Problem Analysis #29

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8,560 toks
Problem Statement

Consider the point A(2,0)A(-2,0) in the coordinate plane. Suppose two points PP and QQ satisfy the following conditions:

  • [(i)] The vectors AP\overrightarrow{AP} and AQ\overrightarrow{AQ} are parallel.
  • [(ii)] The dot product satisfies APAQ=9\overrightarrow{AP} \cdot \overrightarrow{AQ} = 9. Let the two circlesC1:x2+y2=1,\qquadC2:(x+1)2+y2=1C_{1} : x^{2} + y^{2} = 1, \qquadC_{2} : (x+1)^{2} + y^{2} = 1intersect at two distinct points R1R_{1} and R2R_{2}.Consider the region R\mathcal{R} consisting of the arc R1OR2R_{1}O'R_{2} of circle C1C_{1},which contains the point O(1,0)O'(-1,0), together with the arc R1OR2R_{1}OR_{2} of circle C2C_{2},which contains the point O(0,0)O(0,0).When the point PP moves along the region R\mathcal{R}, let kk denote the total lengthof the locus traced by the corresponding point QQ.For any real number ss, let s\lfloor s \rfloor denote the greatest integer less than or equal to ss.Determine the value of k\lfloor k \rfloor.
Ground Truth
17
Execution Trace
Reasoning Process

[PYTHON] import numpy as np

def invert_point(p): # Center A(-2, 0), Power 9 # Q = A + 9 * (P - A) / |P - A|^2 x, y = p dx = x - (-2) dy = y - 0 dist_sq = dx2 + dy2 scale = 9.0 / dist_sq qx = -2 + scale * dx qy = scale * dy return np.array([qx, qy])

Define points

R1 = np.array([-0.5, np.sqrt(3)/2]) R2 = np.array([-0.5, -np.sqrt(3)/2]) O_prime = np.array([-1, 0]) # On C1 O = np.array([0, 0]) # On C2

Map points

R1_prime = invert_point(R1) R2_prime = invert_point(R2) O_prime_mapped = invert_point(O_prime) # Image of O' O_mapped = invert_point(O) # Image of O

print(f"R1': {R1_prime}") print(f"R2': {R2_prime}") print(f"O' mapped: {O_prime_mapped}") print(f"O mapped: {O_mapped}")

Function to find circle from 3 points

def circle_from_3_points(p1, p2, p3): x1, y1 = p1 x2, y2 = p2 x3, y3 = p3

D = 2 * (x1 * (y2 - y3) + x2 * (y3 - y1) + x3 * (y1 - y2))
center_x = ((x1**2 + y1**2) * (y2 - y3) + (x2**2 + y2**2) * (y3 - y1) + (x3**2 + y3**2) * (y1 - y2)) / D
center_y = ((x1**2 + y1**2) * (x3 - x2) + (x2**2 + y2**2) * (x1 - x3) + (x3**2 + y3**2) * (x2 - x1)) / D

radius = np.sqrt((center_x - x1)**2 + (center_y - y1)**2)
return (center_x, center_y), radius

Image Circle 1 (from R1, R2, O')

Note: R1, R2 are on both. O' is on C1.

center1, radius1 = circle_from_3_points(R1_prime, R2_prime, O_prime_mapped) print(f"Image Circle 1: Center {center1}, Radius {radius1}")

Image Circle 2 (from R1, R2, O)

center2, radius2 = circle_from_3_points(R1_prime, R2_prime, O_mapped) print(f"Image Circle 2: Center {center2}, Radius {radius2}")

Function to calculate arc length

def get_arc_length(center, radius, p_start, p_mid, p_end): cx, cy = center

def get_angle(p):
    return np.arctan2(p[1] - cy, p[0] - cx)

ang_start = get_angle(p_start)
ang_mid = get_angle(p_mid)
ang_end = get_angle(p_end)

# Normalize angles to [0, 2pi) for easier logic, or handle diffs
# We need the arc from start to end passing through mid.
# Calculate angular distance.

# Let's use vectors and cross products/dot products to be robust, or just handle the wrap around.
# Simple way: check the two possible arcs (clockwise vs counter-clockwise) and see which contains mid.

# Total angle is either abs(ang_end - ang_start) or 2pi - ...
# But we need the specific one.

# Let's shift angles so ang_start is 0.
a_mid = (ang_mid - ang_start) % (2 * np.pi)
a_end = (ang_end - ang_start) % (2 * np.pi)

# If a_mid < a_end, then we go start -> mid -> end in counter-clockwise direction. Length is a_end * r.
# If a_mid > a_end, then we go start -> mid -> end in clockwise direction (which is the long way around in this frame).
# Wait.
# Case 1: 0 < a_mid < a_end. Arc is CCW, angle is a_end.
# Case 2: a_end < a_mid. Arc is the other way?
# Actually, if we move CCW from start:
# If we hit mid before end, then the CCW arc is the one. Angle = a_end.
# If we hit end before mid, then the CCW arc is NOT the one. We must go the other way (CW). Angle = 2pi - a_end.

if a_mid < a_end:
    angle = a_end
else:
    angle = 2 * np.pi - a_end
    
return radius * angle

len1 = get_arc_length(center1, radius1, R1_prime, O_prime_mapped, R2_prime) len2 = get_arc_length(center2, radius2, R1_prime, O_mapped, R2_prime)

print(f"Length 1: {len1}") print(f"Length 2: {len2}") print(f"Total Length: {len1 + len2}") [/PYTHON]

Tool Output
[PYTHON OUTPUT] R1': [2.5 2.59807621] R2': [ 2.5 -2.59807621] O' mapped: [7. 0.] O mapped: [2.5 0. ] Image Circle 1: Center (np.float64(4.0), np.float64(0.0)), Radius 3.0 Image Circle 2: Center (np.float64(-inf), np.float64(nan)), Radius nan Length 1: 12.566370614359172 Length 2: nan Total Length: nan [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The problem asks for the length of the locus of point QQ as point PP moves along a region R\mathcal{R}. The relationship between PP and QQ is given by APAQ\overrightarrow{AP} \parallel \overrightarrow{AQ} and APAQ=9\overrightarrow{AP} \cdot \overrightarrow{AQ} = 9. Since the dot product is positive, PP and QQ lie on the same ray from AA, and APAQ=9|AP| \cdot |AQ| = 9. This is an inversion centered at A(2,0)A(-2,0) with power 99.

The region R\mathcal{R} consists of two arcs:

  1. Arc of C1C_1: C1C_1 is x2+y2=1x^2 + y^2 = 1. The arc connects R1R_1 and R2R_2 and contains O(1,0)O'(-1,0).

    • R1,R2R_1, R_2 are the intersection points of C1C_1 and C2C_2.
    • C1:x2+y2=1C_1: x^2 + y^2 = 1.
    • C2:(x+1)2+y2=1    x2+2x+1+y2=1    1+2x+1=1    2x=1    x=0.5C_2: (x+1)^2 + y^2 = 1 \implies x^2 + 2x + 1 + y^2 = 1 \implies 1 + 2x + 1 = 1 \implies 2x = -1 \implies x = -0.5.
    • y2=1(0.5)2=0.75    y=±3/2y^2 = 1 - (-0.5)^2 = 0.75 \implies y = \pm \sqrt{3}/2.
    • R1(0.5,3/2)R_1(-0.5, \sqrt{3}/2), R2(0.5,3/2)R_2(-0.5, -\sqrt{3}/2).
    • O(1,0)O'(-1,0) is on C1C_1.
    • The image of this arc under inversion is an arc of a circle (since AA is not on C1C_1).
    • From the Python code, the image circle has radius r=3r=3 and the arc angle is 240240^\circ (4π/34\pi/3 radians).
    • Length L1=3×4π3=4πL_1 = 3 \times \frac{4\pi}{3} = 4\pi.
  2. Arc of C2C_2: C2C_2 is (x+1)2+y2=1(x+1)^2 + y^2 = 1. The arc connects R1R_1 and R2R_2 and contains O(0,0)O(0,0).

    • A(2,0)A(-2,0) lies on C2C_2. Thus, the image of C2C_2 is a straight line.
    • The image of the arc containing O(0,0)O(0,0) (which does not contain AA) is the finite line segment connecting the images of R1R_1 and R2R_2.
    • Image of R1R_1: R1=(2.5,332)R_1' = (2.5, \frac{3\sqrt{3}}{2}).
    • Image of R2R_2: R2=(2.5,332)R_2' = (2.5, -\frac{3\sqrt{3}}{2}).
    • Length L2L_2 is the distance between R1R_1' and R2R_2', which is 333\sqrt{3}.

Total length k=4π+33k = 4\pi + 3\sqrt{3}. Using approximations: 4π12.566374\pi \approx 12.56637 335.196153\sqrt{3} \approx 5.19615 k17.7625k \approx 17.7625

The value of k\lfloor k \rfloor is 17. [/THOUGHT]

\boxed{17}

Final Model Output
17

Comparative Analysis (P29) (Average across runs)

Avg Time Taken

EXAONE-4.0.1-32B (high)
298.6
GPT-5.1 (high)
227.4
Gemini-3-Pro-Preview
139.0
Deepseek-V3.2
109.1
Llama-VARCO-8B-Instruct
74.3
Solar-Pro-2 (31B)(high)
67.2
Grok-4.1-fast
38.9
Claude-Opus-4.5
38.3
HCX-007(high)
28.4
A.X-4.0 (72B)
21.1

Avg Token Usage

GPT-5.1 (high)
14833.0
Claude-Opus-4.5
11516.0
Solar-Pro-2 (31B)(high)
10423.0
Grok-4.1-fast
9673.0
Deepseek-V3.2
8977.0
Gemini-3-Pro-Preview
8560.0
EXAONE-4.0.1-32B (high)
6140.0
Llama-VARCO-8B-Instruct
5349.0
HCX-007(high)
4304.0
A.X-4.0 (72B)
2252.0