Problem Analysis #8

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Problem Statement

Let n=8n=8. Consider the family F\mathcal{F} of all linear subspaces C{0,1}8C\subseteq \{0,1\}^8 such that

  • dim(C)=4\dim(C)=4;

  • every codeword has even Hamming weight;

  • CC is self-orthogonal:

uv0(mod2)u,vC.\mathbf{u}\cdot \mathbf{v}\equiv 0\pmod 2 \quad \forall\,\mathbf{u},\mathbf{v}\in C.

What is F|\mathcal{F}|?

Ground Truth
135
Execution Trace
Reasoning Process

[THOUGHT] The family (\mathcal{F}) consists of all 4-dimensional self-dual linear codes in (\mathbb{F}_2^8), which automatically satisfy the even weight condition. To count them, count the number of ordered orthogonal bases (4 linearly independent even-weight vectors that are pairwise orthogonal, including self-orthogonal) and divide by (|\mathrm{GL}(4,2)| = 20160). Represent vectors as integers 0-255. Precompute parities and dot products. Use recursion to build bases, checking orthogonality and linear independence via span generation with XOR. [/THOUGHT] [PYTHON] par = [0] * 256 for i in range(256): par[i] = bin(i).count('1') % 2

even_nonzero = [i for i in range(256) if i > 0 and par[i] == 0]

dots = [[par[i & j] for j in range(256)] for i in range(256)]

def generate_span(basis): span = {0} for vec in basis: span = {s ^ t for s in span for t in (0, vec)} return span

total_ordered = [0]

def recurse(current_basis, depth): if depth == 4: total_ordered[0] += 1 return prev_span = generate_span(current_basis) for v in even_nonzero: if all(dots[v][b] == 0 for b in current_basis) and v not in prev_span: recurse(current_basis + [v], depth + 1)

recurse([], 0)

gl4 = 15 * 14 * 12 * 8 num_f = total_ordered[0] // gl4 print(num_f) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 135 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python code counted the number of ordered bases and divided by |GL(4,2)| = 20160, resulting in 135, which is the size of (\mathcal{F}). [/THOUGHT] \boxed{135}

Final Model Output
135

Comparative Analysis (P8) (Average across runs)

Avg Time Taken

Claude-Opus-4.5
709.8
Gemini-3-Pro-Preview
378.2
Deepseek-V3.2
359.2
Grok-4.1-fast
123.9
GPT-5.1 (high)
62.6

Avg Token Usage

Grok-4.1-fast
16430.7
Deepseek-V3.2
14331.3
Gemini-3-Pro-Preview
10425.3
Claude-Opus-4.5
8337.7
GPT-5.1 (high)
6573.7