Plain-English statement
- Canonical inclusion of elementary adapted processes into the progressive `L2` domain used for general Ito integration.
Read the mathematics first, then descend into Lean
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Proof architecture
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Syntax used on this page
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Lean statement
noncomputable def toProgressiveL2 (eta : ElementaryAdaptedProcess filtration n)
(mu : Measure Omega) [IsFiniteMeasure mu] (T : ℝ≥0) :
ProgressiveL2Integrand filtration mu T where
process := eta.value
progressive := value_stronglyProgressive eta
memLp := value_memLp_two eta mu T
@[simp] theorem toProgressiveL2_process
(eta : ElementaryAdaptedProcess filtration n)
(mu : Measure Omega) [IsFiniteMeasure mu] (T : ℝ≥0) :
(toProgressiveL2 eta mu T).process = eta.value :=
rfl
Open AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/ElementaryItoEmbedding.lean:125published source at 7bcd37294df1
Proof architecture
compare elementary approximants and general progressive integrands in one product-space L2 domain
Lean proof walkthrough
- Read the quantified variables and typeclass brackets as part of the mathematical statement; inferred arguments are not missing assumptions.
- `simp` normalizes through registered definitional and theorem rewrites.
Why the statement has this shape
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Hidden assumptions and non-claims
- Measurability is represented explicitly or must be supplied by a dependency.
- Density statements retain normalization and absolute-continuity prerequisites.