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JEE Main 2023
3D Geometry
3D Geometry
Easy

Question

Let L1:r=(i^j^+2k^)+λ(i^j^+2k^),λRL_1: \vec{r}=(\hat{i}-\hat{j}+2 \hat{k})+\lambda(\hat{i}-\hat{j}+2 \hat{k}), \lambda \in \mathbb{R}, L2:r=(j^k^)+μ(3i^+j^+pk^),μR, and L3:r=δ(i^+mj^+nk^),δRL_2: \vec{r}=(\hat{j}-\hat{k})+\mu(3 \hat{i}+\hat{j}+p \hat{k}), \mu \in \mathbb{R} \text {, and } L_3: \vec{r}=\delta(\ell \hat{i}+m \hat{j}+n \hat{k}), \delta \in \mathbb{R} be three lines such that L1L_1 is perpendicular to L2L_2 and L3L_3 is perpendicular to both L1L_1 and L2L_2. Then, the point which lies on L3L_3 is

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Solution

Key Concepts and Formulas

  1. Vector Equation of a Line: A line passing through a point with position vector a\vec{a} and parallel to a direction vector d\vec{d} is given by r=a+λd\vec{r} = \vec{a} + \lambda \vec{d}, where λ\lambda is a scalar parameter. The vector d\vec{d} is the direction vector of the line.
  2. Perpendicularity of Lines: Two lines are perpendicular if and only if their direction vectors are orthogonal. If d1\vec{d_1} and d2\vec{d_2} are the direction vectors of two lines, then their dot product is zero: d1d2=0\vec{d_1} \cdot \vec{d_2} = 0.
  3. Vector Perpendicular to Two Vectors: A vector that is perpendicular to two given non-parallel vectors a\vec{a} and b\vec{b} is parallel to their cross product, a×b\vec{a} \times \vec{b}. This property is crucial for finding the direction of a line perpendicular to two other lines.
  4. Line Passing Through the Origin: A line whose equation is of the form r=δd\vec{r} = \delta \vec{d} passes through the origin (0,0,0)(0,0,0) (when δ=0\delta=0) and has d\vec{d} as its direction vector. Any point on such a line will be a scalar multiple of its direction vector.

Step-by-Step Solution

Step 1: Identify the Direction Vectors of the Given Lines

  • What and Why: We extract the direction vectors from the given vector equations of the lines. This is the first step because the conditions of perpendicularity (and thus the core of the problem) relate directly to these direction vectors.

For line L1:r=(i^j^+2k^)+λ(i^j^+2k^)L_1: \vec{r}=(\hat{i}-\hat{j}+2 \hat{k})+\lambda(\hat{i}-\hat{j}+2 \hat{k}), the direction vector is: d1=i^j^+2k^\vec{d_1} = \hat{i}-\hat{j}+2 \hat{k} For line L2:r=(j^k^)+μ(3i^+j^+pk^)L_2: \vec{r}=(\hat{j}-\hat{k})+\mu(3 \hat{i}+\hat{j}+p \hat{k}), the direction vector is: d2=3i^+j^+pk^\vec{d_2} = 3 \hat{i}+\hat{j}+p \hat{k} For line L3:r=δ(i^+mj^+nk^)L_3: \vec{r}=\delta(\ell \hat{i}+m \hat{j}+n \hat{k}), the direction vector is: d3=i^+mj^+nk^\vec{d_3} = \ell \hat{i}+m \hat{j}+n \hat{k}

  • Reasoning: The coefficient of the scalar parameter (λ,μ,δ\lambda, \mu, \delta) in each line's equation represents its direction vector. We also note that L3L_3 passes through the origin (0,0,0)(0,0,0) because its position vector component is zero.

Step 2: Determine the Value of pp using the Perpendicularity of L1L_1 and L2L_2

  • What and Why: We are given that L1L_1 is perpendicular to L2L_2. This condition allows us to set up an equation using the dot product of their direction vectors, which will enable us to solve for the unknown parameter pp.

The dot product of their direction vectors must be zero: d1d2=0\vec{d_1} \cdot \vec{d_2} = 0 (i^j^+2k^)(3i^+j^+pk^)=0(\hat{i}-\hat{j}+2 \hat{k}) \cdot (3 \hat{i}+\hat{j}+p \hat{k}) = 0

  • Math: Recall that for A=Axi^+Ayj^+Azk^\vec{A} = A_x \hat{i} + A_y \hat{j} + A_z \hat{k} and B=Bxi^+Byj^+Bzk^\vec{B} = B_x \hat{i} + B_y \hat{j} + B_z \hat{k}, their dot product is AB=AxBx+AyBy+AzBz\vec{A} \cdot \vec{B} = A_x B_x + A_y B_y + A_z B_z. (1)(3)+(1)(1)+(2)(p)=0(1)(3) + (-1)(1) + (2)(p) = 0 31+2p=03 - 1 + 2p = 0 2+2p=02 + 2p = 0 2p=22p = -2 p=1p = -1
  • Reasoning: By applying the perpendicularity condition, we've successfully found the value of pp. Now we have the complete direction vector for L2L_2: d2=3i^+j^k^\vec{d_2} = 3 \hat{i}+\hat{j}-\hat{k}

Step 3: Determine the Direction Vector of L3L_3

  • What and Why: We are given that L3L_3 is perpendicular to both L1L_1 and L2L_2. This means its direction vector, d3\vec{d_3}, must be orthogonal to both d1\vec{d_1} and d2\vec{d_2}. A vector that is perpendicular to two non-parallel vectors is parallel to their cross product. Calculating the cross product of d1\vec{d_1} and d2\vec{d_2} will give us the direction of L3L_3.

The direction vector of L3L_3, d3\vec{d_3}, must be parallel to d1×d2\vec{d_1} \times \vec{d_2}. We can choose d3\vec{d_3} to be equal to d1×d2\vec{d_1} \times \vec{d_2} (or any non-zero scalar multiple of it) for simplicity.

  • Math: d1×d2=i^j^k^112311\vec{d_1} \times \vec{d_2} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & -1 & 2 \\ 3 & 1 & -1 \end{vmatrix} Recall the formula for a 3×33 \times 3 determinant: abcdefghi=a(eifh)b(difg)+c(dheg)\begin{vmatrix} a & b & c \\ d & e & f \\ g & h & i \end{vmatrix} = a(ei-fh) - b(di-fg) + c(dh-eg). =i^((1)(1)(2)(1))j^((1)(1)(2)(3))+k^((1)(1)(1)(3))= \hat{i}((-1)(-1) - (2)(1)) - \hat{j}((1)(-1) - (2)(3)) + \hat{k}((1)(1) - (-1)(3)) =i^(12)j^(16)+k^(1+3)= \hat{i}(1 - 2) - \hat{j}(-1 - 6) + \hat{k}(1 + 3) =i^(1)j^(7)+k^(4)= \hat{i}(-1) - \hat{j}(-7) + \hat{k}(4) =i^+7j^+4k^= -\hat{i} + 7\hat{j} + 4\hat{k}
  • Reasoning: So, the direction vector of L3L_3, (i^+mj^+nk^)(\ell \hat{i}+m \hat{j}+n \hat{k}), is parallel to (i^+7j^+4k^)(-\hat{i} + 7\hat{j} + 4\hat{k}). This means the coordinates (,m,n)(\ell, m, n) are proportional to (1,7,4)(-1, 7, 4).

Step 4: Find a Point that Lies on L3L_3

  • What and Why: The equation of line L3L_3 is given as r=δ(i^+mj^+nk^)\vec{r}=\delta(\ell \hat{i}+m \hat{j}+n \hat{k}). This form explicitly indicates that L3L_3 passes through the origin (0,0,0)(0,0,0) and its direction vector is (i^+mj^+nk^)(\ell \hat{i}+m \hat{j}+n \hat{k}). Therefore, any point on L3L_3 must be a scalar multiple of its direction vector. We will check the given options to find which one fits this criteria.

Since the direction vector of L3L_3 is parallel to (i^+7j^+4k^)(-\hat{i} + 7\hat{j} + 4\hat{k}), any point on L3L_3 can be represented as k(i^+7j^+4k^)k(-\hat{i} + 7\hat{j} + 4\hat{k}) for some scalar kRk \in \mathbb{R}. In coordinate form, a point on L3L_3 is of the form (k,7k,4k)(-k, 7k, 4k).

  • Checking Options:

    • (A) (1,7,4)(1, 7, -4): For this point to be on L3L_3, we would need 1=k1 = -k, 7=7k7 = 7k, and 4=4k-4 = 4k. From 1=k1 = -k, we get k=1k = -1. Substituting k=1k = -1 into 7=7k7 = 7k gives 7=7(1)=77 = 7(-1) = -7, which is false. Thus, option (A) is not a point on L3L_3.
    • (B) (1,7,4)(1, -7, 4): For this point to be on L3L_3, we would need 1=k1 = -k, 7=7k-7 = 7k, and 4=4k4 = 4k. From 1=k1 = -k, we get k=1k = -1. Substituting k=1k = -1 into 4=4k4 = 4k gives 4=4(1)=44 = 4(-1) = -4, which is false. Thus, option (B) is not a point on L3L_3.
    • (C) (1,7,4)(-1, 7, 4): For this point to be on L3L_3, we would need 1=k-1 = -k, 7=7k7 = 7k, and 4=4k4 = 4k. From 1=k-1 = -k, we get k=1k = 1. Substituting k=1k = 1 into 7=7k7 = 7k gives 7=7(1)=77 = 7(1) = 7, which is true. Substituting k=1k = 1 into 4=4k4 = 4k gives 4=4(1)=44 = 4(1) = 4, which is true. Since all conditions are satisfied for k=1k=1, the point (1,7,4)(-1, 7, 4) lies on L3L_3.
    • (D) (,17,4)(- , 1-7,4): This option is malformed. Even if interpreted as (1,7,4)(-1, -7, 4), it would not satisfy the conditions (as 7k7k would be 77, not 7-7).
  • Reasoning: Only option (C) provides a consistent scalar value k=1k=1 across all components when compared to the derived form of points on L3L_3. Therefore, (1,7,4)(-1, 7, 4) is the point that lies on L3L_3.


Common Mistakes & Tips

  • Cross Product Accuracy: Be extremely careful when calculating the cross product. A single sign error or incorrect determinant expansion can lead to a completely wrong direction vector.
  • Scalar Multiples: Remember that a line's direction vector is unique only up to a non-zero scalar multiple. When checking options, ensure the point is a consistent scalar multiple of your derived direction vector across all coordinates.
  • Line Through Origin: The form r=δd\vec{r} = \delta \vec{d} is specific: it means the line passes through the origin. This simplifies finding points on the line, as any point on it must be a direct scalar multiple of its direction vector.

Summary

We systematically determined the unknown parameter pp in L2L_2's direction vector by utilizing the perpendicularity condition between L1L_1 and L2L_2. Subsequently, we found the direction vector of L3L_3 by calculating the cross product of the direction vectors of L1L_1 and L2L_2, as L3L_3 is perpendicular to both. Finally, understanding that L3L_3 passes through the origin, we identified the option that represents a point lying on L3L_3 by verifying if it is a scalar multiple of L3L_3's direction vector. The point (1,7,4)(-1,7,4) satisfies all the given conditions.

The final answer is (C)\boxed{\text{(C)}}.

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