Vector Algebra • Topic 3 of 3

Vector (Cross) Product

The vector (cross) product of two vectors is itself a vector, perpendicular to both, defined by

$$\vec a\times\vec b=|\vec a|\,|\vec b|\sin\theta\,\hat n,$$

where $\theta$ ($0\le\theta\le\pi$) is the angle between them and $\hat n$ is the unit vector perpendicular to the plane of $\vec a,\vec b$, with direction given by the right-hand rule. In components it is most easily computed as a determinant:

$$\vec a\times\vec b=\begin{vmatrix}\hat i&\hat j&\hat k\\a_1&a_2&a_3\\b_1&b_2&b_3\end{vmatrix}=(a_2b_3-a_3b_2)\hat i-(a_1b_3-a_3b_1)\hat j+(a_1b_2-a_2b_1)\hat k.$$

Properties

  • Anti-commutative: $\vec a\times\vec b=-(\vec b\times\vec a)$.
  • Not associative in general: $\vec a\times(\vec b\times\vec c)\ne(\vec a\times\vec b)\times\vec c$.
  • Distributive: $\vec a\times(\vec b+\vec c)=\vec a\times\vec b+\vec a\times\vec c$; and $(\lambda\vec a)\times\vec b=\lambda(\vec a\times\vec b)$.
  • Parallel test: $\vec a\parallel\vec b\iff\vec a\times\vec b=\vec 0$; in particular $\vec a\times\vec a=\vec 0$.
  • Standard basis (right-handed): $\hat i\times\hat j=\hat k,\ \hat j\times\hat k=\hat i,\ \hat k\times\hat i=\hat j$ (reverse the order to flip the sign).
  • Magnitude: $|\vec a\times\vec b|=|\vec a||\vec b|\sin\theta$, so $\sin\theta=\dfrac{|\vec a\times\vec b|}{|\vec a||\vec b|}$.

Areas, unit normals and the Lagrange identity

The magnitude of the cross product is a geometric area:

$$\text{Area of parallelogram with sides }\vec a,\vec b=|\vec a\times\vec b|,\qquad \text{Area of triangle}=\tfrac12|\vec a\times\vec b|.$$

For a triangle with vertices $A,B,C$ take $\vec a=\overrightarrow{AB},\ \vec b=\overrightarrow{AC}$. A unit vector perpendicular to both $\vec a$ and $\vec b$ is $\hat n=\dfrac{\vec a\times\vec b}{|\vec a\times\vec b|}$ (the other choice is its negative). The Lagrange identity $|\vec a\times\vec b|^2+(\vec a\cdot\vec b)^2=|\vec a|^2|\vec b|^2$ links the two products and is handy when one of $\sin\theta,\cos\theta$ is known.

Scalar triple product

The scalar triple product of three vectors is the scalar

$$[\,\vec a\ \vec b\ \vec c\,]=\vec a\cdot(\vec b\times\vec c)=\begin{vmatrix}a_1&a_2&a_3\\b_1&b_2&b_3\\c_1&c_2&c_3\end{vmatrix}.$$

Geometrically its absolute value is the volume of the parallelepiped with the three vectors as coterminous edges (and a tetrahedron on the same edges has volume $\tfrac16\,|[\,\vec a\ \vec b\ \vec c\,]|$). The product is unchanged by a cyclic shift, $[\,\vec a\ \vec b\ \vec c\,]=[\,\vec b\ \vec c\ \vec a\,]=[\,\vec c\ \vec a\ \vec b\,]$, and the dot and cross may be swapped: $\vec a\cdot(\vec b\times\vec c)=(\vec a\times\vec b)\cdot\vec c$.

Coplanarity condition

Three vectors lie in one plane exactly when the parallelepiped they span is flat (zero volume):

$$\vec a,\vec b,\vec c\text{ are coplanar}\iff[\,\vec a\ \vec b\ \vec c\,]=0.$$

Equivalently the $3\times3$ determinant of their components is zero. If any two of the three vectors are equal or parallel, the scalar triple product is automatically $0$.

Deeper Insight — cross product manufactures the perpendicular. The dot product collapses two vectors into a number; the cross product builds a brand-new vector at right angles to both, with length equal to the area they sweep out. That is exactly what you need for a normal to a plane, the axis of a rotation, or torque $\vec\tau=\vec r\times\vec F$ in physics. The determinant form is not a trick to memorise — it is the bookkeeping that keeps the $\hat i,\hat j,\hat k$ pattern straight, and the same determinant, with a dot in front, becomes the triple product (a volume). Carry one picture: cross $=$ area-and-perpendicular, triple product $=$ volume, and the algebra falls out.

Cross product a cross b is perpendicular to the plane of a and b; its magnitude equals the area of the parallelogram Cross product: a × b ⊥ plane of a, b a b θ a × b |a × b| = |a||b| sinθ = area of parallelogram Direction by the right-hand rule: curl fingers a → b, thumb points along a × b.
1
Worked Example
Find $\vec a\times\vec b$ for $\vec a=\hat i+\hat j$, $\vec b=\hat j+\hat k$.
Solution

$\vec a\times\vec b=\begin{vmatrix}\hat i&\hat j&\hat k\\1&1&0\\0&1&1\end{vmatrix}=\hat i(1\cdot1-0\cdot1)-\hat j(1\cdot1-0\cdot0)+\hat k(1\cdot1-1\cdot0)=\hat i-\hat j+\hat k.$

Answer: $\hat i-\hat j+\hat k$

2
Worked Example
Find the area of the parallelogram with adjacent sides $\vec a=\hat i+\hat j$ and $\vec b=\hat j+\hat k$.
Solution

From Example 1, $\vec a\times\vec b=\hat i-\hat j+\hat k$, so area $=|\vec a\times\vec b|=\sqrt{1+1+1}=\sqrt3$ square units.

Answer: $\sqrt3$ square units

3
Worked Example
Are $\vec a=2\hat i+4\hat j$ and $\vec b=\hat i+2\hat j$ parallel?
Solution

$\vec a=2\vec b$, so they are parallel. Check: $\vec a\times\vec b=\begin{vmatrix}\hat i&\hat j&\hat k\\2&4&0\\1&2&0\end{vmatrix}=\vec 0$, confirming parallelism.

Answer: Yes, they are parallel (since $\vec a=2\vec b$ and $\vec a\times\vec b=\vec 0$).

4
Worked Example
Find the area of the triangle with sides $\vec a=\hat i+\hat j$, $\vec b=\hat j+\hat k$.
Solution

Area $=\tfrac12|\vec a\times\vec b|=\tfrac12\sqrt3=\dfrac{\sqrt3}{2}$ square units.

Answer: $\dfrac{\sqrt3}{2}$ square units

5
Worked Example
Find a unit vector perpendicular to both $\vec a=\hat i+\hat j$ and $\vec b=\hat j+\hat k$.
Solution

From Example 1, $\vec a\times\vec b=\hat i-\hat j+\hat k$ with magnitude $\sqrt3$. So $\hat n=\dfrac{1}{\sqrt3}(\hat i-\hat j+\hat k).$

Answer: $\hat n=\dfrac{1}{\sqrt3}(\hat i-\hat j+\hat k)$

6
Worked Example
Find $\vec a\times\vec b$ for $\vec a=2\hat i-\hat j+\hat k$, $\vec b=\hat i+\hat j-2\hat k$, and a unit vector perpendicular to both.
Solution

$\vec a\times\vec b=\begin{vmatrix}\hat i&\hat j&\hat k\\2&-1&1\\1&1&-2\end{vmatrix}=\hat i(2-1)-\hat j(-4-1)+\hat k(2+1)=\hat i+5\hat j+3\hat k.$ Its magnitude is $\sqrt{1+25+9}=\sqrt{35}$, so $\hat n=\dfrac{1}{\sqrt{35}}(\hat i+5\hat j+3\hat k).$

Answer: $\vec a\times\vec b=\hat i+5\hat j+3\hat k,\ \hat n=\dfrac{1}{\sqrt{35}}(\hat i+5\hat j+3\hat k)$

7
Worked Example
Find the area of the triangle with vertices $A(1,1,1),\ B(1,2,3),\ C(2,3,1)$.
Solution

$\overrightarrow{AB}=\hat j+2\hat k$ and $\overrightarrow{AC}=\hat i+2\hat j$. Then $\overrightarrow{AB}\times\overrightarrow{AC}=\begin{vmatrix}\hat i&\hat j&\hat k\\0&1&2\\1&2&0\end{vmatrix}=\hat i(0-4)-\hat j(0-2)+\hat k(0-1)=-4\hat i+2\hat j-\hat k.$ Magnitude $=\sqrt{16+4+1}=\sqrt{21}$, so area $=\tfrac12\sqrt{21}=\dfrac{\sqrt{21}}{2}$ sq units.

Answer: $\dfrac{\sqrt{21}}{2}$ sq units

8
Worked Example
If $|\vec a|=2,\ |\vec b|=3$ and the angle between them is $30^\circ$, find $|\vec a\times\vec b|$.
Solution

$|\vec a\times\vec b|=|\vec a||\vec b|\sin\theta=2\cdot3\cdot\sin30^\circ=6\cdot\tfrac12=3.$

Answer: $|\vec a\times\vec b|=3$

9
Worked Example
If $|\vec a|=10,\ |\vec b|=2$ and $\vec a\cdot\vec b=12$, find $|\vec a\times\vec b|$.
Solution

By the Lagrange identity, $|\vec a\times\vec b|^2=|\vec a|^2|\vec b|^2-(\vec a\cdot\vec b)^2=100\cdot4-144=400-144=256$. So $|\vec a\times\vec b|=16.$

Answer: $|\vec a\times\vec b|=16$

10
Worked Example
Evaluate the scalar triple product $[\,\vec a\ \vec b\ \vec c\,]$ for $\vec a=\hat i,\ \vec b=\hat j,\ \vec c=\hat k$.
Solution

$[\,\vec a\ \vec b\ \vec c\,]=\vec a\cdot(\vec b\times\vec c)=\hat i\cdot(\hat j\times\hat k)=\hat i\cdot\hat i=1.$ (The unit cube has volume $1$.)

Answer: $[\,\vec a\ \vec b\ \vec c\,]=1$

11
Worked Example
Find the volume of the parallelepiped with coterminous edges $\vec a=\hat i+\hat j,\ \vec b=\hat j+\hat k,\ \vec c=\hat k+\hat i$.
Solution

$[\,\vec a\ \vec b\ \vec c\,]=\begin{vmatrix}1&1&0\\0&1&1\\1&0&1\end{vmatrix}=1(1-0)-1(0-1)+0=1+1=2.$ The volume is $|2|=2$ cubic units.

Answer: $2$ cubic units

12
Worked Example
Show that $\vec a=\hat i+2\hat j+3\hat k,\ \vec b=2\hat i+\hat j+\hat k,\ \vec c=3\hat i+3\hat j+4\hat k$ are coplanar.
Solution

$[\,\vec a\ \vec b\ \vec c\,]=\begin{vmatrix}1&2&3\\2&1&1\\3&3&4\end{vmatrix}=1(4-3)-2(8-3)+3(6-3)=1-10+9=0.$ Since the scalar triple product is $0$, the three vectors are coplanar.

Answer: The vectors are coplanar (since $[\,\vec a\ \vec b\ \vec c\,]=0$).

Key Points

  • $\vec a\times\vec b=|\vec a||\vec b|\sin\theta\,\hat n$ is a vector $\perp$ both; compute via the $\begin{vmatrix}\hat i&\hat j&\hat k\\ \ldots\end{vmatrix}$ determinant.
  • Anti-commutative ($\vec a\times\vec b=-\vec b\times\vec a$), distributive, and $\vec a\times\vec a=\vec 0$; basis: $\hat i\times\hat j=\hat k$ cyclically.
  • Parallel test: $\vec a\parallel\vec b\iff\vec a\times\vec b=\vec 0$; and $\sin\theta=\dfrac{|\vec a\times\vec b|}{|\vec a||\vec b|}$.
  • Area: parallelogram $=|\vec a\times\vec b|$, triangle $=\tfrac12|\vec a\times\vec b|$; unit normal $\hat n=\dfrac{\vec a\times\vec b}{|\vec a\times\vec b|}$.
  • Lagrange identity: $|\vec a\times\vec b|^2+(\vec a\cdot\vec b)^2=|\vec a|^2|\vec b|^2$.
  • Scalar triple product $[\,\vec a\ \vec b\ \vec c\,]=\vec a\cdot(\vec b\times\vec c)=$ the $3\times3$ determinant $=$ signed volume of the parallelepiped.
  • It is cyclic-invariant and dot/cross interchangeable; tetrahedron volume $=\tfrac16|[\,\vec a\ \vec b\ \vec c\,]|$.
  • Coplanarity: $\vec a,\vec b,\vec c$ are coplanar $\iff[\,\vec a\ \vec b\ \vec c\,]=0$.
Tap an option to check your answer0 / 4
Q1.The cross product of two vectors is a:
Explanation: Cross product yields a vector.
Q2.$\vec a\times\vec b=\vec 0$ means the vectors are:
Explanation: Zero cross product $\Rightarrow$ parallel.
Q3.$|\vec a\times\vec b|$ represents the area of a:
Explanation: Parallelogram with sides $\vec a,\vec b$; triangle is half.
Q4.$\vec a\times\vec b$ compared with $\vec b\times\vec a$ is:
Explanation: Anti-commutative.