vector basics
Vectors
You should know: coordinate plane
Overview
A vector is a quantity with both magnitude and direction, represented as an arrow in space or, algebraically, as an ordered list of components. Vectors let us describe displacement, velocity, and force in a way that plain numbers (scalars) cannot — knowing a car moves at '60' isn't enough; you need '60 mph north'.
Intuition
A scalar is a single number: temperature, mass, distance traveled. A vector is that plus a direction: 5 km north, 3 newtons downward. Two vectors add by placing them head to tail — walk 3 blocks east then 4 blocks north, and your net displacement is a single diagonal vector of length 5.
Interactive Graph
Formal Definition
In ℝⁿ, a vector is an ordered n-tuple, with addition and scalar multiplication defined componentwise:
Vector addition
Scalar multiplication
Magnitude (length) of a vector
Notation
| Notation | Meaning |
|---|---|
| A vector (also written in bold, v) | |
| The magnitude (norm/length) of v | |
| The dot product of u and v |
Properties
Dot product formula
Commutativity of addition
Orthogonality test
Applications
Worked Examples
Add componentwise.
Answer: (1, 8)
Practice Problems
Are u = (2, -3) and v = (6, 4) orthogonal?
Two cables pull on a bracket: F₁ = (300, 0) N (horizontal) and F₂ = (0, 400) N (vertical). Find the magnitude and direction of the resultant force the bracket must resist.
A 600 N force acts along a roof rafter inclined at 30° to the horizontal. Resolve it into horizontal and vertical components.
A tugboat pulls a barge with force F = (500, 200) N while the barge moves along displacement d = (10, 0) m. Compute the work done, W = F·d.
Common Mistakes
Treating vector magnitude like simple addition of components.
‖(3,4)‖ ≠ 3+4. The magnitude uses the Pythagorean formula √(3²+4²) = 5, not the sum of components.
Quiz
Summary
- A vector has both magnitude and direction, unlike a scalar.
- In ℝⁿ, vectors add and scale componentwise.
- Magnitude: ‖v‖ = √(v₁²+...+vₙ²); dot product: u·v = Σuᵢvᵢ = ‖u‖‖v‖cos θ.
- Two vectors are orthogonal exactly when their dot product is zero.
References
- WebsiteWikipedia — Euclidean vector
Mathematics