Determine the shortest distance between the lines l1 and l2 whose vector equations are \(\vec{r}=2 \hat{\imath}+\hat{\jmath}+\lambda(2 \hat{\imath}-\hat{\jmath}+\hat{k}) \quad \ldots(1)\) \(\vec{r}=3 \hat{\imath}+\hat{\jmath}-\hat{k}+\mu(3 \hat{\imath}-5 \hat{\jmath}+2 \hat{k}) \quad \ldots(2)\)
To determine the shortest distance between two lines given their vector equations, we utilize a specific formula that applies to skew lines (lines that are not parallel and do not intersect). The process involves identifying key vectors from the line equations and then performing vector operations.
The vector equations of the two lines are typically given in the form \(\vec{r} = \vec{a_1} + \lambda \vec{b_1}\) and \(\vec{r} = \vec{a_2} + \mu \vec{b_2}\). Here, \(\vec{a_1}\) and \(\vec{a_2}\) are the position vectors of points on the respective lines, and \(\vec{b_1}\) and \(\vec{b_2}\) are vectors parallel to the lines. The shortest distance \(D\) between these two skew lines is calculated using the formula:
\[ D = \left| \frac{(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})}{|\vec{b_1} \times \vec{b_2}|} \right| \]
Let's first identify the vectors \(\vec{a_1}, \vec{b_1}, \vec{a_2},\) and \(\vec{b_2}\) from the given vector equations:
From this equation, we can identify:
From this equation, we can identify:
Now, we will perform the necessary vector operations step-by-step as required by the shortest distance formula.
First, calculate the vector difference between the position vectors \(\vec{a_2}\) and \(\vec{a_1}\):
\[ \vec{a_2} - \vec{a_1} = (3 \hat{\imath}+\hat{\jmath}-\hat{k}) - (2 \hat{\imath}+\hat{\jmath}) \]
\[ \vec{a_2} - \vec{a_1} = (3-2)\hat{\imath} + (1-1)\hat{\jmath} + (-1-0)\hat{k} \]
\[ \vec{a_2} - \vec{a_1} = \hat{\imath} - \hat{k} \]
Next, compute the cross product of the direction vectors \(\vec{b_1}\) and \(\vec{b_2}\). This vector \(\vec{b_1} \times \vec{b_2}\) is perpendicular to both lines.
\[ \vec{b_1} \times \vec{b_2} = \begin{vmatrix} \hat{\imath} & \hat{\jmath} & \hat{k} \\ 2 & -1 & 1 \\ 3 & -5 & 2 \end{vmatrix} \]
Expanding the determinant to find the components:
\[ \vec{b_1} \times \vec{b_2} = \hat{\imath}((-1)(2) - (1)(-5)) - \hat{\jmath}((2)(2) - (1)(3)) + \hat{k}((2)(-5) - (-1)(3)) \]
\[ \vec{b_1} \times \vec{b_2} = \hat{\imath}(-2 + 5) - \hat{\jmath}(4 - 3) + \hat{k}(-10 + 3) \]
\[ \vec{b_1} \times \vec{b_2} = 3\hat{\imath} - \hat{\jmath} - 7\hat{k} \]
Now, calculate the magnitude (length) of the cross product vector \(\vec{b_1} \times \vec{b_2}\):
\[ |\vec{b_1} \times \vec{b_2}| = |3\hat{\imath} - \hat{\jmath} - 7\hat{k}| \]
\[ |\vec{b_1} \times \vec{b_2}| = \sqrt{(3)^2 + (-1)^2 + (-7)^2} \]
\[ |\vec{b_1} \times \vec{b_2}| = \sqrt{9 + 1 + 49} \]
\[ |\vec{b_1} \times \vec{b_2}| = \sqrt{59} \]
Next, find the dot product of the difference vector \((\vec{a_2} - \vec{a_1})\) with the cross product vector \((\vec{b_1} \times \vec{b_2})\):
\[ (\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) = (\hat{\imath} - \hat{k}) \cdot (3\hat{\imath} - \hat{\jmath} - 7\hat{k}) \]
\[ (\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) = (1)(3) + (0)(-1) + (-1)(-7) \]
\[ (\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) = 3 + 0 + 7 \]
\[ (\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) = 10 \]
Substitute all the calculated values into the shortest distance formula:
\[ D = \left| \frac{(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})}{|\vec{b_1} \times \vec{b_2}|} \right| \]
\[ D = \left| \frac{10}{\sqrt{59}} \right| \]
\[ D = \frac{10}{\sqrt{59}} \]
Thus, the shortest distance between the given lines is \(\frac{10}{\sqrt{59}}\) units.
| Component | Calculated Value |
|---|---|
| \(\vec{a_1}\) | \(2 \hat{\imath}+\hat{\jmath}\) |
| \(\vec{b_1}\) | \(2 \hat{\imath}-\hat{\jmath}+\hat{k}\) |
| \(\vec{a_2}\) | \(3 \hat{\imath}+\hat{\jmath}-\hat{k}\) |
| \(\vec{b_2}\) | \(3 \hat{\imath}-5 \hat{\jmath}+2 \hat{k}\) |
| \(\vec{a_2} - \vec{a_1}\) | \(\hat{\imath} - \hat{k}\) |
| \(\vec{b_1} \times \vec{b_2}\) | \(3\hat{\imath} - \hat{\jmath} - 7\hat{k}\) |
| Magnitude \(|\vec{b_1} \times \vec{b_2}|\) | \(\sqrt{59}\) |
| Dot Product \((\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})\) | \(10\) |
| Shortest Distance \(D\) | \(\frac{10}{\sqrt{59}}\) |
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The distance of a point from the x-axis is called that point.