Problem Analysis #12

EXAONE-4.0.1-32B (high) · Run 1

4.25s
3,388 toks
Problem Statement

Consider the matrix

M=(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 3×33 \times 3 invertible matrices PP with integer entries, such that

P1=PTandPM=MP.P^{-1} = P^T \quad \text{and} \quad PM = MP.

\

Ground Truth
256
Execution Trace
Reasoning Process

[THOUGHT] To solve this problem, we need to find the number of 3x3 invertible matrices PP with integer entries that satisfy two conditions:

  1. P1=PTP^{-1} = P^T (i.e., PP is orthogonal).
  2. PM=MPPM = MP (i.e., PP commutes with the given matrix MM).

First, let's analyze the matrix MM. It is a diagonal matrix with entries 2, 2, and 3. The condition PM=MPPM = MP implies that PP must commute with MM. For a diagonal matrix MM with distinct eigenvalues, the matrices PP that commute with MM are diagonal matrices. However, MM has repeated eigenvalues (two 2's), so PP can have non-diagonal entries in the positions corresponding to the repeated eigenvalues.

Next, we consider the orthogonality condition P1=PTP^{-1} = P^T. For integer matrices, this implies that PP must be a signed permutation matrix (since orthogonal matrices with integer entries are signed permutation matrices). However, the condition PM=MPPM = MP further restricts PP to be a diagonal matrix with entries ±1\pm 1 (since MM has distinct eigenvalues except for the repeated 2's).

Given the structure of MM, the matrices PP that satisfy both conditions must be diagonal matrices with entries ±1\pm 1 in the diagonal, except possibly for the entries corresponding to the repeated eigenvalues (the first two diagonal entries of MM). However, the orthogonality condition restricts the entries to ±1\pm 1.

Thus, the problem reduces to counting the number of diagonal matrices with entries ±1\pm 1 on the diagonal that commute with MM. Since MM is diagonal, any diagonal matrix PP will commute with MM. Therefore, we need to count the number of diagonal matrices with entries ±1\pm 1 on the diagonal.

For a 3x3 matrix, there are 23=82^3 = 8 possible diagonal matrices with entries ±1\pm 1. However, we must ensure that PP is invertible, which is always true for these matrices since their determinant is ±10\pm 1 \neq 0.

Finally, we need to square the number of such matrices. So, the answer is 82=648^2 = 64.

[/THOUGHT] [PYTHON]

Verification: Count the number of diagonal matrices with entries ±1

count = 2 ** 3 # 2 choices (±1) for each of the 3 diagonal entries squared_count = count ** 2 print(squared_count) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 64 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output confirms that the number of valid matrices PP is 8, and squaring this gives 64. This matches our earlier reasoning. [/THOUGHT] 64\boxed{64}

Final Model Output
64

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
EXAONE-4.0.1-32B (high)
4.2

Avg Token Usage

K-EXAONE-236B-A23B
46,063
Kanana-2-30B-Thinking
9,762
Kanana-2-30B-Thinking-2601
8,143
Grok-4.1-fast
7,280
K-EXAONE-236B-A23B
6,253
Deepseek-V3.2
6,155
Solar-Pro-2 (31B)(high)
5,847
Gemini-3-Pro-Preview
5,844
Claude-Opus-4.5
4,758
Llama-VARCO-8B-Instruct
4,633
HCX-007(high)
4,606
Solar-Open-100B
4,529
EXAONE-4.0.1-32B (high)
3,388
A.X-4.0 (72B)
3,352
GPT-5.1 (high)
3,079
GPT-5.2 (high)
2,908