How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Product-measure equality is not pointwise equality
Statement refuted
The inference "two integrands that agree -almost everywhere agree as raw processes, and their Ito integrals agree because the processes agree" is false as stated. The deterministic processes are predictable with finite energy and agree -almost everywhere, but as raw processes they differ exactly on : their sections at differ at every , while they agree at every . Their Ito integrals on are nevertheless equal almost surely, so the correct equality is the almost-everywhere class, not pointwise agreement.
Facts & Assumptions
Given: AC, a horizon , the deterministic processes and .
and are predictable: a deterministic Borel function of the time variable is a predictable process, and the pointwise limit of predictable indicators are predictable, and . Progressively measurable and predictable processes
: the section at is the singleton , which is Lebesgue-null, so Tonelli gives the value . Hence almost everywhere for the product measure, and both have finite energy, . Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
The Ito integral is a function of the -class of the integrand: if two finite-energy predictable integrands agree almost everywhere, their integrals agree almost surely. The general Ito integral is well defined Ito integral for square-integrable predictable processes
AC is declared for the ambient interfaces. The Axiom of Choice
Counterexample
The two raw processes differ exactly on the time section : for one has at every , while for both vanish; by [F2] the exceptional set has product measure zero, so the processes are equal in the sense while failing pointwise equality for every .
Both processes are predictable by [F1] and have finite energy: integrates to and , so both integrals over are defined as classes.
By [F3] the integrals agree, almost surely, because the integrands differ on a product-null set; the equality of integrals is therefore not evidence of pointwise equality of the integrands.
The example isolates the convention in force throughout this development: representatives of predictable classes are interchangeable, deterministic singleton sections are invisible to the product measure, and every statement about an Ito integral is a statement about an almost-everywhere class. The degenerate variant agrees with even as a raw process on , since the elementary convention makes the value at time zero irrelevant; the singleton exhibits the genuine pointwise failure. AC enters only through [F4].
Source notes
Van der Vaart, Definition 5.25, defines the integral for equivalence classes of integrands; the example records that the equivalence is strictly coarser than pointwise equality, so citations to "the integrand" always mean its product-measure class.
Depends on
- Progressively measurable and predictable processes
- The general Ito integral is well defined
- Ito integral for square-integrable predictable processes
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- The Axiom of Choice
- AC supplies countable selections and prescribed serial paths
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
26 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Aad van der Vaart, Stochastic Integration and Differential Equations, Definition 5.25 (standard reference, not scraped)