Problem Analysis #8

19.59s
4,981 toks
Problem Statement

Let n=24n=24. We consider the family F\mathcal{F} of all linear subspaces C{0,1}24C \subseteq \{0,1\}^{24} that satisfy the following three conditions:

  • The dimension of CC is 12.

  • The Hamming weight of every vector in CC is a multiple of 4.

  • The vector 1=(1,1,,1)\mathbf{1} = (1, 1, \dots, 1) is contained in CC.

For any CFC \in \mathcal{F}, let Ak(C)A_k(C) denote the number of vectors in CC having Hamming weight kk. It is a known theoretical result that the weight distribution sequence (A0(C),A1(C),,A24(C))(A_0(C), A_1(C), \dots, A_{24}(C)) for any CFC \in \mathcal{F} can be uniquely expressed as a linear combination of the weight distributions of two fixed "basis" codes, C1C_1 and C2C_2, which are also in F\mathcal{F}.

The basis codes are defined as follows:

  • \textbf{Code C1C_1}: The weight enumerator polynomial WC1(x,y)=vC1x24wt(v)ywt(v)W_{C_1}(x, y) = \sum_{v \in C_1} x^{24-\text{wt}(v)} y^{\text{wt}(v)} is given by:

    WC1(x,y)=(x8+14x4y4+y8)3W_{C_1}(x, y) = \left( x^8 + 14x^4y^4 + y^8 \right)^3
  • \textbf{Code C2C_2}: This code has no vectors of weight 4 (i.e., A4(C2)=0A_4(C_2) = 0) and has exactly 759 vectors of weight 8 (i.e., A8(C2)=759A_8(C_2) = 759).

Let CC^* be a specific code in F\mathcal{F} that contains exactly 6 vectors of weight 4.

Calculate the number of vectors in CC^* that have weight 12.

Ground Truth
2612
Execution Trace
Reasoning Process

[THOUGHT] Let me analyze this problem step by step.

We have a family F\mathcal{F} of linear subspaces C{0,1}24C \subseteq \{0,1\}^{24} with:

  1. Dimension 12
  2. All weights divisible by 4
  3. Contains the all-ones vector 1\mathbf{1}

The weight distribution of any CFC \in \mathcal{F} can be expressed as a linear combination of weight distributions of two basis codes C1C_1 and C2C_2.

First, let me find the weight distribution of C1C_1 from its weight enumerator polynomial: WC1(x,y)=(x8+14x4y4+y8)3W_{C_1}(x, y) = (x^8 + 14x^4y^4 + y^8)^3

Then I need to find the weight distribution of C2C_2, which has A4(C2)=0A_4(C_2) = 0 and A8(C2)=759A_8(C_2) = 759.

Since any code in F\mathcal{F} has its weight distribution as a linear combination of C1C_1 and C2C_2's distributions, and CC^* has A4(C)=6A_4(C^*) = 6, I can find the coefficients and then compute A12(C)A_{12}(C^*).

Let me start by computing the weight distribution of C1C_1. [/THOUGHT] [PYTHON] from sympy import symbols, expand, Poly

x, y = symbols('x y')

Weight enumerator for C1

W_C1 = (x8 + 14*x4*y4 + y8)**3 W_C1_expanded = expand(W_C1) print("W_C1 expanded:", W_C1_expanded)

Extract coefficients for each weight k (coefficient of x^(24-k) * y^k)

A_C1 = {} for k in range(0, 25, 4): # weights are multiples of 4 coeff = W_C1_expanded.coeff(x, 24-k).coeff(y, k) A_C1[k] = coeff print(f"A_{k}(C1) = {coeff}")

print("\nWeight distribution of C1:", A_C1) [/PYTHON]

Tool Output
[PYTHON OUTPUT] W_C1 expanded: x**24 + 42*x**20*y**4 + 591*x**16*y**8 + 2828*x**12*y**12 + 591*x**8*y**16 + 42*x**4*y**20 + y**24 A_0(C1) = 1 A_4(C1) = 42 A_8(C1) = 591 A_12(C1) = 2828 A_16(C1) = 591 A_20(C1) = 42 A_24(C1) = 1 Weight distribution of C1: {0: 1, 4: 42, 8: 591, 12: 2828, 16: 591, 20: 42, 24: 1} [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] Now I have the weight distribution of C1C_1. For C2C_2, I know that A4(C2)=0A_4(C_2) = 0 and A8(C2)=759A_8(C_2) = 759.

Since any code CFC \in \mathcal{F} has weight distribution that is a linear combination of C1C_1 and C2C_2: Ak(C)=αAk(C1)+βAk(C2)A_k(C) = \alpha \cdot A_k(C_1) + \beta \cdot A_k(C_2)

For CC^* with A4(C)=6A_4(C^*) = 6: A4(C)=α42+β0=6A_4(C^*) = \alpha \cdot 42 + \beta \cdot 0 = 6 α=6/42=1/7\alpha = 6/42 = 1/7

Since the total number of codewords is 212=40962^{12} = 4096 for any code in F\mathcal{F}: α4096+β4096=4096\alpha \cdot 4096 + \beta \cdot 4096 = 4096 α+β=1\alpha + \beta = 1 β=11/7=6/7\beta = 1 - 1/7 = 6/7

Now I need to find A12(C2)A_{12}(C_2). Using the constraint that C2C_2 also has 4096 codewords: A0(C2)+A4(C2)+A8(C2)+A12(C2)+A16(C2)+A20(C2)+A24(C2)=4096A_0(C_2) + A_4(C_2) + A_8(C_2) + A_{12}(C_2) + A_{16}(C_2) + A_{20}(C_2) + A_{24}(C_2) = 4096

For C2C_2: A0(C2)=1A_0(C_2) = 1, A4(C2)=0A_4(C_2) = 0, A8(C2)=759A_8(C_2) = 759, A24(C2)=1A_{24}(C_2) = 1 (since 1C2\mathbf{1} \in C_2).

By symmetry (MacWilliams identity for self-dual codes), Ak=A24kA_k = A_{24-k}:

  • A16(C2)=A8(C2)=759A_{16}(C_2) = A_8(C_2) = 759
  • A20(C2)=A4(C2)=0A_{20}(C_2) = A_4(C_2) = 0

So: 1+0+759+A12(C2)+759+0+1=40961 + 0 + 759 + A_{12}(C_2) + 759 + 0 + 1 = 4096 A12(C2)=40961520=2576A_{12}(C_2) = 4096 - 1520 = 2576

Now compute A12(C)A_{12}(C^*): A12(C)=172828+672576=2828+625767=2828+154567=182847=2612A_{12}(C^*) = \frac{1}{7} \cdot 2828 + \frac{6}{7} \cdot 2576 = \frac{2828 + 6 \cdot 2576}{7} = \frac{2828 + 15456}{7} = \frac{18284}{7} = 2612 [/THOUGHT]

\boxed{2612}

Final Model Output
2612

Comparative Analysis (P8) (Average across runs)

Avg Time Taken

EXAONE-4.0.1-32B (high)
1193.7
Gemma-3-27B
684.9
Deepseek-R1-distill-Qwen-32B (high)
466.1
Gemini-3-Pro-Preview
303.8
GPT-oss-20B (high)
176.4
Solar-Pro-2 (31B)(high)
103.4
HCX-007(high)
74.7
Llama-VARCO-8B-Instruct
62.4
Grok-4.1-fast
55.5
Deepseek-V3.2
54.8
Qwen3-30B-A3B-2507
52.1
A.X-4.0 (72B)
45.7
GPT-5.1 (high)
44.6
Claude-Opus-4.5
21.1

Avg Token Usage

GPT-oss-20B (high)
27906.0
Gemini-3-Pro-Preview
24028.3
Solar-Pro-2 (31B)(high)
14501.0
HCX-007(high)
13209.7
Deepseek-V3.2
12658.3
Llama-VARCO-8B-Instruct
11392.3
Deepseek-R1-distill-Qwen-32B (high)
11316.3
Grok-4.1-fast
10882.7
EXAONE-4.0.1-32B (high)
7810.0
Qwen3-30B-A3B-2507
6876.7
GPT-5.1 (high)
6638.7
A.X-4.0 (72B)
6391.0
Claude-Opus-4.5
5126.7
Gemma-3-27B
2709.3