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.
Characteristic function criterion for weak convergence
Statement
Assume AC. For Borel probability laws and a specified Borel probability law on ,
Facts & Assumptions
Given: The hypotheses and conventions in the statement.
Weak convergence implies pointwise characteristic-function convergence. Levy continuity theorem forward direction.
A pointwise limit continuous at zero is the characteristic function of a unique law, to which the sequence converges. Levy continuity theorem converse.
Every characteristic function is continuous at zero. Basic properties of characteristic functions.
AC covers the choice uses inherited by the converse theorem. The Axiom of Choice.
Proof
If , the forward continuity theorem gives the right-hand side at every frequency, including zero, where all values are one.
Conversely suppose the right-hand side. The specified target has a characteristic function continuous at zero. Apply the converse theorem with : it gives a unique law with this characteristic function and . The law itself satisfies the characterizing property, so that uniqueness gives . AC is inherited through the converse theorem's Prokhorov, Fourier-uniqueness and integration-bridge uses. Point masses and constant sequences are included, and no nonzero variance, moment, or density is required.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
24 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
- Durrett, Probability: Theory and Examples, fifth edition (standard reference, not scraped)
- Norris, Probability and Measure (standard reference, not scraped)