OAI/Probability/SLE/Mass/MomentLevels.lean
4 declarations, 0 contain sorry, 0 declared as axioms
The prescribed retained level in the first paper's moment-batch construction. Its definition counts bad positive integer levels. Monotonicity makes those levels an initial segment, so one plus their cardinal is a good level. The moment convergence hypotheses here are explicit internal proof inputs.
- theorem
OAI.SLEExactGauge.Target.batchLevel_ge_oneline 18 - theorem
OAI.SLEExactGauge.Target.finite_bad_moment_levelsline 23 - theorem
OAI.SLEExactGauge.Target.finiteMoment_batchLevel_gtline 39Source documentation
The actual
Target.batchLevel, not a separately chosen large level, retains more than three quarters of the limiting moment.theorem finiteMoment_batchLevel_gt (κ : ℝ) (W : WienerLaw) (n : ℕ) (hmono : Monotone (fun j : ℕ => finiteMoment κ W n j)) (hm : 0 < moment κ W n) (hlim : Tendsto (fun j : ℕ => finiteMoment κ W n j) atTop (𝓝 (moment κ W n))) : 3 * moment κ W n / 4 < finiteMoment κ W n (batchLevel κ W n) := by …Mentions: OAI.SLEExactGauge.Target.WienerLaw, OAI.SLEExactGauge.Target.finiteMoment, OAI.SLEExactGauge.Target.moment, OAI.SLEExactGauge.Target.batchLevel
- theorem
OAI.SLEExactGauge.Target.batchLevel_retains_momentline 65