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JEE Advanced 2023 · Three Dimensional Geometry

Let Q be the cube with the set of vertices {(x1,x2,x3)∈R3:x1,x2,x3∈{0,1}}\{(x_1, x_2, x_3) \in \mathbb{R}^3 : x_1, x_2, x_3 \in \{0,1\}\}. Let F be the set of all twelve lines containing the diagonals of the six faces of the cube Q. Let S be the set of all four lines containing the main diagonals of the cube Q; for instance, the line passing through the vertices (0,0,0)(0, 0, 0) and (1,1,1)(1, 1, 1) is in S. For lines ℓ1\ell_1 and ℓ2\ell_2, let d(ℓ1,ℓ2)d(\ell_1, \ell_2) denote the shortest distance between them. Then the maximum value of d(ℓ1,ℓ2)d(\ell_1, \ell_2), as ℓ1\ell_1 varies over F and ℓ2\ell_2 varies over S, is

Answer: A. 16\frac{1}{\sqrt{6}}

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Let Q be the cube with the set of vertices {(x₁, x₂, x₃) ∈ R³ : x₁, x₂, x₃ ∈ {0,1}}. Let F be the set of all twelve lines containing the diagonals of the six faces of the cube Q. Let S be the set of all four lines containing the main diagonals of the cube Q; for instance, the line passing through the vertices (0, 0, 0) and (1, 1, 1) is in S. For lines ell₁ and ell₂, let d(ell₁, ell₂) denote the shortest distance between them. Then the maximum value of d(ell₁, ell₂), as el

Given: Q={(x1,x2,x3):x1,x2,x3∈{0,1}}\text{Given: } Q = \{(x_1, x_2, x_3) : x_1, x_2, x_3 \in \{0,1\}\}

F={12 lines containing the face diagonals}F = \{\text{12 lines containing the face diagonals}\}

S={4 lines containing the main diagonals}S = \{\text{4 lines containing the main diagonals}\}

To find: max⁡ℓ1∈F, ℓ2∈Sd(ℓ1,ℓ2)\text{To find: } \max_{\ell_1 \in F,\ \ell_2 \in S} d(\ell_1, \ell_2)

Q:cube with vertices at {0,1}3Q: \text{cube with vertices at } \{0,1\}^3 M=OB: through (0,0,0) and (1,1,1)M = OB: \text{ through } (0,0,0) \text{ and } (1,1,1) u⃗=(1,1,1)\vec{u} = (1,1,1) F:12 face-diagonal lines (2 per face)F: \text{12 face-diagonal lines (2 per face)} Each face contains exactly one endpoint of M\text{Each face contains exactly one endpoint of } M Diagonal through it meets M⇒d=0\text{Diagonal through it meets } M \Rightarrow d = 0 The other 6 face diagonals are skew to M\text{The other 6 face diagonals are skew to } M D:(0,1,0) to (0,0,1);v⃗=(0,−1,1)D: (0,1,0)\ \text{to}\ (0,0,1);\quad \vec{v} = (0,-1,1) Plan: fix M by cube symmetry\text{Plan: fix } M \text{ by cube symmetry} 6 meet M⇒d=0;6 skew6 \text{ meet } M \Rightarrow d = 0; \quad 6 \text{ skew} compute d for one skew; symmetry⇒max⁡\text{compute } d \text{ for one skew}; \ \text{symmetry} \Rightarrow \max d=∣(P2−P1)⋅(u⃗×v⃗)∣∣u⃗×v⃗∣d = \dfrac{|(P_2 - P_1) \cdot (\vec{u} \times \vec{v})|}{|\vec{u} \times \vec{v}|} P1=O=(0,0,0),u⃗=(1,1,1)P_1 = O = (0,0,0), \quad \vec{u} = (1,1,1) P2=(0,1,0),v⃗=(0,−1,1)P_2 = (0,1,0), \quad \vec{v} = (0,-1,1) u⃗×v⃗=∣i^j^k^1110−11∣\vec{u} \times \vec{v} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 1 & 1 \\ 0 & -1 & 1 \end{vmatrix} =i^(1+1)−j^(1−0)+k^(−1−0)= \hat{i}(1+1) - \hat{j}(1-0) + \hat{k}(-1-0) u⃗×v⃗=(2,−1,−1)\vec{u} \times \vec{v} = (2,-1,-1) ∣u⃗×v⃗∣=4+1+1=6|\vec{u} \times \vec{v}| = \sqrt{4+1+1} = \sqrt{6} P2−P1=(0,1,0)P_2 - P_1 = (0,1,0) (P2−P1)⋅(u⃗×v⃗)=0+(−1)+0=−1(P_2 - P_1)\cdot(\vec{u}\times\vec{v}) = 0 + (-1) + 0 = -1 d=∣−1∣6=16d = \dfrac{|-1|}{\sqrt{6}} = \dfrac{1}{\sqrt{6}} P(13,13,13),Q(0,12,12)P\left(\tfrac13,\tfrac13,\tfrac13\right), \quad Q\left(0,\tfrac12,\tfrac12\right) PQ⃗=(−13,16,16)\vec{PQ} = \left(-\tfrac13,\tfrac16,\tfrac16\right) ∣PQ∣=19+136+136=16=16|PQ| = \sqrt{\tfrac19 + \tfrac1{36} + \tfrac1{36}} = \sqrt{\tfrac16} = \dfrac{1}{\sqrt{6}} 4 main diagonals equivalent by rotation of the cube\text{4 main diagonals equivalent by rotation of the cube} 6 skew face diagonals equivalent (fixing M)⇒same d\text{6 skew face diagonals equivalent (fixing } M) \Rightarrow \text{same } d max⁡d(ℓ1,ℓ2)=16 ⇒ option (1)\max d(\ell_1,\ell_2) = \dfrac{1}{\sqrt{6}} \ \Rightarrow\ \text{option } (1)

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