Problem Analysis #45

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Problem Statement

Let aa be a positive real number, and consider the hyperbolax2a2y2a2=1,\dfrac{x^2}{a^2} - \dfrac{y^2}{a^2} = -1,whose foci are FF and FF'. Let PP be the point where the tangent to this hyperbola at (a,2a)(a, \sqrt{2}a) meets the yy-axis. Suppose thatPF×PF=8.\overline{PF} \times \overline{PF'} = 8.Find the value of aa. [3 points]If a2=/dfracpqa^2 = /dfrac{p}{q}, compute p+qp+q.\

Ground Truth
19
Execution Trace
Reasoning Process

[THOUGHT] We are given the hyperbola (\frac{x^2}{a^2} -frac{y^2}{a^2} = -1) which simplifies to (y^2 - x^2 = a^2). The point ((a,\sqrt{2}a)) lies on it. The slope of the tangent is found via implicit differentiation: (2y y' - 2x = 0) so (y' = x/y). At the point, slope (m = a/(\sqrt{2}a) = 1/\sqrt{2}). The tangent line: (y - \sqrt{2}a = \frac{1}{\sqrt{2}}(x - a)). Simplifying: (y = \frac{1}{\sqrt{2}}x + \frac{a}{\sqrt{2}}). Its y-intercept is (P = (0, a/\sqrt{2})).

For the hyperbola (\frac{y^2}{a^2} - \frac{x^2}{a^2} = 1), the foci are at ((0, \pm c)) with (c^2 = a^2 + a^2 = 2a^2), so (c = a\sqrt{2}). Thus (F = (0, a\sqrt{2})), (F' = (0, -a\sqrt{2})).

Compute distances: [ PF = \left| a\sqrt{2} - \frac{a}{\sqrt{2}} \right| = a\left(\sqrt{2} - \frac{1}{\sqrt{2}}\right) = a \cdot \frac{1}{\sqrt{2}} = \frac{a}{\sqrt{2}}. ] [ PF' = \frac{a}{\sqrt{2}} - (-a\sqrt{2}) = \frac{a}{\sqrt{2}} + a\sqrt{2} = a\left(\frac{1}{\sqrt{2}} + \sqrt{2}\right) = \frac{3a}{\sqrt{2}}. ] Product: (PF \cdot PF' = \frac{a}{\sqrt{2}} \cdot \frac{3a}{\sqrt{2}} = \frac{3a^2}{2}). Set equal to 8: (\frac{3a^2}{2} = 8 \Rightarrow a^2 = \frac{16}{3}). Thus (a^2 = \frac{16}{3}), so (p = 16), (q = 3), and (p+q = 19).

Now verify with Python. [/THOUGHT] [PYTHON] import sympy as sp

define symbols

a = sp.symbols('a', positive=True)

point on hyperbola

tangent line: y = (x + a)/sqrt(2)

y-intercept

P = sp.Point(0, a/sp.sqrt(2))

foci

F1 = sp.Point(0, asp.sqrt(2)) F2 = sp.Point(0, -asp.sqrt(2)) d1 = P.distance(F1) d2 = P.distance(F2) product = sp.simplify(d1 * d2) print("Product PF * PF' =", product)

solve for a^2

a2 = sp.symbols('a2', positive=True) eq = sp.Eq(3*a2/2, 8) # from product formula a2_val = sp.solve(eq, a2)[0] print("a^2 =", a2_val) p = a2_val.q # denominator? Actually we need p/q reduced

a^2 = 16/3, so p=16, q=3

p_val = 16 q_val = 3 print("p+q =", p_val + q_val) [/PYTHON] [THOUGHT] The Python output confirms (a^2 = \frac{16}{3}), so (p+q = 19).
Thus the final answer is (\boxed{19}).[/THOUGHT]

Tool Output
[PYTHON OUTPUT] Product PF * PF' = 3*a**2/2 a^2 = 16/3 p+q = 19 [/PYTHON OUTPUT]
Reasoning Process

We are given the hyperbola (\frac{x^2}{a^2} - \frac{y^2}{a^2} = -1), which is equivalent to (\frac{y^2}{a^2} - \frac{x^2}{a^2} = 1). This is a vertical hyperbola with (a_{\text{hyperbola}} = a), (b_{\text{hyperbola}} = a), and (c = \sqrt{a^2 + a^2} = a\sqrt{2}). The foci are (F = (0, a\sqrt{2})) and (F' = (0, -a\sqrt{2})).

The point ((a, \sqrt{2}a)) lies on the hyperbola. The slope of the tangent at this point is found by implicit differentiation: (2y y' - 2x = 0 \Rightarrow y' = x/y). At the point, (y' = \frac{a}{\sqrt{2}a} = \frac{1}{\sqrt{2}}). The tangent line equation: (y - \sqrt{2}a = \frac{1}{\sqrt{2}}(x - a)). The y-intercept is at (x = 0): (y = \frac{1}{\sqrt{2}}(-a) + \sqrt{2}a = -\frac{a}{\sqrt{2}} + \sqrt{2}a = \frac{-a + 2a}{\sqrt{2}} = \frac{a}{\sqrt{2}}). So (P = (0, \frac{a}{\sqrt{2}})).

Now compute the distances: [ PF = \left| a\sqrt{2} - \frac{a}{\sqrt{2}} \right| = a\left( \sqrt{2} - \frac{1}{\sqrt{2}} \right) = a \cdot \frac{1}{\sqrt{2}} = \frac{a}{\sqrt{2}}, ] [ PF' = \left| -a\sqrt{2} - \frac{a}{\sqrt{2}} \right| = a\left( \sqrt{2} + \frac{1}{\sqrt{2}} \right) = \frac{3a}{\sqrt{2}}. ] Their product is: [ PF \cdot PF' = \frac{a}{\sqrt{2}} \cdot \frac{3a}{\sqrt{2}} = \frac{3a^2}{2}. ] Given that this product equals 8: [ \frac{3a^2}{2} = 8 \quad \Rightarrow \quad a^2 = \frac{16}{3}. ] Thus (a^2 = \frac{16}{3}), so (p = 16), (q = 3), and (p+q = 19).

[ \boxed{19} ]

Final Model Output
19

Comparative Analysis (P45) (Average across runs)

Avg Time Taken

Llama-VARCO-8B-Instruct
225.6
Gemini-3-Pro-Preview
217.5
Deepseek-V3.2
169.7
K-EXAONE-236B-A23B
148.6
Kanana-2-30B-Thinking
56.6
Grok-4.1-fast
42.5
Kanana-2-30B-Thinking-2601
35.5
HCX-007(high)
32.9
GPT-5.1 (high)
30.4
Solar-Pro-2 (31B)(high)
25.5
Claude-Opus-4.5
22.6
A.X-4.0 (72B)
21.5
Solar-Open-100B
21.4
K-EXAONE-236B-A23B
14.6
GPT-5.2 (high)
13.7
axk1
8.5
EXAONE-4.0.1-32B (high)
6.1

Avg Token Usage

K-EXAONE-236B-A23B
17716.7
Llama-VARCO-8B-Instruct
10782.0
Kanana-2-30B-Thinking
9932.0
Kanana-2-30B-Thinking-2601
9384.5
Gemini-3-Pro-Preview
6532.0
Grok-4.1-fast
6515.0
Solar-Open-100B
5934.0
Claude-Opus-4.5
5923.0
Solar-Pro-2 (31B)(high)
5755.0
Deepseek-V3.2
5330.0
GPT-5.1 (high)
4171.0
HCX-007(high)
4137.0
EXAONE-4.0.1-32B (high)
4027.0
K-EXAONE-236B-A23B
3768.0
GPT-5.2 (high)
3460.0
axk1
2999.0
A.X-4.0 (72B)
2112.0