Problem Analysis #12

56.51s
9,762 toks
Problem Statement

Consider the matrixM=(200020003).M = \begin{pmatrix}2 & 0 & 0 \\0 & 2 & 0 \\0 & 0 & 3\end{pmatrix}.Let the transpose of a matrix PP be denoted by PTP^T. Find the square of the number of 3 $$\times$$ 3 invertible matrices PP with integer entries, such thatP1=PTandPM=MP.P^{-1} = P^T \quad \text{and} \quad PM = MP.\

Ground Truth
256
Execution Trace
Reasoning Process

[THOUGHT] I need to find the square of the number of 3x3 invertible matrices P with integer entries such that P^{-1} = P^T and P M = M P, where M is the given diagonal matrix.

First, note that P being orthogonal and integer implies that P is a signed permutation matrix. The condition P M = M P requires P to preserve the eigenspaces of M. Since M has eigenvalues 2 (multiplicity 2) and 3 (multiplicity 1), P must be block diagonal with a 2x2 block A corresponding to the eigenvalue 2 and a 1x1 block b for eigenvalue 3.

The 2x2 block A must be an integer orthogonal matrix, and the 1x1 block b must be ±1. The number of 2x2 integer orthogonal matrices is 8, and b has 2 choices. Thus, the total number of such matrices P is 8 * 2 = 16. The square of 16 is 256.

I'll verify this by counting the 2x2 integer orthogonal matrices through a loop and then compute the result. [/THOUGHT] [PYTHON] from sympy import Matrix count_2x2 = 0 for a in [1, -1, 0]: for b in [1, -1, 0]: for c in [1, -1, 0]: for d in [1, -1, 0]: if aa + bb == 1 and cc + dd == 1 and ac + bd == 0: count_2x2 += 1 total_P = count_2x2 * 2 result = total_P ** 2 print(result) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 256 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python code executed and returned 256, which is the result of squaring the number of valid matrices. Since the tool output is the ground truth, I accept 256 as the correct answer without further code. [/THOUGHT] \boxed{256}

Final Model Output
256

Comparative Analysis (P12) (Average across runs)

Avg Time Taken

Solar-Open-100B
615.1
K-EXAONE-236B-A23B
380.8
Deepseek-V3.2
262.2
Llama-VARCO-8B-Instruct
95.4
K-EXAONE-236B-A23B
67.8
Kanana-2-30B-Thinking
56.5
Gemini-3-Pro-Preview
42.2
Grok-4.1-fast
34.9
HCX-007(high)
34.1
Kanana-2-30B-Thinking-2601
33.9
Solar-Pro-2 (31B)(high)
27.6
Claude-Opus-4.5
23.5
GPT-5.1 (high)
15.2
A.X-4.0 (72B)
13.4
GPT-5.2 (high)
11.6
axk1
8.1
EXAONE-4.0.1-32B (high)
4.2

Avg Token Usage

K-EXAONE-236B-A23B
46063.3
Kanana-2-30B-Thinking
9762.0
Kanana-2-30B-Thinking-2601
8143.0
Grok-4.1-fast
7280.0
K-EXAONE-236B-A23B
6253.0
Deepseek-V3.2
6155.0
Solar-Pro-2 (31B)(high)
5847.0
Gemini-3-Pro-Preview
5844.0
Claude-Opus-4.5
4758.0
Llama-VARCO-8B-Instruct
4633.0
HCX-007(high)
4606.0
Solar-Open-100B
4529.0
EXAONE-4.0.1-32B (high)
3388.0
A.X-4.0 (72B)
3352.0
GPT-5.1 (high)
3079.0
GPT-5.2 (high)
2908.0
axk1
2893.0