import OAI.Analysis.CircleDomains.Selection.FiniteChainPotential import OAI.Analysis.CircleDomains.Uniformization.BandLimits namespace OAI /-! Real-valued oscillation and topological bands of the truncated chain distance. The closure argument retains all cluster values. -/ open Set Filter open scoped Topology ENNReal noncomputable section namespace CircleDomainRigidity variable {X : Type*} def realChainPotential (R : X → X → ℝ≥0∞ → Prop) (E : Set X) (x : X) : ℝ := (chainPotential R E x).toReal theorem chainPotential_ne_top (R : X → X → ℝ≥0∞ → Prop) (E : Set X) (x : X) : chainPotential R E x ≠ ∞ := (lt_of_le_of_lt (chainPotential_le_one R E x) (by simp)).ne theorem realChainPotential_mem_Icc (R : X → X → ℝ≥0∞ → Prop) (E : Set X) (x : X) : realChainPotential R E x ∈ Icc 0 1 := by refine ⟨ENNReal.toReal_nonneg, ?_⟩ change (chainPotential R E x).toReal ≤ 1 simpa only [ENNReal.toReal_one] using ENNReal.toReal_mono (by simp : (1 : ℝ≥0∞) ≠ ∞) (chainPotential_le_one R E x) theorem realChainPotential_difference (R : X → X → ℝ≥0∞ → Prop) (hR : ∀ x y a, R x y a → R y x a) {E : Set X} {x y : X} {a : ℝ≥0∞} (h : R x y a) : ENNReal.ofReal |realChainPotential R E y - realChainPotential R E x| ≤ 4 * a := by by_cases ha : a = ∞ · simp [ha] have hcost : (4 : ℝ≥0∞) * a ≠ ∞ := ENNReal.mul_ne_top (by simp) ha obtain ⟨hyx, hxy⟩ := chainPotential_two_sided R hR (E := E) h have hyxr := ENNReal.toReal_mono (ENNReal.add_ne_top.mpr ⟨chainPotential_ne_top R E x, hcost⟩) hyx have hxyr := ENNReal.toReal_mono (ENNReal.add_ne_top.mpr ⟨chainPotential_ne_top R E y, hcost⟩) hxy rw [ENNReal.toReal_add (chainPotential_ne_top R E x) hcost] at hyxr rw [ENNReal.toReal_add (chainPotential_ne_top R E y) hcost] at hxyr apply (ENNReal.ofReal_le_iff_le_toReal hcost).mpr apply abs_le.mpr change -(4 * a).toReal ≤ (chainPotential R E y).toReal - (chainPotential R E x).toReal ∧ (chainPotential R E y).toReal - (chainPotential R E x).toReal ≤ (4 * a).toReal constructor <;> linarith variable [TopologicalSpace X] [FirstCountableTopology X] theorem clusterGraph_oscillation_of_neighborhood {G V : Set X} {f : X → ℝ} {s : X} {a b : ℝ} {c : ℝ≥0∞} (hV : V ∈ 𝓝 s) (hbound : ∀ x ∈ G ∩ V, ∀ y ∈ G ∩ V, ENNReal.ofReal |f x - f y| ≤ c) (ha : (s, a) ∈ clusterGraph G f) (hb : (s, b) ∈ clusterGraph G f) : ENNReal.ofReal |a - b| ≤ c := by obtain ⟨v, hfv, hv⟩ := (mem_clusterGraph_iff_mapClusterPt.mp ha).exists_seq_tendsto obtain ⟨w, hfw, hw⟩ := (mem_clusterGraph_iff_mapClusterPt.mp hb).exists_seq_tendsto have hvg := (tendsto_nhdsWithin_iff.mp hv).2 have hwg := (tendsto_nhdsWithin_iff.mp hw).2 have hvv := (tendsto_nhdsWithin_iff.mp hv).1.eventually hV have hwv := (tendsto_nhdsWithin_iff.mp hw).1.eventually hV apply le_of_tendsto (ENNReal.tendsto_ofReal ((hfv.sub hfw).abs)) filter_upwards [hvg, hwg, hvv, hwv] with n hvg hwg hvv hwv exact hbound (v n) ⟨hvg, hvv⟩ (w n) ⟨hwg, hwv⟩ theorem clusterGraph_oscillation_of_jumps (R : X → X → ℝ≥0∞ → Prop) (hR : ∀ x y a, R x y a → R y x a) (E G : Set X) {s : X} {V : ℕ → Set X} (hV : ∀ j, V j ∈ 𝓝 s) (c : ℕ → ℝ≥0∞) (hj : ∀ j, ∀ x ∈ G ∩ V j, ∀ y ∈ G ∩ V j, R x y (c j)) {a b : ℝ} (ha : (s, a) ∈ clusterGraph G (realChainPotential R E)) (hb : (s, b) ∈ clusterGraph G (realChainPotential R E)) : ENNReal.ofReal |a - b| ≤ 4 * limsup c atTop := by have hc (j : ℕ) : ENNReal.ofReal |a - b| ≤ 4 * c j := clusterGraph_oscillation_of_neighborhood (hV j) (fun x hx y hy => realChainPotential_difference R hR (hj j y hy x hx)) ha hb have hl : ENNReal.ofReal |a - b| ≤ limsup (fun j => (4 : ℝ≥0∞) * c j) atTop := by apply le_limsup_of_le (h := ?_) intro t ht obtain ⟨j, hj⟩ := ht.exists exact (hc j).trans hj have hm := ENNReal.limsup_mul_le' (f := atTop) (u := fun _ : ℕ => (4 : ℝ≥0∞)) (v := c) (Or.inl (by simp)) (Or.inl (by simp)) simp only [limsup_const] at hm exact hl.trans hm end CircleDomainRigidity end end OAI