is a contradiction, hence the system has no solutions.
Theorem of Consistency in Coefficient-Augmented Matrix Form
Suppose we have a consistent linear system with variables ( columns)
- If the row-reduced augmented matrix has exactly non-zero rows, then the system has a unique solution.
- If the row-reduced augmented matrix has non-zero rows, then the system has infinitely many solutions.
- If is the number of non-zero rows in the row-echelon form, then parameters are needed to specify the solution set.
is the rank of the matrix.
Theorem of Consistency from Rank
The linear system system , where is an matrix, has:
- No solution if
- A unique solution if and
- Infinite solutions if and
Note that