Plain-English statement
- The completed Itô process has mean zero when evaluated at a stopping time that is pointwise bounded by its construction horizon.
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Proof architecture
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Lean statement
theorem integral_itoIntegralProcess_at_boundedStopping_eq_zero
[IsFiniteMeasure mu]
(eta : ProgressiveL2Integrand filtration mu T) (hT : 0 < T)
(tau : Omega → ℝ≥0)
(htau : IsChewiStoppingTime filtration
(fun omega => (tau omega : WithTop ℝ≥0)))
(htauT : ∀ omega, tau omega ≤ T)
(hB : IsBrownianMotionWithFiltration B filtration mu)
(hUsual : SatisfiesUsualConditions filtration mu) :
∫ omega, itoIntegralProcess eta hT hB hUsual (tau omega) omega ∂mu = 0 := by
let _ : IsProbabilityMeasure mu := hB.isProbabilityMeasure
let stoppedEta := stop eta (fun omega => (tau omega : WithTop ℝ≥0)) htau
have hmartingale :
Martingale (itoIntegralProcess stoppedEta hT hB hUsual) filtration mu :=
itoIntegralProcess_martingale stoppedEta hT hB hUsual
have hterminalMean :
∫ omega, terminalRepresentative stoppedEta hT hB omega ∂mu = 0 := by
have hmean := hmartingale.setIntegral_eq (show (0 : ℝ≥0) ≤ T from bot_le)
(MeasurableSet.univ : MeasurableSet[filtration 0] Set.univ)
have hprocessMean :
∫ omega, itoIntegralProcess stoppedEta hT hB hUsual T omega ∂mu = 0 := by
simpa only [Measure.restrict_univ, itoIntegralProcess_at_zero,
Pi.zero_apply, integral_zero] using hmean.symm
exact integral_congr_ae
(terminalRepresentative_ae_eq_actual stoppedEta hT hB hUsual) |>.trans hprocessMean
calc
∫ omega, itoIntegralProcess eta hT hB hUsual (tau omega) omega ∂mu =
∫ omega, terminalRepresentative stoppedEta hT hB omega ∂mu := by
apply integral_congr_ae
exact (itoIntegralTerminal_stop_ae eta hT tau htau htauT hB hUsual).symm
_ = 0 := hterminalMean
end BoundedStoppedItoMean
end StochasticProcesses
end TechnicalLemmas
end AutoSamplingTheory
Open AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/BoundedStoppedItoMean.lean:55published source at ed709a7f320d
Proof architecture
replace an abstract optional-stopping or centered-martingale premise by the constructed completed Ito process at a bounded stopping time
Lean proof walkthrough
- Read the quantified variables and typeclass brackets as part of the mathematical statement; inferred arguments are not missing assumptions.
- `have` creates a named intermediate mathematical fact.
- `calc` records an equality or inequality chain matching a paper calculation.
- `apply` reduces the goal to the hypotheses of a reusable theorem.
- `exact` closes the current goal with an already typed term.
- `simpa` closes the goal after a controlled simplification of a typed result.
Why the statement has this shape
The declaration is kept at the reusable level recorded by its Registry tags and direct consumers. Explicit measures, spaces, wrappers, and regularity hypotheses expose interfaces that paper notation often infers. A theorem card explains those interfaces but never widens the compiled statement.
Hidden assumptions and non-claims
- Measurability is represented explicitly or must be supplied by a dependency.
- Integrability is an input or proved output; a displayed integral alone does not supply it.
- Almost-everywhere hypotheses depend on the stated measure and representative.