Problem Analysis #9

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Problem Statement

Consider the 10$$\times$$ 10 real symmetric matrix

A=[20101010101010101010102010101010101010101010201010101010101010101020101010101010101010102010101010101010101010201010101010101010101020101010101010101010102010101010101010101010201010101010101010101020].A = \left[ \begin{array}{cccccccccc} 20 & 10 & 10 & 10 & 10 & 10 & 10 & 10 & 10 & 10\\ 10 & 20 & 10 & 10 & 10 & 10 & 10 & 10 & 10 & 10\\ 10 & 10 & 20 & 10 & 10 & 10 & 10 & 10 & 10 & 10\\ 10 & 10 & 10 & 20 & 10 & 10 & 10 & 10 & 10 & 10\\ 10 & 10 & 10 & 10 & 20 & 10 & 10 & 10 & 10 & 10\\ 10 & 10 & 10 & 10 & 10 & 20 & 10 & 10 & 10 & 10\\ 10 & 10 & 10 & 10 & 10 & 10 & 20 & 10 & 10 & 10\\ 10 & 10 & 10 & 10 & 10 & 10 & 10 & 20 & 10 & 10\\ 10 & 10 & 10 & 10 & 10 & 10 & 10 & 10 & 20 & 10\\ 10 & 10 & 10 & 10 & 10 & 10 & 10 & 10 & 10 & 20 \end{array} \right].

Calculate

N:=det(A).N := \det(A).
Ground Truth
110000000000
Execution Trace
Reasoning Process

[THOUGHT] The matrix A is 10 times the all-ones matrix plus 10 times the identity matrix. Its eigenvalues are 110 (multiplicity 1) and 10 (multiplicity 9), so det(A) = 110 * 10**9. To verify exactly, use sympy to construct the matrix and compute its determinant. [/THOUGHT] [PYTHON] from sympy import Matrix

Create the 10x10 matrix A

n = 10 A = Matrix(n, n, lambda i, j: 20 if i == j else 10)

Compute determinant

det_A = A.det() print(det_A) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 110000000000 None [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output confirms det(A) = 110000000000. This is the exact integer value. [/THOUGHT] \boxed{110000000000}

Explanation

The reasoning begins by recognizing the structure of matrix A: it consists of 20s on the diagonal and 10s elsewhere, equivalent to 10 times the all-ones matrix plus 10 times the 10x10 identity matrix. For such a matrix, the eigenvalues are derived as follows: the all-ones vector is an eigenvector with eigenvalue 1010 + 101 = 110 (due to the row sum), corresponding to multiplicity 1; the remaining eigenvalues are 10 (from the identity part), with multiplicity 9 for the orthogonal complement. Thus, the determinant equals the product of eigenvalues: 110 × 10^9 = 110000000000. To verify precisely, SymPy constructs the matrix using a lambda function (20 on diagonal, 10 off-diagonal) and computes the determinant, yielding the output 110000000000, confirming the analytical result.

Final Model Output
110000000000

Comparative Analysis (P9) (Average across runs)

Avg Time Taken

EXAONE-4.0.1-32B (high)
1180.7
Deepseek-R1-distill-Qwen-32B (high)
114.5
Gemma-3-27B
91.9
Llama-VARCO-8B-Instruct
68.8
Solar-Pro-2 (31B)(high)
30.2
Gemini-3-Pro-Preview
24.9
Deepseek-V3.2
19.3
HCX-007(high)
16.9
Grok-4.1-fast
14.3
A.X-4.0 (72B)
13.9
GPT-oss-20B (high)
11.5
Claude-Opus-4.5
9.4
Qwen3-30B-A3B-2507
8.5
GPT-5.1 (high)
6.9

Avg Token Usage

EXAONE-4.0.1-32B (high)
25940.7
Llama-VARCO-8B-Instruct
12475.0
Solar-Pro-2 (31B)(high)
6433.3
Gemini-3-Pro-Preview
4874.3
Gemma-3-27B
4846.0
Grok-4.1-fast
4259.3
Deepseek-R1-distill-Qwen-32B (high)
4045.7
A.X-4.0 (72B)
3684.7
Deepseek-V3.2
3590.0
Claude-Opus-4.5
3365.3
GPT-oss-20B (high)
3077.7
Qwen3-30B-A3B-2507
2697.0
GPT-5.1 (high)
2694.7
HCX-007(high)
1782.3