Boolean-sum symmetry
Lax461425.BooleanSumSymmetry · concepts/Lax461425/BooleanSumSymmetry.lean · lax-461425
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Theorem
Every polynomial of a family in symmetric VNP is invariant under independent row and column permutations of the matrix variables.
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| 1 | import Lax461425.SymmetricFamilies |
| 2 | import Lax461425.SymmetricClasses |
| 3 | import Lax461425.SymmetricVNP |
| 4 | |
| 5 | /-! |
| 6 | --- |
| 7 | title: Boolean-sum symmetry |
| 8 | type: theorem |
| 9 | --- |
| 10 | Every polynomial of a family in symmetric VNP is invariant under independent row and |
| 11 | column permutations of the matrix variables. |
| 12 | -/ |
| 13 | |
| 14 | namespace Lax461425.BooleanSumSymmetry |
| 15 | |
| 16 | open SymmetricFamilies SymmetricClasses SymmetricVNP |
| 17 | |
| 18 | /-- Every member of a symmetric VNP family is matrix-invariant. -/ |
| 19 | axiom matrixInvariant_of_mem {K : Type*} [CommSemiring K] (f : MatrixFamily K) |
| 20 | (hf : InSymVNP f) (n : ℕ) : MatrixInvariant (f n) |
| 21 | |
| 22 | end Lax461425.BooleanSumSymmetry |
| 23 |
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