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Lesson 26 — Vectors in the Plane

Vector as an object with magnitude, direction, and orientation. Addition, scalar multiplication, decomposition.

Used in: 1.º ano do EM (15–16 anos) · Equiv. Math I japonês §A — Vetores · Equiv. Klasse 11 alemã — Vektoren

v=(v1,v2),v=v12+v22,u+v=(u1+v1,u2+v2)\vec{v} = (v_1, v_2), \quad |\vec{v}| = \sqrt{v_1^2 + v_2^2}, \quad \vec{u} + \vec{v} = (u_1+v_1, u_2+v_2)
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Rigorous notation, full derivation, hypotheses

Vectors in ℝ²

Operations

  • Sum: u+v=(u1+v1,u2+v2)\vec u + \vec v = (u_1 + v_1, u_2 + v_2).
  • Scalar: αv=(αv1,αv2)\alpha \vec v = (\alpha v_1, \alpha v_2).
  • Subtraction: uv=(u1v1,u2v2)\vec u - \vec v = (u_1 - v_1, u_2 - v_2).

Magnitude (norm)

v=v12+v22|\vec v| = \sqrt{v_1^2 + v_2^2}

Unit vector

v^=v/v\hat v = \vec v / |\vec v| has magnitude 1. Versor.

Canonical vectors

ı^=(1,0)\hat\imath = (1, 0), ȷ^=(0,1)\hat\jmath = (0, 1). Every vector: v=v1ı^+v2ȷ^\vec v = v_1 \hat\imath + v_2 \hat\jmath.

Polar form

v=(vcosθ,vsinθ)\vec v = (|\vec v|\cos\theta, |\vec v|\sin\theta) where θ\theta is the angle with the positive xx-axis.

Properties (8 vector-space axioms)

PropertyExpression
Commutativeu+v=v+u\vec u + \vec v = \vec v + \vec u
Associative(u+v)+w=u+(v+w)(\vec u + \vec v) + \vec w = \vec u + (\vec v + \vec w)
Identityv+0=v\vec v + \vec 0 = \vec v
Inversev+(v)=0\vec v + (-\vec v) = \vec 0
Distributive (scalar/vector)α(u+v)=αu+αv\alpha(\vec u + \vec v) = \alpha\vec u + \alpha\vec v
Distributive (vector/scalar)(α+β)v=αv+βv(\alpha + \beta)\vec v = \alpha\vec v + \beta\vec v
Compatibilityα(βv)=(αβ)v\alpha(\beta\vec v) = (\alpha\beta)\vec v
Scalar identity1v=v1 \cdot \vec v = \vec v

These 8 properties characterize a vector space — seen formally in linear algebra (Term 12).

Parallelogram rule

u+v\vec u + \vec v is the diagonal of the parallelogram formed by u\vec u and v\vec v.

Exercise list

35 exercises · 8 with worked solution (25%)

Application 20Understanding 1Modeling 12Challenge 1Proof 1
  1. Ex. 26.1Application
    Compute (3,4)+(1,2)(3, 4) + (1, 2). (Ans: (4,6)(4, 6).)
  2. Ex. 26.2Application
    Compute 2(3,1)2 \cdot (3, -1). (Ans: (6,2)(6, -2).)
  3. Ex. 26.3Application
    Compute (5,7)(2,3)(5, 7) - (2, 3).
  4. Ex. 26.4ApplicationAnswer key
    Magnitude of (3,4)(3, 4). (Ans: 5.)
  5. Ex. 26.5Application
    Magnitude of (5,12)(5, -12). (Ans: 13.)
  6. Ex. 26.6Application
    Unit vector in the direction of (6,8)(6, 8). (Ans: (3/5,4/5)(3/5, 4/5).)
  7. Ex. 26.7ApplicationAnswer key
    For u=(1,2)\vec u = (1, 2), v=(3,1)\vec v = (3, -1): compute u+v\vec u + \vec v, 2uv2\vec u - \vec v, u+v|\vec u + \vec v|.
  8. Ex. 26.8Application
    Show that (3,4)(3, 4) and (3,4)(-3, -4) are opposites.
  9. Ex. 26.9Application
    Decompose v=(5,5)\vec v = (5, 5) on the canonical basis (ı^,ȷ^)(\hat\imath, \hat\jmath).
  10. Ex. 26.10Application
    Vector with the same magnitude as (3,4)(3, 4) but opposite direction.
  11. Ex. 26.11ApplicationAnswer key
    Vector of magnitude 10 in the direction of (3,4)(3, 4). (Ans: (6,8)(6, 8).)
  12. Ex. 26.12Application
    Find v\vec v such that v+(2,1)=(5,7)\vec v + (2, -1) = (5, 7).
  13. Ex. 26.13Application
    Show αv=αv|\alpha \vec v| = |\alpha| |\vec v| for αR\alpha \in \mathbb{R}.
  14. Ex. 26.14Application
    Vector from A=(1,2)A = (1, 2) to B=(5,8)B = (5, 8) is AB\vec{AB}. Compute. (Ans: (4,6)(4, 6).)
  15. Ex. 26.15Application
    Triangle A=(0,0)A = (0,0), B=(4,0)B = (4,0), C=(2,3)C = (2, 3). Compute AB\vec{AB}, BC\vec{BC}, CA\vec{CA} and show that they sum to zero.
  16. Ex. 26.16Application
    Unit vector in the direction of the positive yy-axis: ȷ^=(0,1)\hat\jmath = (0, 1).
  17. Ex. 26.17Application
    For u=(4,3)\vec u = (4, 3), find a perpendicular vector of the same magnitude. (Ans: (3,4)(-3, 4) or (3,4)(3, -4).)
  18. Ex. 26.18Application
    For which kk is (k,3)=5|(k, 3)| = 5? (Ans: k=±4k = \pm 4.)
  19. Ex. 26.19Application
    Find α,β\alpha, \beta such that α(1,0)+β(0,1)=(3,7)\alpha(1, 0) + \beta(0, 1) = (3, 7).
  20. Ex. 26.20Application
    Linear combination w=2u3v\vec w = 2\vec u - 3\vec v with u=(1,2)\vec u = (1,2), v=(1,1)\vec v = (-1, 1).
  21. Ex. 26.21Modeling
    In mechanics, force F1=(3,4)\vec F_1 = (3, 4) N and F2=(1,2)\vec F_2 = (-1, 2) N act on a body. Resultant? (Ans: (2,6)(2, 6) N.)
  22. Ex. 26.22Modeling
    River with current c=(3,0)\vec c = (3, 0) km/h, boat with motor m=(0,4)\vec m = (0, 4) km/h. Resultant velocity. Does the trajectory leave the bank?
  23. Ex. 26.23Modeling
    Aviator at 500 km/h on heading 060°060° NE with 8080 km/h wind from the east. Resultant velocity (magnitude and angle).
  24. Ex. 26.24ModelingAnswer key
    Aircraft trajectory under 2 consecutive winds: v1=(200,100)\vec v_1 = (200, 100) on the first leg, v2=(300,50)\vec v_2 = (300, -50) on the second. Time on each leg: 1h. Final position?
  25. Ex. 26.25Modeling
    In packet routing in a network, a hop vector is (lat, long, lat, long, ...) — model 3 consecutive hops.
  26. Ex. 26.26ModelingAnswer key
    In games, a player at (10,20)(10, 20) moves with velocity (5,3)(5, -3) per second. Position after 4 s? (Ans: (30,8)(30, 8).)
  27. Ex. 26.27Modeling
    Embeddings in ML: word "king" (0.3,0.5,0.2,...)\approx (0.3, 0.5, 0.2, ...), "queen" (0.3,0.6,0.1,...)\approx (0.3, 0.6, 0.1, ...). Vector distance is semantic proximity.
  28. Ex. 26.28Modeling
    In GPS, your position is a 3D vector. Motion is a velocity vector. Instantaneous acceleration reported by the accelerometer: vector.
  29. Ex. 26.29ModelingAnswer key
    In statics, 3 cables pull point PP with forces F1=(5,0)\vec F_1 = (5, 0), F2=(3,4)\vec F_2 = (-3, 4), F3=(?,?)\vec F_3 = (?, ?). For equilibrium, F3=?\vec F_3 = ?. (Ans: (2,4)(-2, -4).)
  30. Ex. 26.30ModelingAnswer key
    In 2D robotics, an arm with 2 segments. First segment in direction u1=(cos30°,sin30°)50\vec u_1 = (\cos 30°, \sin 30°) \cdot 50 cm. Second in direction u2\vec u_2. Final position is u1+u2\vec u_1 + \vec u_2.
  31. Ex. 26.31Modeling
    Drone with 4 motors providing thrusts F1,F2,F3,F4\vec F_1, \vec F_2, \vec F_3, \vec F_4. To hover, the sum must offset gravity G=(0,mg)\vec G = (0, -mg).
  32. Ex. 26.32Modeling
    In quant finance, portfolio return is the linear combination r=w1a+w2b\vec r = w_1 \vec a + w_2 \vec b of asset returns a,b\vec a, \vec b with weights w1,w2w_1, w_2.
  33. Ex. 26.33Understanding
    Show that if u+v=0\vec u + \vec v = \vec 0, then v=u\vec v = -\vec u.
  34. Ex. 26.34Challenge
    A vector v\vec v has magnitude 10 and forms a 60°60° angle with the positive xx-axis. Components? (Ans: (5,53)(5, 5\sqrt 3).)
  35. Ex. 26.35ProofAnswer key
    Prove the triangle inequality u+vu+v|\vec u + \vec v| \leq |\vec u| + |\vec v| via expansion of u+v2|\vec u + \vec v|^2.

Sources

Updated on 2026-04-30 · Author(s): Clube da Matemática

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