Subspaces and dimension
Spans keep producing the same shapes: a line through the origin, a plane through the origin, or everything. Never a curve, never a shape that misses the origin. That pattern has a reason and a name.
What qualifies
A subspace is a set closed under the only two operations that exist here: add two vectors from it, and you stay inside; scale one, and you stay inside.
Test a line through the origin, say all multiples of . Add and to get — still on the line. Scale any of them — still on the line. It qualifies.
Now test a line that misses the origin, the points where . Take and , both on it. Their sum is , and . It fell off. Not a subspace.
Every subspace must contain the origin, because scaling any of its vectors by zero lands there. That single requirement is why "through the origin" keeps appearing.
Dimension is a count you cannot fake
The dimension of a subspace is the number of vectors in a basis for it: how many independent directions it holds.
- A line through the origin: dimension 1.
- A plane through the origin: dimension 2.
- All of 3D space: dimension 3.
- The origin alone: dimension 0, a subspace with nothing to move along.
The remarkable part, and the reason dimension is trustworthy: every basis for a given subspace has the same number of vectors. You may describe a plane with or with , but never with three independent vectors, and two are never enough for 3D space. The count is a property of the space itself.
Act I is complete
You now have the objects: vectors, the two operations, span, independence, basis, subspace, dimension.
Everything so far has been static — describing what is. Act II sets it in motion, and asks a question that turns out to be the whole subject: what happens if you take all of space and move it at once?