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Question: Define skew lines. Using only the vector approach, find the shortest distance between the following ...

Define skew lines. Using only the vector approach, find the shortest distance between the following two skew lines.
r=(8+3λ)i^(9+16λ)j^+(10+7λ)k^ r=15i^+29j^+5k^+μ(3i^+8j^5k^) \begin{aligned} & \vec{r}=\left( 8+3\lambda \right)\hat{i}-\left( 9+16\lambda \right)\hat{j}+\left( 10+7\lambda \right)\hat{k} \\\ & \vec{r}=15\hat{i}+29\hat{j}+5\hat{k}+\mu \left( 3\hat{i}+8\hat{j}-5\hat{k} \right) \\\ \end{aligned}

Explanation

Solution

Hint: The shortest distance between two skew line equations r1=a1+λb1{{\vec{r}}_{1}}={{\vec{a}}_{1}}+\lambda {{\vec{b}}_{1}} and r2=a2+μb2{{\vec{r}}_{2}}={{\vec{a}}_{2}}+\mu {{\vec{b}}_{2}} is (b1×b2).(a2a1)b1×b2\left| \dfrac{\left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right).\left( {{{\vec{a}}}_{2}}-{{{\vec{a}}}_{1}} \right)}{\left| {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right|} \right|. The vector (b1×b2)\left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) can be found by (b1×b2)=i^j^k^ b11b12b13 b21b22b23 \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right)=\left| \begin{matrix} {\hat{i}} & {\hat{j}} & {\hat{k}} \\\ {{b}_{11}} & {{b}_{12}} & {{b}_{13}} \\\ {{b}_{21}} & {{b}_{22}} & {{b}_{23}} \\\ \end{matrix} \right| , where b11,b12,b13{{b}_{11}},{{b}_{12}},{{b}_{13}} are the components of b1{{\vec{b}}_{1}} and b21,b22,b23{{b}_{21}},{{b}_{22}},{{b}_{23}} are the components of b2{{\vec{b}}_{2}} respectively.
Substituting all the values we can get the shortest distance.

Complete step-by-step answer:
We can define skew lines as follows,
Skew lines are straight lines in a three-dimensional form which are not parallel and do not cross.
Let’s consider the first skew line to be r1=(8+3λ)i^(9+16λ)j^+(10+7λ)k^....................(i){{\vec{r}}_{1}}=\left( 8+3\lambda \right)\hat{i}-\left( 9+16\lambda \right)\hat{j}+\left( 10+7\lambda \right)\hat{k}....................(i)
Let’s consider the second skew line to be r2=15i^+29j^+5k^+μ(3i^+8j^5k^)....................(ii){{\vec{r}}_{2}}=15\hat{i}+29\hat{j}+5\hat{k}+\mu \left( 3\hat{i}+8\hat{j}-5\hat{k} \right)....................(ii)
As we can see that both the equations are in different forms. Let us convert equation (i) in equation (ii) we get,
r1=8i^9j^+10k^+λ(3i^16j^+7k^)....................(iii){{\vec{r}}_{1}}=8\hat{i}-9\hat{j}+10\hat{k}+\lambda \left( 3\hat{i}-16\hat{j}+7\hat{k} \right)....................(iii)
Now, comparing equation (ii) and equation (iii) with r1=a1+λb1{{\vec{r}}_{1}}={{\vec{a}}_{1}}+\lambda {{\vec{b}}_{1}} and r2=a2+μb2{{\vec{r}}_{2}}={{\vec{a}}_{2}}+\mu {{\vec{b}}_{2}} we get the values to be as follows,
a1=8i^9j^+10k^...................(iv) b1=3i^16j^+7k^...................(v) a2=15i^+29j^+5k^...................(vi) b2=3i^+8j^5k^...................(vii) \begin{aligned} & {{{\vec{a}}}_{1}}=8\hat{i}-9\hat{j}+10\hat{k}...................(iv) \\\ & {{{\vec{b}}}_{1}}=3\hat{i}-16\hat{j}+7\hat{k}...................(v) \\\ & {{{\vec{a}}}_{2}}=15\hat{i}+29\hat{j}+5\hat{k}...................(vi) \\\ & {{{\vec{b}}}_{2}}=3\hat{i}+8\hat{j}-5\hat{k}...................(vii) \\\ \end{aligned}
The shortest distance between two skew line equations r1=a1+λb1{{\vec{r}}_{1}}={{\vec{a}}_{1}}+\lambda {{\vec{b}}_{1}} and r2=a2+μb2{{\vec{r}}_{2}}={{\vec{a}}_{2}}+\mu {{\vec{b}}_{2}} is (b1×b2).(a2a1)b1×b2\left| \dfrac{\left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right).\left( {{{\vec{a}}}_{2}}-{{{\vec{a}}}_{1}} \right)}{\left| {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right|} \right|
Let us first find the value of (a2a1)\left( {{{\vec{a}}}_{2}}-{{{\vec{a}}}_{1}} \right). Substituting the values from equation (vi) and (iv) we get,
(a2a1)=(15i^+29j^+5k^)(8i^9j^+10k^)\left( {{{\vec{a}}}_{2}}-{{{\vec{a}}}_{1}} \right)=\left( 15\hat{i}+29\hat{j}+5\hat{k} \right)-\left( 8\hat{i}-9\hat{j}+10\hat{k} \right)
Solving the equation, we get,
(a2a1)=(158)i^+(29(9))j^+(510)k^ (a2a1)=7i^+38j^5k^.....................(viii) \begin{aligned} & \left( {{{\vec{a}}}_{2}}-{{{\vec{a}}}_{1}} \right)=\left( 15-8 \right)\hat{i}+\left( 29-\left( -9 \right) \right)\hat{j}+\left( 5-10 \right)\hat{k} \\\ & \left( {{{\vec{a}}}_{2}}-{{{\vec{a}}}_{1}} \right)=7\hat{i}+38\hat{j}-5\hat{k}.....................(viii) \\\ \end{aligned}
Now, let's find the value of (b1×b2)\left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) . Substituting the values from the equation (v) and (vii) we get,
(b1×b2)=i^j^k^ 3167 385 \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right)=\left| \begin{matrix} {\hat{i}} & {\hat{j}} & {\hat{k}} \\\ 3 & -16 & 7 \\\ 3 & 8 & -5 \\\ \end{matrix} \right|
Solving the above equation we get,
(b1×b2)=[(16×5)(7×8)]i^[(3×5)(7×3)]j^+[(3×8)(3×16)]k^ (b1×b2)=[8056]i^[1521]j^+[24+48]k^ (b1×b2)=24i^+36j^+72k^....................(ix) \begin{aligned} & \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right)=\left[ \left( -16\times -5 \right)-\left( 7\times 8 \right) \right]\hat{i}-\left[ \left( 3\times -5 \right)-\left( 7\times 3 \right) \right]\hat{j}+\left[ \left( 3\times 8 \right)-\left( 3\times -16 \right) \right]\hat{k} \\\ & \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right)=\left[ 80-56 \right]\hat{i}-\left[ -15-21 \right]\hat{j}+\left[ 24+48 \right]\hat{k} \\\ & \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right)=24\hat{i}+36\hat{j}+72\hat{k}....................\left( ix \right) \\\ \end{aligned}
Now, let's find the value of (b1×b2)\left| \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) \right|.
The magnitude of the (b1×b2)\left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) can be found as follows,
(b1×b2)=(Coefficient of i^)2+(Coefficient of j^)2+(Coefficient of k^)2\left| \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) \right|=\sqrt{{{\left( \text{Coefficient of }\hat{i} \right)}^{2}}+{{\left( \text{Coefficient of }\hat{j} \right)}^{2}}+{{\left( \text{Coefficient of }\hat{k} \right)}^{2}}}
Finding the magnitude of the vector we get,
(b1×b2)=24i^+36j^+72k^\left| \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) \right|=\left| 24\hat{i}+36\hat{j}+72\hat{k} \right|
Solving the above equation we get,
(b1×b2)=242+362+722 (b1×b2)=7056 (b1×b2)=84.....................(x) \begin{aligned} & \left| \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) \right|=\sqrt{{{24}^{2}}+{{36}^{2}}+{{72}^{2}}} \\\ & \left| \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) \right|=\sqrt{7056} \\\ & \left| \left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) \right|=84.....................(x) \\\ \end{aligned}
Combining all the values and substituting in the formula we get,
The shortest distance =(b1×b2).(a2a1)b1×b2=(24i^+36j^+48k^).(7i^+38j^5k^)84=\left| \dfrac{\left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right).\left( {{{\vec{a}}}_{2}}-{{{\vec{a}}}_{1}} \right)}{\left| {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right|} \right|=\left| \dfrac{\left( 24\hat{i}+36\hat{j}+48\hat{k} \right).\left( 7\hat{i}+38\hat{j}-5\hat{k} \right)}{84} \right|
In the numerator, we need to find the dot product of two vectors. The formula for finding the dot product is as follows,
(a).(b)=(ax×bx)+(ay×by)+(az×bz)\left( {\vec{a}} \right).\left( {\vec{b}} \right)=\left( {{a}_{x}}\times {{b}_{x}} \right)+\left( {{a}_{y}}\times {{b}_{y}} \right)+\left( {{a}_{z}}\times {{b}_{z}} \right) where, ax,ay,az{{a}_{x}},{{a}_{y}},{{a}_{z}} are the x, y, z components of a\vec{a} and bx,by,bz{{b}_{x}},{{b}_{y}},{{b}_{z}} are the x, y, z components of b\vec{b} .
Solving the equation further,
=(24×7)+(36×38)+(48×5)84=192+136824084=1107units=\left| \dfrac{\left( 24\times 7 \right)+\left( 36\times 38 \right)+\left( 48\times -5 \right)}{84} \right|=\left| \dfrac{192+1368-240}{84} \right|=\dfrac{110}{7}\text{units} .
Therefore, the distance between the given lines is 1107\dfrac{110}{7}units.

Note: It is easily confused while interpreting the components of the a1,a2,b1,b2{{\vec{a}}_{1}},{{\vec{a}}_{2}},{{\vec{b}}_{1}},{{\vec{b}}_{2}} . If the final answer is negative, we need to write only the magnitude of the answer obtained. Another common mistake which can be made is that there is a by default negative sign while finding the jth{{j}^{th}} component of (b1×b2)\left( {{{\vec{b}}}_{1}}\times {{{\vec{b}}}_{2}} \right) . This is one of the rules while finding the determinant which needs to be taken care of.