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Exercise 10.4 · Q7

Q.Let the vectors a⃗,b⃗,c⃗\vec{a}, \vec{b}, \vec{c} be given as a1i^+a2j^+a3k^a_1\hat{i}+a_2\hat{j}+a_3\hat{k}, b1i^+b2j^+b3k^b_1\hat{i}+b_2\hat{j}+b_3\hat{k}, c1i^+c2j^+c3k^c_1\hat{i}+c_2\hat{j}+c_3\hat{k}. Then show that a⃗×(b⃗+c⃗)=a⃗×b⃗+a⃗×c⃗\vec{a}\times(\vec{b}+\vec{c})=\vec{a}\times\vec{b}+\vec{a}\times\vec{c}.

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The cross product distributes over vector addition because each component of the result is built from linear combinations of the components — the algebra works out exactly like expanding brackets in arithmetic. The proof shows a⃗×(b⃗+c⃗)=a⃗×b⃗+a⃗×c⃗\vec{a}\times(\vec{b}+\vec{c}) = \vec{a}\times\vec{b} + \vec{a}\times\vec{c} by direct component calculation.

The distributive property of the cross product is not something to memorise blindly — it follows from the way the cross product is defined. When you see a⃗×(b⃗+c⃗)\vec{a} \times (\vec{b} + \vec{c}), think: "I am taking the cross product of a⃗\vec{a} with the sum of two vectors." The cross product itself is built from the components using determinants, and determinants are linear in each row. That linearity is the real reason distribution works.

Let’s walk through it step by step.


1. Write the vectors in component form

We have:

a⃗=a1i^+a2j^+a3k^,b⃗=b1i^+b2j^+b3k^,c⃗=c1i^+c2j^+c3k^.\vec{a} = a_1\hat{i} + a_2\hat{j} + a_3\hat{k}, \quad \vec{b} = b_1\hat{i} + b_2\hat{j} + b_3\hat{k}, \quad \vec{c} = c_1\hat{i} + c_2\hat{j} + c_3\hat{k}.

The sum b⃗+c⃗\vec{b} + \vec{c} is simply:

b⃗+c⃗=(b1+c1)i^+(b2+c2)j^+(b3+c3)k^.\vec{b} + \vec{c} = (b_1 + c_1)\hat{i} + (b_2 + c_2)\hat{j} + (b_3 + c_3)\hat{k}.


2. Compute a⃗×(b⃗+c⃗)\vec{a} \times (\vec{b} + \vec{c}) using the determinant formula

The cross product of a⃗\vec{a} with any vector v⃗=v1i^+v2j^+v3k^\vec{v} = v_1\hat{i} + v_2\hat{j} + v_3\hat{k} is:

a⃗×v⃗=∣i^j^k^a1a2a3v1v2v3∣.\vec{a} \times \vec{v} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ a_1 & a_2 & a_3 \\ v_1 & v_2 & v_3 \end{vmatrix}.

So for v⃗=b⃗+c⃗\vec{v} = \vec{b} + \vec{c}, we get:

a⃗×(b⃗+c⃗)=∣i^j^k^a1a2a3b1+c1b2+c2b3+c3∣.\vec{a} \times (\vec{b} + \vec{c}) = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ a_1 & a_2 & a_3 \\ b_1 + c_1 & b_2 + c_2 & b_3 + c_3 \end{vmatrix}.

Expanding the determinant along the first row:

=i^∣a2a3b2+c2b3+c3∣−j^∣a1a3b1+c1b3+c3∣+k^∣a1a2b1+c1b2+c2∣.= \hat{i} \begin{vmatrix} a_2 & a_3 \\ b_2 + c_2 & b_3 + c_3 \end{vmatrix} - \hat{j} \begin{vmatrix} a_1 & a_3 \\ b_1 + c_1 & b_3 + c_3 \end{vmatrix} + \hat{k} \begin{vmatrix} a_1 & a_2 \\ b_1 + c_1 & b_2 + c_2 \end{vmatrix}.


3. Use the linearity of the determinant in each row

Each 2×22 \times 2 determinant splits because the entries in the second row are sums. For example:

∣a2a3b2+c2b3+c3∣=a2(b3+c3)−a3(b2+c2)=(a2b3−a3b2)+(a2c3−a3c2).\begin{vmatrix} a_2 & a_3 \\ b_2 + c_2 & b_3 + c_3 \end{vmatrix} = a_2(b_3 + c_3) - a_3(b_2 + c_2) = (a_2 b_3 - a_3 b_2) + (a_2 c_3 - a_3 c_2).

That is exactly:

∣a2a3b2b3∣+∣a2a3c2c3∣.\begin{vmatrix} a_2 & a_3 \\ b_2 & b_3 \end{vmatrix} + \begin{vmatrix} a_2 & a_3 \\ c_2 & c_3 \end{vmatrix}.

The same holds for the other two determinants. So the whole expression becomes:

a⃗×(b⃗+c⃗)=i^(∣a2a3b2b3∣+∣a2a3c2c3∣)−j^(∣a1a3b1b3∣+∣a1a3c1c3∣)+k^(∣a1a2b1b2∣+∣a1a2c1c2∣).\vec{a} \times (\vec{b} + \vec{c}) = \hat{i} \left( \begin{vmatrix} a_2 & a_3 \\ b_2 & b_3 \end{vmatrix} + \begin{vmatrix} a_2 & a_3 \\ c_2 & c_3 \end{vmatrix} \right) - \hat{j} \left( \begin{vmatrix} a_1 & a_3 \\ b_1 & b_3 \end{vmatrix} + \begin{vmatrix} a_1 & a_3 \\ c_1 & c_3 \end{vmatrix} \right) + \hat{k} \left( \begin{vmatrix} a_1 & a_2 \\ b_1 & b_2 \end{vmatrix} + \begin{vmatrix} a_1 & a_2 \\ c_1 & c_2 \end{vmatrix} \right).


4. Separate into two cross products

Group the terms involving b⃗\vec{b} together and those involving c⃗\vec{c} together: …

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