## Consistent, Inconsistent and Degenerate Systems of Linear Equations

It is conveninet to give some definitions:

A system of equations is degenerate if more than one set of solutions equations and non degenerate if only one set of solutions exists.

A system of equations is inconsistent if no solutions exists.

A system of equations is consistent if solutions exist – either a unique set of solutions or more than one.

The definitions can be illustrated with matrices.

We can represent the simultaneous equations  in matrix form as This system of equations is consistent and non – degenerate. It is consistent and non – degenerate because the coefficient matrix is invertible, so a solution exists. We can write the solution as - this is unique so the system is non degenerate.

The system of equations  is inconsistent.

It is inconsisten because if we double the first equation, we obtain

4x+6y=14

but from the second equation, For a system of equations to be inconsistent it must be the case that the coefficient matrix has zero determinant, and no inverse. The coefficient matrix for these simultaneous equations is with determinant 2*6-3*4=0.

It is possible however for the coefficient matrix to have determinant zero, but for the system to have solutions – many solutions in fact. The system of equations  has many solutions: and and In fact any number will return a value such that is a solution of the equations.

We can generalise to higher orders. A system of linear equations has:

A unique solution if the determinant of the coefficient matrix is not equal to zero.

No solutions if the determinant of the coefficient matrix is zero but no equation can be expressed in terms of the others. For the last example above the second equation can be expressed in terms of the first by doubling it, and the first equation can be expressed in terms of the second by halving it.

Many solutions if the determinant of the coefficient matrix is zero and one equation can be expressed in terms of the others.

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