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.
Quadratic variation needs a partition convention
Remark
The identity established on this page is an almost-sure assertion along the fixed dyadic partition sequence of Quadratic variation along a partition sequence; the uniform form of that assertion is Uniform dyadic Brownian quadratic variation process. It is not a simultaneous assertion over all refining sequences, and the path-dependent or arbitrary refinements of a realized path are not covered.
What the quantifiers allow. The theorem cited above supplies almost-sure uniform convergence for the fixed dyadic sequence. For a general prescribed deterministic sequence whose mesh tends to zero, the standard conclusion without an additional summability or regularity hypothesis is convergence in probability, not almost-sure convergence along the whole sequence. In particular there is no single event on which every refining sequence simultaneously has the same limit, and the definition deliberately builds in no partition-independent object.
What fails without regularity. The convergence proofs use the independence of increments over a preselected mesh together with a summable mesh estimate. A refinement adapted to the oscillations of one realization destroys that independence and can change the sums; the deterministic partition dependence of quadratic sums is illustrated on the companion examples page, and the boundary is recorded here so that later semimartingale statements do not silently inherit a claim about arbitrary partitions.
No proof is attached to this remark: it records the quantifier boundary of the preceding definition and theorem rather than a new mathematical assertion.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
12 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
- Gregory F. Lawler, Stochastic Calculus: An Introduction with Applications, Section 2.8 (partition-dependence warning) (standard reference, not scraped)