Plain-English statement
- Completion preserves strong progressiveness.
Read the mathematics first, then descend into Lean
You do not need to know Lean before opening this panel. The page keeps the paper-level theorem, rigorous proof obligations, exact Lean declaration, and proof dependencies as separate layers so a first-time reader can move down one layer at a time.
Proof architecture
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How to read the exact Lean declaration
Read a Lean theorem left-to-right exactly as you would unpack a mathematical sentence: name → ambient types → automatically inferred structures → explicit hypotheses → conclusion → proof. Then read the proof top-to-bottom as transformations of the current goal.
- NameWhat reusable mathematical fact is being created?
- ParametersWhich symbols are arbitrary, and which structures are inferred by typeclass search?
- PropositionAfter the colon, translate the Lean expression back into a paper statement.
- Proof actionsAfter
by, ask what each tactic does to the mathematical goal—not only what syntax it uses.
Syntax used on this page
This glossary is filtered to syntax that actually occurs in the declaration above. Open a symbol only when you meet it, rather than memorizing Lean grammar in advance.
Source voice and ASTIS voice stay separate
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Lean statement
theorem completedIntegrand_stronglyProgressive
(hUsual : SatisfiesUsualConditions filtration mu)
(eta : LocalProgressiveL2Integrand filtration mu T) :
IsStronglyProgressive filtration (completedIntegrand hUsual eta) := by
classical
intro terminal
have hbad : @MeasurableSet (Set.Iic terminal × Omega)
(Subtype.instMeasurableSpace.prod (filtration terminal))
{p | p.2 ∈ badEnergySet eta} :=
(measurableSet_badEnergySet hUsual eta terminal).preimage measurable_snd
have hite : @StronglyMeasurable (Set.Iic terminal × Omega) ℝ inferInstance
(Subtype.instMeasurableSpace.prod (filtration terminal))
(fun p => if p.2 ∈ badEnergySet eta then 0 else eta.process p.1 p.2) :=
StronglyMeasurable.ite hbad stronglyMeasurable_const (eta.progressive terminal)
simpa only [completedIntegrand] using hite
/-- Every completed sample path has an integrable square on the finite time
horizon. -/
Open AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/CompletedIntegrand.lean:36published source at 7bcd37294df1
Proof architecture
replace nonintegrable sample paths by zero while preserving the progressive sigma-algebra
Lean proof walkthrough
- Read the quantified variables and typeclass brackets as part of the mathematical statement; inferred arguments are not missing assumptions.
- `intro` introduces quantified hypotheses into the local proof context.
- `have` creates a named intermediate mathematical fact.
- `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.