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Levy continuity theorem converse
Statement
Assume AC. Let be Borel probability laws on with characteristic functions . If at every real and is continuous at zero, there is a unique Borel probability law with characteristic function , and .
Facts & Assumptions
Given: The hypotheses and conventions in the statement.
The triangular weight has mass one and bounds each law tail. Tightness from characteristic function equicontinuity at zero.
Characteristic functions are continuous, normalized at zero and bounded by one. Basic properties of characteristic functions.
Weak limits have pointwise limiting characteristic functions. Levy continuity theorem forward direction.
Under AC a characteristic function determines at most one Borel law. Uniqueness of a law from its characteristic function.
Under AC tight families on Polish spaces are relatively sequentially weakly compact. Prokhorov tightness theorem on polish spaces.
A fixed integrable majorant allows passage through the integral. Dominated convergence.
AC covers Prokhorov, Fourier uniqueness and the triangular-kernel integration bridge. The Axiom of Choice.
Weak convergence means convergence of every bounded continuous real test. Weak convergence of borel probability measures.
An increasing exhaustion recovers the total mass. Continuity from below for measures.
The usual real metric is complete. and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in .
A separable completely metrizable space is Polish. Polish spaces are separable completely metrizable spaces.
The rationals form a countable set. is countably infinite.
The rationals are dense in the real line. The rationals embed densely in the reals.
Real pointwise limits of measurable functions are measurable. Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable.
Proof
Normalization and the pointwise limit give and . Its real and imaginary parts are Borel as pointwise limits of continuous real functions. For a fixed , put and . The integrands converge pointwise and lie between zero and , an integrable majorant of integral two. Hence . Given , continuity at zero permits so small that on . Then , and for every sufficiently large , . The quantitative tail bound gives for those . No equicontinuity of the sequence has been assumed.
For each of the finitely many earlier indices, as . Taking the maximum of and finitely many radii therefore gives with for every . This interval is compact, so the whole sequence is tight. The argument also covers the case of no exceptional early indices. The real line is complete, and its countable dense rational subset makes it Polish. Prokhorov now provides a subsequence , with a Borel probability law.
For each real , forward continuity gives . Uniqueness of laws with a given characteristic function shows that this is unique. Every subsequence of the original sequence is tight by the same compact bounds and hence has a further weakly convergent subsequence; its limit has characteristic function by exactly the preceding equality and therefore equals .
Fix a bounded continuous real . If failed to converge to , there would be and infinitely many indices whose errors are at least . Enumerate them in increasing order, taking the least next index at every stage. Step 3.1 gives a further subsequence converging weakly to , contradicting this fixed error bound for . Thus every such test converges and . At frequency zero all characteristic functions and equal one, so a zero-mass limit is excluded. Constant sequences and point masses need no separate nondegeneracy condition. AC here is inherited from Prokhorov (compact selections and its subsequence supplier), Fourier uniqueness, and the integration bridge; the least-index test argument uses no additional choice.
Depends on
- Tightness from characteristic function equicontinuity at zero
- Basic properties of characteristic functions
- Levy continuity theorem forward direction
- Uniqueness of a law from its characteristic function
- Prokhorov tightness theorem on polish spaces
- Dominated convergence
- The Axiom of Choice
- Weak convergence of borel probability measures
- Continuity from below for measures
- $\mathbb{R}$ and $\mathbb{R}^n$ for $n \ge 1$ with the Euclidean metric are complete, componentwise from the Cauchy criterion in $\mathbb{R}$
- Polish spaces are separable completely metrizable spaces
- $\mathbb{Q}$ is countably infinite
- The rationals embed densely in the reals
- 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
- Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable
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Sources
- Durrett, Probability: Theory and Examples, fifth edition (standard reference, not scraped)
- Norris, Probability and Measure (standard reference, not scraped)