Another Angle

Chapter 4 · Intuitive Math for Economics and Business

Linear Algebra Explained in 6 Minutes

A vector is a building block for describing movement, and its coordinates are nothing more than how many times you use each block. Adding vectors chains two movements; scaling repeats one. A linear transformation moves the whole space at once — so if you know where the basis vectors land, you know where everything lands.

Why vectors show up in a calculus series

This chapter exists because of where the series is going. The nudge ratio worked beautifully with one input, but real problems have several — and the moment you nudge a point in a plane, you have to say which direction you nudged it. That's a vector. So linear algebra isn't a detour here; it's the vocabulary the next chapter needs.

The framing is deliberately physical: a vector is a block of movement, not an arrow to memorise rules about. Coordinates are then almost trivially honest — they're a count of how many of each block you used. Addition chains movements; scaling repeats one; a linear combination of three independent basis vectors reaches every point in space.

The last step is the one worth slowing down for. A linear transformation doesn't act on one vector at a time; it moves the entire space in a single gesture. And because every point is built from basis vectors, tracking where just those few blocks land tells you where all of it lands. Six minutes is enough for that, because nothing here needs a formula.

Chapters in the video

Read it instead

The written version: coordinates are counts of building blocks — what a basis vector is, and why the columns of a matrix are where the basis vectors landed.

Walk inside it

Coordinates are easier to trust when you're standing on them. Open World Discover puts a live coordinate readout on screen while you drive, fly and walk around a function's graph.

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