Mem powerset sum of mem reduce to Fluxes Ten
FTheory.SU5.TenQuanta.mem_powerset_sum_of_mem_reduce_toFluxesTen
Project documentation
The reduce of TenQuanta is a new TenQuanta with all the fluxes corresponding to the same charge (i.e. representation) added together. -/ def reduce (x : TenQuanta 𝓩) : TenQuanta 𝓩 := x.toCharges.dedup.map fun q10 => (q10, ((x.filter (fun f => f.1 = q10)).map (fun y => y.2)).sum) /-! ### B.1. The reduced TenQuanta has no duplicate elements -/ lem...
Exact Lean statement
lemma mem_powerset_sum_of_mem_reduce_toFluxesTen {F : TenQuanta 𝓩}
{f : Fluxes} (hf : f ∈ F.reduce.toFluxesTen) :
f ∈ (Multiset.powerset F.toFluxesTen).map fun s => s.sumFormal artifact
Lean source
lemma mem_powerset_sum_of_mem_reduce_toFluxesTen {F : TenQuanta 𝓩} {f : Fluxes} (hf : f ∈ F.reduce.toFluxesTen) : f ∈ (Multiset.powerset F.toFluxesTen).map fun s => s.sum := by rw [toFluxesTen, Multiset.mem_map] at hf obtain ⟨⟨q, f⟩, hp, rfl⟩ := hf rw [mem_reduce_iff] at hp simp at hp obtain ⟨hq, rfl⟩ := hp simp only [Multiset.mem_map, Multiset.mem_powerset] use (Multiset.map (fun x => x.2) (Multiset.filter (fun x => x.1 = q) F)) simp only [and_true] rw [toFluxesTen] refine Multiset.map_le_map ?_ exact Multiset.filter_le (fun x => x.1 = q) F- Project
- Physlib
- License
- Apache-2.0
- Commit
- dd43e9e65791
- Source
- Physlib/StringTheory/FTheory/SU5/Quanta/TenQuanta.lean:349-362
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