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JEE Main 2023
Vector Algebra
Vector Algebra
Medium

Question

The sum of all values of α\alpha, for which the points whose position vectors are i^2j^+3k^,2i^3j^+4k^,(α+1)i^+2k^\hat{i}-2 \hat{j}+3 \hat{k}, 2 \hat{i}-3 \hat{j}+4 \hat{k},(\alpha+1) \hat{i}+2 \hat{k} and 9i^+(α8)j^+6k^9 \hat{i}+(\alpha-8) \hat{j}+6 \hat{k} are coplanar, is equal to :

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Solution

Key Concepts and Formulas

  • Coplanarity of Four Points: Four points A,B,C,DA, B, C, D are coplanar if the vectors formed by taking one point as the origin and connecting it to the other three points are coplanar. For example, if we choose point AA, then AB,AC,AD\vec{AB}, \vec{AC}, \vec{AD} must be coplanar.
  • Coplanarity of Three Vectors: Three vectors u,v,w\vec{u}, \vec{v}, \vec{w} are coplanar if their scalar triple product (STP) is zero: [u,v,w]=u(v×w)=0[\vec{u}, \vec{v}, \vec{w}] = \vec{u} \cdot (\vec{v} \times \vec{w}) = 0.
  • Scalar Triple Product as a Determinant: The scalar triple product of three vectors with components (x1,y1,z1),(x2,y2,z2),(x3,y3,z3)(x_1, y_1, z_1), (x_2, y_2, z_2), (x_3, y_3, z_3) is given by the determinant: x1y1z1x2y2z2x3y3z3\begin{vmatrix} x_1 & y_1 & z_1 \\ x_2 & y_2 & z_2 \\ x_3 & y_3 & z_3 \end{vmatrix}
  • Vector Subtraction: If OA\vec{OA} and OB\vec{OB} are position vectors of points AA and BB, then AB=OBOA\vec{AB} = \vec{OB} - \vec{OA}.

Step-by-Step Solution

Step 1: Define the Position Vectors of the Given Points Let the four given points be P1,P2,P3,P4P_1, P_2, P_3, P_4. Their position vectors from the origin OO are:

  • OP1=i^2j^+3k^\vec{OP_1} = \hat{i} - 2\hat{j} + 3\hat{k}
  • OP2=2i^3j^+4k^\vec{OP_2} = 2\hat{i} - 3\hat{j} + 4\hat{k}
  • OP3=(α+1)i^+0j^+2k^\vec{OP_3} = (\alpha+1)\hat{i} + 0\hat{j} + 2\hat{k} (Note: the coefficient of j^\hat{j} is 0)
  • OP4=9i^+(α8)j^+6k^\vec{OP_4} = 9\hat{i} + (\alpha-8)\hat{j} + 6\hat{k}

Step 2: Form Three Vectors from a Common Point To check for coplanarity, we form three vectors originating from one of the points. Let's choose P1P_1 as the common point. We will compute the vectors P1P2\vec{P_1P_2}, P1P3\vec{P_1P_3}, and P1P4\vec{P_1P_4}.

  • Vector P1P2\vec{P_1P_2}: P1P2=OP2OP1=(2i^3j^+4k^)(i^2j^+3k^)\vec{P_1P_2} = \vec{OP_2} - \vec{OP_1} = (2\hat{i} - 3\hat{j} + 4\hat{k}) - (\hat{i} - 2\hat{j} + 3\hat{k}) P1P2=(21)i^+(3(2))j^+(43)k^=i^j^+k^\vec{P_1P_2} = (2-1)\hat{i} + (-3 - (-2))\hat{j} + (4-3)\hat{k} = \hat{i} - \hat{j} + \hat{k}

  • Vector P1P3\vec{P_1P_3}: P1P3=OP3OP1=((α+1)i^+2k^)(i^2j^+3k^)\vec{P_1P_3} = \vec{OP_3} - \vec{OP_1} = ((\alpha+1)\hat{i} + 2\hat{k}) - (\hat{i} - 2\hat{j} + 3\hat{k}) P1P3=((α+1)1)i^(0(2))j^+(23)k^=αi^2j^k^\vec{P_1P_3} = ((\alpha+1)-1)\hat{i} - (0 - (-2))\hat{j} + (2-3)\hat{k} = \alpha\hat{i} - 2\hat{j} - \hat{k} Correction: Let's re-calculate P1P3\vec{P_1P_3} carefully. P1P3=((α+1)i^+0j^+2k^)(i^2j^+3k^)\vec{P_1P_3} = ((\alpha+1)\hat{i} + 0\hat{j} + 2\hat{k}) - (\hat{i} - 2\hat{j} + 3\hat{k}) P1P3=((α+1)1)i^+(0(2))j^+(23)k^=αi^+2j^k^\vec{P_1P_3} = ((\alpha+1)-1)\hat{i} + (0 - (-2))\hat{j} + (2-3)\hat{k} = \alpha\hat{i} + 2\hat{j} - \hat{k} This matches the original solution's calculation for AC\vec{AC} which corresponds to P1P3\vec{P_1P_3}.

  • Vector P1P4\vec{P_1P_4}: P1P4=OP4OP1=(9i^+(α8)j^+6k^)(i^2j^+3k^)\vec{P_1P_4} = \vec{OP_4} - \vec{OP_1} = (9\hat{i} + (\alpha-8)\hat{j} + 6\hat{k}) - (\hat{i} - 2\hat{j} + 3\hat{k}) P1P4=(91)i^+((α8)(2))j^+(63)k^\vec{P_1P_4} = (9-1)\hat{i} + ((\alpha-8) - (-2))\hat{j} + (6-3)\hat{k} P1P4=8i^+(α8+2)j^+3k^=8i^+(α6)j^+3k^\vec{P_1P_4} = 8\hat{i} + (\alpha-8+2)\hat{j} + 3\hat{k} = 8\hat{i} + (\alpha-6)\hat{j} + 3\hat{k}

Step 3: Apply the Coplanarity Condition Since the four points are coplanar, the three vectors P1P2\vec{P_1P_2}, P1P3\vec{P_1P_3}, and P1P4\vec{P_1P_4} must be coplanar. Their scalar triple product must be zero. We express this using a determinant: 111α218α63=0\begin{vmatrix} 1 & -1 & 1 \\ \alpha & 2 & -1 \\ 8 & \alpha-6 & 3 \end{vmatrix} = 0

Step 4: Evaluate the Determinant Expand the determinant along the first row: 121α63(1)α183+1α28α6=01 \cdot \begin{vmatrix} 2 & -1 \\ \alpha-6 & 3 \end{vmatrix} - (-1) \cdot \begin{vmatrix} \alpha & -1 \\ 8 & 3 \end{vmatrix} + 1 \cdot \begin{vmatrix} \alpha & 2 \\ 8 & \alpha-6 \end{vmatrix} = 0 Calculate each 2×22 \times 2 determinant:

  • (2)(3)(1)(α6)=6(α+6)=6+α6=α(2)(3) - (-1)(\alpha-6) = 6 - (-\alpha+6) = 6 + \alpha - 6 = \alpha
  • (α)(3)(1)(8)=3α+8(\alpha)(3) - (-1)(8) = 3\alpha + 8
  • (α)(α6)(2)(8)=α26α16(\alpha)(\alpha-6) - (2)(8) = \alpha^2 - 6\alpha - 16

Substitute these values back into the determinant expansion: 1(α)+1(3α+8)+1(α26α16)=01 \cdot (\alpha) + 1 \cdot (3\alpha + 8) + 1 \cdot (\alpha^2 - 6\alpha - 16) = 0 α+3α+8+α26α16=0\alpha + 3\alpha + 8 + \alpha^2 - 6\alpha - 16 = 0

Step 5: Simplify and Solve the Quadratic Equation Combine like terms to form a quadratic equation in α\alpha: α2+(α+3α6α)+(816)=0\alpha^2 + (\alpha + 3\alpha - 6\alpha) + (8 - 16) = 0 α22α8=0\alpha^2 - 2\alpha - 8 = 0 Factor the quadratic equation: We look for two numbers that multiply to 8-8 and add to 2-2. These numbers are 4-4 and 22. (α4)(α+2)=0(\alpha - 4)(\alpha + 2) = 0 This yields two possible values for α\alpha:

  • α4=0    α=4\alpha - 4 = 0 \implies \alpha = 4
  • α+2=0    α=2\alpha + 2 = 0 \implies \alpha = -2

Step 6: Calculate the Sum of All Values of α\alpha The problem asks for the sum of all possible values of α\alpha. Sum =4+(2)=2= 4 + (-2) = 2.


Common Mistakes & Tips

  • Vector Subtraction Errors: Be meticulous when subtracting position vectors. Ensure the components are subtracted in the correct order (OBOA\vec{OB} - \vec{OA}).
  • Determinant Calculation: Double-check the signs and products when expanding the 3×33 \times 3 determinant. A common mistake is miscalculating the cofactors or their signs.
  • Quadratic Equation Roots: If you form a quadratic equation, you can use Vieta's formulas to find the sum of the roots directly. For an equation aα2+bα+c=0a\alpha^2 + b\alpha + c = 0, the sum of roots is b/a-b/a. In this case, for α22α8=0\alpha^2 - 2\alpha - 8 = 0, the sum of roots is (2)/1=2-(-2)/1 = 2.

Summary

The condition for four points to be coplanar is that the scalar triple product of the three vectors formed by taking one point as the origin and connecting it to the other three points must be zero. This condition translates into evaluating a 3×33 \times 3 determinant, which, in this case, results in a quadratic equation in α\alpha. Solving this quadratic equation gives the possible values of α\alpha, and their sum is the required answer.

The final answer is 2\boxed{2}.

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