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Shortest Distance between Two Lines in 3D Space

Shortest Distance between Two Lines in 3D Space

Edited By Komal Miglani | Updated on Jul 02, 2025 07:50 PM IST

A line is one dimensional figure, which has length but no width. Two lines can have the following relation parallel line, perpendicular line, skewed line, and Intersecting line. Distance between two lines can be obtained by first finding the relation between lines. In real life, everything around is based on lines.

This Story also Contains
  1. Shortest Distance between Two Lines
  2. Relations Between Two Lines
  3. Shortest Distance between two skew lines
  4. Distance between Intersecting lines
  5. Shortest Distance between parallel lines
  6. Derivation of Shortest Distance between parallel lines
  7. Solved Examples Based on the Shortest Distance between Two Lines
Shortest Distance between Two Lines in 3D Space
Shortest Distance between Two Lines in 3D Space

In this article, we will cover the concept of the Shortest Distance Between Two Lines. This topic falls under the broader category of three-dimensional geometry, which is a crucial chapter in Class 12 Mathematics. This is very important not only for board exams but also for competitive exams, which even include the Joint Entrance Examination Main and other entrance exams: SRM Joint Engineering Entrance, BITSAT, WBJEE, and BCECE. A total of eleven questions have been asked on this topic in JEE Main from 2013 to 2023 including two in 2015, one in 2016, one in 2017, two in 2020, four in 2021, five in 2022, and twelve in 2023.

Shortest Distance between Two Lines

The shortest distance between two lines in three-dimensional space is the length of the perpendicular segment drawn from a point on one line to the other line. Based on the relation between two lines we can find the distance between two lines.

Relations Between Two Lines

There are three possible types of relations that two different lines can have in a three-dimensional space. They can be

  1. Parallel lines: when their direction vectors are parallel and the two lines never meet.

  2. Intersecting lines: when their direction vectors are not parallel and the two lines intersect.

  3. Skew lines: When two lines are neither parallel nor intersecting at a point.

  4. Perpendicular line: when their direction ratios are perpendicular to each other.

For example, consider a cuboid

Edges $A B$ and $C D$ are parallel. Edges $A B$ and $B C$ intersect at a single point $B$. Edges $A B$ and $E H$ are skewed since they are not parallel and never meet.

For skew lines, the line of the shortest distance will be perpendicular to both lines.

So, the shortest distance between edges $A B$ and $E H$ is $|A E|$.

Shortest Distance between two skew lines

When two lines are neither parallel nor intersecting at a point they are referred to as Skew Lines.

If $\vec{r}=\vec{a}+\lambda \vec{b}$ and $\vec{r}=\overrightarrow{a_1}+\mu \vec{b}$ are skew lines then the shortest distance between them is given by

$
\left|\frac{\left(\vec{b} \times \overrightarrow{b_1}\right) \cdot\left(\vec{a}-\overrightarrow{a_1}\right)}{\left|\vec{b} \times \overrightarrow{b_1}\right|}\right|
$

Derivation of Distance between two skew lines

If $L_1$ and $L_2$ are two skew lines, then there is one and only one line perpendicular to each of lines L1 and L2 which is known as the line of shortest distance.

Vector form
$\mathrm{L}_1: \overrightarrow{\mathbf{r}}=\overrightarrow{\mathbf{r}}_0+\lambda \overrightarrow{\mathbf{b}}$
$\mathrm{L}_2: \quad \overrightarrow{\mathbf{r}}=\overrightarrow{\mathbf{r}_0^{\prime}}+\mu \overrightarrow{\mathbf{b}^{\prime}}$
Let $S$ be any point on the line $L_1$ with position vector $\overrightarrow{\mathbf{r}}_0$ and $T$ on $L_2$ with position vector $\overrightarrow{\mathbf{r}}_0$. Then the magnitude of the shortest distance vector will be equal to that of the projection of ST along the direction of the line of shortest distance.

If $\overrightarrow{P Q}$ is the shortest distance vector between $\mathrm{L}_1$ and $\mathrm{L}_2$, then it is perpendicular to both $\overrightarrow{\mathbf{b}}$ and $\overrightarrow{\mathbf{b}^{\prime}}$, therefore, the unit vector $\hat{\mathbf{n}}$ along $\overrightarrow{P Q}$ would be

$
\hat{\mathbf{n}}=\frac{\overrightarrow{\mathbf{b}} \times \overrightarrow{\mathbf{b}^{\prime}}}{\left|\overrightarrow{\mathbf{b}} \times \overrightarrow{\mathbf{b}^{\prime}}\right|}
$

Then,

$
\overrightarrow{P Q}=d \hat{\mathbf{n}}
$

where "d" is the magnitude of the shortest distance vector. Let $\theta$ be the angle between $\overrightarrow{S T}$ and $\overrightarrow{P Q}$

Then

$
\mathrm{PQ}=\mathrm{ST}|\cos \theta|
$

but,

$
\begin{aligned}
& \cos \theta=\left|\frac{\overrightarrow{\mathrm{PQ}} \cdot \overrightarrow{\mathrm{ST}}}{|\overrightarrow{\mathrm{PQ}} \| \overrightarrow{\mathrm{ST}}|}\right| \\
& =\left|\frac{d \hat{n} \cdot\left({\overrightarrow{r^{\prime}}}_0-\vec{r}_0\right)}{d \mathrm{ST}}\right| \quad\left(\text { since } \overrightarrow{\mathrm{ST}}=\vec{r}_0^{\prime}-\vec{r}_0\right) \\
& =\left|\frac{\left(\vec{b} \times \overrightarrow{b^{\prime}}\right) \cdot\left({\overrightarrow{r^{\prime}}}_0-\vec{r}_0\right)}{\mathrm{ST}\left|\vec{b} \times \overrightarrow{b^{\prime}}\right|}\right|
\end{aligned}
$

Hence, the required shortest distance is

$
d=\mathrm{PQ}=\mathrm{ST}|\cos \theta|
$

or $\quad \mathbf{d}=\left|\frac{\left(\overrightarrow{\mathbf{b}} \times \overrightarrow{\mathbf{b}^{\prime}}\right) \cdot\left({\overrightarrow{r^{\prime}}}_0-\overrightarrow{\mathbf{r}}_0\right)}{\left|\overrightarrow{\mathbf{b}} \times \overrightarrow{\mathbf{b}^{\prime}}\right|}\right|$

Distance between Intersecting lines

The shortest distance between intersecting lines is 0

Vector form

$\left(\vec{b} \times \overrightarrow{b_1}\right) \cdot\left(\overrightarrow{\mathbf{r}}_0^{\prime}-\overrightarrow{\mathbf{r}}_0\right)=0$

Shortest Distance between parallel lines

If the direction vectors of two lines are parallel and the two lines never meet they are referred as Parallel Lines.

If $\vec{r}=\overrightarrow{p_1}+\lambda \vec{\nu}$ and $\vec{r}=\overrightarrow{p_2}+\mu \vec{\nu}$ are Parallel Lines then the shortest distance between them is given by

$
\frac{\left|\left(\overrightarrow{p_2}-\overrightarrow{p_1}\right) \times \vec{\nu}\right|}{|\vec{\nu}|}
$

Derivation of Shortest Distance between parallel lines

Let two lines $ L_1$ and $L_2$ be parallel. Let the equation of lines be given by

$\mathrm{L}_1: \quad \overrightarrow{\mathbf{r}}=\overrightarrow{\mathbf{r}}_0+\lambda \overrightarrow{\mathbf{b}}$
$\mathrm{L}_2: \overrightarrow{\mathbf{r}}=\overrightarrow{\mathbf{r}}_0+\mu \overrightarrow{\mathbf{b}}$
where, $\overrightarrow{\mathbf{r}}_0$ is the position vector of a point $S$ on $L_1$ and $\overrightarrow{\mathbf{r}_0} 0$ is the position vector of a point $T$ on $\mathrm{L}_2$.

Let $\theta$ be the angle between the vectors $S T$ and $\overrightarrow{\mathbf{b}}$.

$\begin{aligned}
&\text { Then, }\\
&\overrightarrow{\mathbf{b}} \times \overrightarrow{\mathrm{ST}}=(|\overrightarrow{\mathbf{b}}||\overrightarrow{\mathrm{ST}}| \sin \theta)) \hat{\mathbf{n}}
\end{aligned}$

where $\hat{\mathbf{n}}$ is the unit vector perpendicular to the plane of the lines $L_1$ and $L_2$ but

$\begin{array}{ccc}
& \overrightarrow{S T}=\overrightarrow{\mathbf{r}}_0^{\prime}-\overrightarrow{\mathbf{r}}_0 \\
\Rightarrow & \overrightarrow{\mathbf{b}} \times\left(\overrightarrow{\mathbf{r}}_0-\overrightarrow{\mathbf{r}}_0\right)=(|\overrightarrow{\mathbf{b}}||\overrightarrow{\mathrm{PT}}|) \hat{\mathbf{n}} & \text { (since PT }=\mathrm{ST} \sin \theta) \\
\text { i.e. } & \left|\overrightarrow{\mathbf{b}} \times\left(\overrightarrow{\mathbf{r}}_0^{\prime}-\overrightarrow{\mathbf{r}}_0\right)\right|=(|\overrightarrow{\mathbf{b}}||\overrightarrow{\mathrm{PT}}|) \cdot 1 & \text { (as }|\hat{\mathbf{n}}|=1)
\end{array}$

Hence, the distance between the given parallel lines is
$\mathbf{d}=|\overrightarrow{\mathbf{P T}}|=\left|\frac{\overrightarrow{\mathbf{b}} \times\left(\overrightarrow{\mathbf{r}}_0^{\prime}-\overrightarrow{\mathbf{r}}_0\right)}{|\overrightarrow{\mathrm{b}}|}\right|$

Recommended Video Based on the Shortest Distance Between Two Lines


Solved Examples Based on the Shortest Distance between Two Lines

Example 1: The line $l_1$ passes through the point $(2,6,2)$ and is perpendicular to the plane $2 x+y-2 z=10$. Then the shortest distance between the line $l_1$ and the line $\frac{x+1}{2}=\frac{y+4}{-3}=\frac{z}{2}$ is :
[JEE MAINS 2023]

Solution
equation of $l_1$ is $\frac{x-2}{2}=\frac{y-6}{1}=\frac{z-2}{-2}$
Let $l_2$ is $\frac{x+1}{2}=\frac{y+4}{-3}=\frac{z}{2}$
Point on $l_1$ is $\mathrm{a}=(2,6,2)$, direction $\overrightarrow{\mathrm{p}}=\langle 2,1,-2\rangle$
Point on $l_2$ is $\mathrm{b}=(-1,-4,0)$ direction $\overrightarrow{\mathrm{q}}=\langle 2,-3,2\rangle$

The shortest distance between $l_1$ and $l_2$

$
l_2=\left|\frac{(\overrightarrow{\mathrm{a}}-\overrightarrow{\mathrm{b}}) \cdot(\overrightarrow{\mathrm{p}} \times \overrightarrow{\mathrm{q}})}{|\overrightarrow{\mathrm{p}} \times \overrightarrow{\mathrm{q}}|}\right|
$

$
\begin{aligned}
\overrightarrow{\mathrm{p}} \times \overrightarrow{\mathrm{q}} & =\left|\begin{array}{ccc}
\hat{\mathrm{i}} & \hat{\mathrm{j}} & \mathrm{k} \\
2 & 1 & -2 \\
2 & -3 & 2
\end{array}\right|=\hat{\mathrm{i}}(-4)-\hat{\mathrm{j}}(8)+\mathrm{k}(-8) \\
& =\left|\frac{\langle 3,10,2\rangle \cdot\langle-4,-8,-8\rangle}{\sqrt{16+64+64}}\right| \\
& =\left|\frac{-12-80-16}{\sqrt{144}}\right| \\
& =\frac{108}{12} \\
& =9
\end{aligned}
$

Hence, the answer is 9

Example 2: The shortest distance between the lines $\frac{x-2}{3}=\frac{y+1}{2}=\frac{z-6}{2}$ and $\frac{x-6}{3}=\frac{1-y}{2}=\frac{z+8}{0}$ is equal to [JEE MAINS 2023]

$\begin{aligned}
&\text { Solution }\\
&\begin{gathered}
\mathrm{L}_1: \overline{\mathrm{a}}=<2,-1,6>\quad \mathrm{L}_2: \overline{\mathrm{b}}=<6,1,-8> \\
\overline{\mathrm{p}}=<3,2,2>\quad \overline{\mathrm{q}}=<3,-2,0> \\
\overline{\mathrm{p}} \times \overline{\mathrm{q}}=\left|\begin{array}{ccc}
\hat{\mathrm{i}} & \hat{\mathrm{j}} & \hat{\mathrm{k}} \\
3 & 2 & 2 \\
3 & -2 & 0
\end{array}\right|=\langle 4,6,-12> \\
=\langle 2,3,-6> \\
\mathrm{b} \Delta=\left|\frac{(\overline{\mathrm{b}}-\overline{\mathrm{a}}) \cdot|\overline{\mathrm{p}} \times \overline{\mathrm{q}}|}{|\overline{\mathrm{p}} \times \overline{\mathrm{q}}|}\right| \\
=\left|\frac{(4 \hat{\mathrm{i}}+2 \hat{\mathrm{j}}-14 \hat{\mathrm{k}}) \cdot(2 \hat{\mathrm{i}}+3 \hat{\mathrm{j}}-6 \hat{\mathrm{k}})}{\sqrt{4+9+36}}\right| \\
=\left|\frac{8+6+84}{\sqrt{40}}\right|=\left|\frac{98}{7}\right|=14
\end{gathered}\\
&\text { }
\end{aligned}$

Hence, the answer is 14

Example 3: The shortest distance between the lines $\frac{x-1}{2}=\frac{y-2}{1}=\frac{z-0}{-3}$ and $\frac{x-1}{2}=\frac{y+8}{-7}=\frac{z-4}{5}$
[JEE MAINS 2023]

Solution

$
\begin{aligned}
& L_1=\frac{x-1}{2}=\frac{\mathrm{y}+8}{-7}=\frac{\mathrm{z}-4}{5}=\lambda \\
& \mathrm{L}_2 \frac{\mathrm{x}-1}{2}=\frac{\mathrm{y}-2}{1}=\frac{\mathrm{z}-6}{-3}=\mu
\end{aligned}
$

S.D. $=\left|\frac{(\vec{b}-\vec{a}) .\left(\vec{b}_1 \times \vec{b}_2\right)}{\left|\vec{b}_1 \times \vec{b}_2\right|}\right| \begin{aligned} & \vec{a}=i-8 j+4 k \\ & \vec{b}=i+2 j+6 k\end{aligned}$

$
\begin{aligned}
& \overrightarrow{\mathrm{b}}_1 \times \overrightarrow{\mathrm{b}}_2=\left|\begin{array}{ccc}
\mathrm{i} & \mathrm{j} & \mathrm{k} \\
2 & -7 & 5 \\
2 & 1 & -3
\end{array}\right| \\
& =i(21-5)-j(-6-10)+k(2+14) \\
& =16 i+16 j+16 k \\
& \left|\vec{b}_1 \times \vec{b}_2\right|=|16(\mathrm{i}+\mathrm{j}+\mathrm{k})|
\end{aligned}
$
$
\begin{aligned}
& =16 \times \sqrt{3} \\
& \vec{b}-\vec{a}=(10 j+2 k) \\
& \text { S.D. }=\left|\frac{(10 \mathrm{j}+2 \mathrm{k}) \cdot 16(\mathrm{i}+\mathrm{j}+\mathrm{k})}{16 \sqrt{3}}\right| \\
& =\left|\frac{16(10+2)}{16 \sqrt{3}}\right|=\frac{12}{\sqrt{3}} \Rightarrow \frac{12}{\sqrt{3}} \times \frac{\sqrt{3}}{\sqrt{3}} \\
& =\frac{12 \sqrt{3}}{3}=4 \sqrt{3}
\end{aligned}
$
Hence, the answer is $4 \sqrt{3}$

Example 4: The shortest distance between the lines $\frac{x+2}{1}=\frac{y}{-2}=\frac{z-5}{2}$ and $\frac{x-4}{1}=\frac{y-1}{2}=\frac{z+3}{0}$ is:
[JEE MAINS 2023]

$\begin{aligned}
&\frac{x+2}{1}=\frac{y}{-2}=\frac{z-5}{2} \quad \text { and } \quad \frac{x-4}{1}=\frac{y-1}{2}=\frac{z+3}{0}\\
\end{aligned}$

$=\frac{\left\lvert\, \begin{array}{ccc}a_2-a_1 & b_2-b_1 & c_2-c_1 \\ l_1 & m_1 & n_1 \\ l_2 & m_2 & n_2\end{array}\right. \|}{\left\|\begin{array}{ccc}\hat{\mathrm{i}} & \hat{\mathrm{j}} & \mathrm{k} \\ \mathrm{l}_1 & \mathrm{~m}_1 & \mathrm{n}_1 \\ \mathrm{l}_2 & \mathrm{~m}_2 & \mathrm{n}_2\end{array}\right\|}$
$=\left[\begin{array}{ccc}4+2 & 1-0 & -3-5 \\ 1 & -2 & 2 \\ 1 & 2 & 0\end{array}\right]$
$=\left[\begin{array}{ccc}\hat{\imath} & \hat{\jmath} & -k \\ 1 & -2 & 2 \\ 1 & 2 & 0\end{array}\right]$
$=\left[\begin{array}{ccc}6 & 1 & -8 \\ 1 & -2 & 2 \\ 1 & 2 & 0\end{array}\right]$
$=\frac{|-54|}{|-4 \hat{i}+2 \hat{j}+4 k|}$
$=\frac{54}{\sqrt{16+4+16}}$
$=\frac{54}{6}$
$=9$
Hence, the answer is 9

Example 5: If the shortest distance between the lines $\frac{x+\sqrt{6}}{2}=\frac{y-\sqrt{6}}{3}=\frac{z-\sqrt{6}}{4}$ and $\frac{x-\lambda}{3}=\frac{y-2 \sqrt{6}}{4}=\frac{z+2 \sqrt{6}}{5}$ is 6 , then the square of the sum of all possible values of $\lambda$ is [JEE MAINS 2023]

Solution

$
\begin{aligned}
& \mathrm{P}(-\sqrt{6}, \sqrt{6}, \sqrt{6}) \quad \mathrm{Q}(\lambda, 2 \sqrt{6},-2 \sqrt{6}) \\
& \overline{\mathrm{n}}_1=(2,3,4) \quad \overline{\mathrm{n}}_2=(3,4,5) \\
& \overline{\mathrm{n}}_1 \times \overline{\mathrm{n}}_2 \Rightarrow\left|\begin{array}{ccc}
\hat{\mathrm{i}} & \hat{\mathrm{j}} & \hat{\mathrm{k}} \\
2 & 3 & 4 \\
3 & 4 & 5
\end{array}\right|=\hat{\mathrm{i}}(-1)-\hat{\mathrm{j}}(-2)+\hat{k}(-1) \\
& =(-1,2,-1) \\
& \therefore \mathrm{S}_{\mathrm{d}}\left|\frac{\overline{\mathrm{PQ}} \cdot(-1,2,-1)}{\sqrt{6}}\right|=\frac{(\lambda+\sqrt{6}, \sqrt{6},-3 \sqrt{6}) \cdot(-1,2,-1)}{\sqrt{6}} \\
& =\left|\frac{-\lambda-\sqrt{6}+2 \sqrt{6}+3 \sqrt{6}}{\sqrt{6}}\right|=6 \\
& \Rightarrow|-\lambda+4 \sqrt{6}|=6 \sqrt{6} \\
& (+)-\lambda+4 \sqrt{6}=6 \sqrt{6} \\
& (-) \lambda-4 \sqrt{6}=6 \sqrt{6} \\
& \lambda=-2 \sqrt{6} \\
& \lambda=10 \sqrt{6} \\
& \therefore(8 \sqrt{6})^2=384
\end{aligned}
$

Frequently Asked Questions (FAQs)

1. What is the difference between parallel and intersecting lines?

When the direction vectors of the lines are parallel and the two lines never meet, then the lines are Parallel lines. whereas, when the direction vectors of the line are not parallel and the two lines intersect, then the lines are Intersecting lines.

2. What are skew lines?

When two lines are neither parallel nor intersecting at a point they are called skewed lines.

3. What is the line of shortest distance of skew lines?

If $\mathrm{L}_1$ and $\mathrm{L}_2$ are two skew lines, then there is one and only one line perpendicular to each of lines L1 and L2 which is known as the line of shortest distance.

4. What role does the dot product play in calculating the shortest distance?
The dot product is used to project vectors onto each other. In the shortest distance calculation, it's used to find the scalar projection of the vector between points on the lines onto the normal vector.
5. How does the parametric form of lines help in finding the shortest distance?
The parametric form expresses each point on a line in terms of a parameter. This allows us to represent all points on both lines, making it easier to find the pair of points that give the shortest distance.
6. Can parallel lines in 3D have a shortest distance?
Yes, parallel lines in 3D have a constant shortest distance everywhere along their length. This distance is the perpendicular distance between the lines and is the same at all points.
7. What is the relationship between the shortest distance and the common perpendicular to two lines?
The shortest distance vector is the common perpendicular to the two lines. It's the unique line segment that is perpendicular to both lines and connects them at their closest points.
8. Why can't we always use the distance formula between two points to find the shortest distance between lines?
The distance formula between two points only works if we know the exact points on each line that are closest to each other. For skew lines, these points aren't immediately obvious and require additional calculations.
9. Can the shortest distance between two lines be zero in 3D space?
Yes, the shortest distance can be zero if the lines intersect. However, unlike in 2D, two non-parallel lines in 3D don't necessarily intersect, so a zero distance is not as common as in 2D.
10. What happens to the shortest distance calculation if the lines are coplanar but not parallel?
If the lines are coplanar but not parallel, they will intersect. In this case, the shortest distance is zero, and the problem reduces to finding the point of intersection.
11. How does the angle between two lines affect their shortest distance?
The angle between the lines influences the shortest distance. Perpendicular lines often (but not always) have a simpler shortest distance calculation compared to lines at other angles.
12. How does the shortest distance change if one of the lines is rotated around a fixed point?
Rotating one line changes its direction vector and its relationship to the other line. This generally changes the shortest distance, except in special cases (like rotation around the point of closest approach).
13. How does the concept of vector projection relate to finding the shortest distance?
Vector projection is used to find the component of one vector along another. In this problem, we project the vector between points on the lines onto the normal vector to determine the shortest distance.
14. How does the concept of a skew quadrilateral relate to the shortest distance between two lines?
A skew quadrilateral is formed by connecting any two points on one line to any two points on the other line. The shortest distance between the lines is the shortest diagonal of all possible skew quadrilaterals formed this way.
15. What is the relationship between the shortest distance and the volume of the parallelepiped formed by vectors from the lines?
The volume of the parallelepiped formed by the direction vectors of the lines and a vector connecting points on the lines is equal to the product of the shortest distance and the magnitude of the cross product of the direction vectors.
16. How does the shortest distance between two lines change as they approach being parallel?
As two lines approach being parallel, their direction vectors become more aligned. This causes the magnitude of their cross product to approach zero, potentially leading to numerical instability in some calculation methods.
17. What is the role of vector algebra in simplifying the shortest distance calculations?
Vector algebra allows for compact representation and manipulation of 3D geometric relationships. It simplifies the expression of direction, perpendicularity, and projection, which are key concepts in finding the shortest distance.
18. How does the concept of linear independence relate to the shortest distance problem?
The direction vectors of the two lines and their cross product must be linearly independent for skew lines. This independence ensures that the lines are not coplanar and that a unique shortest distance exists.
19. What is meant by the shortest distance between two lines in 3D space?
The shortest distance between two lines in 3D space is the length of the perpendicular line segment that connects the two lines at their closest points. This segment is unique and represents the minimum distance between any two points on the lines.
20. What is the relationship between the shortest distance and the mutual perpendicular of two lines?
The shortest distance vector is the mutual perpendicular of the two lines. It's the unique line segment that is perpendicular to both lines and represents their closest approach.
21. What is the significance of the point of closest approach in this context?
The points of closest approach are the pair of points, one on each line, that are closest to each other. The line segment connecting these points represents the shortest distance between the lines.
22. What is the significance of the common normal to two lines in 3D space?
The common normal is the line that is perpendicular to both given lines. The segment of this common normal between the two lines represents the shortest distance between them.
23. What is the significance of the perpendicular distance from a point to a line in this context?
The perpendicular distance from a point to a line is a simpler case of the shortest distance problem. Understanding this concept helps in visualizing and solving the more complex case of distance between two lines.
24. What is the geometric interpretation of the shortest distance vector?
The shortest distance vector is perpendicular to both lines and represents the unique line segment that connects the two lines at their closest points. It's the shortest possible path between any two points on the lines.
25. How does the distance between two points on the lines change as we move along the lines?
As we move along the lines, the distance between points generally changes. The shortest distance occurs at a unique pair of points (except for parallel lines), and moving away from these points increases the distance.
26. How does the concept of a direction ratio relate to finding the shortest distance?
Direction ratios are proportional to the components of the direction vector. They help in setting up the parametric equations of the lines, which are crucial for finding the points of closest approach.
27. How does the concept of a position vector contribute to solving the shortest distance problem?
Position vectors represent points on the lines. The vector difference between position vectors on the two lines, when projected onto the normal vector, gives the shortest distance.
28. How does the method for finding the shortest distance change if one or both lines pass through the origin?
If a line passes through the origin, its parametric equation simplifies. This can make calculations easier, but the general approach remains the same. The key is to use the simplified equations in the standard formula.
29. How is the shortest distance between two lines different in 2D versus 3D?
In 2D, lines either intersect or are parallel. If they intersect, the shortest distance is zero. If parallel, the distance is constant everywhere. In 3D, lines can also be skew, neither intersecting nor parallel, making the shortest distance calculation more complex.
30. What is the significance of direction vectors in finding the shortest distance?
Direction vectors are crucial because they define the orientation of the lines in 3D space. The cross product of these vectors gives a perpendicular direction, which is key to finding the shortest distance between skew lines.
31. How does the concept of skew lines relate to the shortest distance problem?
Skew lines are non-intersecting, non-parallel lines in 3D space. The shortest distance between skew lines is always positive and represents the length of the unique perpendicular segment connecting the lines.
32. Can two lines in 3D space always intersect?
No, two lines in 3D space don't always intersect. They can be skew lines, which means they are neither parallel nor intersecting. The concept of shortest distance is particularly important for skew lines.
33. How does the concept of a normal vector apply to the shortest distance problem?
The normal vector, obtained by the cross product of the direction vectors of the two lines, is perpendicular to both lines. This vector defines the direction of the shortest distance between the lines.
34. How does the concept of a line of intersection of two planes relate to the shortest distance problem?
While not directly used in most shortest distance calculations, understanding the line of intersection of two planes can help in visualizing the 3D geometry and in some alternative solution methods.
35. What is the significance of the scalar triple product in this context?
The scalar triple product of the direction vectors of the two lines and the vector connecting points on the lines gives the volume of the parallelepiped formed by these vectors. This volume is used in the formula for the shortest distance.
36. What is the importance of the vector triple product in this context?
The vector triple product is used to find a vector perpendicular to two given vectors. In the shortest distance problem, it helps in finding the direction of the common perpendicular to the two lines.
37. What is the significance of the cross product of direction vectors in this problem?
The cross product of the direction vectors gives a vector perpendicular to both lines. This perpendicular vector is crucial in determining the direction of the shortest distance between the lines.
38. What role do direction cosines play in the shortest distance calculation?
Direction cosines are the cosines of angles that a line makes with the coordinate axes. They provide a normalized form of the direction vector, which can simplify some calculations in the shortest distance problem.
39. What is the importance of the normal plane in the shortest distance problem?
The normal plane is perpendicular to both lines and contains the shortest distance vector. It's the plane in which the closest points on both lines lie.
40. How does the magnitude of the direction vectors affect the shortest distance calculation?
The magnitude of the direction vectors doesn't affect the shortest distance itself, but it can impact the calculations. Using unit direction vectors can simplify some steps in the process.
41. What is the geometric interpretation of the scalar projection in this context?
The scalar projection represents the length of the shortest distance vector. It's the magnitude of the projection of the vector between points on the lines onto the normal vector.
42. How does the concept of a moment of a line about a point relate to the shortest distance problem?
The moment of a line about a point is the cross product of a position vector to any point on the line with the direction vector of the line. This concept is used in some methods to calculate the shortest distance.
43. How does the method for finding the shortest distance change if one of the lines is parallel to a coordinate axis?
If a line is parallel to a coordinate axis, one of its direction components will be zero, simplifying some calculations. The general approach remains the same, but the equations become simpler.
44. What is the importance of the vector equation of a line in solving the shortest distance problem?
The vector equation of a line provides a concise way to represent all points on the line using a single parameter. This form is often used in deriving and applying the formula for the shortest distance.
45. How does the method for finding the shortest distance change if the lines are given in general form instead of parametric form?
If lines are given in general form, they first need to be converted to parametric form. This involves identifying a point on each line and their direction vectors, which can then be used in the standard shortest distance formula.
46. What is the significance of the angle between the direction vectors in the shortest distance calculation?
The angle between the direction vectors affects the magnitude of their cross product, which is a key component in the shortest distance formula. Perpendicular direction vectors simplify the calculation.
47. How does the concept of a line perpendicular to a plane relate to the shortest distance problem?
The shortest distance vector is perpendicular to the plane containing both lines' direction vectors. Understanding how to find a line perpendicular to a plane is thus relevant to visualizing and solving this problem.
48. What is the importance of understanding vector operations like dot product and cross product in this context?
Dot product is used for projections and determining perpendicularity, while cross product gives perpendicular vectors and is used in the shortest distance formula. Both are fundamental to solving and understanding this problem.
49. How does the shortest distance between two lines relate to the distance between a point and a line in 3D?
The shortest distance between two lines is a generalization of the distance between a point and a line. If we consider one line as fixed and let the other degenerate to a point, we get the point-to-line distance problem.
50. What is the geometric interpretation of the vector form of the shortest distance formula?
The vector form of the shortest distance formula represents the projection of the vector between any two points on the lines onto the unit vector perpendicular to both lines. This projection gives both the magnitude and direction of the shortest distance.
51. How does the concept of a normal vector to a plane help in visualizing the shortest distance between two lines?
The normal vector to the plane containing both lines' direction vectors is parallel to the shortest distance vector. This helps in visualizing the orientation of the shortest distance in 3D space.
52. What is the significance of the scalar parameter in the parametric equations of the lines when finding the shortest distance?
The scalar parameters in the parametric equations represent the position along each line. Finding the specific parameter values that give the points of closest approach is a key step in many solution methods.
53. How does the principle of orthogonality apply to the shortest distance between two lines?
The principle of orthogonality is fundamental to this problem. The shortest distance vector must be orthogonal (perpendicular) to both lines, which is why the cross product of direction vectors is so important in the solution.

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