Problem Analysis #15

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Problem Statement

Let the set of all relations RR on the set {a,b,c,d,e,f}\{a, b, c, d, e, f\}, such that RR is reflexive and symmetric, and RR contains exactly 10 elements, be denoted by S\mathcal{S}.Find the number of elements in S\mathcal{S}.\

Ground Truth
105
Execution Trace
Reasoning Process

[THOUGHT] To solve this problem, we need to count the number of reflexive, symmetric relations on a set of 6 elements (a, b, c, d, e, f) that contain exactly 10 elements.

  1. Reflexive Relations: A reflexive relation on a set of size ( n ) must include all ( n ) pairs of the form ((x, x)). Here, ( n = 6 ), so the relation must include ((a, a), (b, b), \ldots, (f, f)).

  2. Symmetric Relations: A symmetric relation must include both ((x, y)) and ((y, x)) for any ( x \neq y ).

  3. Total Elements: The relation must have exactly 10 elements. Since the reflexive pairs account for 6 elements, the remaining 4 elements must come from symmetric pairs ((x, y)) and ((y, x)). Each such pair contributes 2 elements to the relation.

  4. Counting Symmetric Pairs: The number of possible symmetric pairs (excluding the diagonal) is the number of ways to choose 2 distinct elements from 6, which is ( \binom{6}{2} = 15 ). We need to choose 2 such pairs (since each pair contributes 2 elements, and we need 4 more elements).

  5. Combination Calculation: The number of ways to choose 2 pairs from 15 is ( \binom{15}{2} = 105 ).

Thus, the number of such relations is 105. [/THOUGHT] [PYTHON] from math import comb

Number of symmetric pairs (excluding diagonal)

n = 6 symmetric_pairs = comb(n, 2)

Number of ways to choose 2 pairs to add 4 elements (since each pair adds 2 elements)

result = comb(symmetric_pairs, 2)

print(result) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 105 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output confirms that the number of reflexive, symmetric relations on a 6-element set with exactly 10 elements is 105. [/THOUGHT] \boxed{105}

Final Model Output
105

Comparative Analysis (P15) (Average across runs)

Avg Time Taken

Gemini-3-Pro-Preview
66.2
Deepseek-V3.2
49.3
Llama-VARCO-8B-Instruct
38.7
HCX-007(high)
19.3
Solar-Pro-2 (31B)(high)
17.9
Claude-Opus-4.5
15.9
A.X-4.0 (72B)
13.6
EXAONE-4.0.1-32B (high)
11.9
Grok-4.1-fast
11.5
GPT-5.1 (high)
9.0

Avg Token Usage

Gemini-3-Pro-Preview
5518.0
Deepseek-V3.2
4874.0
Solar-Pro-2 (31B)(high)
4347.0
Grok-4.1-fast
3868.0
Claude-Opus-4.5
3711.0
A.X-4.0 (72B)
3281.0
HCX-007(high)
3171.0
EXAONE-4.0.1-32B (high)
3027.0
GPT-5.1 (high)
2438.0
Llama-VARCO-8B-Instruct
676.0