Problem Analysis #9

40.13s
7,453 toks
Problem Statement

Let AA be a 6$$\times$$ 6 matrix over F2\mathbb{F}_2, and let GG be a simple labeled graph on vertex set {1,2,3,4,5,6}\{1,2,3,4,5,6\}. Define Z(A){1,,6}Z(A)\subseteq\{1,\ldots,6\} to be the set of column indices whose columns in AA are all-zero.

Count the number of pairs (A,G)(A,G) such that

  • AA has no zero rows;

  • Z(A)=2|Z(A)|=2;

  • in GG, no vertex in Z(A)Z(A) is isolated;

  • GG has no edges with one endpoint in Z(A)Z(A) and the other in its complement.

Ground Truth
10487423040
Execution Trace
Reasoning Process

[THOUGHT] Choose S subset of {1..6} with |S|=2: \binom{6}{2}=15 ways.

For each S, let T be complement, |T|=4.

A: columns S all zero (fixed), 6x4 submatrix on T: no zero rows, no zero columns. Number N = \sum_{k=0}^4 (-1)^k \binom{4}{k} (2^{4-k}-1)^6

For G: edge within S present (1 way), no edges S-T (1 way), arbitrary on T: 2^{\binom{4}{2}}=64 ways.

Total: 15 * N * 64.

Use Python to compute exactly. [/THOUGHT] [PYTHON] from math import comb

def compute_N(): total = 0 for k in range(5): sign = (-1)k binom = comb(4, k) choices_per_row = 2(4 - k) - 1 total += sign * binom * (choices_per_row ** 6) return total

N = compute_N() num_S = comb(6, 2) num_G = 2**6 total = num_S * N * num_G print(total) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 10487423040 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output is 10487423040, which is the exact count. [/THOUGHT] \boxed{10487423040}

Explanation

The reasoning systematically counts the valid pairs (A, G) by breaking down the conditions.

First, select the set S = Z(A), a subset of {1,…,6} with exactly 2 elements, giving \binom{6}{2} = 15 possibilities. Let T be the complement of S, so |T| = 4.

For matrix A, the columns indexed by S must be entirely zero vectors. The remaining 6×4 submatrix on columns T must satisfy: no zero rows (across the entire A) and no zero columns (since |Z(A)|=2 exactly). The number of such submatrices, denoted N, is computed via inclusion-exclusion principle:

  • Start with matrices having no zero rows: (2^4 - 1)^6 = 15^6.
  • Subtract cases where at least one specific column in T is zero, and so on: N = ∑_{k=0}^4 (-1)^k \binom{4}{k} (2^{4-k} - 1)^6.

This yields the exact count of valid 6×4 submatrices.

For graph G on vertices {1,…,6}:

  • No edges between S and T (fixed: 1 way).
  • No vertex in S is isolated. With no edges from S to T, the only possible edge for vertices in S is the single edge between the two vertices in S, which must exist (1 way).
  • Edges within T are arbitrary: 2^{\binom{4}{2}} = 2^6 = 64 possibilities.

The total number of pairs is thus 15 × N × 64. The Python code implements this computation precisely, producing the output 10487423040 as the final count, verified as ground truth.

Final Model Output
10487423040

Comparative Analysis (P9) (Average across runs)

Avg Time Taken

Gemini-3-Pro-Preview
177.6
Deepseek-V3.2
56.2
Grok-4.1-fast
42.9
Claude-Opus-4.5
34.1
GPT-5.1 (high)
29.9

Avg Token Usage

Gemini-3-Pro-Preview
10036.3
Grok-4.1-fast
7434.3
Claude-Opus-4.5
6738.3
Deepseek-V3.2
5777.3
GPT-5.1 (high)
4158.0