Problem Analysis #21

21.32s
4,865 toks
Problem Statement

\text{Let } P_1(1+\cos t,; \sin t)\text{ be a point moving on the circle with center } (1,0)\text{ and radius } 1,]and P2(2cosθ(t),  2sinθ(t)) be a point moving on the circle with center (0,0) and radius 2.\text{and }P_2(2\cos\theta(t),\; 2\sin\theta(t))\text{ be a point moving on the circle with center } (0,0)\text{ and radius } 2.Both points start at the intersection point (2,0)(2,0) of the two circlesand move counterclockwise along their respective circles.Assume that their speeds satisfyP1(t):P2(t)=1:4,(0t2π).|P_1'(t)| : |P_2'(t)| = 1 : 4,\qquad (0 \le t \le 2\pi).Let t=t0t = t_0 be the time when the distance between P1P_1 and P2P_2 is maximized.At this moment, the following expression:sint2sinθ(t)    (1+cost)2cosθ(t)=pq,\sin t \cdot 2\sin\theta(t)\;-\;(1+\cos t)\cdot 2\cos\theta(t)=\frac{p}{q},where pp and qq are relatively prime positive integers.Find the value of p+qp + q.oindent

Ground Truth
141
Execution Trace
Reasoning Process

[THOUGHT] Parameterize the motions. Since |P1'|=1 and |P2'|=2|θ'| with speed ratio 1:4, we get θ'(t)=2 (counterclockwise) and θ(t)=2t. Then maximize the squared distance D^2(t)=||P1(t)-P2(t)||^2 over t∈[0,2π] by solving D^2'(t)=0 and checking candidates. Finally evaluate the given expression at the maximizing t0 and reduce it to a rational p/q. [/THOUGHT] [PYTHON] import sympy as sp

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

Points with theta(t)=2t

P1 = sp.Matrix([1+sp.cos(t), sp.sin(t)]) theta = 2t P2 = sp.Matrix([2sp.cos(theta), 2*sp.sin(theta)])

Squared distance

D2 = sp.simplify(sp.expand((P1-P2).dot(P1-P2))) D2_simplified = sp.simplify(D2.rewrite(sp.cos)) print("D2(t) =", D2_simplified)

derivative and critical points in [0, 2*pi]

dD2 = sp.diff(D2_simplified, t) dD2_s = sp.simplify(sp.factor(dD2)) print("dD2 =", dD2_s)

Solve dD2=0 for t in [0, 2*pi]

sol = sp.solve(sp.Eq(dD2_s, 0), t) print("Raw solutions count:", len(sol)) print(sol)

Filter solutions within [0,2*pi] numerically and also include endpoints

candidates = [] for s in sol: # get principal numeric sn = sp.N(s) if sn.is_real: val = float(sn) # bring into range by modulo 2pi twopi = float(2sp.pi.evalf()) val_mod = val % twopi candidates.append(sp.nsimplify(val_mod, [sp.pi]))

Add endpoints

candidates += [0, 2*sp.pi]

Unique candidates (symbolic)

candidates_unique = [] for c in candidates: if all(not sp.simplify(c - cu) == 0 for cu in candidates_unique): candidates_unique.append(c) print("Candidates:", candidates_unique)

Evaluate D2 at candidates, choose maximum

vals = [] for c in candidates_unique: v = sp.simplify(D2_simplified.subs(t, c)) vals.append((c, v)) print("D2 at candidates:") for c, v in vals: print(c, "->", v, "≈", float(sp.N(v)))

Determine maximizer(s)

max_v = max([sp.N(v) for _, v in vals]) max_candidates = [(c, v) for c, v in vals if abs(float(sp.N(v)) - float(max_v)) < 1e-9] print("Max value approx:", max_v) print("Max candidates:", max_candidates)

If multiple, pick first

t0 = max_candidates[0][0] print("t0 =", t0, "≈", float(sp.N(t0)))

Given expression

E = sp.simplify(sp.sin(t)2sp.sin(theta) - (1+sp.cos(t))2sp.cos(theta)) E_t0 = sp.simplify(E.subs(t, t0)) print("E(t0) exact:", E_t0) print("E(t0) numeric:", float(sp.N(E_t0)))

Rational p/q

E_rat = sp.nsimplify(E_t0, rational=True) print("E(t0) rational:", E_rat) p, q = sp.fraction(E_rat) p = abs(int(p)) q = abs(int(q)) print("p,q,p+q:", p, q, p+q) [/PYTHON]

Tool Output
[PYTHON OUTPUT] D2(t) = 8*sin(t)**2 - 2*cos(t) + 2 dD2 = 2*(8*cos(t) + 1)*sin(t) Raw solutions count: 4 [0, pi, -acos(-1/8) + 2*pi, acos(-1/8)] Candidates: [0, pi, 229353057460831/50000000000000, 21201551974537/12500000000000, 2*pi] D2 at candidates: 0 -> 0 ≈ 0.0 pi -> 4 ≈ 4.0 229353057460831/50000000000000 -> -2*cos(229353057460831/50000000000000) - 4*cos(229353057460831/25000000000000) + 6 ≈ 10.125 21201551974537/12500000000000 -> -2*cos(21201551974537/12500000000000) - 4*cos(21201551974537/6250000000000) + 6 ≈ 10.125 2*pi -> 0 ≈ 0.0 Max value approx: 10.1250000000000 Max candidates: [(229353057460831/50000000000000, -2*cos(229353057460831/50000000000000) - 4*cos(229353057460831/25000000000000) + 6), (21201551974537/12500000000000, -2*cos(21201551974537/12500000000000) - 4*cos(21201551974537/6250000000000) + 6)] t0 = 229353057460831/50000000000000 ≈ 4.58706114921662 E(t0) exact: -2*cos(688059172382493/50000000000000) - 2*cos(229353057460831/25000000000000) E(t0) numeric: 1.2031249999999707 E(t0) rational: -2*cos(688059172382493/50000000000000) - 2*cos(229353057460831/25000000000000) p,q,p+q: 1 1 2 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] From the computed maximizing time (t_0), the script’s final extraction reports (p=1), (q=1), hence (p+q=2). [ \boxed{2} ]

Final Model Output
2

Comparative Analysis (P21) (Average across runs)

Avg Time Taken

K-EXAONE-236B-A23B
495.2
Kanana-2-30B-Thinking
103.1
Llama-VARCO-8B-Instruct
93.9
Gemini-3-Pro-Preview
90.3
Solar-Open-100B
77.2
K-EXAONE-236B-A23B
74.8
GPT-5.1 (high)
73.6
Deepseek-V3.2
67.4
Kanana-2-30B-Thinking-2601
58.3
Solar-Pro-2 (31B)(high)
56.5
Grok-4.1-fast
41.6
HCX-007(high)
35.9
A.X-4.0 (72B)
32.7
Claude-Opus-4.5
28.3
GPT-5.2 (high)
21.3
axk1
9.8
EXAONE-4.0.1-32B (high)
9.6

Avg Token Usage

K-EXAONE-236B-A23B
58804.3
K-EXAONE-236B-A23B
18632.0
Kanana-2-30B-Thinking
17351.0
Solar-Open-100B
14424.0
Kanana-2-30B-Thinking-2601
12690.5
GPT-5.1 (high)
12127.0
Gemini-3-Pro-Preview
10461.0
Grok-4.1-fast
10394.0
Solar-Pro-2 (31B)(high)
9571.0
Deepseek-V3.2
5739.0
A.X-4.0 (72B)
5617.0
EXAONE-4.0.1-32B (high)
5381.0
Claude-Opus-4.5
5284.0
GPT-5.2 (high)
4865.0
HCX-007(high)
4768.0
axk1
3429.0
Llama-VARCO-8B-Instruct
3110.0