Samplinglib
Lean gate passed 2026-08-19T06:32:39.895922+00:00 · 7bcd37294df1
Reviewed teaching declaration · ito-integral.doob-l2

doobL2_continuous

compiled Samplinglib leaf Compiled explicit smoke test

A continuous square-integrable martingale is controlled uniformly in time by four times its terminal second moment.

Plain-English statement

A continuous square-integrable martingale is controlled uniformly in time by four times its terminal second moment.

Scope guard. This card records a compiled local declaration. Its mathematical scope is exactly the Lean statement below; the Registry note and source correspondence may describe motivation but do not strengthen it.

Mathematical statement

E[sup_(0<=t<=T) |M_t|^2] <= 4 E[|M_T|^2].

Intuition

Finite Doob control is applied on nested dyadic observation grids; path continuity turns the increasing grid maxima into the full time supremum.

Conditions

  • a martingale on the filtration
  • almost-everywhere continuous paths
  • terminal L2 integrability
  • finite horizon

Why these conditions cannot be dropped

  • martingality drives the maximal inequality
  • continuity makes dyadic observations exhaustive
  • terminal L2 integrability makes the bound finite

Proof route

  • prove the finite discrete Doob inequality
  • sample on each dyadic grid
  • show grid maxima increase to the continuous supremum
  • pass to the limit by monotone convergence

Lean interface notes

  • the constant four is derived rather than assumed
  • the theorem feeds the uniform Borel-Cantelli construction
Lean learning studio · mathematics → formal proof

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Lean statement

theorem doobL2_continuous
    [IsFiniteMeasure mu] {filtration : Filtration ℝ≥0 m}
    {M : ℝ≥0 → Omega → ℝ} (hM : Martingale M filtration mu)
    {T : ℝ≥0} (hT : 0 < T)
    (hcont : ∀ᵐ omega ∂mu, ContinuousOn (fun t => M t omega) (Icc 0 T))
    (a : ℝ) :
    ENNReal.ofReal a ^ (2 : ℝ) * mu (continuousExceedEvent M T a) ≤
      4 * eLpNorm (M T) 2 mu ^ (2 : ℝ) := by
  have hsubset : continuousExceedEvent M T a ≤ᵐ[mu]
      dyadicMaxEventAll M T a := by
    filter_upwards [hcont] with omega hcontinuous homega
    obtain ⟨t, ht, hexceed⟩ := homega
    exact continuousOn_mem_dyadicMaxEventAll hT hcontinuous ht hexceed
  calc
    ENNReal.ofReal a ^ (2 : ℝ) * mu (continuousExceedEvent M T a) ≤
        ENNReal.ofReal a ^ (2 : ℝ) * mu (dyadicMaxEventAll M T a) :=
      mul_le_mul_of_nonneg_left (MeasureTheory.measure_mono_ae hsubset) bot_le
    _ ≤ 4 * eLpNorm (M T) 2 mu ^ (2 : ℝ) :=
      pow_mul_measure_dyadicMaxEventAll_le hM T a

end ContinuousDoobL2
end StochasticProcesses
end TechnicalLemmas
end AutoSamplingTheory
Common pitfall. A wrapper or display identity is not a new analytic theorem merely because it has its own Lean name. Check the statement, hypotheses, and downstream consumers before interpreting its mathematical contribution.