Problem Analysis #7

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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] I will:

  1. Verify the rank of G over GF(3) is 4 (so k=4).
  2. Compute |GL(4,3)| using the standard formula.
  3. Compute size of full monomial group on 7 coordinates over GF(3): (3−1)^7 * 7!.
  4. Divide by |Aut(C)|=24 to get the number of distinct monomially equivalent codes.
  5. Multiply that by |GL(4,3)| to get total number of generator matrices producing codes monomially equivalent to C. [/THOUGHT] [PYTHON] import itertools import math

Step 1: Check rank of G over GF(3)

G = [ [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] ]

Gaussian elimination over GF(3) to find rank

def rank_mod_p(mat, p): A = [row[:] for row in mat] m, n = len(A), len(A[0]) r = 0 for c in range(n): # find pivot pivot = None for i in range(r, m): if A[i][c] % p != 0: pivot = i break if pivot is None: continue A[r], A[pivot] = A[pivot], A[r] inv = pow(A[r][c], -1, p) # normalize row A[r] = [(xinv) % p for x in A[r]] # eliminate others for i in range(m): if i != r and A[i][c] % p != 0: factor = A[i][c] % p A[i] = [(A[i][j] - factorA[r][j]) % p for j in range(n)] r += 1 if r == m: break return r

rank_G = rank_mod_p(G, 3) print("rank(G) over GF(3) =", rank_G)

Step 2: |GL(4,3)| = product_{i=0..3} (3^4 - 3^i)

q = 3 k = 4 gl_4_3 = 1 for i in range(k): gl_4_3 *= (qk - qi) print("|GL(4,3)| =", gl_4_3)

Step 3: size of full monomial group on 7 coords over GF(3)

n = 7 monomial_group_size = (q-1)**n * math.factorial(n) print("Monomial group size =", monomial_group_size)

Given |Aut(C)| = 24

aut_C = 24

Step 4: number of distinct monomially equivalent codes

num_codes_equiv = monomial_group_size // aut_C print("Number of distinct monomially equivalent codes =", num_codes_equiv)

Step 5: total generator matrices

total_generators = num_codes_equiv * gl_4_3 print("Total generator matrices =", total_generators) [/PYTHON]

Tool Output
[PYTHON OUTPUT] rank(G) over GF(3) = 4 |GL(4,3)| = 24261120 Monomial group size = 645120 Number of distinct monomially equivalent codes = 26880 Total generator matrices = 652138905600 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] Using orbit-stabilizer on the full monomial group of size (3−1)^7·7! with stabilizer (automorphism group) of size 24 gives 26880 distinct codes monomially equivalent to C. Each 4-dimensional ternary code has |GL(4,3)|=24261120 ordered bases, hence that many generator matrices. Multiplying yields 652138905600 generator matrices producing codes monomially equivalent to C. [/THOUGHT] \boxed{652138905600}

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