All proofs
Project-declaredLean 4.33.0-rc1 · mathlib@0434c033

Integral sum weight increments mem Icc

ProbabilityTheory.integral_sum_weight_increments_mem_Icc

Plain-language statement

Two-sided expectation bound for adapted {0,1}-weighted increment sums of X, from the boundedness of elementary stochastic integrals at time t. The lower bound uses the complementary weights 1 - W.

Exact Lean statement

lemma integral_sum_weight_increments_mem_Icc [OrderBot ι]
    (hXint : ∀ s, Integrable (X s) μ) {C : ℝ}
    (hC : ∀ S : ElementaryPredictableSet 𝓕, μ[(S.indicator (1 : ℝ) ● X) t] ≤ C)
    {n : ℕ} {idx : ℕ → ι} (hidx : Monotone idx) (hidxt : ∀ k, idx k ≤ t)
    {W : ℕ → Ω → ℝ} (hW01 : ∀ k, k < n → ∀ ω, W k ω = 0 ∨ W k ω = 1)
    (hWmeas : ∀ k, k < n → Measurable[𝓕 (idx k)] (W k)) :
    ∫ ω, (∑ k ∈ range n, W k ω * (X (idx (k + 1)) ω - X (idx k) ω)) ∂μ
        ∈ Set.Icc (-(C + ∫ ω, |X (idx n) ω - X (idx 0) ω| ∂μ)) C

Formal artifact

Lean source

Canonical source
Full Lean sourceLean 4
lemma integral_sum_weight_increments_mem_Icc [OrderBot ι]    (hXint :  s, Integrable (X s) μ) {C : }    (hC :  S : ElementaryPredictableSet 𝓕, μ[(S.indicator (1 : ) ● X) t]  C)    {n : } {idx :   ι} (hidx : Monotone idx) (hidxt :  k, idx k  t)    {W :   Ω  } (hW01 :  k, k < n   ω, W k ω = 0  W k ω = 1)    (hWmeas :  k, k < n  Measurable[𝓕 (idx k)] (W k)) :    ∫ ω, (∑ k  range n, W k ω * (X (idx (k + 1)) ω - X (idx k) ω)) ∂μ         Set.Icc (-(C + ∫ ω, |X (idx n) ω - X (idx 0) ω| ∂μ)) C := by  have hb01 :  (V :   Ω  ), ( k, k < n   ω, V k ω = 0  V k ω = 1)        k, k < n   ω, ‖V k ω‖  1 := by    intro V hV k hk ω    rcases hV k hk ω with h | h <;> simp [h]  have hupper :  (V :   Ω  ), ( k, k < n   ω, V k ω = 0  V k ω = 1)       ( k, k < n  Measurable[𝓕 (idx k)] (V k))       ∫ ω, (∑ k  range n, V k ω * (X (idx (k + 1)) ω - X (idx k) ω)) ∂μ  C := by    intro V hV01 hVmeas    let S := elemPredSetOfSeq hidx n hVmeas    have hS := integral_elemPredSetOfSeq (𝓕 := 𝓕) (X := X) n hidx hidxt (W := V) hV01 hVmeas    rw [ funext_iff] at hS    rw [ hS]    exact hC S  constructor  · -- lower bound via the complementary weights    have hW1 :  k, k < n   ω, (1 - W k ω) = 0  (1 - W k ω) = 1 := by grind    have hW1meas :  k, k < n  Measurable[𝓕 (idx k)] (fun ω  1 - W k ω) :=      fun k hk  (measurable_const.sub (hWmeas k hk))    have hco := hupper (fun k ω  1 - W k ω) hW1 hW1meas    have hsplit :  ω, (∑ k  range n, W k ω * (X (idx (k + 1)) ω - X (idx k) ω))        = (X (idx n) ω - X (idx 0) ω)          - ∑ k  range n, (1 - W k ω) * (X (idx (k + 1)) ω - X (idx k) ω) := by      intro ω      have htel : ∑ k  range n, (X (idx (k + 1)) ω - X (idx k) ω)          = X (idx n) ω - X (idx 0) ω := sum_range_sub (fun k  X (idx k) ω) n      rw [ htel,  sum_sub_distrib]      grind    have hint1 : Integrable        (fun ω  ∑ k  range n, (1 - W k ω) * (X (idx (k + 1)) ω - X (idx k) ω)) μ :=      integrable_sum_weight_increments hXint        (fun k hk  ((hW1meas k hk).mono (𝓕.le _) le_rfl).aestronglyMeasurable)        (hb01 _ hW1)    have hintsub : Integrable (fun ω  X (idx n) ω - X (idx 0) ω) μ :=      (hXint _).sub (hXint _)    have hI : ∫ ω, (∑ k  range n, W k ω * (X (idx (k + 1)) ω - X (idx k) ω)) ∂μ        = (∫ ω, (X (idx n) ω - X (idx 0) ω) ∂μ)          - ∫ ω, (∑ k  range n, (1 - W k ω) * (X (idx (k + 1)) ω - X (idx k) ω)) ∂μ := by      rw [integral_congr_ae (μ := μ) (ae_of_all _ hsplit), integral_sub hintsub hint1]    have hT : -(∫ ω, |X (idx n) ω - X (idx 0) ω| ∂μ)         ∫ ω, (X (idx n) ω - X (idx 0) ω) ∂μ := by      rw [neg_le]      calc -∫ ω, (X (idx n) ω - X (idx 0) ω) ∂μ           |∫ ω, (X (idx n) ω - X (idx 0) ω) ∂μ| := neg_le_abs _        _  ∫ ω, |X (idx n) ω - X (idx 0) ω| ∂μ := abs_integral_le_integral_abs    rw [hI]    linarith [hco]  · exact hupper W hW01 hWmeas
Project
Brownian motion
License
Apache-2.0
Commit
5077304f5e73
Source
BrownianMotion/StochasticIntegral/Quasimartingale/MaximalInequality.lean:489-543

Reuse this declaration

Bring the exact result into your workflow

The import identifies the source module. Your project still needs the pinned package dependency shown on this page.

What this badge means

This completion status comes from the project or community source. It has not yet been represented here as an independent rebuild and axiom audit.

Continue in this project

Related declarations

Project-declaredLean 4.33.0-rc1

Continuous Within At Iio indicator Ioc

continuousWithinAt_Iio_indicator_Ioc

Plain-language statement

The indicator of a half-open interval Ioc a b with constant value c is left-continuous: when approached from the left it is eventually constant, so it is continuous within Iio t at t for every t.

probabilitystochastic processesmeasure theory

Source project: Brownian motion

Person-level attribution pending.

View proof record
Project-declaredLean 4.33.0-rc1

Dense comap val nhds Within Ioi ne Bot

Dense.comap_val_nhdsWithin_Ioi_neBot

Project documentation

This is an auxillary lemma used to prove Dense.monotone_of_isRightContinuous. It is saying that if D is a dense set and a, b are two points such that a < b, then the comap of 𝓝[Set.Ioi a] a under the inclusion D → α is nontrivial. Note that a < b is necessary as this is clearly not true if a is a top element.

probabilitystochastic processesmeasure theory

Source project: Brownian motion

Person-level attribution pending.

View proof record