Linear Algebra
2.37 min read

Vector Addition

To add two vectors in Rm\mathbb{R}^m, simply add their corresponding entries. That's it: (u1,,um)+(v1,,vm)=(u1+v1,,um+vm)(u_1, \ldots, u_m) + (v_1, \ldots, v_m) = (u_1 + v_1, \ldots, u_m + v_m).

Geometrically, vector addition follows the parallelogram rule: place both vectors at the origin, complete the parallelogram, and the sum is the diagonal. Equivalently, place them tip-to-tail.

We can only add vectors of the same size — you can't add a vector in R2\mathbb{R}^2 to one in R3\mathbb{R}^3. This constraint will become important when we think about matrix multiplication.

Formal View

Definition 2.3 — Vector Addition
For u,vRm\mathbf{u}, \mathbf{v} \in \mathbb{R}^m, their sum is
u+v=(u1+v1um+vm)Rm\mathbf{u} + \mathbf{v} = \begin{pmatrix} u_1 + v_1 \\ \vdots \\ u_m + v_m \end{pmatrix} \in \mathbb{R}^m

Why This Matters

Vector addition is the first operation that makes many disparate phenomena unified.

  • Force superposition: total force = sum of individual force vectors
  • Portfolio returns: portfolio performance = weighted sum (linear combination) of asset returns
  • Signal mixing: combined audio signal = sum of individual wave vectors

Quiz

Question 1

What is (1,2,3)+(4,1,0)(1, 2, 3) + (4, -1, 0)?

Common Mistakes

  • Adding vectors of different sizes — only vectors of the same dimension can be added.
  • Thinking vector addition is somehow different from scalar addition — it's literally just addition applied to each entry.