Problem Analysis #13

22.21s
7,218 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] I'll:

  1. Find direction vector of L1 as cross product of normals of the two planes.
  2. Use that as direction for L2 through P, parametrize L2.
  3. Intersect L2 with plane Π to find Q.
  4. Compute foot of perpendicular R from P to Π using projection onto normal.
  5. Compute ℓ = |PQ| and A = area of triangle PQR = 0.5 * |PQ × PR|.
  6. Compute 4 * ℓ^2 * A^2 using Python for exact arithmetic. [/THOUGHT] [PYTHON] import sympy as sp

Define symbols

t = sp.symbols('t', real=True)

Given data

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

Plane Pi: 2x + y - 2z = 6

nPi = sp.Matrix([2,1,-2]) dPi = 6

1. Direction vector of L1: cross of n1 and n2

v = n1.cross(n2) v

print("Direction vector v:", v)

2. L2: line through P parallel to v

x, y, z = sp.symbols('x y z', real=True) X = sp.Matrix([x,y,z])

Parametric L2: X = P + t*v

X_param = sp.Matrix(P) + t*v

3. Intersection with plane Pi: solve 2x + y - 2z = 6

eq_plane = nPi.dot(X_param) - dPi t_solution = sp.solve(sp.Eq(eq_plane,0), t)[0] t_solution_simplified = sp.simplify(t_solution) print("t for intersection:", t_solution_simplified)

Q = sp.Matrix(P) + t_solution_simplified*v Q_simplified = sp.simplify(Q) print("Point Q:", Q_simplified)

4. Foot of perpendicular R from P to plane Pi

Formula: R = P - ((n·P - d)/|n|^2) * n, for plane n·X = d

P_vec = sp.Matrix(P) lambda_factor = (nPi.dot(P_vec) - dPi) / (nPi.dot(nPi)) R = P_vec - lambda_factor * nPi R_simplified = sp.simplify(R) print("Point R:", R_simplified)

5. Compute ℓ = |PQ| and area A of triangle PQR

PQ = Q_simplified - P_vec PR = R_simplified - P_vec

ell = sp.sqrt(PQ.dot(PQ)) print("ell^2:", sp.simplify(PQ.dot(PQ)))

cross_PQ_PR = PQ.cross(PR) area = sp.Rational(1,2) * sp.sqrt(cross_PQ_PR.dot(cross_PQ_PR)) print("Area^2:", sp.simplify((cross_PQ_PR.dot(cross_PQ_PR))/4))

6. Compute 4 * ell^2 * A^2

ell2 = sp.simplify(PQ.dot(PQ)) A2 = sp.simplify((cross_PQ_PR.dot(cross_PQ_PR))/4) expr = sp.simplify(4 * ell2 * A2) print("4 * ell^2 * A^2 =", expr)

Tool Output
[PYTHON OUTPUT] SyntaxError: invalid syntax (<string>, line 7) [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The previous code had a syntax error because I wrote sp Point instead of sp.Point. I'll fix that and rerun the computation for the direction vector, intersection point Q, foot R, and then compute 4 * ell^2 * A^2. [/THOUGHT] [PYTHON] import sympy as sp

Define symbols

t = sp.symbols('t', real=True)

Given data

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

Plane Pi: 2x + y - 2z = 6

nPi = sp.Matrix([2,1,-2]) dPi = 6

1. Direction vector of L1: cross of n1 and n2

v = n1.cross(n2) print("Direction vector v:", v)

2. L2: line through P parallel to v

P_vec = sp.Matrix(P) X_param = P_vec + t*v

3. Intersection with plane Pi: solve 2x + y - 2z = 6

eq_plane = nPi.dot(X_param) - dPi t_solution = sp.solve(sp.Eq(eq_plane,0), t)[0] t_solution_simplified = sp.simplify(t_solution) print("t for intersection:", t_solution_simplified)

Q = P_vec + t_solution_simplified*v Q_simplified = sp.simplify(Q) print("Point Q:", Q_simplified)

4. Foot of perpendicular R from P to plane Pi

Formula: R = P - ((n·P - d)/|n|^2) * n, for plane n·X = d

lambda_factor = (nPi.dot(P_vec) - dPi) / (nPi.dot(nPi)) R = P_vec - lambda_factor * nPi R_simplified = sp.simplify(R) print("Point R:", R_simplified)

5. Compute ℓ = |PQ| and area A of triangle PQR

PQ = Q_simplified - P_vec PR = R_simplified - P_vec

ell2 = sp.simplify(PQ.dot(PQ)) print("ell^2:", ell2)

cross_PQ_PR = PQ.cross(PR) A2 = sp.simplify((cross_PQ_PR.dot(cross_PQ_PR))/4) print("Area^2:", A2)

6. Compute 4 * ell^2 * A^2

expr = sp.simplify(4 * ell2 * A2) print("4 * ell^2 * A^2 =", expr)

Tool Output
[PYTHON OUTPUT] Direction vector v: Matrix([[1], [-1], [1]]) t for intersection: -9 Point Q: Matrix([[-7], [8], [-6]]) Point R: Matrix([[4], [0], [1]]) ell^2: 243 Area^2: 1053/2 4 * ell^2 * A^2 = 511758 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] Using the valid Python output, the value of (4\ell^2 A^2) is 511758. [ \boxed{511758} ]

Final Model Output
511758

Comparative Analysis (P13) (Average across runs)

Avg Time Taken

Deepseek-V3.2
97.6
Gemini-3-Pro-Preview
51.8
Llama-VARCO-8B-Instruct
51.0
Solar-Pro-2 (31B)(high)
38.9
A.X-4.0 (72B)
35.8
HCX-007(high)
35.3
Grok-4.1-fast
29.2
GPT-5.1 (high)
22.2
Claude-Opus-4.5
21.5
EXAONE-4.0.1-32B (high)
7.0

Avg Token Usage

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
A.X-4.0 (72B)
2921.0
Llama-VARCO-8B-Instruct
1020.0