Problem Analysis #13

31.49s
4,111 toks
Problem Statement

Let L1L_1 be the line of intersection of the planes given by the equations2x+3y+z=4andx+2y+z=5.2x + 3y + z = 4 \quad \text{and} \quad x + 2y + z = 5.Let L2L_2 be the line passing through the point P(2,1,3)P(2, -1, 3) and parallel to L1L_1. Let Π\Pi denote the plane given by the equation2x+y2z=6.2x + y - 2z = 6.Suppose that the line L2L_2 meets the plane Π\Pi at the point QQ. Let RR be the foot of the perpendicular drawn from PP to the plane Π\Pi.If the length of the line segment PQPQ is \ell and the area of PQR\triangle PQR is AA, find the value of 4$$\ell$$^2 A^2.\

Ground Truth
511758
Execution Trace
Reasoning Process

[THOUGHT] We need to solve a geometry problem step-by-step.

Given:

  • L1: intersection of planes 2x+3y+z=4 and x+2y+z=5.
  • L2: passes through P(2,-1,3) and parallel to L1.
  • Plane Π: 2x+y-2z=6.
  • L2 meets Π at Q.
  • R: foot of perpendicular from P to Π.
  • ℓ = length PQ.
  • A = area of triangle PQR.
  • Find 4ℓ² A².

We need to compute ℓ² and A², then compute 4ℓ² A².

Approach:

  1. Find direction vector of L1 by cross product of normals of given planes.
  2. Parametric equation of L2: P + t * d.
  3. Find intersection Q of L2 with Π by solving for t.
  4. Compute ℓ = distance between P and Q = |t| * |d|.
  5. Find foot R of perpendicular from P to Π.
  6. Compute area A of triangle PQR using cross product: A = 0.5 * |(Q-P) × (R-P)|.
  7. Compute 4ℓ² A².

Let's implement in Python using sympy for exact rational arithmetic.

Steps in code:

  • Define variables x, y, z.
  • Normals n1 = (2,3,1), n2 = (1,2,1).
  • Direction d = cross(n1, n2).
  • L2: (x,y,z) = (2, -1, 3) + t*d.
  • Substitute into Π: 2x + y - 2z = 6, solve for t.
  • Compute Q.
  • ℓ = distance between P and Q = |t| * |d|.
  • For foot R: formula for projection of point P onto plane Π. Plane: 2x + y - 2z = 6, normal n = (2,1,-2). R = P - ((2P[0] + P[1] - 2P[2] - 6) / (2^2+1^2+(-2)^2)) * n.
  • Compute vectors Q-P and R-P.
  • Area A = 0.5 * |cross(Q-P, R-P)|.
  • Compute 4 * ℓ2 * A2.

Let's do it.

[/PYTHON] [PYTHON] import sympy as sp

Define variables

x, y, z = sp.symbols('x y z')

Normals of the two planes for L1

n1 = sp.Matrix([2, 3, 1]) n2 = sp.Matrix([1, 2, 1])

Direction vector of L1

d = n1.cross(n2) print("Direction vector d of L1:", d)

Point P

P = sp.Matrix([2, -1, 3])

Parametric equation for L2: P + t*d

t = sp.symbols('t') L2 = P + t * d print("Parametric L2:", L2)

Plane Π: 2x + y - 2z = 6

plane_eq = 2x + y - 2z - 6

Substitute L2 into plane equation

eq_sub = plane_eq.subs({x: L2[0], y: L2[1], z: L2[2]}) print("Equation after substitution:", eq_sub)

Solve for t

t_val = sp.solve(eq_sub, t) print("t value:", t_val)

Intersection point Q

t_val = t_val[0] Q = L2.subs(t, t_val) print("Point Q:", Q)

Compute distance ℓ = |t| * |d|

d_norm = sp.sqrt(d.dot(d)) ell = sp.Abs(t_val) * d_norm print("ℓ (distance PQ):", ell)

Foot R of perpendicular from P to plane Π

n = sp.Matrix([2, 1, -2]) plane_const = 6

Distance factor

d_factor = (P[0]*n[0] + P[1]*n[1] + P[2]*n[2] - plane_const) / (n.dot(n)) R = P - d_factor * n print("Foot R:", R)

Vectors Q-P and R-P

v1 = Q - P v2 = R - P

Area A = 0.5 * |cross(v1, v2)|

cross_prod = v1.cross(v2) area = sp.Rational(1, 2) * sp.sqrt(cross_prod.dot(cross_prod)) print("Area A:", area)

Compute 4 * ℓ² * A²

ell_sq = ell2 A_sq = area2 result = 4 * ell_sq * A_sq print("4 * ℓ² * A²:", result) print("Simplified result:", sp.simplify(result)) [/PYTHON]

Tool Output
[PYTHON OUTPUT] Direction vector d of L1: Matrix([[1], [-1], [1]]) Parametric L2: Matrix([[t + 2], [-t - 1], [t + 3]]) Equation after substitution: -t - 9 t value: [-9] Point Q: Matrix([[-7], [8], [-6]]) ℓ (distance PQ): 9*sqrt(3) Foot R: Matrix([[4], [0], [1]]) Area A: 9*sqrt(26)/2 4 * ℓ² * A²: 511758 Simplified result: 511758 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output gives the simplified result 511758. That is the value of (4\ell^2 A^2). I will provide the final answer.

\boxed{511758}

Final Model Output
511758

Comparative Analysis (P13) (Average across runs)

Avg Time Taken

K-EXAONE-236B-A23B
479.1
Deepseek-V3.2
97.6
Kanana-2-30B-Thinking
71.3
Gemini-3-Pro-Preview
51.8
Llama-VARCO-8B-Instruct
51.0
Solar-Open-100B
48.1
Kanana-2-30B-Thinking-2601
45.8
Solar-Pro-2 (31B)(high)
38.9
A.X-4.0 (72B)
35.8
HCX-007(high)
35.3
K-EXAONE-236B-A23B
31.5
Grok-4.1-fast
29.2
GPT-5.1 (high)
22.2
Claude-Opus-4.5
21.5
GPT-5.2 (high)
11.5
axk1
10.7
EXAONE-4.0.1-32B (high)
7.0

Avg Token Usage

K-EXAONE-236B-A23B
51665.0
Kanana-2-30B-Thinking
11762.0
Kanana-2-30B-Thinking-2601
10529.5
Solar-Open-100B
10064.0
Solar-Pro-2 (31B)(high)
7713.0
Gemini-3-Pro-Preview
7454.0
GPT-5.1 (high)
7218.0
Grok-4.1-fast
6529.0
HCX-007(high)
5083.0
Claude-Opus-4.5
4957.0
Deepseek-V3.2
4661.0
EXAONE-4.0.1-32B (high)
4487.0
K-EXAONE-236B-A23B
4111.0
GPT-5.2 (high)
3541.0
axk1
3447.0
A.X-4.0 (72B)
2921.0
Llama-VARCO-8B-Instruct
1020.0