The actual reflected Lévy process full continuous-time prefix supremum is adapted via dense-grid plus endpoint representation
ProvedAvramDividend.Classical.reflectedSup_fullPrefixSup_adapted_of_denseThe complete continuous-time supremum of the actual reflected spectrally negative Lévy process over [0,t] is adapted to its filtration. Fix any dense countable time set S containing zero. The already accepted dense_timeSup_with_endpoint theorem identifies the full prefix supremum with the maximum of the sampled running supremum over S∩[0,t] and R_t, provided the path is right-continuous and bounded above. Actual reflected right continuity and upper semicontinuity on compact intervals supply these path hypotheses. The general countable-sample adaptedness theorem and actual reflected adaptedness make both terms measurable in filtration t. Consequently no filtration right-continuity is required for full-prefix supremum adaptedness. This is a crucial bridge from sampled observability to true continuous-time first closed-superlevel hitting events.
import Mathlib.Probability.Process.Adapted import Mathlib.Topology.Semicontinuity.Basic import Mathlib.MeasureTheory.Constructions.BorelSpace.Order import Theorems.Thm_AvramDividend_Classical_reflectedSup_adapted import Theorems.Thm_AvramDividend_Classical_reflectedSup_right_continuous import Theorems.Thm_AvramDividend_Classical_reflectedSup_upperSemicontinuousOn_Icc import Theorems.Thm_AvramDividend_Classical_dense_timeSup_with_endpoint import Theorems.Thm_AvramDividend_Classical_countable_pastSup_adapted_of_adapted open AvramDividend.Classical MeasureTheory Set Topology open scoped NNReal
theorem AvramDividend.Classical.reflectedSup_fullPrefixSup_adapted_of_dense
{Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω}
{𝓕 : Filtration ℝ≥0 mΩ}
(X : SpectrallyNegativeLevy P 𝓕)
(S : Set ℝ≥0) (hS : S.Countable) (hDense : Dense S)
(h0 : (0 : ℝ≥0) ∈ S) :
Adapted 𝓕 (fun t ω =>
⨆ s : Set.Icc (0 : ℝ≥0) t, reflectedSup X s.1 ω) := by sorry