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Theorem bj-ismoore 37946
Description: Characterization of Moore collections. Note that there is no sethood hypothesis on 𝐴: it is implied by either side (this is obvious for the LHS, and is the content of bj-mooreset 37943 for the RHS). (Contributed by BJ, 9-Dec-2021.)
Assertion
Ref Expression
bj-ismoore (𝐴 ∈ Moore ↔ ∀𝑥 ∈ 𝒫 𝐴(∪ 𝐴 ∩ ∩ 𝑥) ∈ 𝐴)
Distinct variable group:   𝑥,𝐴

Proof of Theorem bj-ismoore
Dummy variable 𝑦 is distinct from all other variables.
StepHypRef Expression
1 elex 3471 . 2 (𝐴 ∈ Moore → 𝐴 ∈ V)
2 bj-mooreset 37943 . 2 (∀𝑥 ∈ 𝒫 𝐴(∪ 𝐴 ∩ ∩ 𝑥) ∈ 𝐴 → 𝐴 ∈ V)
3 pweq 4570 . . . 4 (𝑦 = 𝐴 → 𝒫 𝑦 = 𝒫 𝐴)
4 unieq 4877 . . . . . 6 (𝑦 = 𝐴 → ∪ 𝑦 = ∪ 𝐴)
54ineq1d 4164 . . . . 5 (𝑦 = 𝐴 → (∪ 𝑦 ∩ ∩ 𝑥) = (∪ 𝐴 ∩ ∩ 𝑥))
6 id 23 . . . . 5 (𝑦 = 𝐴 → 𝑦 = 𝐴)
75, 6eleq12d 2854 . . . 4 (𝑦 = 𝐴 → ((∪ 𝑦 ∩ ∩ 𝑥) ∈ 𝑦 ↔ (∪ 𝐴 ∩ ∩ 𝑥) ∈ 𝐴))
83, 7raleqbidv 3334 . . 3 (𝑦 = 𝐴 → (∀𝑥 ∈ 𝒫 𝑦(∪ 𝑦 ∩ ∩ 𝑥) ∈ 𝑦 ↔ ∀𝑥 ∈ 𝒫 𝐴(∪ 𝐴 ∩ ∩ 𝑥) ∈ 𝐴))
9 df-bj-moore 37945 . . 3 Moore = {𝑦 ∣ ∀𝑥 ∈ 𝒫 𝑦(∪ 𝑦 ∩ ∩ 𝑥) ∈ 𝑦}
108, 9elab2g 3633 . 2 (𝐴 ∈ V → (𝐴 ∈ Moore ↔ ∀𝑥 ∈ 𝒫 𝐴(∪ 𝐴 ∩ ∩ 𝑥) ∈ 𝐴))
111, 2, 10pm5.21nii 381 1 (𝐴 ∈ Moore ↔ ∀𝑥 ∈ 𝒫 𝐴(∪ 𝐴 ∩ ∩ 𝑥) ∈ 𝐴)
Colors of variables:    wff setvar class
This proof depends on syntax axioms:   ↔ wb 209   = wceq 1570   ∈ wcel 2145  ∀wral 3076  Vcvv 3450   ∩ cin 3897  𝒫 cpw 4556  ∪ cuni 4866  ∩ cint 4906  Moorecmoore 37944
This proof depends on axioms:  ax-mp 5  ax-1 6  ax-2 7  ax-3 8  ax-gen 1828  ax-4 1842  ax-5 1943  ax-6 2000  ax-7 2041  ax-8 2147  ax-9 2155  ax-ext 2732  ax-sep 5248  ax-nul 5259  ax-pow 5326
This proof depends on definitions:  df-bi 210  df-an 402  df-3an 1105  df-tru 1573  df-fal 1583  df-ex 1813  df-sb 2100  df-clab 2739  df-cleq 2752  df-clel 2835  df-ral 3077  df-rex 3087  df-rab 3413  df-v 3452  df-dif 3901  df-in 3905  df-ss 3915  df-nul 4279  df-pw 4558  df-uni 4867  df-int 4907  df-bj-moore 37945
This theorem is used by:  bj-ismoored0  37947  bj-ismoored  37948  bj-ismooredr  37950
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