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Chapter 10 · Vector Algebra

Exercise 10.2 · Q3: Two different vectors with the same direction

Exercise 10.2Multiplication of a vector by a scalar · Sections 10.5 and 10.5.1
The question

Write two different vectors having same direction.

Exam answer

Let a⃗=i^+2j^+2k^\vec a = \hat i + 2\hat j + 2\hat k and b⃗=2i^+4j^+4k^\vec b = 2\hat i + 4\hat j + 4\hat k⁠.

Then b⃗=2a⃗\vec b = 2\vec a with 2>02 > 0⁠, so b⃗\vec b has the same direction as a⃗\vec a⁠.

∣a⃗∣=1+4+4=3|\vec a| = \sqrt{1 + 4 + 4} = 3 ∣b⃗∣=4+16+16=6|\vec b| = \sqrt{4 + 16 + 16} = 6

As ∣a⃗∣≠∣b⃗∣|\vec a| \ne |\vec b|⁠, a⃗≠b⃗\vec a \ne \vec b⁠.

∴ i^+2j^+2k^\therefore\ \hat i + 2\hat j + 2\hat k and 2i^+4j^+4k^2\hat i + 4\hat j + 4\hat k are two different vectors having the same direction.

Want the reason behind every step, the basics and the checks?

The one idea this problem is built on

Multiplying a vector by a positive scalar λ\lambda keeps its direction and multiplies its length by λ\lambda (Section 10.5). So a⃗\vec a and 2a⃗2\vec a point the same way, but 2a⃗2\vec a is twice as long; with different lengths they cannot be equal. Same direction, different vectors.

Given, to find, and the plan
Given
Nothing but the conditions.
To find
Two vectors a⃗≠b⃗\vec a \ne \vec b with the same direction.
Plan
(1) Pick a nonzero vector a⃗=i^+2j^+2k^\vec a = \hat i + 2\hat j + 2\hat k⁠. (2) Take b⃗=2a⃗\vec b = 2\vec a⁠. (3) Show the magnitudes differ, so a⃗≠b⃗\vec a \ne \vec b⁠. (4) Confirm the directions agree through the unit vectors (direction cosines).

Basics you need

1Multiplying a vector by a scalar

λa⃗\lambda\vec a has the same direction as a⃗\vec a if λ>0\lambda > 0 and the opposite direction if λ<0\lambda < 0⁠; its magnitude is ∣λa⃗∣=∣λ∣ ∣a⃗∣|\lambda\vec a| = |\lambda|\,|\vec a|⁠. In components, λa⃗=(λa1)i^+(λa2)j^+(λa3)k^\lambda\vec a = (\lambda a_1)\hat i + (\lambda a_2)\hat j + (\lambda a_3)\hat k (Sections 10.5 and 10.5.1, (iv)). Lesson: components

2Magnitude

∣xi^+yj^+zk^∣=x2+y2+z2|x\hat i + y\hat j + z\hat k| = \sqrt{x^2 + y^2 + z^2} (Section 10.5.1). Basics: use Pythagoras twice

3Unit vector and direction cosines

The unit vector a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a points in the direction of a⃗\vec a⁠; its components are the direction cosines l,m,nl, m, n of a⃗\vec a (Remark (iii), Section 10.5.1). Two nonzero vectors have the same direction exactly when their unit vectors are equal. Lesson: six kinds of vectors

Solution

  1. Choose the first vector

    Take a⃗=i^+2j^+2k^\vec a = \hat i + 2\hat j + 2\hat k⁠. Its magnitude is

    ∣a⃗∣=12+22+22=9=3.|\vec a| = \sqrt{1^2 + 2^2 + 2^2} = \sqrt9 = 3.
    Any nonzero vector works (the zero vector has no definite direction, so it is no use here). Components 1, 2, 2 give the whole-number length 3, which keeps every later number simple.
    The magnitude formula (Section 10.5.1). Basics: use Pythagoras twice
  2. Multiply by a positive scalar

    Take λ=2\lambda = 2⁠:

    b⃗=2a⃗=2i^+4j^+4k^.\vec b = 2\vec a = 2\hat i + 4\hat j + 4\hat k.

    Since λ=2>0\lambda = 2 > 0⁠, b⃗\vec b has the same direction as a⃗\vec a⁠.

    Doubling a vector stretches the arrow along its own line without turning it. A negative multiplier such as −2-2 would also stay on the same line but would reverse the arrow, giving the opposite direction, so the multiplier must be positive.
    "The vector λa⃗\lambda\vec a has the direction same (or opposite) to that of vector a⃗\vec a according as the value of λ\lambda is positive (or negative)" (Section 10.5). Lesson: components
  3. Show the vectors are different

    The magnitude of b⃗\vec b is

    ∣b⃗∣=22+42+42=36=6=2∣a⃗∣.\begin{aligned} |\vec b| &= \sqrt{2^2 + 4^2 + 4^2} \\ &= \sqrt{36} = 6 = 2|\vec a|. \end{aligned}

    As 6≠36 \ne 3⁠, the vectors have different magnitudes, so a⃗≠b⃗\vec a \ne \vec b (also, their i^\hat i components 1 and 2 differ).

    a (length 3) b = 2a (length 6) same direction, different lengths
    a⃗\vec a and b⃗=2a⃗\vec b = 2\vec a drawn side by side, parallel to one dashed line and to the same scale (40 px per unit). Both arrows point the same way; b⃗\vec b is twice as long, so the two vectors are not equal.
    Equal vectors must have the same magnitude and direction. Here the directions agree but the magnitudes do not, so the vectors are different, exactly as the question requires.
    ∣λa⃗∣=∣λ∣ ∣a⃗∣|\lambda\vec a| = |\lambda|\,|\vec a| (Section 10.5); equal vectors (Section 10.3). Lesson: six kinds of vectors
  4. Confirm the directions agree

    Divide each vector by its magnitude:

    a^=13(i^+2j^+2k^)=13i^+23j^+23k^,b^=16(2i^+4j^+4k^)=13i^+23j^+23k^.\begin{aligned} \hat a &= \tfrac13(\hat i + 2\hat j + 2\hat k) \\ &= \tfrac13\hat i + \tfrac23\hat j + \tfrac23\hat k, \\ \hat b &= \tfrac16(2\hat i + 4\hat j + 4\hat k) \\ &= \tfrac13\hat i + \tfrac23\hat j + \tfrac23\hat k. \end{aligned}

    The unit vectors are equal, so both vectors have direction cosines 13,23,23\frac13, \frac23, \frac23⁠: they make the same angles with the three axes.

    A unit vector keeps only the direction of a vector and throws away its length. Equal unit vectors therefore mean equal directions. This check does not rely on spotting b⃗=2a⃗\vec b = 2\vec a⁠.
    The components of the unit vector are the direction cosines cos⁡α,cos⁡β,cos⁡γ\cos\alpha, \cos\beta, \cos\gamma (Remark (iii), Section 10.5.1). Lesson: components
  5. Why there are infinitely many answers

    For any nonzero a⃗\vec a⁠, every vector λa⃗\lambda\vec a with λ>0\lambda > 0 and λ≠1\lambda \ne 1 has the same direction as a⃗\vec a and a different length. For example, i^+j^\hat i + \hat j and 3i^+3j^3\hat i + 3\hat j⁠, or k^\hat k and 5k^5\hat k⁠.

    There are infinitely many choices of a⃗\vec a and of λ\lambda⁠, so the question has infinitely many correct answers. Any one valid pair, shown to have the same direction and to be different, is a complete answer.
    Collinear vectors in the same direction are positive multiples of each other (Section 10.5). Lesson: components
Result

For example, a⃗=i^+2j^+2k^\vec a = \hat i + 2\hat j + 2\hat k and b⃗=2i^+4j^+4k^\vec b = 2\hat i + 4\hat j + 4\hat k⁠: b⃗=2a⃗\vec b = 2\vec a with 2>02 > 0⁠, so they have the same direction (direction cosines 13,23,23\frac13, \frac23, \frac23⁠), but ∣a⃗∣=3|\vec a| = 3 and ∣b⃗∣=6|\vec b| = 6⁠, so a⃗≠b⃗\vec a \ne \vec b⁠. Any a⃗\vec a and λa⃗\lambda\vec a with λ>0\lambda > 0⁠, λ≠1\lambda \ne 1⁠, is also correct.

(Textbook answer: an infinite number of possible answers.)

Check it with numbers

Ratios of components: 21=42=42=2\frac21 = \frac42 = \frac42 = 2⁠, one positive ratio, so b⃗=2a⃗\vec b = 2\vec a⁠. Direction cosines: 13≈0.3333\frac13 \approx 0.3333 and 23≈0.6667\frac23 \approx 0.6667⁠, with 19+49+49=1\frac19 + \frac49 + \frac49 = 1⁠. The angles with the axes are cos⁡−113≈70.53∘\cos^{-1}\frac13 \approx 70.53^\circ⁠, cos⁡−123≈48.19∘\cos^{-1}\frac23 \approx 48.19^\circ and 48.19∘48.19^\circ⁠, the same for both vectors.

Common mistakes
  1. Using a negative multiplier. a⃗\vec a and −2a⃗-2\vec a are collinear but point in opposite directions.
  2. Using λ=1\lambda = 1⁠. Then b⃗=a⃗\vec b = \vec a⁠, the same vector, not two different ones.
  3. Changing the components unevenly. i^+2j^+2k^\hat i + 2\hat j + 2\hat k and 2i^+4j^+3k^2\hat i + 4\hat j + 3\hat k do not point the same way: the ratios 2,2,322, 2, \frac32 are not all equal.
What to take away
  1. Same direction means a positive scalar multiple: b⃗=λa⃗\vec b = \lambda\vec a⁠, λ>0\lambda > 0⁠.
  2. Two vectors with the same direction are equal only if their magnitudes are also equal.
  3. Equal unit vectors (equal direction cosines) is a sure test of equal direction.

Every fact used, and where it comes from

FactUsed inSource
λa⃗\lambda\vec a⁠: same direction for λ>0\lambda > 0⁠, opposite for λ<0\lambda < 0⁠; ∣λa⃗∣=∣λ∣∣a⃗∣|\lambda\vec a| = |\lambda||\vec a|Steps 2, 3, 5Section 10.5
λa⃗=(λa1)i^+(λa2)j^+(λa3)k^\lambda\vec a = (\lambda a_1)\hat i + (\lambda a_2)\hat j + (\lambda a_3)\hat kStep 2Section 10.5.1, (iv)
∣xi^+yj^+zk^∣=x2+y2+z2|x\hat i + y\hat j + z\hat k| = \sqrt{x^2 + y^2 + z^2}Steps 1, 3Section 10.5.1 (Basics: Pythagoras twice)
Equal vectors: same magnitude and directionStep 3Section 10.3 (Lesson: six kinds of vectors)
a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a⁠; its components are the direction cosinesStep 4Section 10.5; Remark (iii), Section 10.5.1
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