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JEE Main 2021
3D Geometry
3D Geometry
Medium

Question

If the line, x31=y+21=z+λ2{{x - 3} \over 1} = {{y + 2} \over { - 1}} = {{z + \lambda } \over { - 2}} lies in the plane, 2x−4y+3z=2, then the shortest distance between this line and the line, x112=y9=z4{{x - 1} \over {12}} = {y \over 9} = {z \over 4} is :

Options

Solution

1. Key Concepts and Formulas

  • Condition for a Line to Lie in a Plane: A line given by xx1l=yy1m=zz1n\frac{x-x_1}{l} = \frac{y-y_1}{m} = \frac{z-z_1}{n} (with a point P1(x1,y1,z1)P_1(x_1, y_1, z_1) and direction vector b=(l,m,n)\vec{b} = (l, m, n)) lies in a plane Ax+By+Cz=DAx+By+Cz=D (with normal vector n=(A,B,C)\vec{n} = (A, B, C)) if and only if:

    1. The point P1P_1 on the line satisfies the plane equation, i.e., Ax1+By1+Cz1=DAx_1+By_1+Cz_1=D.
    2. The direction vector of the line b\vec{b} is perpendicular to the normal vector of the plane n\vec{n}, i.e., bn=0\vec{b} \cdot \vec{n} = 0, or Al+Bm+Cn=0Al+Bm+Cn=0.
  • Shortest Distance Between Two Lines: For two lines L1:r=a1+tb1L_1: \vec{r} = \vec{a_1} + t\vec{b_1} and L2:r=a2+sb2L_2: \vec{r} = \vec{a_2} + s\vec{b_2}:

    • If the lines are skew (non-parallel and non-intersecting), the shortest distance dd is given by: d=(a2a1)(b1×b2)b1×b2d = \frac{|(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})|}{||\vec{b_1} \times \vec{b_2}||}
    • If the lines are coplanar (either parallel or intersecting), the shortest distance is 0 if they intersect, or calculated differently if they are parallel. If the scalar triple product (a2a1)(b1×b2)(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) is zero, the lines are coplanar. If they are also non-parallel, they must intersect, and the shortest distance is 0.

2. Step-by-Step Solution

Part 1: Finding the value of λ\lambda

We are given the line L1:x31=y+21=z+λ2L_1: \frac{x - 3}{1} = \frac{y + 2}{-1} = \frac{z + \lambda}{-2} and the plane P:2x4y+3z=2P: 2x - 4y + 3z = 2.

  • Step 1.1: Identify a point and direction vector for line L1L_1. From the equation of L1L_1, a point on the line is P1(3,2,λ)P_1(3, -2, -\lambda). The direction vector of L1L_1 is b1=(1,1,2)\vec{b_1} = (1, -1, -2).

  • Step 1.2: Identify the normal vector for the plane PP. From the equation of plane PP, the normal vector is n=(2,4,3)\vec{n} = (2, -4, 3).

  • Step 1.3: Apply the first condition for L1L_1 to lie in the plane PP. For L1L_1 to lie in PP, the point P1(3,2,λ)P_1(3, -2, -\lambda) must satisfy the plane's equation 2x4y+3z=22x - 4y + 3z = 2. Substitute the coordinates of P1P_1: 2(3)4(2)+3(λ)=22(3) - 4(-2) + 3(-\lambda) = 2 6+83λ=26 + 8 - 3\lambda = 2 143λ=214 - 3\lambda = 2 3λ=123\lambda = 12 λ=4\lambda = 4

  • Step 1.4: Apply the second condition for L1L_1 to lie in the plane PP (and verify). The direction vector of the line b1\vec{b_1} must be perpendicular to the normal vector of the plane n\vec{n}. Their dot product must be zero. Calculate b1n\vec{b_1} \cdot \vec{n}: (1,1,2)(2,4,3)=(1)(2)+(1)(4)+(2)(3)(1, -1, -2) \cdot (2, -4, 3) = (1)(2) + (-1)(-4) + (-2)(3) =2+46=0= 2 + 4 - 6 = 0 Since the dot product is 0, this condition is satisfied. This confirms that for λ=4\lambda=4, the line L1L_1 lies in the plane PP.

Part 2: Finding the shortest distance between the two lines

Now that we have λ=4\lambda = 4, the first line is L1:x31=y+21=z+42L_1: \frac{x - 3}{1} = \frac{y + 2}{-1} = \frac{z + 4}{-2}. The second line is L2:x112=y9=z4L_2: \frac{x - 1}{12} = \frac{y}{9} = \frac{z}{4}.

  • Step 2.1: Extract points and direction vectors for both lines. For L1L_1: a1=(3,2,4)\vec{a_1} = (3, -2, -4) and b1=(1,1,2)\vec{b_1} = (1, -1, -2). For L2L_2: a2=(1,0,0)\vec{a_2} = (1, 0, 0) and b2=(12,9,4)\vec{b_2} = (12, 9, 4).

  • Step 2.2: Check if line L2L_2 also lies in the same plane PP. This step is crucial for understanding the nature of the lines. Point P2(1,0,0)P_2(1,0,0) on L2L_2. Substitute into plane P:2x4y+3z=2P: 2x - 4y + 3z = 2: 2(1)4(0)+3(0)=20+0=22(1) - 4(0) + 3(0) = 2 - 0 + 0 = 2 The point P2P_2 satisfies the plane equation. Now, check if b2\vec{b_2} is perpendicular to n\vec{n}: b2n=(12,9,4)(2,4,3)=(12)(2)+(9)(4)+(4)(3)\vec{b_2} \cdot \vec{n} = (12, 9, 4) \cdot (2, -4, 3) = (12)(2) + (9)(-4) + (4)(3) =2436+12=0= 24 - 36 + 12 = 0 Since both conditions are met, the line L2L_2 also lies in the plane 2x4y+3z=22x - 4y + 3z = 2.

  • Step 2.3: Determine the relationship between L1L_1 and L2L_2. Both lines L1L_1 and L2L_2 lie in the same plane. Their direction vectors are b1=(1,1,2)\vec{b_1} = (1, -1, -2) and b2=(12,9,4)\vec{b_2} = (12, 9, 4). Since 1121924\frac{1}{12} \ne \frac{-1}{9} \ne \frac{-2}{4}, the direction vectors are not proportional, meaning the lines are not parallel. As both lines are coplanar and not parallel, they must intersect.

  • Step 2.4: Conclude the shortest distance. The shortest distance between two intersecting lines is always 0.

    (For completeness, we can also use the shortest distance formula for skew lines and observe the result):

    • Calculate (a2a1)(\vec{a_2} - \vec{a_1}): a2a1=(13,0(2),0(4))=(2,2,4)\vec{a_2} - \vec{a_1} = (1 - 3, 0 - (-2), 0 - (-4)) = (-2, 2, 4)
    • Calculate the cross product (b1×b2)(\vec{b_1} \times \vec{b_2}): b1×b2=ijk1121294=i((1)(4)(9)(2))j((1)(4)(12)(2))+k((1)(9)(12)(1))\vec{b_1} \times \vec{b_2} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 1 & -1 & -2 \\ 12 & 9 & 4 \end{vmatrix} = \mathbf{i}((-1)(4) - (9)(-2)) - \mathbf{j}((1)(4) - (12)(-2)) + \mathbf{k}((1)(9) - (12)(-1)) =i(4+18)j(4+24)+k(9+12)=14i28j+21k=(14,28,21)= \mathbf{i}(-4 + 18) - \mathbf{j}(4 + 24) + \mathbf{k}(9 + 12) = 14\mathbf{i} - 28\mathbf{j} + 21\mathbf{k} = (14, -28, 21)
    • Calculate the scalar triple product (a2a1)(b1×b2)(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}): (2,2,4)(14,28,21)=(2)(14)+(2)(28)+(4)(21)(-2, 2, 4) \cdot (14, -28, 21) = (-2)(14) + (2)(-28) + (4)(21) =2856+84=84+84=0= -28 - 56 + 84 = -84 + 84 = 0
    • Calculate the magnitude of the cross product b1×b2||\vec{b_1} \times \vec{b_2}||: b1×b2=(14,28,21)=142+(28)2+212=196+784+441=1421||\vec{b_1} \times \vec{b_2}|| = ||(14, -28, 21)|| = \sqrt{14^2 + (-28)^2 + 21^2} = \sqrt{196 + 784 + 441} = \sqrt{1421}
    • Substitute values into the shortest distance formula: d=(a2a1)(b1×b2)b1×b2=01421=0d = \frac{|(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})|}{||\vec{b_1} \times \vec{b_2}||} = \frac{|0|}{\sqrt{1421}} = 0

3. Common Mistakes & Tips

  • Verifying both conditions for a line in a plane: Always check both that a point on the line satisfies the plane equation and that the line's direction vector is perpendicular to the plane's normal vector.
  • Vector Arithmetic: Be meticulous with vector calculations, especially cross products and dot products, as sign errors are very common.
  • Interpreting Shortest Distance: If the scalar triple product (a2a1)(b1×b2)(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) is zero for two non-parallel lines, it implies that the lines are coplanar and thus intersect. The shortest distance between intersecting lines is always 0.

4. Summary

We first determined the value of λ\lambda by applying the conditions for a line to lie within a plane. This yielded λ=4\lambda=4. Then, we analyzed the relationship between the two lines. We found that both lines lie in the same plane and are not parallel. This implies that they must intersect. We confirmed this by calculating the scalar triple product using the shortest distance formula, which resulted in zero. Therefore, the shortest distance between the two lines is 0.

5. Final Answer

The final answer is 0\boxed{0}, which corresponds to option (C).

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