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Project-declaredLean 4.33.0-rc1 · mathlib@0434c033

Eq i Union

ProbabilityTheory.stochIoc.eq_iUnion

Plain-language statement

]]σ,τ]] = ⋃ᵢ (i, i+1] × {σ ≤ i < τ} as subsets of ℕ × Ω , a purely arithmetic identity on ℕ∞, valid for any σ, τ.

Exact Lean statement

lemma eq_iUnion (σ τ : Ω → ℕ∞) :
    stochIoc σ τ = ⋃ i : ℕ, Set.Ioc i (i + 1) ×ˢ {ω | σ ω ≤ i ∧ i < τ ω}

Formal artifact

Lean source

Canonical source
Full Lean sourceLean 4
lemma eq_iUnion (σ τ : Ω  ∞) :    stochIoc σ τ = ⋃ i : , Set.Ioc i (i + 1) ×ˢ {ω | σ ω  i  i < τ ω} := by  ext t, ω  simp only [mem_iUnion, Set.mem_prod, Set.mem_Ioc, Set.mem_ofPred_eq]  constructor  · rintro hlt, hle    obtain hsub, ht1 := lt_coe_iff_le_coe_sub_one.mp hlt    refine t - 1, by lia, by lia, hsub, ?_    refine lt_of_lt_of_le ?_ hle    refine coe_lt_iff_coe_succ_le.mpr ?_    simp only [ht1, Nat.sub_add_cancel, ENat.some_eq_natCast]    norm_cast  · rintro i, hi_lt, hi_le, hσi, hiτ    have ht : t = i + 1 := by lia    subst ht    exact lt_of_le_of_lt hσi (Nat.cast_lt.mpr (by lia)),      (coe_lt_iff_coe_succ_le).mp hiτ
Project
Brownian motion
License
Apache-2.0
Commit
5077304f5e73
Source
BrownianMotion/StochasticIntegral/StochasticInterval.lean:126-142

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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.

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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.

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