Problem Analysis #12

11.57s
2,908 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] We need integer invertible 3x3 matrices P with P^{-1}=P^T, so P is an integer orthogonal matrix; such matrices are exactly signed permutation matrices. The commutation condition PM=MP with M=diag(2,2,3) forces P to preserve the eigenspaces: it may permute/sign-change the first two coordinates (same eigenvalue 2) but cannot mix them with the third coordinate (eigenvalue 3). So P has block form diag(A, e) where A is a 2x2 signed permutation matrix (8 choices) and e is ±1 (2 choices), total 16. We verify by brute force enumeration of signed permutation matrices and count those commuting with M. [/THOUGHT] [PYTHON] import itertools import numpy as np

M = np.diag([2,2,3])

def signed_permutation_matrices(n=3): mats = [] for perm in itertools.permutations(range(n)): for signs in itertools.product([-1,1], repeat=n): P = np.zeros((n,n), dtype=int) for i,j in enumerate(perm): P[i,j] = signs[i] mats.append(P) return mats

count = 0 good = [] for P in signed_permutation_matrices(3): # orthogonality check: P^T P = I if not np.array_equal(P.T @ P, np.eye(3, dtype=int)): continue # commuting check if np.array_equal(P @ M, M @ P): count += 1 good.append(P)

print(count) print(count**2) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 16 256 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python computation shows there are 16 such matrices, so the requested square is (16^2=256). \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