OAI/Analysis/LipschitzHilbert/Trees/SourceLineMaximal.lean
12 declarations, 0 contain sorry, 0 declared as axioms
Actual integer-indexed dyadic line averages. The alternating grids are handled directly, with no alignment premise between a packet and a root.
- theorem
OAI.LipschitzHilbert.DyadicLineGrid.index_fiberline 15 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.index_measurableline 24 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.parent_index_eqline 31 - def
OAI.LipschitzHilbert.DyadicLineGrid.lineFiltrationline 35 - def
OAI.LipschitzHilbert.DyadicLineGrid.rootMeasureline 48 - instance
OAI.LipschitzHilbert.DyadicLineGrid.rootMeasure_finiteline 50 - def
OAI.LipschitzHilbert.DyadicLineGrid.lineAverageline 55 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.lineAverage_martingaleline 58 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.lineAverage_memLpline 62 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.lineAverage_constantline 66 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.lineAverage_eq_cell_meanline 74Source documentation
Each conditional expectation equals the literal average on the actual dyadic cell containing the point.
theorem lineAverage_eq_cell_mean (q top j : ℤ) {f : ℝ → ℝ} (hf : Integrable f (rootMeasure q top j)) (n : ℕ) {x : ℝ} (hx : x∈cell q top j) : lineAverage q top j f n x = (∫ y in cell q (top-(n:ℤ)) (index q (top-(n:ℤ)) x), f y)/scale (top-(n:ℤ)) := by …Mentions: OAI.LipschitzHilbert.DyadicLineGrid.rootMeasure, OAI.LipschitzHilbert.DyadicLineGrid.cell, OAI.LipschitzHilbert.DyadicLineGrid.lineAverage, OAI.LipschitzHilbert.DyadicLineGrid.index, OAI.LipschitzHilbert.DyadicLineGrid.scale
- theorem
OAI.LipschitzHilbert.DyadicLineGrid.lineAverage_maximal_energyline 105Source documentation
Doob's bound on a root has a constant independent of the root, grid, and number of retained scales.
theorem lineAverage_maximal_energy (q top j : ℤ) {f : ℝ → ℝ} (hf : MemLp f 2 (rootMeasure q top j)) (N : ℕ) : (∫ x, (finiteMaxSignal (lineAverage q top j f) N x)^2 ∂rootMeasure q top j) ≤ 4*∫ x, (f x)^2 ∂rootMeasure q top j := by …Mentions: OAI.LipschitzHilbert.DyadicLineGrid.rootMeasure, OAI.LipschitzHilbert.finiteMaxSignal, OAI.LipschitzHilbert.DyadicLineGrid.lineAverage