Problem Analysis #7

51.83s
7,523 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] The monomial group has order (3-1)^7 * 7! = 2^7 * 5040. The automorphism group order is 24, so orbit size is 2^7 * 5040 / 24. Each code in the orbit has exactly |GL(4,3)| generator matrices, where |GL(4,3)| = (3^4-1)(3^4-3)(3^4-9)(3^4-27). The total number is orbit size times |GL(4,3)|. Compute this exactly using Python. [/THOUGHT] [PYTHON] import math

q = 3 k = 4 n = 7

gl4 = (qk - 1) * (qk - q) * (qk - q2) * (qk - q3) mon_order = (q-1)**n * math.factorial(n) aut_order = 24 orbit_size = mon_order // aut_order total_gens = orbit_size * gl4

print(total_gens) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 652138905600 None [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The calculation is verified: |GL(4,3)| = 24261120, |M| = 645120, orbit size = 645120 / 24 = 26880, total = 26880 * 24261120 = 652138905600. This is the number of generator matrices for codes monomially equivalent to C. [/THOUGHT] \boxed{652138905600}

Explanation

The reasoning follows from group theory and coding theory principles applied to the monomial group action on linear codes.

  • The monomial group ( M ) for ( \mathbb{F}_3^7 ) consists of all monomial matrices, which are permutation matrices with nonzero entries on the diagonal scaled by elements of ( \mathbb{F}_3^\times = {1, 2} ). Its order is ( |M| = (3-1)^7 \cdot 7! = 2^7 \cdot 5040 = 128 \cdot 5040 = 645120 ).

  • The group of monomial automorphisms of ( C ), denoted ( \text{Aut}_M(C) ), is the stabilizer of ( C ) under the action of ( M ), with given order 24.

  • By the orbit-stabilizer theorem, the size of the orbit of ( C ) under ( M ) (the number of codes monomially equivalent to ( C )) is ( |M| / |\text{Aut}_M(C)| = 645120 / 24 = 26880 ).

  • Each code in this orbit is a 4-dimensional subspace of ( \mathbb{F}_3^7 ), so the number of generator matrices for any such code equals the number of ordered bases for the row space, which is ( |\text{GL}(4, 3)| ).

  • Compute ( |\text{GL}(4, 3)| = (3^4 - 1)(3^4 - 3)(3^4 - 9)(3^4 - 27) = (81 - 1)(81 - 3)(81 - 9)(81 - 27) = 80 \cdot 78 \cdot 72 \cdot 54 = 24261120 ).

  • The total number of generator matrices across all codes in the orbit is the orbit size times ( |\text{GL}(4, 3)| ): ( 26880 \cdot 24261120 = 652138905600 ).

This matches the verified Python output, confirming the exact count.

Final Model Output
652138905600

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