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Chapter 10 · Vector Algebra

Example 6: Unit vector along 2i^+3j^+k^2\hat i+3\hat j+\hat k

ExamplesUnit vector in the direction of a vector · Sections 10.5 and 10.5.1
The question

Find unit vector in the direction of vector a⃗=2i^+3j^+k^\vec a = 2\hat i + 3\hat j + \hat k

Exam answer

The unit vector in the direction of a⃗\vec a is a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a⁠.

∣a⃗∣=22+32+12=14\begin{aligned} |\vec a| &= \sqrt{2^2 + 3^2 + 1^2} \\ &= \sqrt{14} \end{aligned} ∴ a^=114(2i^+3j^+k^)\therefore\ \hat a = \frac{1}{\sqrt{14}}(2\hat i + 3\hat j + \hat k)

a^=214i^+314j^+114k^\hat a = \dfrac{2}{\sqrt{14}}\hat i + \dfrac{3}{\sqrt{14}}\hat j + \dfrac{1}{\sqrt{14}}\hat k⁠.

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 number keeps its direction and scales its length. To get length 1, divide by the length: a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a⁠. So the whole problem is: find ∣a⃗∣|\vec a|⁠, then divide every component by it.

Given, to find, and the plan
Given
a⃗=2i^+3j^+k^\vec a = 2\hat i + 3\hat j + \hat k⁠.
To find
The unit vector a^\hat a in the direction of a⃗\vec a⁠.
Plan
(1) Compute ∣a⃗∣|\vec a|⁠. (2) Form a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a and distribute. (3) Check that ∣a^∣=1|\hat a| = 1 and that a^\hat a points the same way as a⃗\vec a⁠.

Basics you need

1Magnitude from components

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

2Multiplying by a scalar

λa⃗\lambda\vec a has magnitude ∣λ∣ ∣a⃗∣|\lambda|\,|\vec a| and the same direction as a⃗\vec a when λ>0\lambda > 0⁠; 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

3The unit vector

For a⃗≠0⃗\vec a \ne \vec 0⁠, a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a is the unit vector in the direction of a⃗\vec a (Section 10.5). Lesson: six kinds of vectors worth naming

Solution

  1. Find the magnitude

    ∣a⃗∣=22+32+12=4+9+1=14.\begin{aligned} |\vec a| &= \sqrt{2^2 + 3^2 + 1^2} \\ &= \sqrt{4 + 9 + 1} = \sqrt{14}. \end{aligned}
    The magnitude of xi^+yj^+zk^x\hat i + y\hat j + z\hat k is the distance from O to the point (x,y,z)(x, y, z)⁠. Here the point is A(2, 3, 1). Since ∣a⃗∣=14≠0|\vec a| = \sqrt{14} \ne 0⁠, a⃗\vec a is not the zero vector, so it has a direction and a unit vector along it exists.
    ∣r⃗∣=x2+y2+z2|\vec r| = \sqrt{x^2 + y^2 + z^2} (Section 10.5.1). Basics: use Pythagoras twice
  2. Divide by the magnitude

    a^=1∣a⃗∣a⃗=114(2i^+3j^+k^).\hat a = \frac{1}{|\vec a|}\vec a = \frac{1}{\sqrt{14}}(2\hat i + 3\hat j + \hat k).
    With λ=1∣a⃗∣>0\lambda = \frac{1}{|\vec a|} > 0⁠, the vector λa⃗\lambda\vec a has the same direction as a⃗\vec a and magnitude λ∣a⃗∣=1∣a⃗∣⋅∣a⃗∣=1\lambda|\vec a| = \frac{1}{|\vec a|}\cdot|\vec a| = 1⁠. That is exactly what "unit vector in the direction of a⃗\vec a" asks for.
    a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a (Section 10.5). Lesson: components
  3. Distribute over the components

    a^=214i^+314j^+114k^.\hat a = \frac{2}{\sqrt{14}}\hat i + \frac{3}{\sqrt{14}}\hat j + \frac{1}{\sqrt{14}}\hat k.

    This is the required unit vector.

    Multiplying a vector by a scalar multiplies each component by that scalar. The answer may also be written 1414(2i^+3j^+k^)\frac{\sqrt{14}}{14}(2\hat i + 3\hat j + \hat k) after rationalising; both forms are the same vector.
    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 (Section 10.5.1 (iv)). Lesson: components
  4. Check the length and the direction

    ∣a^∣2=414+914+114=1414=1.|\hat a|^2 = \frac{4}{14} + \frac{9}{14} + \frac{1}{14} = \frac{14}{14} = 1.

    So ∣a^∣=1|\hat a| = 1⁠, and a^=114a⃗\hat a = \frac{1}{\sqrt{14}}\vec a is a positive multiple of a⃗\vec a⁠, so it points the same way.

    X Y Z O A(2, 3, 1) â a 2 3 1 |a| = √14 ≈ 3.74 |â| = 1
    The vector a⃗=OA→\vec a = \overrightarrow{OA} to A(2, 3, 1) is the diagonal of the box with edges 2, 3 and 1 along the axes (the components, dashed). The unit vector a^\hat a lies along it: the same direction, about 13.74\frac{1}{3.74} of the length. Drawn in a true (orthographic) view with one scale on all three axes.
    These two checks are the two halves of the definition: length 1, and the direction of a⃗\vec a⁠. A common slip (dividing by 14 instead of 14\sqrt{14}⁠) is caught at once, because then the squares add to 14196=114\frac{14}{196} = \frac{1}{14}⁠, not 1.
    A unit vector has magnitude 1 (Section 10.3); ∣λa⃗∣=∣λ∣∣a⃗∣|\lambda\vec a| = |\lambda||\vec a| (Section 10.5). Lesson: six kinds of vectors worth naming
Result

a^=114(2i^+3j^+k^)=214i^+314j^+114k^\hat a = \frac{1}{\sqrt{14}}(2\hat i + 3\hat j + \hat k) = \frac{2}{\sqrt{14}}\hat i + \frac{3}{\sqrt{14}}\hat j + \frac{1}{\sqrt{14}}\hat k⁠.

(Textbook answer: a^=114(2i^+3j^+k^)=214i^+314j^+114k^\hat a = \frac{1}{\sqrt{14}}(2\hat i + 3\hat j + \hat k) = \frac{2}{\sqrt{14}}\hat i + \frac{3}{\sqrt{14}}\hat j + \frac{1}{\sqrt{14}}\hat k⁠.)

Check it with numbers

14≈3.741657\sqrt{14} \approx 3.741657⁠, so a^≈0.534522i^+0.801784j^+0.267261k^\hat a \approx 0.534522\hat i + 0.801784\hat j + 0.267261\hat k⁠. The squares: 0.285714+0.642857+0.071429=1.0000000.285714 + 0.642857 + 0.071429 = 1.000000⁠.

The ratios of the components are unchanged: 0.534522:0.801784:0.267261=2:3:10.534522 : 0.801784 : 0.267261 = 2 : 3 : 1 (each is 114≈0.267261\frac{1}{\sqrt{14}} \approx 0.267261 times 2, 3 and 1), so a^\hat a and a⃗\vec a point the same way.

Common mistakes
  1. Dividing by ∣a⃗∣2=14|\vec a|^2 = 14 instead of ∣a⃗∣=14|\vec a| = \sqrt{14}⁠. The result has length 114\frac{1}{\sqrt{14}}⁠, not 1.
  2. Dividing only one component. Every component is divided by 14\sqrt{14}⁠.
  3. Forgetting the 121^2 for k^\hat k⁠: the magnitude is 4+9+1\sqrt{4 + 9 + 1}⁠, not 13\sqrt{13}⁠.
What to take away
  1. a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a⁠: find the length, then divide every component by it.
  2. Check: the squares of the components of a unit vector add to 1.
  3. A positive scalar multiple keeps the direction; the components keep their ratios.

Every fact used, and where it comes from

FactUsed inSource
∣xi^+yj^+zk^∣=x2+y2+z2|x\hat i + y\hat j + z\hat k| = \sqrt{x^2 + y^2 + z^2}Steps 1, 4Section 10.5.1 (Basics: use Pythagoras twice)
a^=1∣a⃗∣a⃗\hat a = \frac{1}{|\vec a|}\vec a for a⃗≠0⃗\vec a \ne \vec 0⁠; ∣λa⃗∣=∣λ∣∣a⃗∣|\lambda\vec a| = |\lambda||\vec a|Steps 2, 4Section 10.5
λa⃗\lambda\vec a by componentsStep 3Section 10.5.1 (iv) (Lesson: components)
Unit vector: magnitude 1Step 4Section 10.3
The book's working and answerResultExample 6, Section 10.5.1 (Lesson: Examples 4–10)
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