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Density inversion from an integrable characteristic function

Statement

Assume AC. If φXL1(R), then the law μ of X has the bounded continuous probability density f(x)=12πReitxφX(t)dt. Thus μ(B)=Bf(x)dx for every Borel set B.

Facts & Assumptions

Given: The hypotheses and conventions in the statement.

[F1]

Inversion recovers interval mass plus half of each endpoint mass. Levy inversion formula.

[F2]

DCT gives continuity and the limit of truncated absolutely integrable expressions. Dominated convergence.

[F3]

Absolute Fubini exchanges the interval and frequency integrals. Fubini's theorem for L^1 functions on a sigma-finite product.

[F4]

A nonnegative measurable density defines a measure. The indefinite integral of a nonnegative measurable function is a measure.

[F5]

Equal finite masses on a generating pi-system and the whole space imply equality. Finite measures agreeing on a generating pi-system and on the whole space are equal.

[F6]

Measures converge on increasing exhaustions. Continuity from below for measures.

[F7]

Characteristic functions have conjugate symmetry. Basic properties of characteristic functions.

[F8]

AC is retained from the inversion theorem. The Axiom of Choice.

Proof

technique · direct
1.1

Put C=(2π)1φX<. The defining integral is absolutely convergent and f(x)C. For xnx, the integrands converge pointwise and are dominated by φX, so DCT gives f(xn)f(x). Under the assumed AC the sequential criterion proves continuity. Conjugating the integral and substituting s=t, conjugate symmetry yields f(x)=f(x); hence f is real.

F2F7F8
2.1

By F1 and absolute convergence, for every a<b μ((a,b))+12μ({a,b})=12πqa,b(t)φX(t)dt,qa,b(t)=abeitydy. Its modulus is at most C(ba). Taking a=x1/n,b=x+1/n, the point x lies in the open interval, so positivity and monotonicity give μ({x})μ((a,b))C(ba)=2C/n for every n, hence every singleton has mass zero. Also the double absolute integral of eityφX(t) on (a,b)×R is (ba)φX1, so Fubini gives μ((a,b))=abf(y)dy.

F1F2F3step 1.1
3.1

If f(x0)<0, continuity supplies an interval about x0 on which f<f(x0)/2<0, contradicting the nonnegative interval mass in step 2.1. Thus f0, and F4 defines a Borel measure ν(B)=Bf. Applying continuity from below to (n,n)R for both measures gives ν(R)=μ(R)=1. Bounded open intervals together with the empty set form a pi-system generating the Borel sets: their rational-endpoint subfamily is a countable base for the real topology. Step 2.1 and F5 therefore imply ν=μ. AC is inherited from F1 and covers the sequential continuity use in step 1.1.

step 1.1step 2.1F4F5F6F8

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