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Consider the line L 1 : x 1 y 2 z 1 31...

Consider the line L 1 : x 1 y 2 z 1 312 +++ ==, L2 : x2y2z3 123

A

`(12)/(sqrt(65))`

B

`(14)/(sqrt(75))`

C

`(13)/(sqrt(75))`

D

`(13)/(sqrt(65))`

Text Solution

AI Generated Solution

The correct Answer is:
To find the shortest distance between the two lines \( L_1 \) and \( L_2 \), we will follow these steps: ### Step 1: Identify the lines in vector form The lines are given as: - \( L_1: x + y + z = 3 \) - \( L_2: x + 2y + 3z = 1 \) We can express these lines in vector form. For \( L_1 \), we can write it as: \[ \vec{r_1} = \vec{a_1} + \lambda \vec{b_1} \] where \( \vec{a_1} \) is a point on the line and \( \vec{b_1} \) is the direction vector. For \( L_2 \), we can write it as: \[ \vec{r_2} = \vec{a_2} + \mu \vec{b_2} \] where \( \vec{a_2} \) is a point on the line and \( \vec{b_2} \) is the direction vector. ### Step 2: Determine points and direction vectors From the equations of the lines, we can find points and direction vectors. For \( L_1 \): - A point \( \vec{a_1} = (1, 1, 1) \) (substituting \( x=1, y=1 \) gives \( z=1 \)) - Direction vector \( \vec{b_1} = (3, 1, 2) \) (coefficients of \( \lambda \)) For \( L_2 \): - A point \( \vec{a_2} = (1, 0, 0) \) (substituting \( x=1, y=0 \) gives \( z=0 \)) - Direction vector \( \vec{b_2} = (1, 2, 3) \) (coefficients of \( \mu \)) ### Step 3: Use the formula for shortest distance The formula for the shortest distance \( d \) between two skew lines is given by: \[ d = \frac{|(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})|}{|\vec{b_1} \times \vec{b_2}|} \] ### Step 4: Calculate \( \vec{a_2} - \vec{a_1} \) \[ \vec{a_2} - \vec{a_1} = (1 - 1, 0 - 1, 0 - 1) = (0, -1, -1) \] ### Step 5: Calculate \( \vec{b_1} \times \vec{b_2} \) \[ \vec{b_1} = (3, 1, 2), \quad \vec{b_2} = (1, 2, 3) \] Using the determinant to find the cross product: \[ \vec{b_1} \times \vec{b_2} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 3 & 1 & 2 \\ 1 & 2 & 3 \end{vmatrix} = \hat{i}(1 \cdot 3 - 2 \cdot 2) - \hat{j}(3 \cdot 3 - 2 \cdot 1) + \hat{k}(3 \cdot 2 - 1 \cdot 1) \] \[ = \hat{i}(3 - 4) - \hat{j}(9 - 2) + \hat{k}(6 - 1) \] \[ = -\hat{i} - 7\hat{j} + 5\hat{k} = (-1, -7, 5) \] ### Step 6: Calculate the magnitude of \( \vec{b_1} \times \vec{b_2} \) \[ |\vec{b_1} \times \vec{b_2}| = \sqrt{(-1)^2 + (-7)^2 + 5^2} = \sqrt{1 + 49 + 25} = \sqrt{75} \] ### Step 7: Calculate the dot product \[ (\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) = (0, -1, -1) \cdot (-1, -7, 5) \] \[ = 0 \cdot -1 + (-1) \cdot -7 + (-1) \cdot 5 = 0 + 7 - 5 = 2 \] ### Step 8: Substitute into the distance formula \[ d = \frac{|2|}{\sqrt{75}} = \frac{2}{\sqrt{75}} = \frac{2}{5\sqrt{3}} = \frac{2\sqrt{3}}{15} \] ### Final Answer The shortest distance between the two lines \( L_1 \) and \( L_2 \) is \( \frac{2\sqrt{3}}{15} \).

To find the shortest distance between the two lines \( L_1 \) and \( L_2 \), we will follow these steps: ### Step 1: Identify the lines in vector form The lines are given as: - \( L_1: x + y + z = 3 \) - \( L_2: x + 2y + 3z = 1 \) We can express these lines in vector form. ...
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