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