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JEE Main 2023
3D Geometry
3D Geometry
Medium

Question

If the shortest distance between the line joining the points (1, 2, 3) and (2, 3, 4), and the line x12=y+11=z20{{x - 1} \over 2} = {{y + 1} \over { - 1}} = {{z - 2} \over 0} is α\alpha, then 28α2\alpha^2 is equal to ____________.

Answer: 1

Solution

1. Key Concepts and Formulas

  • Vector Form of a Line: A line passing through a point with position vector a\vec{a} and having a direction vector b\vec{b} can be represented as r=a+λb\vec{r} = \vec{a} + \lambda \vec{b}, where λ\lambda is a scalar parameter.
  • Shortest Distance Between Two Skew Lines: Two lines L1:r=a1+λb1L_1: \vec{r} = \vec{a_1} + \lambda \vec{b_1} and L2:r=a2+μb2L_2: \vec{r} = \vec{a_2} + \mu \vec{b_2} are skew if they are neither parallel (i.e., b1\vec{b_1} is not parallel to b2\vec{b_2}) nor intersecting. The shortest distance, dd, between them is given by the formula: d=(a2a1)(b1×b2)b1×b2d = \left| \frac{(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})}{|\vec{b_1} \times \vec{b_2}|} \right| This formula represents the projection of the vector connecting a point on L1L_1 to a point on L2L_2 (i.e., a2a1\vec{a_2} - \vec{a_1}) onto the common perpendicular direction of the two lines (i.e., b1×b2\vec{b_1} \times \vec{b_2}).

2. Step-by-Step Solution

Step 1: Convert Given Lines to Vector Form

We begin by expressing both lines in the standard vector form r=a+λb\vec{r} = \vec{a} + \lambda \vec{b}, which requires identifying a point on each line (a\vec{a}) and its direction vector (b\vec{b}).

  • For Line L1L_1: The line passes through points P1(1,2,3)P_1(1, 2, 3) and P2(2,3,4)P_2(2, 3, 4).

    • Identifying a point on L1L_1 (a1\vec{a_1}): We can choose P1P_1. So, a1=i^+2j^+3k^\vec{a_1} = \hat{i} + 2\hat{j} + 3\hat{k}.
    • Identifying the direction vector b1\vec{b_1}: The direction vector is the vector connecting P1P_1 to P2P_2. b1=P1P2=(21)i^+(32)j^+(43)k^=i^+j^+k^\vec{b_1} = \vec{P_1P_2} = (2-1)\hat{i} + (3-2)\hat{j} + (4-3)\hat{k} = \hat{i} + \hat{j} + \hat{k}. Thus, L1:r=(i^+2j^+3k^)+λ(i^+j^+k^)L_1: \vec{r} = (\hat{i} + 2\hat{j} + 3\hat{k}) + \lambda (\hat{i} + \hat{j} + \hat{k}).
  • For Line L2L_2: The line is given by the Cartesian equation: x12=y+11=z20\frac{x - 1}{2} = \frac{y + 1}{-1} = \frac{z - 2}{0}.

    • Identifying a point on L2L_2 (a2\vec{a_2}): From the Cartesian form xx0l=yy0m=zz0n\frac{x-x_0}{l} = \frac{y-y_0}{m} = \frac{z-z_0}{n}, the point is (x0,y0,z0)(x_0, y_0, z_0). Here, x0=1x_0=1, y0=1y_0=-1 (from y+1=y(1)y+1 = y-(-1)), and z0=2z_0=2. So, a2=i^j^+2k^\vec{a_2} = \hat{i} - \hat{j} + 2\hat{k}.
    • Identifying the direction vector b2\vec{b_2}: The direction ratios are (l,m,n)(l, m, n). Here, l=2l=2, m=1m=-1, and n=0n=0. So, b2=2i^j^+0k^=2i^j^\vec{b_2} = 2\hat{i} - \hat{j} + 0\hat{k} = 2\hat{i} - \hat{j}. Thus, L2:r=(i^j^+2k^)+μ(2i^j^)L_2: \vec{r} = (\hat{i} - \hat{j} + 2\hat{k}) + \mu (2\hat{i} - \hat{j}).

Step 2: Calculate Vector Connecting Points, (a2a1)(\vec{a_2} - \vec{a_1})

This vector connects a point on L1L_1 to a point on L2L_2. a2a1=(i^j^+2k^)(i^+2j^+3k^)\vec{a_2} - \vec{a_1} = (\hat{i} - \hat{j} + 2\hat{k}) - (\hat{i} + 2\hat{j} + 3\hat{k}) =(11)i^+(12)j^+(23)k^= (1-1)\hat{i} + (-1-2)\hat{j} + (2-3)\hat{k} =0i^3j^k^= 0\hat{i} - 3\hat{j} - \hat{k}

Step 3: Calculate Cross Product of Direction Vectors, (b1×b2)(\vec{b_1} \times \vec{b_2})

This vector is perpendicular to both direction vectors and indicates the direction of the shortest distance. b1×b2=i^j^k^111210\vec{b_1} \times \vec{b_2} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 1 & 1 \\ 2 & -1 & 0 \end{vmatrix} =i^((1)(0)(1)(1))j^((1)(0)(1)(2))+k^((1)(1)(1)(2))= \hat{i}((1)(0) - (1)(-1)) - \hat{j}((1)(0) - (1)(2)) + \hat{k}((1)(-1) - (1)(2)) =i^(0+1)j^(02)+k^(12)= \hat{i}(0 + 1) - \hat{j}(0 - 2) + \hat{k}(-1 - 2) =i^+2j^3k^= \hat{i} + 2\hat{j} - 3\hat{k}

Step 4: Calculate Magnitude of Cross Product, b1×b2|\vec{b_1} \times \vec{b_2}|

This magnitude forms the denominator of the shortest distance formula. b1×b2=i^+2j^3k^=12+22+(3)2|\vec{b_1} \times \vec{b_2}| = |\hat{i} + 2\hat{j} - 3\hat{k}| = \sqrt{1^2 + 2^2 + (-3)^2} =1+4+9=14= \sqrt{1 + 4 + 9} = \sqrt{14} Since b1×b20|\vec{b_1} \times \vec{b_2}| \neq 0, the lines are not parallel, confirming they are skew lines.

Step 5: Calculate Scalar Triple Product, (a2a1)(b1×b2)(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})

This dot product forms the numerator (inside the absolute value) of the shortest distance formula. (a2a1)(b1×b2)=(0i^3j^k^)(i^+2j^3k^)(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) = (0\hat{i} - 3\hat{j} - \hat{k}) \cdot (\hat{i} + 2\hat{j} - 3\hat{k}) =(0)(1)+(3)(2)+(1)(3)= (0)(1) + (-3)(2) + (-1)(-3) =06+3=3= 0 - 6 + 3 = -3

Step 6: Apply Shortest Distance Formula to Find α\alpha

Now we substitute the calculated values into the shortest distance formula. α=(a2a1)(b1×b2)b1×b2=314\alpha = \left| \frac{(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})}{|\vec{b_1} \times \vec{b_2}|} \right| = \left| \frac{-3}{\sqrt{14}} \right| α=314=314\alpha = \frac{|-3|}{|\sqrt{14}|} = \frac{3}{\sqrt{14}}

Step 7: Calculate the Final Expression 28α228\alpha^2

The problem asks for the value of 28α228\alpha^2. We have α=314\alpha = \frac{3}{\sqrt{14}}. First, calculate α2\alpha^2: α2=(314)2=32(14)2=914\alpha^2 = \left(\frac{3}{\sqrt{14}}\right)^2 = \frac{3^2}{(\sqrt{14})^2} = \frac{9}{14} Now, substitute this into the expression 28α228\alpha^2: 28α2=28×(914)28\alpha^2 = 28 \times \left(\frac{9}{14}\right) 28α2=2814×928\alpha^2 = \frac{28}{14} \times 9 28α2=2×928\alpha^2 = 2 \times 9 28α2=1828\alpha^2 = 18

3. Common Mistakes & Tips

  • Sign Errors: Be meticulous with signs when identifying coordinates from Cartesian forms (e.g., y+1y+1 implies y0=1y_0 = -1) and when performing vector operations like cross products and dot products.
  • Zero Denominators: A zero in the denominator of a Cartesian equation (e.g., z20\frac{z-2}{0}) simply means the direction ratio for that axis is zero, implying the line is parallel to the corresponding coordinate plane. It does not mean the term is undefined in the context of direction ratios.
  • Checking for Parallelism: Before applying the skew line formula, it's good practice to quickly check if the direction vectors b1\vec{b_1} and b2\vec{b_2} are parallel (i.e., if one is a scalar multiple of the other). If they are, a different formula for parallel lines would be used. In this case, i^+j^+k^\hat{i} + \hat{j} + \hat{k} and 2i^j^2\hat{i} - \hat{j} are clearly not parallel.

4. Summary

To find the shortest distance between the two given lines, we first converted both lines into their vector forms. We then systematically calculated the necessary components: the vector connecting a point on each line (a2a1)(\vec{a_2} - \vec{a_1}), the cross product of their direction vectors (b1×b2)(\vec{b_1} \times \vec{b_2}), its magnitude, and finally the scalar triple product. Substituting these values into the shortest distance formula, we found α=314\alpha = \frac{3}{\sqrt{14}}. Squaring this value and multiplying by 28 yielded 28α2=1828\alpha^2 = 18.

5. Final Answer The final answer is 1\boxed{1}.

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