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Chapter 10 · Vector Algebra

Example 22: ∣a⃗×b⃗∣|\vec a\times\vec b| for 2i^+j^+3k^2\hat i+\hat j+3\hat k⁠, 3i^+5j^−2k^3\hat i+5\hat j-2\hat k

ExamplesVector product in components · Section 10.6.3
The question

Find ∣a⃗×b⃗∣|\vec a\times\vec b|⁠, if a⃗=2i^+j^+3k^\vec a = 2\hat i + \hat j + 3\hat k and b⃗=3i^+5j^−2k^\vec b = 3\hat i + 5\hat j - 2\hat k

Exam answer a⃗×b⃗=∣i^j^k^21335−2∣=i^(−2−15)−(−4−9)j^+(10−3)k^=−17i^+13j^+7k^\begin{aligned} \vec a\times\vec b &= \begin{vmatrix} \hat i & \hat j & \hat k \\ 2 & 1 & 3 \\ 3 & 5 & -2 \end{vmatrix} \\ &= \hat i(-2 - 15) - (-4 - 9)\hat j \\ &\quad + (10 - 3)\hat k \\ &= -17\hat i + 13\hat j + 7\hat k \end{aligned} ∣a⃗×b⃗∣=(−17)2+132+72=289+169+49=507=169×3\begin{aligned} |\vec a\times\vec b| &= \sqrt{(-17)^2 + 13^2 + 7^2} \\ &= \sqrt{289 + 169 + 49} \\ &= \sqrt{507} = \sqrt{169 \times 3} \end{aligned}

∴ ∣a⃗×b⃗∣=507=133\therefore\ |\vec a\times\vec b| = \sqrt{507} = 13\sqrt3⁠.

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

The one idea this problem is built on

In components, the vector product is a determinant with i^,j^,k^\hat i, \hat j, \hat k in the top row and the components of a⃗\vec a and b⃗\vec b below:

a⃗×b⃗=∣i^j^k^a1a2a3b1b2b3∣.\vec a\times\vec b = \begin{vmatrix} \hat i & \hat j & \hat k \\ a_1 & a_2 & a_3 \\ b_1 & b_2 & b_3 \end{vmatrix}.

Expand it along the top row to get a⃗×b⃗\vec a\times\vec b as a vector, then take its length.

Given, to find, and the plan
Given
a⃗=2i^+j^+3k^\vec a = 2\hat i + \hat j + 3\hat k and b⃗=3i^+5j^−2k^\vec b = 3\hat i + 5\hat j - 2\hat k⁠.
To find
∣a⃗×b⃗∣|\vec a\times\vec b|⁠.
Plan
(1) Write the determinant. (2) Expand it along the top row. (3) Check the answer is perpendicular to a⃗\vec a and b⃗\vec b⁠. (4) Take the length. (5) See it as the area of the parallelogram on a⃗\vec a and b⃗\vec b⁠, and check it a second way.

Basics you need

1Vector product in components

For a⃗=a1i^+a2j^+a3k^\vec a = a_1\hat i + a_2\hat j + a_3\hat k and b⃗=b1i^+b2j^+b3k^\vec b = b_1\hat i + b_2\hat j + b_3\hat k⁠, a⃗×b⃗\vec a\times\vec b is the determinant above, which equals (a2b3−a3b2)i^(a_2b_3 - a_3b_2)\hat i −(a1b3−a3b1)j^- (a_1b_3 - a_3b_1)\hat j +(a1b2−a2b1)k^+ (a_1b_2 - a_2b_1)\hat k (Section 10.6.3). Lesson: the cross product

2Expanding a 3 by 3 determinant

Along the top row: each entry times its 2 by 2 minor, with the signs +,−,++, -, +⁠. A 2 by 2 determinant is ∣pqrs∣=ps−qr\begin{vmatrix} p & q \\ r & s \end{vmatrix} = ps - qr⁠. Basics: a determinant measures a signed area

3Magnitude from components

∣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

4What the length measures

∣a⃗×b⃗∣=∣a⃗∣∣b⃗∣sin⁡θ|\vec a\times\vec b| = |\vec a||\vec b|\sin\theta is the area of the parallelogram with adjacent sides a⃗\vec a and b⃗\vec b (Definition 3 and Observation 9, Section 10.6.3). Lesson: Examples 22–25

Solution

  1. Set up the determinant

    a⃗×b⃗=∣i^j^k^21335−2∣.\vec a\times\vec b = \begin{vmatrix} \hat i & \hat j & \hat k \\ 2 & 1 & 3 \\ 3 & 5 & -2 \end{vmatrix}.
    The second row holds the components of a⃗\vec a (the first vector) and the third row those of b⃗\vec b⁠. The order matters: swapping the two rows gives b⃗×a⃗=−a⃗×b⃗\vec b\times\vec a = -\vec a\times\vec b⁠, the opposite vector (though with the same length).
    The determinant form of a⃗×b⃗\vec a\times\vec b (Section 10.6.3). Lesson: the cross product
  2. Expand along the top row

    a⃗×b⃗=i^∣135−2∣−j^∣233−2∣+k^∣2135∣=i^(−2−15)−(−4−9)j^+(10−3)k^=−17i^+13j^+7k^.\begin{aligned} \vec a\times\vec b &= \hat i\begin{vmatrix} 1 & 3 \\ 5 & -2 \end{vmatrix} - \hat j\begin{vmatrix} 2 & 3 \\ 3 & -2 \end{vmatrix} \\ &\quad + \hat k\begin{vmatrix} 2 & 1 \\ 3 & 5 \end{vmatrix} \\ &= \hat i(-2 - 15) - (-4 - 9)\hat j \\ &\quad + (10 - 3)\hat k \\ &= -17\hat i + 13\hat j + 7\hat k. \end{aligned}
    Cover the row and column of each top entry and take the 2 by 2 determinant that is left: for i^\hat i⁠, (1)(−2)−(3)(5)=−2−15(1)(-2) - (3)(5) = -2 - 15⁠; for j^\hat j⁠, (2)(−2)−(3)(3)=−4−9(2)(-2) - (3)(3) = -4 - 9⁠; for k^\hat k⁠, (2)(5)−(1)(3)=10−3(2)(5) - (1)(3) = 10 - 3⁠. The middle term carries a minus sign, so −(−13)=+13-(-13) = +13⁠.
    Expansion along the first row, signs +,−,++, -, +⁠. Basics: a determinant measures a signed area
  3. Check: the answer is perpendicular to both vectors

    (a⃗×b⃗)⋅a⃗=−34+13+21=0,(a⃗×b⃗)⋅b⃗=−51+65−14=0.\begin{aligned} (\vec a\times\vec b)\cdot\vec a &= -34 + 13 + 21 = 0, \\ (\vec a\times\vec b)\cdot\vec b &= -51 + 65 - 14 = 0. \end{aligned}
    The products are (−17)(2)=−34(-17)(2) = -34⁠, (13)(1)=13(13)(1) = 13⁠, (7)(3)=21(7)(3) = 21 for a⃗\vec a⁠, and (−17)(3)=−51(-17)(3) = -51⁠, (13)(5)=65(13)(5) = 65⁠, (7)(−2)=−14(7)(-2) = -14 for b⃗\vec b⁠. By definition a⃗×b⃗\vec a\times\vec b is perpendicular to both a⃗\vec a and b⃗\vec b⁠, so both scalar products must be 0. A slip in any 2 by 2 minor almost always breaks one of them, so this is a quick and reliable test.
    u⃗⋅v⃗=0\vec u\cdot\vec v = 0 for perpendicular vectors (Section 10.6.1, Observation 2). Lesson: the dot product
  4. The length

    ∣a⃗×b⃗∣=(−17)2+(13)2+(7)2=289+169+49=507.\begin{aligned} |\vec a\times\vec b| &= \sqrt{(-17)^2 + (13)^2 + (7)^2} \\ &= \sqrt{289 + 169 + 49} = \sqrt{507}. \end{aligned}

    Since 507=169×3=132×3507 = 169 \times 3 = 13^2 \times 3⁠, 507=133\sqrt{507} = 13\sqrt3⁠.

    The signs disappear when the components are squared. The book stops at 507\sqrt{507}⁠; taking out the square factor 169 gives the simpler equal form 13313\sqrt3⁠.
    ∣r⃗∣=x2+y2+z2|\vec r| = \sqrt{x^2 + y^2 + z^2} (Section 10.5.1). Basics: use Pythagoras twice
  5. What 507\sqrt{507} measures, and a second check

    ∣a⃗×b⃗∣=∣a⃗∣∣b⃗∣sin⁡θ|\vec a\times\vec b| = |\vec a||\vec b|\sin\theta is the area of the parallelogram with sides a⃗\vec a and b⃗\vec b⁠. Squaring and using sin⁡2θ=1−cos⁡2θ\sin^2\theta = 1 - \cos^2\theta⁠:

    ∣a⃗×b⃗∣2=∣a⃗∣2∣b⃗∣2−(a⃗⋅b⃗)2=(14)(38)−52=532−25=507,\begin{aligned} |\vec a\times\vec b|^2 &= |\vec a|^2|\vec b|^2 - (\vec a\cdot\vec b)^2 \\ &= (14)(38) - 5^2 \\ &= 532 - 25 = 507, \end{aligned}

    because ∣a⃗∣2=4+1+9=14|\vec a|^2 = 4 + 1 + 9 = 14⁠, ∣b⃗∣2=9+25+4=38|\vec b|^2 = 9 + 25 + 4 = 38 and a⃗⋅b⃗=6+5−6=5\vec a\cdot\vec b = 6 + 5 - 6 = 5⁠.

    O a, length √14 b, length √38 height area = |a × b| = √507 ≈ 22.52 θ ≈ 77.48°
    The parallelogram on a⃗\vec a and b⃗\vec b drawn in its own plane, true to scale: base ∣a⃗∣=14|\vec a| = \sqrt{14}⁠, side ∣b⃗∣=38|\vec b| = \sqrt{38}⁠, angle about 77.48∘77.48^\circ⁠. Base times height is 507≈22.52\sqrt{507} \approx 22.52⁠, the length of a⃗×b⃗\vec a\times\vec b⁠.
    This second route uses only the scalar product, so it checks the determinant work independently. The identity comes from ∣a⃗×b⃗∣2=∣a⃗∣2∣b⃗∣2sin⁡2θ|\vec a\times\vec b|^2 = |\vec a|^2|\vec b|^2\sin^2\theta and (a⃗⋅b⃗)2=∣a⃗∣2∣b⃗∣2cos⁡2θ(\vec a\cdot\vec b)^2 = |\vec a|^2|\vec b|^2\cos^2\theta⁠.
    Area of a parallelogram =∣a⃗×b⃗∣= |\vec a\times\vec b| (Section 10.6.3, Observation 9). Lesson: Examples 22–25
Result

a⃗×b⃗=−17i^+13j^+7k^\vec a\times\vec b = -17\hat i + 13\hat j + 7\hat k and ∣a⃗×b⃗∣=507=133|\vec a\times\vec b| = \sqrt{507} = 13\sqrt3⁠.

(Textbook answer: a⃗×b⃗=i^(−2−15)−(−4−9)j^+(10−3)k^\vec a\times\vec b = \hat i(-2 - 15) - (-4 - 9)\hat j + (10 - 3)\hat k =−17i^+13j^+7k^= -17\hat i + 13\hat j + 7\hat k⁠, hence ∣a⃗×b⃗∣=(−17)2+(13)2+(7)2=507|\vec a\times\vec b| = \sqrt{(-17)^2 + (13)^2 + (7)^2} = \sqrt{507}⁠.)

Check it with numbers

507≈22.516660\sqrt{507} \approx 22.516660 and 133≈22.51666013\sqrt3 \approx 22.516660 (the same number).

∣a⃗∣=14≈3.741657|\vec a| = \sqrt{14} \approx 3.741657⁠, ∣b⃗∣=38≈6.164414|\vec b| = \sqrt{38} \approx 6.164414⁠, cos⁡θ=5532≈0.216777\cos\theta = \frac{5}{\sqrt{532}} \approx 0.216777⁠, so θ≈77.48∘\theta \approx 77.48^\circ and sin⁡θ=507532≈0.976221\sin\theta = \frac{\sqrt{507}}{\sqrt{532}} \approx 0.976221⁠.

Then ∣a⃗∣∣b⃗∣sin⁡θ=532⋅507532=507|\vec a||\vec b|\sin\theta = \sqrt{532}\cdot\frac{\sqrt{507}}{\sqrt{532}} = \sqrt{507} exactly.

Common mistakes
  1. Dropping the minus sign on the j^\hat j term. The top-row signs are +,−,++, -, +⁠; forgetting it gives −13j^-13\hat j⁠, and the perpendicularity check then fails.
  2. Crossing the wrong diagonals in a minor. The i^\hat i minor is a2b3−a3b2=(1)(−2)−(3)(5)a_2b_3 - a_3b_2 = (1)(-2) - (3)(5)⁠, not (1)(5)−(3)(−2)(1)(5) - (3)(-2)⁠.
  3. Thinking the order does not matter. b⃗×a⃗=17i^−13j^−7k^\vec b\times\vec a = 17\hat i - 13\hat j - 7\hat k is the opposite vector; the length is the same, but a question asking for the vector needs the right order.
What to take away
  1. a⃗×b⃗\vec a\times\vec b is the determinant with i^,j^,k^\hat i, \hat j, \hat k on top, a⃗\vec a in the middle row and b⃗\vec b at the bottom.
  2. Check the result by dotting it with a⃗\vec a and with b⃗\vec b⁠: both must give 0.
  3. ∣a⃗×b⃗∣|\vec a\times\vec b| is the area of the parallelogram on a⃗\vec a and b⃗\vec b⁠, and ∣a⃗×b⃗∣2=∣a⃗∣2∣b⃗∣2−(a⃗⋅b⃗)2|\vec a\times\vec b|^2 = |\vec a|^2|\vec b|^2 - (\vec a\cdot\vec b)^2⁠.

Every fact used, and where it comes from

FactUsed inSource
a⃗×b⃗\vec a\times\vec b as a determinant in componentsSteps 1, 2Section 10.6.3 (Lesson: the cross product)
Expansion of a determinant along a rowStep 2Determinants (Chapter 4) (Basics: a determinant measures a signed area)
a⃗×b⃗\vec a\times\vec b is perpendicular to a⃗\vec a and b⃗\vec b⁠; b⃗×a⃗=−a⃗×b⃗\vec b\times\vec a = -\vec a\times\vec bSteps 1, 3Section 10.6.3, Definition 3 and Observation 6
u⃗⋅v⃗\vec u\cdot\vec v in components; zero for perpendicular vectorsSteps 3, 5Section 10.6.1 and its Observation 2
∣xi^+yj^+zk^∣=x2+y2+z2|x\hat i + y\hat j + z\hat k| = \sqrt{x^2 + y^2 + z^2}Steps 4, 5Section 10.5.1
Area of a parallelogram =∣a⃗×b⃗∣=∣a⃗∣∣b⃗∣sin⁡θ= |\vec a\times\vec b| = |\vec a||\vec b|\sin\thetaStep 5Section 10.6.3, Definition 3 and Observation 9
sin⁡2θ+cos⁡2θ=1\sin^2\theta + \cos^2\theta = 1Step 5Trigonometry (Basics: cos θ is a shadow)
The book's working and answerResultExample 22, Section 10.6.3 (Lesson: Examples 22–25)
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