EXAMPLE 1: m>n, unique solution with a redundant row arising mid-elimination Solve the below system of equations using Gauss elimination. Forming the augmented matrix and applying Gauss elimination: ⇒ [ ] ⇒ [ ⏟ ⇒ ] [ ⏟ ] ⇒ ⏟ [ ] [ ⏟ ] There are no inconsistencies in the row-echelon form. Therefore, the system has at least one solution. In the rowechelon form, one row is redundant leaving 4 linearly independent equations. Since there is the same number of linearly independent equations as the number unknowns (4), this system has a unique solution. Applying back-substitution: or [ ] ME 210/Spring 2014/Section 01/Merve Erdal [ ] 1/2 EXAMPLE 2: m>n, inconsistency Solve the below system of equations using Gauss elimination. Forming the augmented matrix and applying Gauss elimination: ⇒ [ ] ⏟ ⇒ [ ] ⏟ [ ] STOP The 3rd row indicates an inconsistency, i.e. which is not possible. Therefore, there is no need to continue the elimination; this system has no solution. ME 210/Spring 2014/Section 01/Merve Erdal 2/2
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