Alphabeta Math
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Density inversion for a triangular characteristic function

Example

Assume AC. The triangular function τ(t)=(1t)+ is the characteristic function of the probability density f(x)=1cosxπx2(x0),f(0)=12π. This value makes f continuous at zero.

Facts & Assumptions

Given: The hypotheses and conventions in the example.

[F1]

The characteristic function integrates the exponential componentwise. Characteristic function of a real random variable.

[F2]

Inversion of an already known integrable characteristic function gives a continuous density. Density inversion from an integrable characteristic function.

[F3]
[F6]

AC covers the bridge and density inversion. The Axiom of Choice.

[F7]

The sine and cosine derivatives give their real primitives. The derivatives of sine and cosine are cosine and minus sine.

[F9]

Nonnegative tests against a density integrate the product. Integrating against a density agrees with integrating the product.

[F10]

Characteristic functions are continuous, bounded by one and normalized at zero. Basic properties of characteristic functions.

[F11]

Nonnegative expanding compact truncations recover their full integral. Monotone convergence for the integral.

Verification

technique · direct
1.1

First use h(u)=(1u)+ as a density in the space variable u. It is nonnegative Borel and h=201(1u)du=1, so it defines a probability. Its characteristic function q has vanishing imaginary part by the oddness of h(u)sin(su). For s0, integration by parts with 1u and sin(su)/s yields q(s)=201(1u)cos(su)du=2s01sin(su)du=2(1coss)s2. All factors and derivatives are continuous on [0,1], so FTC and the bridge apply. Density integration is applied to the real and imaginary positive/negative parts. At s=0, q(0)=1, and continuity follows from the characteristic-function lemma. Thus q is nonnegative everywhere and bounded by one, with q(s)4/s2 for s1. The primitive 1/s on [1,R], the bridge and monotone convergence give 1s2ds=1; reflection gives the other tail. Hence q is integrable.

F1F3F4F5F7F8F9F10F11
2.1

Apply density inversion to that probability with characteristic function q. It supplies the continuous density H(y)=(2π)1eisyq(s)ds. This equals h everywhere: if the two continuous densities differed at y, continuity would give a small interval where their difference had one strict sign, contradicting that both densities integrate to the same interval mass. In particular 1=h(0)=H(0)=(2π)1q. Therefore f=q/(2π) is nonnegative and integrates to one, so defines a probability. It has exactly the displayed formula and the continuous value 1/(2π) at zero.

step 1.1F2F3
3.1

Density integration and the identity in step 2.1 now give φf(t)=12πeitxq(x)dx=H(t)=h(t)=(1t)+. This includes t=0 and both endpoints t=±1, where the value is zero; outside the closed interval it is zero as well. The density value at x=0 was fixed by continuity, not division by zero. AC is inherited from the compact bridge and density inversion. The argument applied inversion only to the known law h before establishing that the triangle is a characteristic function.

step 2.1F1F6F9

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