Let . We consider the family of all linear subspaces that satisfy the following three conditions:
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The dimension of is 12.
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The Hamming weight of every vector in is a multiple of 4.
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The vector is contained in .
For any , let denote the number of vectors in having Hamming weight . It is a known theoretical result that the weight distribution sequence for any can be uniquely expressed as a linear combination of the weight distributions of two fixed "basis" codes, and , which are also in .
The basis codes are defined as follows:
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\textbf{Code }: The weight enumerator polynomial is given by:
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\textbf{Code }: This code has no vectors of weight 4 (i.e., ) and has exactly 759 vectors of weight 8 (i.e., ).
Let be a specific code in that contains exactly 6 vectors of weight 4.
Calculate the number of vectors in that have weight 12.
[THOUGHT] Let me analyze this problem step by step.
We have a family of linear subspaces with:
- Dimension 12
- All weights divisible by 4
- Contains the all-ones vector
The weight distribution of any can be expressed as a linear combination of weight distributions of two basis codes and .
First, let me find the weight distribution of from its weight enumerator polynomial:
Then I need to find the weight distribution of , which has and .
Since any code in has its weight distribution as a linear combination of and 's distributions, and has , I can find the coefficients and then compute .
Let me start by computing the weight distribution of . [/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]
[THOUGHT] Now I have the weight distribution of . For , I know that and .
Since any code has weight distribution that is a linear combination of and :
For with :
Since the total number of codewords is for any code in :
Now I need to find . Using the constraint that also has 4096 codewords:
For : , , , (since ).
By symmetry (MacWilliams identity for self-dual codes), :
So:
Now compute : [/THOUGHT]
\boxed{2612}