Ch. 8 Vectors - Precalculus

Parallel Vectors

* Same/opposite direction
* Not necessarily same magnitude

Equivalent vectors

* Same magnitude
* Same direction

Opposite vectors

* Same magnitude
* Opposite direction (-a)

Resultant vector

* The sum of 2 or more vectors

Zero vector

* AKA null vector
* Magnitude of 0
* No specific direction
* Resultant of 2 opposite vectors

Multiplying Vectors with Scalars

* Vector: v
* Real number scalar: k
* Scalar multiple: kv
* Magnitude of |k| |v|
* Direction based on the sign of k
* k > 0 \~ same direction as v
* k < 0 \~ opposite direction as v

Component Form

* ⟨Δx, Δy⟩
* ⟨x₂ - x₁ y₂ - y₁⟩

Vector Operations

* a + b = ⟨a₁ + b₁, a₂ + b₂⟩
* a - b = ⟨a₁ - b₁, a₂ - b₂⟩
* ka = ⟨ka₁, ka₂⟩

Vector Sum

* ai + bj
* Component Form: ⟨a, b⟩

Direction of Vectors

* |v|(cos θ)i + |v|(sin θ)j
* a = |v|(cos θ)
* b = |v|(sin θ)
* tan⁻¹(b/a)

Dot Product

* a ⋅ b = a₁b₁ + a₂b₂
* Orthogonal when a ⋅ b = 0 \~ except zero vector

Commutative Property of the Dot Product

* u ⋅ v = v ⋅ u

Distributive Property of the Dot Product

* u(v + w) = (u ⋅ v )+ (u ⋅ w)

Scalar Multiplication Property of the Dot Product

* k(uv) = ku ⋅ v = u ⋅ kv

Zero Vector Dot Product Property

* 0 ⋅ u = 0

Dot Product and Vector Magnitude Relationship

* u ⋅ u = |u|²
* u₁² + u₂²

Angle Between 2 Vectors

* cos θ = (a ⋅ b)/(|a| |b|)

Vector Projection

* projᵥu = \[(u ⋅ v)/|v|²\]v
* Projection of u onto v
* Parallel to v \~ not always the same direction

Work

* W₁ = |F| |**AB**|
* |F| (cos θ) |**AB**|
* |proj__*AB*__F| |**AB**|
* The first AB should be in subscript

Unit Vector

* (Component Form)/(Magnitude)