Vectors

Chapter 9: Vectors

Definition of a Vector

  • Vector: A vector in the plane is defined as a line segment with an assigned direction.

  • Notation: Vectors are denoted as AB, where:
      - Point A: Initial point of the vector
      - Point B: Terminal point of the vector

  • Magnitude: The length of the line segment AB is referred to as the magnitude or length of the vector and is denoted by extAB| ext{AB}|.

  • Equality of Vectors: Two vectors are considered equal if they have equal magnitude and the same direction.

Operations on Vectors

Addition of Vectors
  • Given vectors u and v, the sum is defined as:
      u+v=(ux+vx,uy+vy)u + v = (u_{x} + v_{x}, u_{y} + v_{y}).

Scalar Multiplication
  • Let a be a real number and v be a vector. The scalar multiplication is defined as:
      avav is defined as follows:
      - The vector avav has magnitude av|a| |v|.
      - The direction of avav is the same as vv if a > 0, opposite if a < 0, and is the zero vector if a=0a = 0.

Vectors in the Coordinate Plane

  • A vector v can be represented as an ordered pair of real numbers:
      v=(a,b)v = (a, b) where:
      - a: Horizontal component (x-component) of v
      - b: Vertical component (y-component) of v

  • Distinction: It is crucial to distinguish between the vector egin{pmatrix} a \ b \ \ ext{and} \ ext{the point} \ (a, b).

Component Form of Vector
  • If vector v is represented in the plane with initial point P(x1,y1x_1, y_1) and terminal point Q(x2,y2x_2, y_2), then the component form is:
      v=(x2x1,y2y1)v = (x_2 - x_1, y_2 - y_1).

  • In 3D space, if vector v has initial point P(x1,y1,z1x_1, y_1, z_1) and terminal point Q(x2,y2,z2x_2, y_2, z_2), then:
      v=(x2x1,y2y1,z2z1)v = (x_2 - x_1, y_2 - y_1, z_2 - z_1).

Examples of Vectors

Example 1
  1. a) Find the component form of vector u with initial point (−2, 5) and terminal point (3, 7).

  2. b) If vector v = (3, 7) has an initial point (2, 4), determine its terminal point.

  3. c) Sketch vector w = (2, 3) with initial points (0, 0), (2, 2), (−2, −1), and (1, 4).

Conditions for Vector Equality

  • For vectors u = (a1, b1) and v = (a2, b2), the two vectors are equal if:
      a1=a2extandb1=b2a_1 = a_2 ext{ and } b_1 = b_2.

  • In 3D, vectors u = (a1, b1, c1) and v = (a2, b2, c2) are equal if:
      a1=a2,b1=b2,extandc1=c2a_1 = a_2, b_1 = b_2, ext{ and } c_1 = c_2.

Magnitude of a Vector
  • The magnitude or length of a vector v = (a, b) is given by:
      v=extsqrt(a2+b2)|v| = ext{sqrt}(a^2 + b^2).

  • In R3, the magnitude is:
      v=extsqrt(a2+b2+c2)|v| = ext{sqrt}(a^2 + b^2 + c^2).

Example 2
  • Find the magnitude of each vector:
      1. a) u=(2,3)u = (2, -3)
      2. b) v=(5,0)v = (5, 0)
      3. c) w = egin{pmatrix} rac{3}{5} \ rac{4}{5} \ \ ext{(Find the magnitude.)}

Algebraic Operations on Vectors

  • If u = (a1, b1) and v = (a2, b2), then:
      1. u+v=(a1+a2,b1+b2)u + v = (a1 + a2, b1 + b2)
      2. uv=(a1a2,b1b2)u - v = (a1 - a2, b1 - b2)
      3. For scalar c: cu=(ca1,ca2)cu = (ca1, ca2), where $c  R$.

  • In R3, the same operations are defined as:
      u+v=(a1+a2,b1+b2,c1+c2)u + v = (a1 + a2, b1 + b2, c1 + c2)
      uv=(a1a2,b1b2,c1c2)u - v = (a1 - a2, b1 - b2, c1 - c2)
      cu=(ca1,ca2,ca3)cu = (ca1, ca2, ca3).

Example 3
  1. Given u = (2, -3) and v = (-1, 2), calculate:
      - u+vu + v
      - uvu - v
      - 2u3v2u - 3v.

Properties of Vectors

  1. Commutative Property: u+v=v+uu + v = v + u.

  2. Associative Property: u+(v+w)=(u+v)+wu + (v + w) = (u + v) + w.

  3. Identity: u+0=uu + 0 = u, where 0 = (0, 0) is the zero vector.

  4. Inverse: u+(u)=0u + (-u) = 0.

  5. Scalar Multiplication Distributes Over Vector Addition:
      - c(u+v)=cu+cvc(u + v) = cu + cv
      - (c+d)u=cu+du(c + d)u = cu + du.

  6. Associative Property of Scalars:
      - (cd)u=c(du)+d(cu)(cd)u = c(du) + d(cu).

  7. Properties of Scalar 1 and 0:
      - 1u=u1u = u
      - 0u=00u = 0
      - c0=0c0 = 0.

  8. Length Property: cu=cu|cu| = |c||u|.

  9. Triangle Inequality: |u + v|  \leq |u| + |v|.

Unit Vectors

  • Unit Vector: A vector of length 1 is called a unit vector.

  • Definition: A unit vector is defined by:
      u=racuuu = rac{u}{|u|}.

  • Standard Unit Vectors in R2:
      - e1=i=(1,0)e_1 = i = (1, 0)
      - e2=j=(0,1)e_2 = j = (0, 1)

  • Standard Unit Vectors in R3:
      - e1=i=(1,0,0)e_1 = i = (1, 0, 0)
      - e2=j=(0,1,0)e_2 = j = (0, 1, 0)
      - e3=k=(0,0,1)e_3 = k = (0, 0, 1).

Expressions in terms of i and j

  • A vector v can be expressed in terms of i and j as follows:
      v=(a,b)=ai+bjv = (a, b) = ai + bj.

  • In R3, the expression expands to:
      v=(a,b,c)=ai+bj+ckv = (a, b, c) = ai + bj + ck.

Example 4
  1. a) Rewrite vector u = (5, −8) in terms of i and j.

  2. b) If u = 3i + 2j and v = -i + 6j, write 2u+5v2u + 5v in terms of i and j.

Horizontal and Vertical Components of a Vector

  • Let v be a vector with magnitude v|v| and direction hetaheta.

  • The vector can be expressed as:
      v=(a,b)=vcos(θ)i+vsin(θ)jv = (a, b) = |v|cos(θ)i + |v|sin(θ)j

  • Therefore, we can express v as:
      v=(vcos(θ),vsin(θ))v = (|v|cos(θ), |v|sin(θ)).

Example 5
  • A dog runs 4 miles in a direction 30° north of east. Assuming the origin is the dog’s starting point and east is the positive x-axis, determine the coordinates of the dog’s location.

Example 6
  • Find all vector x which satisfy the vector equation:
      2x+5(1,2,4)=(5,12,17)2x + 5(1, −2, 4) = (5, 12, 17).

Example 7
  • For each of the vectors given, find a unit vector which points in the same direction as the vector:
      1. a) (1, 2)
      2. b) (2, 3, -5)

Example 8
  • A flea hops from point (1, 0) to points (2, 1), (3, 0), (1, -2), and finally (-1, -3). Calculate how far the flea has hopped, and find the vector pointing from the flea’s initial position to its final position.

Dot Product of Vectors

  • If u = (a1, b1) and v = (a2, b2) are vectors, then their dot product is defined as:
      u ullet v = a_1a_2 + b_1b_2.

  • Note: The dot product results in a scalar (real number), not a vector.

Example 9
  • Calculate the dot product for:
      1. a) u=(3,2)u = (3, -2) and v=(4,5)v = (4, 5).
      2. b) u=2i+ju = 2i + j and v=5i6jv = 5i - 6j.

Properties of the Dot Product

  1. Commutative: u ullet v = v ullet u.

  2. Associative: (au) ullet v = a(u ullet v) = u ullet (av).

  3. Distributive: (u + v) ullet w = u ullet w + v ullet w.

  4. Length Property: |u|^2 = u ullet u.

Dot Product Theorem

  • If hetaheta is the angle between two nonzero vectors u and v, then:

  • The relationship is given by:
      u ullet v = |u| |v| cos( heta),

  • From this, you can derive:
      cos( heta) = rac{u ullet v}{|u||v|}.

Orthogonal Vectors

  • Two nonzero vectors u and v are considered perpendicular (orthogonal) if and only if:
      u ullet v = 0.

Example 10
  • Find the angle between the vectors:
      1. u=(2,5)u = (2, 5) and v=(4,3)v = (4, -3).

Example 11
  • Identify all unit vectors that are perpendicular to the vector (2, -3).

Example 12
  • An airplane flies from point (1, 1, 3) to point (5, -5, 0.1). The unit distance is one mile. If it takes the plane 4 minutes to make this descent, calculate the descent speed in miles per hour.