3D Geometry
Shortest Distance (Vector Form) — Finding m+n
nta_pyq_2024_apr
Grade Class 11

Question:

If the shortest distance between the lines $L_1:\vec{r}=(2+\lambda)\hat{i}+(1-3\lambda)\hat{j}+(3+4\lambda)\hat{k}$, $\lambda\in\mathbb{R}$ and $L_2:\vec{r}=2(1+\mu)\hat{i}+3(1+\mu)\hat{j}+(5+\mu)\hat{k}$, $\mu\in\mathbb{R}$ is $\dfrac{m}{\sqrt{n}}$, where $\gcd(m,n)=1$, then the value of $m+n$ equals:
390
384
377
387

Step-by-Step Solution

Key Concept: $L_1$ through $A(2,1,3)$ with direction $\vec{p}=(1,-3,4)$. $L_2$ through $B(2,3,5)$ with direction $\vec{q}=(2,3,1)$. $\overrightarrow{AB}=(0,2,2)$. $\vec{p}\times\vec{q}=(-3\cdot1-4\cdot3)\hat{i}-(1\cdot1-4\cdot2)\hat{j}+(1\cdot3-(-3)\cdot2)\hat{k}=(-15,7,9)$.
To find the shortest distance between two lines $L_1$ and $L_2$, we first need to identify a point on each line and the direction vectors of the lines. Step 1: Identify the direction vectors $\vec{d_1}$ and $\vec{d_2}$ of $L_1$ and $L_2$ respectively. For $L_1$, the direction vector $\vec{d_1}$ can be extracted from the coefficients of $\lambda$ in its equation, yielding $\vec{d_1} = \hat{i} - 3\hat{j} + 4\hat{k}$. For $L_2$, the direction vector $\vec{d_2}$ can be extracted from the coefficients of $\mu$ in its equation, yielding $\vec{d_2} = 2\hat{i} + 3\hat{j} + \hat{k}$. Step 2: Find a point on each line. For $L_1$, setting $\lambda = 0$ gives us a point $P_1 = (2, 1, 3)$. For $L_2$, setting $\mu = 0$ gives us a point $P_2 = (2, 3, 5)$. Step 3: Calculate the vector $\vec{P_2P_1}$ from $P_2$ to $P_1$. $\vec{P_2P_1} = (2 - 2)\hat{i} + (1 - 3)\hat{j} + (3 - 5)\hat{k} = 0\hat{i} - 2\hat{j} - 2\hat{k}$. Step 4: The shortest distance between two lines can be found using the formula $SD = \frac{|\vec{d_1} \times \vec{d_2} \cdot \vec{P_2P_1}|}{|\vec{d_1} \times \vec{d_2}|}$, where $\times$ denotes the cross product and $\cdot$ denotes the dot product. First, calculate the cross product $\vec{d_1} \times \vec{d_2}$: $$ \begin{aligned} \vec{d_1} \times \vec{d_2} &= \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & -3 & 4 \\ 2 & 3 & 1 \\ \end{vmatrix} \\ &= \hat{i}((-3)(1) - (4)(3)) - \hat{j}((1)(1) - (4)(2)) + \hat{k}((1)(3) - (-3)(2)) \\ &= \hat{i}(-3 - 12) - \hat{j}(1 - 8) + \hat{k}(3 + 6) \\ &= \hat{i}(-15) - \hat{j}(-7) + \hat{k}(9) \\ &= -15\hat{i} + 7\hat{j} + 9\hat{k} \end{aligned} $$ Step 5: Next, calculate the dot product $(\vec{d_1} \times \vec{d_2}) \cdot \vec{P_2P_1}$: $$ \begin{aligned} (\vec{d_1} \times \vec{d_2}) \cdot \vec{P_2P_1} &= (-15\hat{i} + 7\hat{j} + 9\hat{k}) \cdot (0\hat{i} - 2\hat{j} - 2\hat{k}) \\ &= (-15)(0) + (7)(-2) + (9)(-2) \\ &= 0 - 14 - 18 \\ &= -32 \end{aligned} $$ Step 6: Then, calculate the magnitude of $\vec{d_1} \times \vec{d_2}$: $$ \begin{aligned} |\vec{d_1} \times \vec{d_2}| &= \sqrt{(-15)^2 + 7^2 + 9^2} \\ &= \sqrt{225 + 49 + 81} \\ &= \sqrt{355} \end{aligned} $$ Step 7: Finally, substitute these values into the formula for the shortest distance: $$ \begin{aligned} SD &= \frac{|\vec{d_1} \times \vec{d_2} \cdot \vec{P_2P_1}|}{|\vec{d_1} \times \vec{d_2}|} \\ &= \frac{|-32|}{\sqrt{355}} \\ &= \frac{32}{\sqrt{355}} \end{aligned} $$ Given that the shortest distance is $\frac{m}{\sqrt{n}}$, we have $m = 32$ and $n = 355$, so $m + n = 32 + 355 = 387$. Therefore: $m + n = 387$ corresponds to option 4. <div class="key-concept"><strong>Key Concept:</strong> $L_1$ through $A(2,1,3)$ with direction $\vec{p}=(1,-3,4)$. $L_2$ through $B(2,3,5)$ with direction $\vec{q}=(2,3,1)$. $\overrightarrow{AB}=(0,2,2)$. $\vec{p}\times\vec{q}=(-3\cdot1-4\cdot3)\hat{i}-(1\cdot1-4\cdot2)\hat{j}+(1\cdot3-(-3)\cdot2)\hat{k}=(-15,7,9)$.</div> <div class="trap-box"><strong>Trap:</strong> $|\vec{p}\times\vec{q}|=\sqrt{225+49+81}=\sqrt{355}$. SD $=\frac{|(0,2,2)\cdot(-15,7,9)|}{\sqrt{355}}=\frac{|0+14+18|}{\sqrt{355}}=\frac{32}{\sqrt{355}}$. $m=32,n=355,\gcd=1$. $m+n=387$.</div>
Correct Answer: 4

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