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JEE Main 2023
Vector Algebra
Vector Algebra
Hard

Question

Let a=2i^j^+3k^, b=3i^5j^+k^\vec{a} = 2\hat{i} - \hat{j} + 3\hat{k}, \ \vec{b} = 3\hat{i} - 5\hat{j} + \hat{k} and c\vec{c} be a vector such that a×c=a×b=c×b\vec{a} \times \vec{c} = \vec{a} \times \vec{b} = \vec{c} \times \vec{b} and (a+c)(b+c)=168(\vec{a} + \vec{c}) \cdot (\vec{b} + \vec{c}) = 168. Then the maximum value of c2|\vec{c}|^2 is :

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Solution

1. Key Concepts and Formulas

  • Vector Cross Product Properties:
    • u×v=0\vec{u} \times \vec{v} = \vec{0} if u\vec{u} and v\vec{v} are parallel (collinear).
    • u×(vw)=u×vu×w\vec{u} \times (\vec{v} - \vec{w}) = \vec{u} \times \vec{v} - \vec{u} \times \vec{w} (Distributivity).
    • (uv)×w=u×wv×w(\vec{u} - \vec{v}) \times \vec{w} = \vec{u} \times \vec{w} - \vec{v} \times \vec{w} (Distributivity).
  • Vector Dot Product Properties:
    • u2=uu|\vec{u}|^2 = \vec{u} \cdot \vec{u}.
    • u(v+w)=uv+uw\vec{u} \cdot (\vec{v} + \vec{w}) = \vec{u} \cdot \vec{v} + \vec{u} \cdot \vec{w} (Distributivity).
    • u+v2=u2+v2+2uv|\vec{u} + \vec{v}|^2 = |\vec{u}|^2 + |\vec{v}|^2 + 2\vec{u} \cdot \vec{v}.
  • Linear Independence: If a\vec{a} and b\vec{b} are non-collinear, then pa+qb=0p\vec{a} + q\vec{b} = \vec{0} implies p=0p=0 and q=0q=0.

2. Step-by-Step Solution

Step 1: Analyze the given cross product conditions to establish a relationship for c\vec{c}. We are given a×c=a×b\vec{a} \times \vec{c} = \vec{a} \times \vec{b} and a×b=c×b\vec{a} \times \vec{b} = \vec{c} \times \vec{b}.

From the first condition, a×c=a×b\vec{a} \times \vec{c} = \vec{a} \times \vec{b}: a×ca×b=0\vec{a} \times \vec{c} - \vec{a} \times \vec{b} = \vec{0} Using the distributive property of the cross product: a×(cb)=0\vec{a} \times (\vec{c} - \vec{b}) = \vec{0} Since a\vec{a} is non-zero, this implies that (cb)(\vec{c} - \vec{b}) is parallel to a\vec{a}. Thus, we can write: cb=k1afor some scalar k1\vec{c} - \vec{b} = k_1 \vec{a} \quad \text{for some scalar } k_1 c=b+k1a() \vec{c} = \vec{b} + k_1 \vec{a} \quad (*)

From the second condition, a×b=c×b\vec{a} \times \vec{b} = \vec{c} \times \vec{b}: a×bc×b=0\vec{a} \times \vec{b} - \vec{c} \times \vec{b} = \vec{0} Rearranging the terms using anticommutativity (c×b=b×c\vec{c} \times \vec{b} = - \vec{b} \times \vec{c}): a×b+b×c=0\vec{a} \times \vec{b} + \vec{b} \times \vec{c} = \vec{0} This doesn't directly give us a useful form for c\vec{c} without further manipulation. Let's use the original form and rearrange: a×bc×b=0\vec{a} \times \vec{b} - \vec{c} \times \vec{b} = \vec{0} Using the distributive property: (ac)×b=0(\vec{a} - \vec{c}) \times \vec{b} = \vec{0} Since b\vec{b} is non-zero, this implies that (ac)(\vec{a} - \vec{c}) is parallel to b\vec{b}. Thus, we can write: ac=k2bfor some scalar k2\vec{a} - \vec{c} = k_2 \vec{b} \quad \text{for some scalar } k_2 c=ak2b() \vec{c} = \vec{a} - k_2 \vec{b} \quad (**)

Step 2: Equate the expressions for c\vec{c} to find the relationship between k1k_1 and k2k_2. From ()(*) and ()(**), we have: b+k1a=ak2b\vec{b} + k_1 \vec{a} = \vec{a} - k_2 \vec{b} Rearranging the terms to group a\vec{a} and b\vec{b}: k1aa+b+k2b=0k_1 \vec{a} - \vec{a} + \vec{b} + k_2 \vec{b} = \vec{0} (k11)a+(1+k2)b=0(k_1 - 1)\vec{a} + (1 + k_2)\vec{b} = \vec{0}

Step 3: Determine if a\vec{a} and b\vec{b} are collinear and use this to find k1k_1 and k2k_2. Given a=2i^j^+3k^\vec{a} = 2\hat{i} - \hat{j} + 3\hat{k} and b=3i^5j^+k^\vec{b} = 3\hat{i} - 5\hat{j} + \hat{k}. For a\vec{a} and b\vec{b} to be collinear, there must exist a scalar mm such that b=ma\vec{b} = m\vec{a}. Comparing components: 3=2m    m=3/23 = 2m \implies m = 3/2 5=m    m=5-5 = -m \implies m = 5 1=3m    m=1/31 = 3m \implies m = 1/3 Since the values of mm are inconsistent, a\vec{a} and b\vec{b} are not collinear (i.e., they are linearly independent).

Since a\vec{a} and b\vec{b} are linearly independent, for the equation (k11)a+(1+k2)b=0(k_1 - 1)\vec{a} + (1 + k_2)\vec{b} = \vec{0} to hold, the coefficients must be zero: k11=0    k1=1k_1 - 1 = 0 \implies k_1 = 1 1+k2=0    k2=11 + k_2 = 0 \implies k_2 = -1

Step 4: Find the explicit expression for c\vec{c}. Substitute k1=1k_1 = 1 into the expression c=b+k1a\vec{c} = \vec{b} + k_1 \vec{a}: c=b+1a\vec{c} = \vec{b} + 1 \cdot \vec{a} c=a+b\vec{c} = \vec{a} + \vec{b} This shows that c\vec{c} is uniquely determined as the sum of a\vec{a} and b\vec{b}.

Step 5: Calculate the components of c\vec{c} and its squared magnitude. Given a=2i^j^+3k^\vec{a} = 2\hat{i} - \hat{j} + 3\hat{k} and b=3i^5j^+k^\vec{b} = 3\hat{i} - 5\hat{j} + \hat{k}. c=a+b=(2i^j^+3k^)+(3i^5j^+k^)\vec{c} = \vec{a} + \vec{b} = (2\hat{i} - \hat{j} + 3\hat{k}) + (3\hat{i} - 5\hat{j} + \hat{k}) c=(2+3)i^+(15)j^+(3+1)k^\vec{c} = (2+3)\hat{i} + (-1-5)\hat{j} + (3+1)\hat{k} c=5i^6j^+4k^\vec{c} = 5\hat{i} - 6\hat{j} + 4\hat{k} Now, we calculate c2|\vec{c}|^2: c2=(5)2+(6)2+(4)2|\vec{c}|^2 = (5)^2 + (-6)^2 + (4)^2 c2=25+36+16|\vec{c}|^2 = 25 + 36 + 16 c2=77|\vec{c}|^2 = 77

Step 6: Verify the dot product condition using the determined c\vec{c}. The condition is (a+c)(b+c)=168(\vec{a} + \vec{c}) \cdot (\vec{b} + \vec{c}) = 168. Substitute c=a+b\vec{c} = \vec{a} + \vec{b}: (a+(a+b))(b+(a+b))=168(\vec{a} + (\vec{a} + \vec{b})) \cdot (\vec{b} + (\vec{a} + \vec{b})) = 168 (2a+b)(a+2b)=168(2\vec{a} + \vec{b}) \cdot (\vec{a} + 2\vec{b}) = 168 Expand the dot product: 2aa+4ab+ba+2bb=1682\vec{a} \cdot \vec{a} + 4\vec{a} \cdot \vec{b} + \vec{b} \cdot \vec{a} + 2\vec{b} \cdot \vec{b} = 168 2a2+5(ab)+2b2=1682|\vec{a}|^2 + 5(\vec{a} \cdot \vec{b}) + 2|\vec{b}|^2 = 168 Calculate the required terms: a2=22+(1)2+32=4+1+9=14|\vec{a}|^2 = 2^2 + (-1)^2 + 3^2 = 4 + 1 + 9 = 14. b2=32+(5)2+12=9+25+1=35|\vec{b}|^2 = 3^2 + (-5)^2 + 1^2 = 9 + 25 + 1 = 35. ab=(2)(3)+(1)(5)+(3)(1)=6+5+3=14\vec{a} \cdot \vec{b} = (2)(3) + (-1)(-5) + (3)(1) = 6 + 5 + 3 = 14. Substitute these values: 2(14)+5(14)+2(35)=28+70+70=1682(14) + 5(14) + 2(35) = 28 + 70 + 70 = 168 The condition is satisfied, confirming our expression for c\vec{c}.

3. Common Mistakes & Tips

  • Overlooking unique determination of c\vec{c}: A common mistake is to conclude from a×(cb)=0\vec{a} \times (\vec{c} - \vec{b}) = \vec{0} that cb=ka\vec{c} - \vec{b} = k\vec{a} and from (ac)×b=0(\vec{a} - \vec{c}) \times \vec{b} = \vec{0} that ac=mb\vec{a} - \vec{c} = m\vec{b}. However, simply combining these without considering linear independence of a\vec{a} and b\vec{b} can lead to errors. Using both conditions simultaneously and equating the forms of c\vec{c} is crucial.
  • Assuming c\vec{c} is parallel to a+b\vec{a} + \vec{b}: If one only considered (a+b)×c=0(\vec{a}+\vec{b}) \times \vec{c} = \vec{0} (which can be derived by adding cross products), it would imply c=λ(a+b)\vec{c} = \lambda(\vec{a}+\vec{b}), where λ\lambda could be any scalar. The given conditions uniquely fix λ=1\lambda=1.
  • Algebraic errors in dot product expansion: Carefully expanding (a+c)(b+c)(\vec{a} + \vec{c}) \cdot (\vec{b} + \vec{c}) requires attention to detail to avoid sign errors or missed terms.

4. Summary

The problem provides conditions involving vector cross products and a dot product. By analyzing the cross product conditions a×c=a×b\vec{a} \times \vec{c} = \vec{a} \times \vec{b} and a×b=c×b\vec{a} \times \vec{b} = \vec{c} \times \vec{b}, we deduced that cb\vec{c} - \vec{b} must be parallel to a\vec{a} and ac\vec{a} - \vec{c} must be parallel to b\vec{b}. By expressing c\vec{c} in two ways and using the linear independence of a\vec{a} and b\vec{b}, we uniquely determined that c=a+b\vec{c} = \vec{a} + \vec{b}. This result was verified using the given dot product condition. Finally, the magnitude squared of c\vec{c} was calculated. Since c\vec{c} is uniquely determined, its magnitude squared has a single value, which is thus the maximum value.

The maximum value of c2|\vec{c}|^2 is 7777.

5. Final Answer

The final answer is 77\boxed{77}.

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