Linear Independence

You're given three vectors and told they 'point three ways.' But if one of them is secretly just a mix of the other two, it adds no new direction — it's along for the ride. Detecting that redundancy matters: it decides whether a basis is minimal, whether a matrix has an inverse, and whether a system has a unique solution. The name for 'no redundancy' is linear independence.