AI-generated Computed, not drawn Default vectors are illustrative

This sandbox was generated by Claude (Anthropic) for the Linear Algebra 101 course materials, and is built for Module 1. Set two vectors u and v by dragging their tips on the plane or typing their components, and watch everything the module defines update at once: the sum (the diagonal of the parallelogram), a linear combination a u + b v, the dot product, the angle between them, the determinant, and the projection of u onto v. Every drawn point is computed — the tip of the sum, the foot of the projection and the span line all come from the vector arithmetic, never sketched.

The determinant decides the pair. det(u, v) = u₁v₂ − u₂v₁ is the signed area of the parallelogram u and v build. When it is non-zero the vectors are independent and their span is the whole plane; when it is zero they are dependent and their span collapses to a line (or a point, if both are zero). The page prints the determinant, the independence verdict and the span dimension together, and draws the span as a line when the parallelogram has flattened to zero area.

Notation follows the course: column vectors, the dot product written u . v, the norm |u|, the angle from cos θ = (u . v)/(|u| |v|), and the projection projₖ(u) = ((u . v)/(v . v)) v.

What is chosen rather than computed: the default vectors, the preset pairs (each labelled where it is selected), and the extent of the drawn grid. Nothing on this page is a measurement of anything; it is arithmetic, and the arithmetic is done rather than imitated.

Vector Playground — sum, span, dot, angle and projection

Course demo — linked from the Module 1 lesson deck; the page itself is English‑only for now. Two vectors in the plane carry a surprising amount of structure. Drag them around and watch it all follow. One thing to take away: the determinant u₁v₂ − u₂v₁ is zero exactly when the two vectors line up — and that is the same moment their span stops being the whole plane and becomes a single line.

The two vectors stage 1

 

Vector u
Vector v

 

Linear combination stage 2

1.0
1.0

 

 

Show stage 3–4