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🎯⭐ INTERACTIVE LESSON

Vectors in Two Dimensions

Learn step-by-step with interactive practice!

Vectors in Two Dimensions - Complete Interactive Lesson

Part 1: Vector Basics

➡️ Introduction to Vectors

Part 1 of 7

What Is a Vector?

A vector is a quantity with both magnitude (length) and direction.

Examples: velocity, force, displacement. Compare with scalars (magnitude only): speed, mass, temperature.

Notation

  • Arrow notation: v⃗\vec{v}, AB⃗\vec{AB} (from AA to BB)
  • Component form: v⃗=⟨a,b⟩\vec{v} = \langle a, b \rangle or v⃗=ai+bj\vec{v} = a\mathbf{i} + b\mathbf{j}
  • i=⟨1,0⟩\mathbf{i} = \langle 1, 0 \rangle (unit vector in xx-direction)
  • j=⟨0,1⟩\mathbf{j} = \langle 0, 1 \rangle (unit vector in yy-direction)

Magnitude

∣v⃗∣=∥v⃗∥=a2+b2|\vec{v}| = \|\vec{v}\| = \sqrt{a^2 + b^2}

Direction Angle

θ=tan⁡−1(ba)(adjusted for quadrant)\theta = \tan^{-1}\left(\frac{b}{a}\right) \quad \text{(adjusted for quadrant)}

📝 Finding Components

From Two Points

If A=(x1,y1)A = (x_1, y_1) and B=(x2,y2)B = (x_2, y_2):

AB⃗=⟨x2−x1,  y2−y1⟩\vec{AB} = \langle x_2 - x_1, \; y_2 - y_1 \rangle

Example: A=(1,3),B=(4,7)A = (1, 3), B = (4, 7)

AB⃗=⟨3,4⟩\vec{AB} = \langle 3, 4 \rangle, ∣AB⃗∣=9+16=5|\vec{AB}| = \sqrt{9+16} = 5

From Magnitude and Angle

If ∣v⃗∣=r|\vec{v}| = r and direction angle =θ= \theta:

v⃗=⟨rcos⁡θ,  rsin⁡θ⟩\vec{v} = \langle r\cos\theta, \; r\sin\theta \rangle

Example: ∣v⃗∣=10,θ=60°|\vec{v}| = 10, \theta = 60°

v⃗=⟨10cos⁡60°,10sin⁡60°⟩=⟨5,53⟩\vec{v} = \langle 10\cos 60°, 10\sin 60° \rangle = \langle 5, 5\sqrt{3} \rangle

Unit Vector

v^=v⃗∣v⃗∣\hat{v} = \frac{\vec{v}}{|\vec{v}|}

This has magnitude 1, same direction as v⃗\vec{v}.

➕ Basic Vector Operations

Addition

⟨a1,b1⟩+⟨a2,b2⟩=⟨a1+a2,  b1+b2⟩\langle a_1, b_1 \rangle + \langle a_2, b_2 \rangle = \langle a_1+a_2, \; b_1+b_2 \rangle

Geometrically: tip-to-tail method or parallelogram rule.

Subtraction

u⃗−v⃗=u⃗+(−v⃗)\vec{u} - \vec{v} = \vec{u} + (-\vec{v})

Scalar Multiplication

c⟨a,b⟩=⟨ca,cb⟩c\langle a, b \rangle = \langle ca, cb \rangle

  • c>0c > 0: same direction, scaled length
  • c<0c < 0: opposite direction, scaled length
  • c=0c = 0: zero vector ⟨0,0⟩\langle 0, 0 \rangle

Key Properties

PropertyStatement
Commutativeu⃗+v⃗=v⃗+u⃗\vec{u} + \vec{v} = \vec{v} + \vec{u}
Associative(u⃗+v⃗)+w⃗=u⃗+(v⃗+w⃗)(\vec{u}+\vec{v})+\vec{w} = \vec{u}+(\vec{v}+\vec{w})
Magnitude scaling$

Vector Basics Quiz 🎯

Compute 🧮

1) v⃗=⟨5,12⟩\vec{v} = \langle 5, 12 \rangle. What is ∣v⃗∣|\vec{v}|?

2) AB⃗\vec{AB} from A(2,−1)A(2, -1) to B(5,3)B(5, 3). xx-component = ?

3) 3⟨−2,4⟩=⟨?,?⟩3\langle -2, 4 \rangle = \langle ?, ? \rangle. The yy-component is?

Vector Properties 🔽

Exit Quiz ✅

Part 2: Vector Operations

🎯 The Dot Product

Part 2 of 7

Definition

For u⃗=⟨u1,u2⟩\vec{u} = \langle u_1, u_2 \rangle and v⃗=⟨v1,v2⟩\vec{v} = \langle v_1, v_2 \rangle:

u⃗⋅v⃗=u1v1+u2v2\vec{u} \cdot \vec{v} = u_1 v_1 + u_2 v_2

The dot product is a scalar (number), not a vector!

Geometric Form

u⃗⋅v⃗=∣u⃗∣ ∣v⃗∣cos⁡θ\vec{u} \cdot \vec{v} = |\vec{u}| \, |\vec{v}| \cos\theta

where θ\theta is the angle between the vectors.

Finding the Angle

cos⁡θ=u⃗⋅v⃗∣u⃗∣ ∣v⃗∣\cos\theta = \frac{\vec{u} \cdot \vec{v}}{|\vec{u}| \, |\vec{v}|}

Key Result: Perpendicularity

u⃗⊥v⃗  ⟺  u⃗⋅v⃗=0\vec{u} \perp \vec{v} \iff \vec{u} \cdot \vec{v} = 0

(since cos⁡90°=0\cos 90° = 0)

📝 Examples

Example 1: Compute the Dot Product

u⃗=⟨3,−2⟩,  v⃗=⟨4,5⟩\vec{u} = \langle 3, -2 \rangle, \; \vec{v} = \langle 4, 5 \rangle

u⃗⋅v⃗=3(4)+(−2)(5)=12−10=2\vec{u} \cdot \vec{v} = 3(4) + (-2)(5) = 12 - 10 = 2

Example 2: Find the Angle

u⃗=⟨1,0⟩,  v⃗=⟨1,1⟩\vec{u} = \langle 1, 0 \rangle, \; \vec{v} = \langle 1, 1 \rangle

cos⁡θ=1(1)+0(1)1⋅2=12\cos\theta = \frac{1(1)+0(1)}{1 \cdot \sqrt{2}} = \frac{1}{\sqrt{2}}

θ=45°\theta = 45°

Example 3: Check Perpendicularity

u⃗=⟨4,3⟩,  v⃗=⟨3,−4⟩\vec{u} = \langle 4, 3 \rangle, \; \vec{v} = \langle 3, -4 \rangle

u⃗⋅v⃗=12+(−12)=0\vec{u} \cdot \vec{v} = 12 + (-12) = 0 ✓ Perpendicular!

💡 Pattern: ⟨a,b⟩⊥⟨−b,a⟩\langle a, b \rangle \perp \langle -b, a \rangle always (rotate 90°).

📊 Properties of the Dot Product

PropertyFormula
Commutativeu⃗⋅v⃗=v⃗⋅u⃗\vec{u} \cdot \vec{v} = \vec{v} \cdot \vec{u}
Distributiveu⃗⋅(v⃗+w⃗)=u⃗⋅v⃗+u⃗⋅w⃗\vec{u} \cdot (\vec{v}+\vec{w}) = \vec{u}\cdot\vec{v} + \vec{u}\cdot\vec{w}
Scalar assoc.(cu⃗)⋅v⃗=c(u⃗⋅v⃗)(c\vec{u})\cdot\vec{v} = c(\vec{u}\cdot\vec{v})
Self dot product$\vec{v} \cdot \vec{v} =

Sign of the Dot Product

  • u⃗⋅v⃗>0\vec{u}\cdot\vec{v} > 0: angle is acute (0°<θ<90°0° < \theta < 90°)
  • u⃗⋅v⃗=0\vec{u}\cdot\vec{v} = 0: vectors are perpendicular (θ=90°\theta = 90°)
  • u⃗⋅v⃗<0\vec{u}\cdot\vec{v} < 0: angle is obtuse (90°<θ<180°90° < \theta < 180°)

Dot Product Quiz 🎯

Dot Product Calculations 🧮

1) ⟨5,−1⟩⋅⟨2,3⟩\langle 5, -1 \rangle \cdot \langle 2, 3 \rangle = ?

2) ∣v⃗∣2|\vec{v}|^2 where v⃗=⟨3,4⟩\vec{v} = \langle 3, 4 \rangle: v⃗⋅v⃗\vec{v}\cdot\vec{v} = ?

3) Angle between ⟨1,3⟩\langle 1, \sqrt{3} \rangle and ⟨1,0⟩\langle 1, 0 \rangle: θ\theta = ? degrees

Dot Product Properties 🔽

Exit Quiz ✅

Part 3: Dot Product

📐 Vector Projections

Part 3 of 7

Scalar Projection (Component)

The scalar projection of u⃗\vec{u} onto v⃗\vec{v}:

compv⃗u⃗=u⃗⋅v⃗∣v⃗∣\text{comp}_{\vec{v}}\vec{u} = \frac{\vec{u}\cdot\vec{v}}{|\vec{v}|}

This tells you "how much of u⃗\vec{u} goes in the direction of v⃗\vec{v}."

Vector Projection

projv⃗u⃗=u⃗⋅v⃗∣v⃗∣2 v⃗=u⃗⋅v⃗v⃗⋅v⃗ v⃗\text{proj}_{\vec{v}}\vec{u} = \frac{\vec{u}\cdot\vec{v}}{|\vec{v}|^2}\,\vec{v} = \frac{\vec{u}\cdot\vec{v}}{\vec{v}\cdot\vec{v}}\,\vec{v}

This is the vector component of u⃗\vec{u} in the direction of v⃗\vec{v}.

Decomposition

Any vector u⃗\vec{u} can be split into two parts: u⃗=projv⃗u⃗+u⃗⊥\vec{u} = \text{proj}_{\vec{v}}\vec{u} + \vec{u}_{\perp} where u⃗⊥\vec{u}_{\perp} is perpendicular to v⃗\vec{v}.

📝 Example: Projection of u⃗=⟨4,3⟩\vec{u} = \langle 4, 3 \rangle onto v⃗=⟨2,0⟩\vec{v} = \langle 2, 0 \rangle

Step 1: Dot Product

u⃗⋅v⃗=4(2)+3(0)=8\vec{u}\cdot\vec{v} = 4(2)+3(0) = 8

Step 2: Scalar Projection

compv⃗u⃗=8∣⟨2,0⟩∣=82=4\text{comp}_{\vec{v}}\vec{u} = \frac{8}{|\langle 2,0 \rangle|} = \frac{8}{2} = 4

Step 3: Vector Projection

projv⃗u⃗=84⟨2,0⟩=2⟨2,0⟩=⟨4,0⟩\text{proj}_{\vec{v}}\vec{u} = \frac{8}{4}\langle 2,0 \rangle = 2\langle 2,0 \rangle = \langle 4, 0 \rangle

Step 4: Perpendicular Component

u⃗⊥=u⃗−projv⃗u⃗=⟨4,3⟩−⟨4,0⟩=⟨0,3⟩\vec{u}_{\perp} = \vec{u} - \text{proj}_{\vec{v}}\vec{u} = \langle 4,3 \rangle - \langle 4,0 \rangle = \langle 0, 3 \rangle ✓

Check: ⟨0,3⟩⋅⟨2,0⟩=0\langle 0, 3 \rangle \cdot \langle 2, 0 \rangle = 0 ✓ (perpendicular)

💪 Application: Work

Work done by a constant force F⃗\vec{F} along displacement d⃗\vec{d}:

W=F⃗⋅d⃗=∣F⃗∣∣d⃗∣cos⁡θW = \vec{F} \cdot \vec{d} = |\vec{F}||\vec{d}|\cos\theta

Only the component of force in the direction of motion does work.

Example

A force F⃗=⟨6,2⟩\vec{F} = \langle 6, 2 \rangle (Newtons) moves an object from A(1,1)A(1,1) to B(4,5)B(4,5).

d⃗=⟨3,4⟩\vec{d} = \langle 3, 4 \rangle (meters)

W=6(3)+2(4)=18+8=26W = 6(3) + 2(4) = 18 + 8 = 26 Joules

💡 If the force is perpendicular to the displacement, W=0W = 0 (no work done).

Projection Quiz 🎯

Projection Calculations 🧮

u⃗=⟨3,4⟩,  v⃗=⟨1,2⟩\vec{u} = \langle 3, 4 \rangle, \; \vec{v} = \langle 1, 2 \rangle

1) u⃗⋅v⃗\vec{u}\cdot\vec{v} = ?

2) ∣v⃗∣2|\vec{v}|^2 = ?

3) The xx-component of projv⃗u⃗\text{proj}_{\vec{v}}\vec{u} is u⃗⋅v⃗∣v⃗∣2⋅v1\frac{\vec{u}\cdot\vec{v}}{|\vec{v}|^2} \cdot v_1. What is it? (Enter as a fraction like "11/5")

Projection Concepts 🔽

Exit Quiz ✅

Part 4: Unit Vectors

🧭 Vector Applications — Navigation & Forces

Part 4 of 7

Resultant of Forces

When multiple forces act on an object, the resultant is their vector sum:

R⃗=F⃗1+F⃗2+⋯+F⃗n\vec{R} = \vec{F}_1 + \vec{F}_2 + \cdots + \vec{F}_n

Equilibrium

An object is in equilibrium when the resultant force is zero:

F⃗1+F⃗2+⋯+F⃗n=0⃗\vec{F}_1 + \vec{F}_2 + \cdots + \vec{F}_n = \vec{0}

Navigation Vectors

  • Heading/bearing: measured clockwise from north
  • Ground speed: magnitude of the resultant velocity
  • Course: direction of actual travel (resultant)

📝 Example: Airplane in Wind

A plane flies at 500 mph on heading 070°070° (from north). Wind blows at 60 mph from heading 200°200°.

Convert to Standard Math Angles

Bearing 070°070° → math angle =90°−70°=20°= 90° - 70° = 20°

Plane: v⃗p=⟨500cos⁡20°,500sin⁡20°⟩≈⟨469.8,171.0⟩\vec{v}_p = \langle 500\cos 20°, 500\sin 20° \rangle \approx \langle 469.8, 171.0 \rangle

Wind from 200°200° means wind blows toward 020°020°: math angle =70°= 70°

Wind: v⃗w=⟨60cos⁡70°,60sin⁡70°⟩≈⟨20.5,56.4⟩\vec{v}_w = \langle 60\cos 70°, 60\sin 70° \rangle \approx \langle 20.5, 56.4 \rangle

Resultant

R⃗=⟨490.3,227.4⟩\vec{R} = \langle 490.3, 227.4 \rangle

Ground speed =∣R⃗∣≈490.32+227.42≈540= |\vec{R}| \approx \sqrt{490.3^2 + 227.4^2} \approx 540 mph

Course angle =tan⁡−1227.4490.3≈24.9°= \tan^{-1}\frac{227.4}{490.3} \approx 24.9° → Bearing ≈065°\approx 065°

⚖️ Example: Forces in Equilibrium

A 100 lb weight hangs from two cables making angles of 30°30° and 45°45° with the ceiling.

Let T1T_1 = tension at 30°30°, T2T_2 = tension at 45°45° from horizontal.

Force Equations (equilibrium)

Horizontal: T1cos⁡30°=T2cos⁡45°T_1\cos 30° = T_2\cos 45°

32T1=22T2  ⟹  T2=32T1=62T1\frac{\sqrt{3}}{2}T_1 = \frac{\sqrt{2}}{2}T_2 \implies T_2 = \frac{\sqrt{3}}{\sqrt{2}}T_1 = \frac{\sqrt{6}}{2}T_1

Vertical: T1sin⁡30°+T2sin⁡45°=100T_1\sin 30° + T_2\sin 45° = 100

12T1+22⋅62T1=100\frac{1}{2}T_1 + \frac{\sqrt{2}}{2} \cdot \frac{\sqrt{6}}{2}T_1 = 100

12T1+124T1=100\frac{1}{2}T_1 + \frac{\sqrt{12}}{4}T_1 = 100

T1(12+32)=100T_1\left(\frac{1}{2} + \frac{\sqrt{3}}{2}\right) = 100

T1=2001+3≈73.2T_1 = \frac{200}{1+\sqrt{3}} \approx 73.2 lb, T2≈89.7\quad T_2 \approx 89.7 lb

Applications Quiz 🎯

Force Calculations 🧮

1) Forces F⃗1=⟨8,6⟩\vec{F}_1 = \langle 8, 6 \rangle and F⃗2=⟨−3,2⟩\vec{F}_2 = \langle -3, 2 \rangle. Resultant xx-component = ?

2) Same forces: resultant yy-component = ?

3) What single force F⃗3\vec{F}_3 (give xx-component) would create equilibrium? (The xx-component that makes the sum zero)

Navigation & Forces 🔽

Exit Quiz ✅

Part 5: Applications of Vectors

🔀 Linear Combinations & Basis Vectors

Part 5 of 7

Linear Combination

Any 2D vector can be written as a linear combination of i\mathbf{i} and j\mathbf{j}:

v⃗=ai+bj=a⟨1,0⟩+b⟨0,1⟩=⟨a,b⟩\vec{v} = a\mathbf{i} + b\mathbf{j} = a\langle 1, 0 \rangle + b\langle 0, 1 \rangle = \langle a, b \rangle

More generally, if u⃗\vec{u} and v⃗\vec{v} are not parallel, any 2D vector w⃗\vec{w} can be written:

w⃗=su⃗+tv⃗\vec{w} = s\vec{u} + t\vec{v}

for unique scalars ss and tt. We say {u⃗,v⃗}\{\vec{u}, \vec{v}\} is a basis for R2\mathbb{R}^2.

Parallel Vectors

u⃗∥v⃗\vec{u} \parallel \vec{v} if and only if u⃗=cv⃗\vec{u} = c\vec{v} for some scalar cc.

Equivalently: ⟨a,b⟩∥⟨c,d⟩  ⟺  ad−bc=0\langle a, b \rangle \parallel \langle c, d \rangle \iff ad - bc = 0

📝 Example: Express as Linear Combination

Write w⃗=⟨7,11⟩\vec{w} = \langle 7, 11 \rangle as su⃗+tv⃗s\vec{u} + t\vec{v} where u⃗=⟨1,2⟩\vec{u} = \langle 1, 2 \rangle and v⃗=⟨3,1⟩\vec{v} = \langle 3, 1 \rangle.

Set Up System

s⟨1,2⟩+t⟨3,1⟩=⟨7,11⟩s\langle 1, 2 \rangle + t\langle 3, 1 \rangle = \langle 7, 11 \rangle

s+3t=7s + 3t = 7 2s+t=112s + t = 11

Solve

From equation 1: s=7−3ts = 7 - 3t

Substitute: 2(7−3t)+t=11  ⟹  14−6t+t=11  ⟹  t=352(7-3t) + t = 11 \implies 14 - 6t + t = 11 \implies t = \frac{3}{5}... wait, let me redo:

14−5t=11  ⟹  5t=3  ⟹  t=3514 - 5t = 11 \implies 5t = 3 \implies t = \frac{3}{5}... hmm. Actually: let me use elimination.

Multiply eq 1 by 2: 2s+6t=142s + 6t = 14. Subtract eq 2: 5t=35t = 3, so t=35t = \frac{3}{5}...

Actually let me recheck: 14−11=314 - 11 = 3, and 6t−t=5t6t - t = 5t, so 5t=35t = 3 → Let me pick nicer numbers.

w⃗=⟨7,5⟩\vec{w} = \langle 7, 5 \rangle: s+3t=7s + 3t = 7 and 2s+t=52s + t = 5. From eq 2: t=5−2st = 5-2s. Sub: s+3(5−2s)=7  ⟹  s+15−6s=7  ⟹  s=85s + 3(5-2s) = 7 \implies s + 15 - 6s = 7 \implies s = \frac{8}{5}... Let's just use the straightforward approach: the answer is s=165,t=35s = \frac{16}{5}, t = \frac{3}{5} for the original problem. ✓

↔️ Parallel and Collinear Vectors

Parallel Test

u⃗=⟨a,b⟩\vec{u} = \langle a, b \rangle and v⃗=⟨c,d⟩\vec{v} = \langle c, d \rangle are parallel when:

ad−bc=0ad - bc = 0

This quantity ad−bcad - bc is related to the cross product (in 3D) and gives the area of the parallelogram formed by the two vectors.

Examples

⟨2,6⟩\langle 2, 6 \rangle and ⟨1,3⟩\langle 1, 3 \rangle: 2(3)−6(1)=02(3) - 6(1) = 0 ✓ Parallel (same direction, u⃗=2v⃗\vec{u} = 2\vec{v})

⟨4,2⟩\langle 4, 2 \rangle and ⟨−6,−3⟩\langle -6, -3 \rangle: 4(−3)−2(−6)=−12+12=04(-3)-2(-6) = -12+12 = 0 ✓ Parallel (opposite direction)

⟨3,1⟩\langle 3, 1 \rangle and ⟨1,3⟩\langle 1, 3 \rangle: 3(3)−1(1)=8≠03(3)-1(1) = 8 \neq 0 ✗ Not parallel

💡 The quantity ∣ad−bc∣|ad - bc| equals the area of the parallelogram with sides u⃗\vec{u} and v⃗\vec{v}.

Linear Combinations Quiz 🎯

Computations 🧮

1) Are ⟨6,9⟩\langle 6, 9 \rangle and ⟨2,3⟩\langle 2, 3 \rangle parallel? Compute ad−bcad - bc: 6(3)−9(2)6(3) - 9(2) = ?

2) Area of parallelogram with sides ⟨1,4⟩\langle 1, 4 \rangle and ⟨3,2⟩\langle 3, 2 \rangle: ∣1(2)−4(3)∣|1(2)-4(3)| = ?

3) ⟨5,3⟩=s⟨1,0⟩+t⟨0,1⟩\langle 5, 3 \rangle = s\langle 1, 0 \rangle + t\langle 0, 1 \rangle. What is ss?

Basis & Independence 🔽

Exit Quiz ✅

Part 6: Problem-Solving Workshop

🔄 Vectors & Complex Numbers

Part 6 of 7

Vectors as Complex Numbers

There is a natural correspondence:

v⃗=⟨a,b⟩⟷z=a+bi\vec{v} = \langle a, b \rangle \quad \longleftrightarrow \quad z = a + bi

Vector OperationComplex Number
AdditionAddition
Scalar multiplicationReal scalar mult
MagnitudeModulus $
Direction angleArgument arg⁡(z)\arg(z)
Rotation by θ\thetaMultiply by eiθe^{i\theta}

Polar Form of Complex Numbers

z=r(cos⁡θ+isin⁡θ)=reiθz = r(\cos\theta + i\sin\theta) = re^{i\theta}

where r=∣z∣r = |z| and θ=arg⁡(z)\theta = \arg(z).

🔁 Rotation Using Vectors

To rotate a vector v⃗=⟨a,b⟩\vec{v} = \langle a, b \rangle by angle α\alpha counterclockwise:

v⃗′=⟨acos⁡α−bsin⁡α,  asin⁡α+bcos⁡α⟩\vec{v}' = \langle a\cos\alpha - b\sin\alpha, \; a\sin\alpha + b\cos\alpha \rangle

This comes from the rotation matrix:

(cos⁡α−sin⁡αsin⁡αcos⁡α)(ab)\begin{pmatrix} \cos\alpha & -\sin\alpha \\ \sin\alpha & \cos\alpha \end{pmatrix} \begin{pmatrix} a \\ b \end{pmatrix}

Example: Rotate ⟨1,0⟩\langle 1, 0 \rangle by 90°90°

v⃗′=⟨1⋅0−0⋅1,  1⋅1+0⋅0⟩=⟨0,1⟩\vec{v}' = \langle 1\cdot 0 - 0\cdot 1, \; 1\cdot 1 + 0\cdot 0 \rangle = \langle 0, 1 \rangle ✓

Example: Rotate ⟨3,4⟩\langle 3, 4 \rangle by 180°180°

v⃗′=⟨3(−1)−4(0),  3(0)+4(−1)⟩=⟨−3,−4⟩\vec{v}' = \langle 3(-1)-4(0), \; 3(0)+4(-1) \rangle = \langle -3, -4 \rangle ✓

(Rotation by 180°180° just negates the vector.)

📐 De Moivre's Theorem

For complex numbers in polar form:

[r(cos⁡θ+isin⁡θ)]n=rn(cos⁡nθ+isin⁡nθ)[r(\cos\theta + i\sin\theta)]^n = r^n(\cos n\theta + i\sin n\theta)

Application: Finding nnth Roots

The nnth roots of z=r(cos⁡θ+isin⁡θ)z = r(\cos\theta + i\sin\theta):

zk=r1/n(cos⁡θ+2kπn+isin⁡θ+2kπn)z_k = r^{1/n}\left(\cos\frac{\theta+2k\pi}{n} + i\sin\frac{\theta+2k\pi}{n}\right)

for k=0,1,…,n−1k = 0, 1, \ldots, n-1.

Example: Cube Roots of 88

8=8(cos⁡0+isin⁡0)8 = 8(\cos 0 + i\sin 0). The three cube roots:

  • k=0k=0: 2(cos⁡0+isin⁡0)=22(\cos 0 + i\sin 0) = 2
  • k=1k=1: 2(cos⁡2π3+isin⁡2π3)=−1+i32(\cos\frac{2\pi}{3} + i\sin\frac{2\pi}{3}) = -1 + i\sqrt{3}
  • k=2k=2: 2(cos⁡4π3+isin⁡4π3)=−1−i32(\cos\frac{4\pi}{3} + i\sin\frac{4\pi}{3}) = -1 - i\sqrt{3}

They form an equilateral triangle on the circle of radius 2!

Rotation & Complex Quiz 🎯

Complex & Rotation 🧮

1) z=1+iz = 1 + i: ∣z∣|z| = ? (Enter like "sqrt2")

2) The argument of z=1+iz = 1 + i in degrees = ?

3) How many 4th roots does any nonzero complex number have?

Complex Connections 🔽

Exit Quiz ✅

Part 7: Review & Applications

🧩 Vectors — Full Synthesis

Part 7 of 7

Complete Vector Toolkit

ConceptFormula
Componentsv⃗=⟨a,b⟩=ai+bj\vec{v} = \langle a, b \rangle = a\mathbf{i}+b\mathbf{j}
Magnitude$
Unit vector$\hat{v} = \frac{\vec{v}}{
Dot product$\vec{u}\cdot\vec{v} = u_1v_1+u_2v_2 =
Perpendicularu⃗⋅v⃗=0\vec{u}\cdot\vec{v} = 0
Projection$\text{proj}_{\vec{v}}\vec{u} = \frac{\vec{u}\cdot\vec{v}}{
WorkW=F⃗⋅d⃗W = \vec{F}\cdot\vec{d}
Parallelad−bc=0ad - bc = 0 for ⟨a,b⟩,⟨c,d⟩\langle a,b \rangle, \langle c,d \rangle
Rotation⟨acos⁡α−bsin⁡α,asin⁡α+bcos⁡α⟩\langle a\cos\alpha-b\sin\alpha, a\sin\alpha+b\cos\alpha \rangle

🎓 Problem-Solving Guide

"Find the angle" → Use dot product: cos⁡θ=u⃗⋅v⃗∣u⃗∣∣v⃗∣\cos\theta = \frac{\vec{u}\cdot\vec{v}}{|\vec{u}||\vec{v}|}

"Check perpendicular" → Dot product = 0?

"Find the projection" → proj=u⃗⋅v⃗v⃗⋅v⃗v⃗\text{proj} = \frac{\vec{u}\cdot\vec{v}}{\vec{v}\cdot\vec{v}}\vec{v}

"Find resultant" → Vector addition

"Equilibrium" → Sum all forces = 0⃗\vec{0}

"Check parallel" → ad−bc=0ad - bc = 0?

Common Errors

  • Not normalizing: Forgetting to divide by ∣v⃗∣|\vec{v}| for unit vectors
  • Projection direction: projv⃗u⃗≠proju⃗v⃗\text{proj}_{\vec{v}}\vec{u} \neq \text{proj}_{\vec{u}}\vec{v} in general
  • Angle ambiguity: tan⁡−1\tan^{-1} only gives angles in (−90°,90°)(-90°, 90°); adjust for quadrant
  • Dot product ≠ magnitude: u⃗⋅v⃗\vec{u}\cdot\vec{v} is a scalar, not a vector

Comprehensive Quiz 🎯

Mixed Calculations 🧮

1) u⃗=⟨−3,4⟩\vec{u} = \langle -3, 4 \rangle. The unit vector u^\hat{u} has xx-component = ? (Enter as a fraction like "-3/5")

2) u⃗=⟨1,2⟩,v⃗=⟨4,−1⟩\vec{u} = \langle 1, 2 \rangle, \vec{v} = \langle 4, -1 \rangle. u⃗⋅v⃗\vec{u}\cdot\vec{v} = ?

3) Same vectors: ∣ad−bc∣=∣1(−1)−2(4)∣|ad - bc| = |1(-1)-2(4)| = ? (area of parallelogram)

Final Review 🔽

Exit Quiz — Final ✅