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.
<|channel|>commentary to=python code<|message|>import sympy as sp x,y = sp.symbols('x y') W_C1 = (x8 + 14*x4*y4 + y8)**3 sp.expand(W_C1)
<|channel|>commentary to=python code<|message|># Compute A12(C*) as derived A12_C1 = 2828 A12_C2 = 2576 A12_Cstar = (1/7)*A12_C1 + (6/7)*A12_C2 A12_Cstar
[THOUGHT] We have verified that the weight distribution of C2 is indeed (A_0=1,; A_4=0,; A_8=759,; A_{12}=2576,; A_{16}=759,; A_{20}=0,; A_{24}=1). Using the linear combination coefficients (\alpha=1/7,;\beta=6/7) derived from (A_4(C^)=6) and (\alpha+\beta=1), we compute (A_{12}(C^) = \frac{1}{7}A_{12}(C_1)+\frac{6}{7}A_{12}(C_2) = \frac{1}{7}\cdot2828+\frac{6}{7}\cdot2576 = 404+2208 = 2612). Thus the number of weight‑12 vectors in (C^*) is (\boxed{2612}).