Loading...
Loading...
Linear Algebra (Matrices) · Axiom Academy
A basis is a set of vectors that is both linearly independent and spans the space — just enough to reach everything, with no redundancy. 1. A Basis Must Pass Two Tests To be a basis for a space, a set of vectors has to clear two hurdles at the same time. Watch three candidate sets for the plane get put through both tests — only one passes. Independent and spans — its combinations fill the whole plane. Passes both. ✓ Independent, but one vector only reaches a single line — it doesn't span. Fails test 2. Spans the plane, but adds nothing new — the set is dependent . Fails test 1. Drop a vector and you lose reach; add a redundant one and you lose independence. A basis sits exactly in between. 2. Just Enough: Minimal Spanning, Maximal Independent There's a tidier way to say "independent and spanning." A basis is the smallest set that still spans, and equivalently the largest set that stays independent. Watch the set grow one vector at a time and see where it's "just right." stays independent but only spans a line. Add to reach more. Not yet spanning. spans all of and is still independent. This is a basis : minimal spanning and maximal independent. A third vector in the plane must already be a combination of the first two — it breaks independence without adding reach. "Smallest spanning set" and "largest independent set" describe the same set. That set is the basis. 3. Every Vector Has Exactly One Address
This is the written version of the interactive lesson above. See the full Linear Algebra (Matrices) course.