II B: finite counts of inequivalent codes, Table I
OpenQAlgorithms.Papers.Independent.Intakethird100.P30.tableIFor positive integers , let count equivalence classes of unordered sets of distinct binary words of length with no constant columns. Equivalence permits any coordinate permutation followed by XOR with one fixed word. The exact numeric entries of Table I are
These are finite combinatorial cardinalities. No value is claimed for a dotted or shaded cell. The count uses complete group-action orbits of code sets, thereby forgetting word enumeration as well as coordinate symmetries.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P30
noncomputable section
namespace QAlgorithms.Papers.Independent.Intakethird100.P30
open scoped BigOperators Matrix ComplexConjugate ComplexOrder
attribute [local instance] Classical.propDecidable Classical.decEq
variable {I J K L A B : Type}
variable [Fintype I] [Fintype J] [Fintype K] [Fintype L]
variable [Fintype A] [Fintype B]
/-- PDF p.4, Table I: exact finite combinatorial counts, not SDP estimates.
Dots and shaded cells do not occur in tableEntries. -/
theorem tableI : ∀ e ∈ tableEntries, codeClassCount e.1 e.2.1 = e.2.2 := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P30
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
Let be the number of distinct orbit sets obtained from all -element subsets for which every coordinate takes both Boolean values among the words of , where the orbit set of consists of all sets as ranges over coordinate permutations and over all -bit words, with denoting Boolean exclusive-or. The theorem asserts for every triple in the following list:
It makes no assertion about pairs absent from this list.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.