arthham

JEE Advanced 2023 · Introduction to Three Dimensional Geometry

Let QQ be the cube with the set of vertices {(x1,x2,x3)∈R3:x1,x2,x3∈{0,1}}\left\{(x_{1}, x_{2}, x_{3}) \in \mathbb{R}^{3} : x_{1}, x_{2}, x_{3} \in \{0, 1\}\right\}. Let FF be the set of all twelve lines containing the diagonals of the six faces of the cube QQ. Let SS be the set of all four lines containing the main diagonals of the cube QQ; for instance, the line passing through the vertices (0,0,0)(0, 0, 0) and (1,1,1)(1, 1, 1) is in SS. 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 FF and ℓ2\ell_{2} varies over SS, 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, e

Q={0,1}3Q = \{0,1\}^3

F=12 lines through face diagonalsF = \text{12 lines through face diagonals}

S=4 main-diagonal linesS = \text{4 main-diagonal lines}

d(ℓ1,ℓ2)=shortest distanced(\ell_1,\ell_2) = \text{shortest distance}

max⁡d(ℓ1,ℓ2),ℓ1∈F, ℓ2∈S\max d(\ell_1,\ell_2),\quad \ell_1 \in F,\ \ell_2 \in S

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

8 vertices, edge length 1\text{8 vertices, edge length } 1

S: 4 body diagonalsS:\ \text{4 body diagonals}

dirs (1,1,1), (1,1,−1), (1,−1,1), (1,−1,−1)\text{dirs } (1,1,1),\ (1,1,-1),\ (1,-1,1),\ (1,-1,-1)

F: 12 face diagonals (2 per face)F:\ 12 \text{ face diagonals }(2 \text{ per face})

face diagonal shares vertices with 2 body diagonals⇒d=0\text{face diagonal shares vertices with 2 body diagonals} \Rightarrow d=0

skew to the other 2⇒max comes from these\text{skew to the other 2} \Rightarrow \text{max comes from these}

d=∣(B⃗−A⃗)⋅(u⃗×v⃗)∣∣u⃗×v⃗∣d = \dfrac{|(\vec B - \vec A)\cdot(\vec u \times \vec v)|}{|\vec u \times \vec v|}

A=(0,0,0), u⃗=(1,1,1);B=(1,0,0), v⃗=(−1,0,1)A=(0,0,0),\ \vec u=(1,1,1);\quad B=(1,0,0),\ \vec v=(-1,0,1)

u⃗ × v⃗ = î ĵ k̂ 1 1 1 -1 0 1

=i^(1)−j^(2)+k^(1)=(1,−2,1)= \hat{i}(1) - \hat{j}(2) + \hat{k}(1) = (1,-2,1)

∣u⃗×v⃗∣=1+4+1=6|\vec u \times \vec v| = \sqrt{1+4+1} = \sqrt{6}

B⃗−A⃗=(1,0,0)\vec B - \vec A = (1,0,0)

(B⃗−A⃗)⋅(u⃗×v⃗)=1(1)+0(−2)+0(1)=1(\vec B-\vec A)\cdot(\vec u\times\vec v) = 1(1)+0(-2)+0(1) = 1

d=∣1∣6=16d = \dfrac{|1|}{\sqrt{6}} = \dfrac{1}{\sqrt{6}}

max⁡d=16\max d = \dfrac{1}{\sqrt{6}}

option (1)16\boxed{\text{option (1)}\quad \dfrac{1}{\sqrt{6}}}

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