May I have at least 5 examples from each types of vector

Mathematics

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Here are more examples to illustrate the different types of vectors. For some types, the concept is clear with one or two examples, and providing five distinct ones would be repetitive.

  1. Zero Vector

    A zero vector has all its components equal to zero.

    0⃗=[00]\vec{0} = \begin{bmatrix} 0 \\ 0 \end{bmatrix} 0⃗=[000]\vec{0} = \begin{bmatrix} 0 \\ 0 \\ 0 \end{bmatrix}
  2. Unit Vector

    A vector with a magnitude of 1.

    • For a⃗=[34]\vec{a} = \begin{bmatrix} 3 \\ 4 \end{bmatrix}, its magnitude is ∣∣a⃗∣∣=32+42=5||\vec{a}|| = \sqrt{3^2 + 4^2} = 5. The unit vector is a^=15[34]=[3545]\hat{a} = \frac{1}{5} \begin{bmatrix} 3 \\ 4 \end{bmatrix} = \begin{bmatrix} \frac{3}{5} \\ \frac{4}{5} \end{bmatrix}.
    • For b⃗=[0−7]\vec{b} = \begin{bmatrix} 0 \\ -7 \end{bmatrix}, its magnitude is ∣∣b⃗∣∣=02+(−7)2=7||\vec{b}|| = \sqrt{0^2 + (-7)^2} = 7. The unit vector is b^=17[0−7]=[0−1]\hat{b} = \frac{1}{7} \begin{bmatrix} 0 \\ -7 \end{bmatrix} = \begin{bmatrix} 0 \\ -1 \end{bmatrix}.
    • For c⃗=[122]\vec{c} = \begin{bmatrix} 1 \\ 2 \\ 2 \end{bmatrix}, its magnitude is ∣∣c⃗∣∣=12+22+22=1+4+4=9=3||\vec{c}|| = \sqrt{1^2 + 2^2 + 2^2} = \sqrt{1+4+4} = \sqrt{9} = 3. The unit vector is c^=13[122]=[132323]\hat{c} = \frac{1}{3} \begin{bmatrix} 1 \\ 2 \\ 2 \end{bmatrix} = \begin{bmatrix} \frac{1}{3} \\ \frac{2}{3} \\ \frac{2}{3} \end{bmatrix}.
  3. Position Vector

    Represents the position of a point from the origin.

    • Position vector of point P(2,−1,3)P(2, -1, 3) is OP⃗=[2−13]\vec{OP} = \begin{bmatrix} 2 \\ -1 \\ 3 \end{bmatrix}.
    • Position vector of point Q(−5,0)Q(-5, 0) is OQ⃗=[−50]\vec{OQ} = \begin{bmatrix} -5 \\ 0 \end{bmatrix}.
  4. Displacement Vector

    Represents the change in position from one point to another.

    • From A(1,2,3)A(1, 2, 3) to B(4,0,−1)B(4, 0, -1): AB⃗=[4−10−2−1−3]=[3−2−4]\vec{AB} = \begin{bmatrix} 4-1 \\ 0-2 \\ -1-3 \end{bmatrix} = \begin{bmatrix} 3 \\ -2 \\ -4 \end{bmatrix}
    • From C(0,0)C(0, 0) to D(6,−8)D(6, -8): CD⃗=[6−0−8−0]=[6−8]\vec{CD} = \begin{bmatrix} 6-0 \\ -8-0 \end{bmatrix} = \begin{bmatrix} 6 \\ -8 \end{bmatrix}
  5. Equal Vectors

    Two vectors are equal if they have the same magnitude and direction (i.e., identical components).

    • a⃗=[25]andb⃗=[25]\vec{a} = \begin{bmatrix} 2 \\ 5 \end{bmatrix} \quad \text{and} \quad \vec{b} = \begin{bmatrix} 2 \\ 5 \end{bmatrix} Here, a⃗=b⃗\vec{a} = \vec{b}.
    • p⃗=[−107]andq⃗=[−107]\vec{p} = \begin{bmatrix} -1 \\ 0 \\ 7 \end{bmatrix} \quad \text{and} \quad \vec{q} = \begin{bmatrix} -1 \\ 0 \\ 7 \end{bmatrix} Here, p⃗=q⃗\vec{p} = \vec{q}.
  6. Negative Vector

    Has the same magnitude but opposite direction.

    • If a⃗=[3−21]\vec{a} = \begin{bmatrix} 3 \\ -2 \\ 1 \end{bmatrix}, then −a⃗=[−32−1]-\vec{a} = \begin{bmatrix} -3 \\ 2 \\ -1 \end{bmatrix}.
    • If d⃗=[−40]\vec{d} = \begin{bmatrix} -4 \\ 0 \end{bmatrix}, then −d⃗=[40]-\vec{d} = \begin{bmatrix} 4 \\ 0 \end{bmatrix}.
  7. Collinear Vectors

    Lie on the same line or are parallel. One is a scalar multiple of the other.

    • Let a⃗=[12]\vec{a} = \begin{bmatrix} 1 \\ 2 \end{bmatrix}. If k=3k=3, then b⃗=3a⃗=[36]\vec{b} = 3\vec{a} = \begin{bmatrix} 3 \\ 6 \end{bmatrix}. a⃗\vec{a} and b⃗\vec{b} are collinear.
    • Let e⃗=[2−1]\vec{e} = \begin{bmatrix} 2 \\ -1 \end{bmatrix}. If k=−2k=-2, then f⃗=−2e⃗=[−42]\vec{f} = -2\vec{e} = \begin{bmatrix} -4 \\ 2 \end{bmatrix}. e⃗\vec{e} and f⃗\vec{f} are collinear.
  8. Coplanar Vectors

    Lie on the same plane. Three vectors a⃗\vec{a}, b⃗\vec{b}, and c⃗\vec{c} are coplanar if one can be expressed as a linear combination of the other two.

    • Let a⃗=[100]\vec{a} = \begin{bmatrix} 1 \\ 0 \\ 0 \end{bmatrix}, b⃗=[010]\vec{b} = \begin{bmatrix} 0 \\ 1 \\ 0 \end{bmatrix}, and c⃗=[230]\vec{c} = \begin{bmatrix} 2 \\ 3 \\ 0 \end{bmatrix}. Here, c⃗=2a⃗+3b⃗\vec{c} = 2\vec{a} + 3\vec{b}. All three vectors lie in the xyxy-plane, so they are coplanar.
    • Let u⃗=[111]\vec{u} = \begin{bmatrix} 1 \\ 1 \\ 1 \end{bmatrix}, v⃗=[012]\vec{v} = \begin{bmatrix} 0 \\ 1 \\ 2 \end{bmatrix}, and w⃗=[135]\vec{w} = \begin{bmatrix} 1 \\ 3 \\ 5 \end{bmatrix}. Here, w⃗=1u⃗+2v⃗\vec{w} = 1\vec{u} + 2\vec{v} (since 1(1)+2(0)=11(1)+2(0)=1, 1(1)+2(1)=31(1)+2(1)=3, 1(1)+2(2)=51(1)+2(2)=5). Thus, u⃗\vec{u}, v⃗\vec{v}, and w⃗\vec{w} are coplanar.
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