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Calculus & Linear Algebra for STEM · Vectors and Matrices

Vectors

Reading40mLesson 1 of 3 in this module

What you'll learn

  • Add vectors and compute dot products
  • Scale a vector and find its length and unit vector
  • Use the dot product to find angles and test for perpendicularity

Add and scale vectors, measure their length, and use the dot product to find angles and test for perpendicularity.

Why this matters

A single number cannot describe a force acting at an angle, a wind velocity, the colour of a pixel or a customer's purchase history. A vector can. Structural engineers add force vectors to check that a joint balances, physicists resolve velocities into components, and data scientists treat every row of a dataset as a vector so they can measure how similar two rows are. Linear algebra, the second half of this course, is built on vectors.

What a vector is

A vector is an ordered list of numbers. Geometrically, in 2D or 3D it is an arrow with a length and a direction; in data work it can have hundreds of entries.

v = (3, 4)          a 2D vector: 3 right, 4 up
F = (120, −40, 0)   a force in newtons along x, y, z

The numbers are the vector's components. An arrow's position does not matter, only its length and direction.

Adding and scaling

  • Addition works component by component: (3, 4) + (1, −2) = (4, 2). Geometrically, place the arrows tip to tail.
  • Scalar multiplication stretches the vector: 2 · (3, 4) = (6, 8). A negative scalar flips its direction.

Worked example: two cables pull on a ring with forces (300, 400) N and (−100, 200) N. The resultant is (200, 600) N. A third force of (−200, −600) N would balance the ring, so the sum would be the zero vector. That is the basic check of statics.

Length (magnitude)

By Pythagoras, the length of v = (v₁, v₂, …, vₙ) is:

|v| = √(v₁² + v₂² + … + vₙ²)

|(3, 4)| = √(9 + 16) = 5. Dividing a vector by its length gives a unit vector (length 1) pointing the same way: (0.6, 0.8).

The dot product

The dot product multiplies matching components and adds them up:

u · v = u₁v₁ + u₂v₂ + … + uₙvₙ
(1, 2, 3) · (4, 5, 6) = 4 + 10 + 18 = 32

It turns two vectors into one number, and that number has a geometric meaning:

u · v = |u| · |v| · cos θ

where θ is the angle between them. So:

  • u · v > 0: they point roughly the same way (θ < 90°).
  • u · v = 0: they are perpendicular (orthogonal).
  • u · v < 0: they point roughly in opposite directions.

Rearranging gives the angle: cos θ = (u · v) / (|u| |v|). Also notice that v · v = |v|², so length comes from the dot product too.

Where the dot product shows up

  • Work in physics: W = F · d. Pushing at an angle only counts the component of force along the motion.
  • Projections: the component of u along a unit vector e is u · e. Engineers use it to resolve loads along a member.
  • Similarity in data: cosine similarity, (u · v) / (|u| |v|), compares documents, user profiles and embeddings in search and recommendation systems.
  • Weighted sums: a linear model's prediction w₁x₁ + w₂x₂ + … is the dot product w · x.

In code

Plain Python handles small vectors well:

Python
import math

def dot(u, v):
    return sum(a * b for a, b in zip(u, v))

def length(v):
    return math.sqrt(dot(v, v))

print(dot([1, 2, 3], [4, 5, 6]))   # 32

With NumPy, numpy.array([1, 2, 3]) @ numpy.array([4, 5, 6]) or numpy.dot does the same thing, fast, for millions of entries.

Common mistakes

  • Adding vectors of different sizes. Both must have the same number of components.
  • Treating the dot product as a vector. It is a single number. (The cross product, used for torque in 3D, is a vector.)
  • Forgetting to normalise before reading cos θ; divide by both lengths.
  • Mixing units. Do not add a force vector in newtons to one in kilonewtons.

Quick recap

  • A vector is an ordered list of components: an arrow with length and direction.
  • Add component-wise; scale by multiplying every component.
  • Length is √(v · v); a unit vector has length 1.
  • u · v = Σ uᵢvᵢ = |u||v|cos θ: zero means perpendicular.

Try it

In the Do tab, write the dot product and use it to find lengths and angles.

Key terms (6)

vector
An ordered list of numbers; geometrically, an arrow with a length and a direction.
components
The individual numbers that make up a vector.
Scalar multiplication
Multiplying every component of a vector by the same number, which stretches or flips it.
unit vector
A vector of length 1, found by dividing a vector by its length.
dot product
The sum of the products of matching components; it equals |u||v|cos θ.
perpendicular
At right angles; two vectors are perpendicular when their dot product is 0.

Recap

  • A vector is an ordered list of components: an arrow with length and direction.
  • Add component by component; scale by multiplying every component.
  • Length is √(v · v); a unit vector has length 1.
  • u · v = Σ uᵢvᵢ = |u||v|cos θ, and zero means perpendicular.
  • The dot product is a single number, not a vector.
Also in this lesson: