Notes: Restricted Vectors and Vector Algebra

Vector Basics

  • A vector is a quantity that has both magnitude and direction.
  • A vector can be represented by a directed arrow in space, denoted as \vec{A}.
  • Magnitude:
    A=A|\vec{A}| = A
  • Direction is given by the unit vector in the direction of \vec{A}, denoted as \hat{A} = \vec{A}/|\vec{A}|.
  • Therefore, the vector can be written as
    A=AA^.\vec{A} = A \, \hat{A}.
  • Two vectors are identical iff they have the same magnitude and the same direction:
    A=B    A=B and A^=B^.\vec{A} = \vec{B} \iff A = B \text{ and } \, \hat{A} = \, \hat{B}.

Coordinate Systems and Vectors

  • In Cartesian coordinates, the positive directions are described by unit vectors:
    • x-axis: \hat{i},
    • y-axis: \hat{j},
    • z-axis: \hat{k}.
  • A vector in Cartesian form is
    A=A<em>xi^+A</em>yj^+Azk^.\vec{A} = A<em>x \hat{i} + A</em>y \hat{j} + A_z \hat{k}.
  • If the vector lies in the x-y plane, then
    A=A<em>xi^+A</em>yj^,\vec{A} = A<em>x \hat{i} + A</em>y \hat{j},
    with
    A<em>x=Acosθ,A</em>y=Asinθ,A=A<em>x2+A</em>y2.A<em>x = A \cos \theta, \quad A</em>y = A \sin \theta, \quad A = \sqrt{A<em>x^2 + A</em>y^2}.
  • Example (along a unit vector): if the magnitude is 5 and it points in the direction of \hat{i}, then
    A=5i^.\vec{A} = 5 \, \hat{i}.

Examples and Practice Questions (Conceptual)

  • Concept Question 1 (vector quantity from right graph):

    • A. \vec{A} = 5 \cos 30^{\circ} \, \hat{i} + 5 \sin 30^{\circ} \, \hat{j}.
    • B. \vec{A} = \cos 30^{\circ} \, \hat{i} + \sin 30^{\circ} \, \hat{j}.
    • C. \vec{A} = 5 \sin 30^{\circ} \, \hat{i} + 5 \cos 30^{\circ} \, \hat{j}.
    • D. \vec{A} = \sin 30^{\circ} \, \hat{i} + \cos 30^{\circ} \, \hat{j}.
    • Answer (from slide): A.
  • Concept Question 1 - Solution:

    • Correct form for a vector with magnitude 5 and direction given by 30° above the x-axis is
      A=5cos30i^+5sin30j^.\vec{A} = 5 \cos 30^{\circ} \, \hat{i} + 5 \sin 30^{\circ} \, \hat{j}.
  • Concept Question 2 (different angle for same magnitude):

    • A. \vec{A} = 5 \cos 30^{\circ} \, \hat{i} + 5 \sin 30^{\circ} \, \hat{j}.
    • B. \vec{A} = 5 \cos 60^{\circ} \, \hat{i} + 5 \sin 60^{\circ} \, \hat{j}.
    • Answer (from slide): depends on given angle; use the angle from the x-axis.
  • Concept Question 3 (vector components):

    • A. \vec{A} = 5 \, \hat{i} + 2 \, \hat{j}.
    • B. \vec{A} = 2 \, \hat{i} + 5 \, \hat{j}.
  • Concept Question 3 - Solution: (depends on the pictured vector; options shown were A and B).

  • Concept Question 4 (magnitude):

    • A. |\vec{A}| = 5.
    • B. |\vec{A}| = 2.
    • C. |\vec{A}| = \sqrt{5^2 + 2^2}.
    • Answer: |\vec{A}| = \sqrt{5^2 + 2^2}.

Case Problems: Coordinate Expressions of Vectors

  • Case Problem 1: Given a vector of magnitude 5 graphically represented with angle 60° to the negative x-axis (i.e., pointing left and up).
    • Solution:
      A=5cos60(i^)+5sin60j^.\vec{A} = 5 \cos 60^{\circ} \, (-\hat{i}) + 5 \sin 60^{\circ} \, \hat{j}.
    • Numeric form: A=52i^+532j^(2.50,4.33).\vec{A} = -\frac{5}{2} \hat{i} + \frac{5\sqrt{3}}{2} \, \hat{j} \approx (-2.50, 4.33).
  • Case Problem 2: Magnitude 3, angle 45° in Quadrant III (both x and y negative).
    • Solution:
      A=3cos45(i^)+3sin45(j^).\vec{A} = 3 \cos 45^{\circ} \, (-\hat{i}) + 3 \sin 45^{\circ} \, (-\hat{j}).
    • Numeric form:
      A=32i^32j^.\vec{A} = -\frac{3}{\sqrt{2}} \, \hat{i} - \frac{3}{\sqrt{2}} \, \hat{j}.
  • Case Problem 3: Magnitude 3, angle 45° in Quadrant IV (x positive, y negative).
    • Solution:
      A=3cos45i^+3sin45(j^).\vec{A} = 3 \cos 45^{\circ} \hat{i} + 3 \sin 45^{\circ} (-\hat{j}).
    • Numeric form:
      A=32i^32j^.\vec{A} = \frac{3}{\sqrt{2}} \, \hat{i} - \frac{3}{\sqrt{2}} \, \hat{j}.
  • Case Problem 4: General force vector with magnitude F and angle θ in the third quadrant:
    • Solution:
      F=Fsinθ(i^)+Fcosθ(j^).\vec{F} = F \sin \theta \, (-\hat{i}) + F \cos \theta \, (-\hat{j}).
  • Case Problem 5: Vector with magnitude T and angle θ (components relative to +x and +y axes):
    • Solution:
      T=Tcosθi^+Tsinθ(j^).\vec{T} = T \cos \theta \, \hat{i} + T \sin \theta \, (−\hat{j}).
  • Case Problem 6: Given \vec{A} = -3\hat{i} + 4\hat{j}.
    • Magnitude:
      A=(3)2+42=5.|\vec{A}| = \sqrt{(-3)^2 + 4^2} = 5.
    • Angle: since x is negative and y is positive (Quadrant II),
      θ=πtan1(A<em>yA</em>x)=πtan1(43)126.87.\theta = \pi - \tan^{-1}\left(\frac{|A<em>y|}{|A</em>x|}\right) = \pi - \tan^{-1}\left(\frac{4}{3}\right) \approx 126.87^{\circ}.

Coordinate Systems and Vector Addition/Subtraction

  • Vector addition: \vec{A} + \vec{B} = \vec{C}
    • Steps:
      1) Parallelly move the vectors so their tails meet.
      2) Construct a parallelogram.
      3) The resultant vector \vec{C} originates from the tails along the diagonal.
  • Vector subtraction: \vec{A} - \vec{B} = \vec{A} + (-\vec{B}).
    • Steps:
      1) Construct -\vec{B}.
      2) Move tails of \vec{A} and -\vec{B} to meet tails.
      3) Build the parallelogram; the diagonal from the tails is \vec{C} = \vec{A} - \vec{B}.
  • Algebraic form (2D): A=A<em>xi^+A</em>yj^,B=B<em>xi^+B</em>yj^\vec{A} = A<em>x \, \hat{i} + A</em>y \, \hat{j}, \vec{B} = B<em>x \, \hat{i} + B</em>y \, \hat{j}
    • Sum: A+B=(A<em>x+B</em>x)i^+(A<em>y+B</em>y)j^.\vec{A} + \vec{B} = (A<em>x + B</em>x) \, \hat{i} + (A<em>y + B</em>y) \, \hat{j}.
    • Difference: AB=(A<em>xB</em>x)i^+(A<em>yB</em>y)j^.\vec{A} - \vec{B} = (A<em>x - B</em>x) \, \hat{i} + (A<em>y - B</em>y) \, \hat{j}.

Dot Product (Scalar Product)

  • Definition:
    AB=ABcosθ,\vec{A} \cdot \vec{B} = A B \cos \theta,
    where \theta is the angle between the two vectors.
  • Nature: The dot product is a scalar (magnitude only, no direction).
  • Properties:
    • Commutative: \vec{A} \cdot \vec{B} = \vec{B} \cdot \vec{A}.
    • Distributive: \vec{A} \cdot (\vec{C} + \vec{D}) = \vec{A} \cdot \vec{C} + \vec{A} \cdot \vec{D};
      (\vec{A} + \vec{B}) \cdot \vec{C} = \vec{A} \cdot \vec{C} + \vec{B} \cdot \vec{C}.
  • In Cartesian coordinates (2D):
    A=A<em>xi^+A</em>yj^,vecB=B<em>xi^+B</em>yj^\vec{A} = A<em>x \, \hat{i} + A</em>y \, \hat{j}, \\vec{B} = B<em>x \, \hat{i} + B</em>y \, \hat{j}
    AB=A<em>xB</em>x+A<em>yB</em>y.\vec{A} \cdot \vec{B} = A<em>x B</em>x + A<em>y B</em>y.
  • Dot product in physics (example): Work done by a force \vec{F} over displacement \vec{S}:
    W=FS.W = \vec{F} \cdot \vec{S}.
  • Maxwell’s equations reference: https://en.wikipedia.org/wiki/Maxwell%27s_equations (listed as related reading in slides).

Concept Question 6: Dot Product Sign and Angle

  • Three cases compare the dot product magnitude/sign for angles between 0 and \pi:
    • i) 0 < \theta < \tfrac{\pi}{2} (cos positive)
    • ii) \tfrac{\pi}{2} < \theta < \pi (cos negative but magnitude large)
    • iii) \theta = \tfrac{\pi}{2} (cos = 0)
  • Answer: D. ii > iii > i
    • Rationale: cos \theta is positive for 0

Angular Formulas and Magnitude-Angle Conversion

  • Given a vector \vec{A} with components \Ax and \Ay:
    • Component form: A<em>x=Acosθ, A</em>y=Asinθ.A<em>x = A \cos \theta, \ A</em>y = A \sin \theta.
    • Magnitude and angle: A=A<em>x2+A</em>y2, θ=tan1(A<em>yA</em>x).A = \sqrt{A<em>x^2 + A</em>y^2}, \ \theta = \tan^{-1} \left( \frac{A<em>y}{A</em>x} \right).
  • Special considerations for quadrant:
    • If Ax < 0 and Ay > 0, angle lies in quadrant II: θ=πtan1(A<em>yA</em>x).\theta = \pi - \tan^{-1} \left( \frac{|A<em>y|}{|A</em>x|} \right).

Case Problem 6 (Vector in Quadrant II)

  • Given \vec{A} = -3 \,\hat{i} + 4 \,\hat{j}:
    • Magnitude: A=(3)2+42=5.|\vec{A}| = \sqrt{(-3)^2 + 4^2} = 5.
    • Angle: θ=πtan1(43)126.87.\theta = \pi - \tan^{-1} \left(\frac{4}{3}\right) \approx 126.87^{\circ}.

Summary of Key Formulas

  • Vector representation in 3D:
    A=A<em>xi^+A</em>yj^+Azk^.\vec{A} = A<em>x \, \hat{i} + A</em>y \, \hat{j} + A_z \, \hat{k}.
  • In the plane:
    A=A<em>xi^+A</em>yj^,extwithA<em>x=Acosθ,A</em>y=Asinθ,A=A<em>x2+A</em>y2.\vec{A} = A<em>x \, \hat{i} + A</em>y \, \hat{j}, ext{ with } A<em>x = A \cos \theta, A</em>y = A \sin \theta, A = \sqrt{A<em>x^2 + A</em>y^2}.
  • Magnitude-angle relation:
    A=A<em>x2+A</em>y2,θ=tan1(A<em>yA</em>x).A = \sqrt{A<em>x^2 + A</em>y^2}, \quad \theta = \tan^{-1} \left( \frac{A<em>y}{A</em>x} \right).
  • Unit vectors: \hat{i}, \hat{j}, \hat{k}.
  • Dot product:
    AB=ABcosθ,\vec{A} \cdot \vec{B} = A B \cos \theta,
    AB=A<em>xB</em>x+A<em>yB</em>yext(in2D).\vec{A} \cdot \vec{B} = A<em>x B</em>x + A<em>y B</em>y ext{ (in 2D)}.
  • Vector addition/subtraction (component form):
    • Sum: \vec{A} + \vec{B} = (Ax + Bx) \, \hat{i} + (Ay + By) \, \hat{j}.
    • Difference: \vec{A} - \vec{B} = (Ax - Bx) \, \hat{i} + (Ay - By) \, \hat{j}.
  • Work (dot product with displacement):
    W=FS.W = \vec{F} \cdot \vec{S}.