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JEE Main 2024
Vector Algebra
Vector Algebra
Medium

Question

Let v=αi^+2j^3k^,w=2αi^+j^k^\vec{v}=\alpha \hat{i}+2 \hat{j}-3 \hat{k}, \vec{w}=2 \alpha \hat{i}+\hat{j}-\hat{k} and u\vec{u} be a vector such that u=α>0|\vec{u}|=\alpha>0. If the minimum value of the scalar triple product \left[ {\matrix{ {\overrightarrow u } & {\overrightarrow v } & {\overrightarrow w } \cr } } \right] is α3401-\alpha \sqrt{3401}, and ui^2=mn|\vec{u} \cdot \hat{i}|^{2}=\frac{m}{n} where mm and nn are coprime natural numbers, then m+nm+n is equal to ____________.

Answer: 2

Solution

Key Concepts and Formulas

  • Scalar Triple Product (STP): For three vectors u\vec{u}, v\vec{v}, and w\vec{w}, the scalar triple product is given by [uvw]=u(v×w)[\vec{u} \vec{v} \vec{w}] = \vec{u} \cdot (\vec{v} \times \vec{w}). Geometrically, its absolute value represents the volume of the parallelepiped formed by these vectors.
  • STP in terms of Magnitudes and Angle: [uvw]=uv×wcosθ[\vec{u} \vec{v} \vec{w}] = |\vec{u}| |\vec{v} \times \vec{w}| \cos \theta, where θ\theta is the angle between u\vec{u} and (v×w)(\vec{v} \times \vec{w}).
  • Minimum/Maximum of STP: The minimum value of the STP occurs when cosθ=1\cos \theta = -1 (vectors are antiparallel), and the maximum value occurs when cosθ=1\cos \theta = 1 (vectors are parallel).
  • Vector Dot Product: ab=axbx+ayby+azbz\vec{a} \cdot \vec{b} = a_x b_x + a_y b_y + a_z b_z. Specifically, i^i^=1\hat{i} \cdot \hat{i} = 1, i^j^=0\hat{i} \cdot \hat{j} = 0, etc.
  • Magnitude of a Vector: For a vector a=axi^+ayj^+azk^\vec{a} = a_x \hat{i} + a_y \hat{j} + a_z \hat{k}, its magnitude is a=ax2+ay2+az2|\vec{a}| = \sqrt{a_x^2 + a_y^2 + a_z^2}.

Step-by-Step Solution

Step 1: Calculate the Cross Product v×w\vec{v} \times \vec{w} To evaluate the scalar triple product, we first need to compute the cross product of v\vec{v} and w\vec{w}. This vector is perpendicular to both v\vec{v} and w\vec{w}.

Given: v=αi^+2j^3k^\vec{v} = \alpha \hat{i} + 2 \hat{j} - 3 \hat{k} w=2αi^+j^k^\vec{w} = 2\alpha \hat{i} + \hat{j} - \hat{k}

The cross product is calculated using the determinant: v×w=i^j^k^α232α11\vec{v} \times \vec{w} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ \alpha & 2 & -3 \\ 2\alpha & 1 & -1 \end{vmatrix} Expanding the determinant: v×w=i^((2)(1)(3)(1))j^((α)(1)(3)(2α))+k^((α)(1)(2)(2α))\vec{v} \times \vec{w} = \hat{i} ((2)(-1) - (-3)(1)) - \hat{j} ((\alpha)(-1) - (-3)(2\alpha)) + \hat{k} ((\alpha)(1) - (2)(2\alpha)) v×w=i^(2+3)j^(α+6α)+k^(α4α)\vec{v} \times \vec{w} = \hat{i} (-2 + 3) - \hat{j} (-\alpha + 6\alpha) + \hat{k} (\alpha - 4\alpha) v×w=1i^5αj^3αk^\vec{v} \times \vec{w} = 1\hat{i} - 5\alpha\hat{j} - 3\alpha\hat{k} So, v×w=i^5αj^3αk^\vec{v} \times \vec{w} = \hat{i} - 5\alpha\hat{j} - 3\alpha\hat{k}.

Step 2: Calculate the Magnitude of v×w\vec{v} \times \vec{w} We need the magnitude of the cross product vector for the STP formula. v×w=(1)2+(5α)2+(3α)2|\vec{v} \times \vec{w}| = \sqrt{(1)^2 + (-5\alpha)^2 + (-3\alpha)^2} v×w=1+25α2+9α2|\vec{v} \times \vec{w}| = \sqrt{1 + 25\alpha^2 + 9\alpha^2} v×w=1+34α2|\vec{v} \times \vec{w}| = \sqrt{1 + 34\alpha^2}

Step 3: Express the Scalar Triple Product and Use the Minimum Value Condition The scalar triple product is given by [uvw]=u(v×w)[\vec{u} \vec{v} \vec{w}] = \vec{u} \cdot (\vec{v} \times \vec{w}). Using the formula with magnitudes and angle: [uvw]=uv×wcosθ[\vec{u} \vec{v} \vec{w}] = |\vec{u}| |\vec{v} \times \vec{w}| \cos \theta We are given u=α|\vec{u}| = \alpha and we found v×w=1+34α2|\vec{v} \times \vec{w}| = \sqrt{1 + 34\alpha^2}. So, the STP is: [uvw]=α1+34α2cosθ[\vec{u} \vec{v} \vec{w}] = \alpha \sqrt{1 + 34\alpha^2} \cos \theta We are given that the minimum value of the STP is α3401-\alpha \sqrt{3401}. Since α>0\alpha > 0 and 1+34α2\sqrt{1 + 34\alpha^2} is always positive, the minimum value of the expression is achieved when cosθ\cos \theta is at its minimum, which is 1-1. Setting cosθ=1\cos \theta = -1: [uvw]min=α1+34α2(1)=α1+34α2[\vec{u} \vec{v} \vec{w}]_{\min} = \alpha \sqrt{1 + 34\alpha^2} (-1) = -\alpha \sqrt{1 + 34\alpha^2} Equating this to the given minimum value: α1+34α2=α3401-\alpha \sqrt{1 + 34\alpha^2} = -\alpha \sqrt{3401} Since α>0\alpha > 0, we can divide both sides by α-\alpha: 1+34α2=3401\sqrt{1 + 34\alpha^2} = \sqrt{3401} Squaring both sides: 1+34α2=34011 + 34\alpha^2 = 3401 34α2=340034\alpha^2 = 3400 α2=340034=100\alpha^2 = \frac{3400}{34} = 100 Since α>0\alpha > 0, we have α=10\alpha = 10.

Step 4: Determine the Vector u\vec{u} The minimum value of the STP occurs when cosθ=1\cos \theta = -1, which means u\vec{u} is in the opposite direction to v×w\vec{v} \times \vec{w}. So, u\vec{u} is a unit vector in the direction of (v×w)-(\vec{v} \times \vec{w}), scaled by u=α|\vec{u}| = \alpha. u=u(v×wv×w)\vec{u} = |\vec{u}| \left( - \frac{\vec{v} \times \vec{w}}{|\vec{v} \times \vec{w}|} \right) We found α=10\alpha = 10, u=10|\vec{u}| = 10, and v×w=3401|\vec{v} \times \vec{w}| = \sqrt{3401}. From Step 1, v×w=i^5αj^3αk^\vec{v} \times \vec{w} = \hat{i} - 5\alpha\hat{j} - 3\alpha\hat{k}. Substituting α=10\alpha = 10: v×w=i^5(10)j^3(10)k^=i^50j^30k^\vec{v} \times \vec{w} = \hat{i} - 5(10)\hat{j} - 3(10)\hat{k} = \hat{i} - 50\hat{j} - 30\hat{k}. Now, substituting these into the expression for u\vec{u}: u=10(i^50j^30k^3401)\vec{u} = 10 \left( - \frac{\hat{i} - 50\hat{j} - 30\hat{k}}{\sqrt{3401}} \right) u=103401(i^50j^30k^)\vec{u} = \frac{-10}{\sqrt{3401}} (\hat{i} - 50\hat{j} - 30\hat{k})

Step 5: Calculate ui^2|\vec{u} \cdot \hat{i}|^2 and Find m+nm+n We need to compute ui^2|\vec{u} \cdot \hat{i}|^2. First, find the dot product ui^\vec{u} \cdot \hat{i}: ui^=(103401(i^50j^30k^))i^\vec{u} \cdot \hat{i} = \left( \frac{-10}{\sqrt{3401}} (\hat{i} - 50\hat{j} - 30\hat{k}) \right) \cdot \hat{i} ui^=103401((i^i^)50(j^i^)30(k^i^))\vec{u} \cdot \hat{i} = \frac{-10}{\sqrt{3401}} ((\hat{i} \cdot \hat{i}) - 50(\hat{j} \cdot \hat{i}) - 30(\hat{k} \cdot \hat{i})) Since i^i^=1\hat{i} \cdot \hat{i} = 1 and j^i^=k^i^=0\hat{j} \cdot \hat{i} = \hat{k} \cdot \hat{i} = 0: ui^=103401(100)=103401\vec{u} \cdot \hat{i} = \frac{-10}{\sqrt{3401}} (1 - 0 - 0) = \frac{-10}{\sqrt{3401}} Now, we square this value: ui^2=1034012=(10)2(3401)2=1003401|\vec{u} \cdot \hat{i}|^2 = \left| \frac{-10}{\sqrt{3401}} \right|^2 = \frac{(-10)^2}{(\sqrt{3401})^2} = \frac{100}{3401} We are given that ui^2=mn|\vec{u} \cdot \hat{i}|^2 = \frac{m}{n}, where mm and nn are coprime natural numbers. So, m=100m = 100 and n=3401n = 3401. We need to confirm that mm and nn are coprime. 100=22×52100 = 2^2 \times 5^2. The prime factors of 100 are 2 and 5. For n=3401n = 3401, it is not divisible by 2 (it's odd) or 5 (doesn't end in 0 or 5). Thus, 100 and 3401 share no common prime factors and are coprime. Finally, we calculate m+nm+n: m+n=100+3401=3501m+n = 100 + 3401 = 3501

Common Mistakes & Tips

  • Sign Errors in Cross Product: Carefully compute the determinant for the cross product, paying attention to the signs of the unit vectors and the terms within the determinant.
  • Minimum Value of STP: Remember that the minimum value of ux\vec{u} \cdot \vec{x} is ux-|\vec{u}||\vec{x}|, which occurs when u\vec{u} is antiparallel to x\vec{x}. This is key for problems involving minimum or maximum values of the scalar triple product.
  • Coprimality Check: Ensure that the numerator and denominator of the fraction mn\frac{m}{n} have no common factors before calculating m+nm+n.

Summary

The problem involves finding the minimum value of a scalar triple product and then using that information to determine the value of α\alpha. We first calculated the cross product v×w\vec{v} \times \vec{w} and its magnitude. By relating the minimum value of the scalar triple product to the condition cosθ=1\cos \theta = -1, we solved for α\alpha. Subsequently, we determined the vector u\vec{u} based on the direction dictated by the minimum STP. Finally, we computed ui^2|\vec{u} \cdot \hat{i}|^2, identified mm and nn, verified their coprimality, and calculated their sum.

The final answer is 3501\boxed{3501}.

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