Problem Analysis #12

4.25s
3,388 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] To solve this problem, we need to find the number of 3x3 invertible matrices ( P ) with integer entries that satisfy two conditions:

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

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

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

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

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

For a 3x3 matrix, there are ( 2^3 = 8 ) possible diagonal matrices with entries ( \pm 1 ). However, we must ensure that ( P ) is invertible, which is always true for these matrices since their determinant is ( \pm 1 \neq 0 ).

Finally, we need to square the number of such matrices. So, the answer is ( 8^2 = 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 ( P ) is 8, and squaring this gives 64. This matches our earlier reasoning. [/THOUGHT] \boxed{64}

Final Model Output
64

Comparative Analysis (P12) (Average across runs)

Avg Time Taken

Deepseek-V3.2
262.2
Llama-VARCO-8B-Instruct
95.4
Gemini-3-Pro-Preview
42.2
Grok-4.1-fast
34.9
HCX-007(high)
34.1
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
EXAONE-4.0.1-32B (high)
4.2

Avg Token Usage

Grok-4.1-fast
7280.0
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
EXAONE-4.0.1-32B (high)
3388.0
A.X-4.0 (72B)
3352.0
GPT-5.1 (high)
3079.0