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The shortest distance between the lines r⃗=(i^+2j^+3k^)+λ(2i^+3j^+4k^)\vec{r} = (\hat{i} + 2\hat{j} + 3\hat{k}) + \lambda(2\hat{i} + 3\hat{j} + 4\hat{k}) and r⃗=(2i^+4j^+5k^)+μ(3i^+4j^+5k^)\vec{r} = (2\hat{i} + 4\hat{j} + 5\hat{k}) + \mu(3\hat{i} + 4\hat{j} + 5\hat{k}) is equal to

Solution

✅ Correct Option: 4

r⃗1=(i^+2j^+3k^)+λ(2i^+3j^+4k^)\vec{r}_1 = (\hat{i} + 2\hat{j} + 3\hat{k}) + \lambda(2\hat{i} + 3\hat{j} + 4\hat{k})

r⃗2=(2i^+4j^+5k^)+μ(3i^+4j^+5k^)\vec{r}_2 = (2\hat{i} + 4\hat{j} + 5\hat{k}) + \mu(3\hat{i} + 4\hat{j} + 5\hat{k})


a⃗1=(1,2,3),b⃗1=(2,3,4)\vec{a}_1 = (1, 2, 3), \quad \vec{b}_1 = (2, 3, 4)

a⃗2=(2,4,5),b⃗2=(3,4,5)\vec{a}_2 = (2, 4, 5), \quad \vec{b}_2 = (3, 4, 5)

The shortest distance formula:

d=∣(a⃗2−a⃗1)⋅(b⃗1×b⃗2)∣∣b⃗1×b⃗2∣d = \dfrac{|(\vec{a}_2 - \vec{a}_1) \cdot (\vec{b}_1 \times \vec{b}_2)|}{|\vec{b}_1 \times \vec{b}_2|}


a⃗2−a⃗1=(1,2,2)\vec{a}_2 - \vec{a}_1 = (1, 2, 2)

b⃗1×b⃗2=∣i^j^k^234345∣\vec{b}_1 \times \vec{b}_2 = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 2 & 3 & 4 \\ 3 & 4 & 5 \end{vmatrix}

=(−1)i^+(2)j^+(−1)k^= (-1)\hat{i} + (2)\hat{j} + (-1)\hat{k}

∣b⃗1×b⃗2∣=1+4+1=6|\vec{b}_1 \times \vec{b}_2| = \sqrt{1 + 4 + 1} = \sqrt{6}


(a⃗2−a⃗1)⋅(b⃗1×b⃗2)=(1)(−1)+(2)(2)+(2)(−1)(\vec{a}_2 - \vec{a}_1) \cdot (\vec{b}_1 \times \vec{b}_2) = (1)(-1) + (2)(2) + (2)(-1)

=−1+4−2=1= -1 + 4 - 2 = 1

d=∣1∣6d = \dfrac{|1|}{\sqrt{6}}

d=16\boxed{d = \dfrac{1}{\sqrt{6}}}

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