Problem Analysis #7

54.13s
8,448 toks
Problem Statement

Let

G=(1000122010011100102120001201)G = \begin{pmatrix} 1 & 0 & 0 & 0 & 1 & 2 & 2 \\ 0 & 1 & 0 & 0 & 1 & 1 & 1 \\ 0 & 0 & 1 & 0 & 2 & 1 & 2 \\ 0 & 0 & 0 & 1 & 2 & 0 & 1 \end{pmatrix}

be a generator matrix of a ternary linear code CF37C \subset \mathbb{F}_3^7. It is known that the order of the group of monomial automorphisms of CC is 24. How many generator matrices produce codes that are monomially equivalent to C\mathcal{C}?\

Ground Truth
652138905600
Execution Trace
Reasoning Process

[THOUGHT] To determine the number of generator matrices that produce codes monomially equivalent to ( \mathcal{C} ), we use the orbit-stabilizer theorem. The group of monomial automorphisms of ( \mathcal{C} ) has order 24, which is the stabilizer subgroup of ( G ) under right multiplication by monomial matrices. The total number of monomial matrices in ( \mathbb{F}_3^7 ) is ( 2^7 \times 7! ), since each of the 7 coordinates can be permuted in ( 7! ) ways and scaled by 1 or 2 (2 choices per coordinate). Dividing this total by the stabilizer size gives the number of distinct generator matrices ( G' = G M ) that generate codes monomially equivalent to ( \mathcal{C} ).

[PYTHON]

Calculate the number of monomial matrices

monomial_count = (2**7) * 5040 # 2^7 * 7!

Divide by the stabilizer size (automorphism group order)

result = monomial_count // 24 print(result) [/PYTHON]

[THOUGHT] The calculation confirms that the number of distinct generator matrices is ( \frac{2^7 \times 7!}{24} = 26880 ). This accounts for all monomial transformations divided by the automorphisms that fix the code, ensuring each generator matrix is counted once.

\boxed{26880}

Tool Output
[PYTHON OUTPUT] 26880 None [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output confirms the calculation: ( \frac{2^7 \times 7!}{24} = 26880 ). This is the number of generator matrices producing codes monomially equivalent to ( \mathcal{C} ), as each corresponds to a unique coset of the stabilizer subgroup under the monomial group's action.

\boxed{26880}

Final Model Output
26880

Comparative Analysis (P7) (Average across runs)

Avg Time Taken

Qwen3-30B-A3B-2507
1905.6
Gemma-3-27B
873.1
Deepseek-R1-distill-Qwen-32B (high)
168.1
Gemini-3-Pro-Preview
76.1
EXAONE-4.0.1-32B (high)
74.4
Grok-4.1-fast
71.4
GPT-oss-20B (high)
56.1
Solar-Pro-2 (31B)(high)
55.1
Deepseek-V3.2
41.8
HCX-007(high)
35.0
GPT-5.1 (high)
25.1
Llama-VARCO-8B-Instruct
24.7
Claude-Opus-4.5
17.4
A.X-4.0 (72B)
13.5

Avg Token Usage

Gemini-3-Pro-Preview
13535.7
Grok-4.1-fast
11559.7
Qwen3-30B-A3B-2507
10081.0
Solar-Pro-2 (31B)(high)
9138.0
GPT-oss-20B (high)
8720.3
Deepseek-V3.2
5870.7
HCX-007(high)
5705.3
Deepseek-R1-distill-Qwen-32B (high)
4983.0
EXAONE-4.0.1-32B (high)
4507.3
Claude-Opus-4.5
4192.7
GPT-5.1 (high)
4129.3
Llama-VARCO-8B-Instruct
3571.3
A.X-4.0 (72B)
3021.3
Gemma-3-27B
2368.7