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.
Pointwise limit discontinuous at zero signals mass escape
Statement refuted
A pointwise limit of characteristic functions need not be a characteristic function. Under AC, take uniform on , . Its characteristic function is for , with value one at zero. The pointwise limit is , which is not a characteristic function, and the family of laws is not tight.
Facts & Assumptions
Given: The hypotheses and conventions in the statement refuted.
Every characteristic function is continuous at zero. Basic properties of characteristic functions.
Tightness requires a common compact set for all laws. Tight family of probability measures.
Compact primitive increments evaluate integrals. The second fundamental theorem: if is differentiable on with and is integrable, then .
The real trigonometric primitives differentiate as usual. The derivatives of sine and cosine are cosine and minus sine.
The compact integration bridge assumes countable choice. A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral.
AC supplies that countable choice. The Axiom of Choice.
A nonnegative density defines a measure. The indefinite integral of a nonnegative measurable function is a measure.
The defining integrand has unit modulus. Characteristic function of a real random variable.
Nonnegative measurable tests against a density can be integrated as products. Integrating against a density agrees with integrating the product.
Scaling the argument in a trigonometric function multiplies its derivative by that scale. The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with .
Counterexample
For each integer , the Borel density integrates to one and hence defines . Apply [F9] separately to the positive and negative parts of the bounded real functions and and subtract their finite integrals; reassembling the real and imaginary components shows that its transform is . When , integrating the cosine using gives , and the sine integral vanishes by oddness (or its primitive ). The compact bridge validates these Lebesgue calculations. At t=0 the integrand is one. For each fixed nonzero t, , while at zero the sequence is constantly one.
The function is discontinuous at zero: at its value is zero for every positive integer k, while its value at zero is one. Since every characteristic function is continuous there, it cannot be the characteristic function of any Borel probability. Moreover for every , . Every nonempty compact K is contained in such an interval, so eventually and its complement has mass greater than . The empty compact set has complement mass one for every n. No compact set works for error , proving non-tightness. The index n=0 is excluded because the displayed density divides by 2n; a point mass at zero would be a different law. AC is used only through the compact integration bridge and its continuous-integrand prerequisites.
Depends on
- Basic properties of characteristic functions
- Tight family of probability measures
- The second fundamental theorem: if $G$ is differentiable on $[a,b]$ with $G' = f$ and $f$ is integrable, then $\int_a^b f = G(b)-G(a)$
- The derivatives of sine and cosine are cosine and minus sine
- A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral
- The Axiom of Choice
- The indefinite integral of a nonnegative measurable function is a measure
- Characteristic function of a real random variable
- Integrating against a density agrees with integrating the product
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
81 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)