Question:

If the square of the shortest distance between the lines \[ \frac{x-2}{1} = \frac{y-1}{2} = \frac{z+3}{-3} \] and \[ \frac{x+1}{2} = \frac{y+3}{4} = \frac{z+5}{-5} \] is \( \frac{m}{n} \), where \( m \) and \( n \) are co-prime numbers, then \( m+n \) is equal to:

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When finding the shortest distance between two skew lines, use the cross product of the direction vectors and the vector between points on the lines. Then apply the formula for the distance.
Updated On: Mar 24, 2025
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The Correct Option is B

Solution and Explanation

We are given two lines in symmetric form: 1. Line 1: \( \frac{x-2}{1} = \frac{y-1}{2} = \frac{z+3}{-3} \) 2. Line 2: \( \frac{x+1}{2} = \frac{y+3}{4} = \frac{z+5}{-5} \) These lines can be written in parametric form: - For Line 1: \( x = 2 + t, y = 1 + 2t, z = -3 - 3t \) - For Line 2: \( x = -1 + 2s, y = -3 + 4s, z = -5 - 5s \) The formula for the shortest distance \( d \) between two skew lines is: \[ d = \frac{|(\mathbf{r_2} - \mathbf{r_1}) \cdot (\mathbf{v_1} \times \mathbf{v_2})|}{|\mathbf{v_1} \times \mathbf{v_2}|} \] where \( \mathbf{r_1} \) and \( \mathbf{r_2} \) are points on the two lines, and \( \mathbf{v_1} \) and \( \mathbf{v_2} \) are the direction vectors of the lines. For Line 1, the direction vector \( \mathbf{v_1} = (1, 2, -3) \), and for Line 2, the direction vector \( \mathbf{v_2} = (2, 4, -5) \). We calculate the cross product \( \mathbf{v_1} \times \mathbf{v_2} \) and the dot product \( (\mathbf{r_2} - \mathbf{r_1}) \cdot (\mathbf{v_1} \times \mathbf{v_2}) \). Then, using these, we calculate the shortest distance squared as \( \frac{4}{5} \), which corresponds to \( m + n = 9 \).
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