Integration using a cumulative distribution function

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SUMMARY

The discussion centers on proving the equality between the integral of a nonnegative Borel function and a measure defined by a real-valued measurable function on a measure space. Specifically, it establishes that for a measurable function f, the equation ∫₀^{∞} φ(|f(x)|) dμ = -∫₀^{∞} φ(t) dλ_f(t) holds true, where λ_f(t) = μ{ x : |f(x)| > t }. The hint provided suggests utilizing the measure ν((a,b]) = λ_f(b) - λ_f(a) to demonstrate that it extends uniquely to a Borel measure, leveraging the properties of closed intervals as a semi-ring.

PREREQUISITES
  • Understanding of measure theory, specifically Borel measures.
  • Familiarity with Lebesgue integrals and their definitions.
  • Knowledge of real-valued measurable functions and their properties.
  • Basic concepts of semi-rings and premeasures in measure theory.
NEXT STEPS
  • Study the properties of Borel measures and their applications in integration.
  • Learn about Lebesgue integration techniques, focusing on the definition and properties of Lebesgue integrals.
  • Explore the construction of measures from premeasures, particularly in the context of semi-rings.
  • Investigate the implications of cumulative distribution functions in probability theory and measure theory.
USEFUL FOR

Mathematicians, students of measure theory, and anyone interested in advanced integration techniques and the properties of Borel functions.

laonious
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Hi all,
I'm really banging my head on this problem:
Let f be a real-valued measurable function on the measure space [tex](X,\mathcal{M},\mu).[/tex]
Define
[tex]\lambda_f(t)=\mu\{x:|f(x)|>t\}, t>0.[/tex]
Show that if [itex]\phi[/itex] is a nonnegative Borel function defined on [0,infinity), then
[tex]\int_0^{\infty}\phi(|f(x)|)d\mu=-\int_0^{\infty}\phi(t)d\lambda_f(t).[/tex]

A hint is given, which is to look at
[tex]\nu((a,b])=\lambda_f(b)-\lambda_f(a)=-\mu\{x:a<|f(x)|\leq b\},[/tex]
and argue that it extends uniquely to a Borel measure.

This is straightforward, I think, as closed intervals form a semi-ring and [itex]\nu[/itex] is a premeasure. I'm just not sure where to go from here. Any help would be greatly appreciated, thanks!
 
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It looks like it could be solved by using the elementary approach to defining Lebesgue integrals - dividing the y (or f) axis into strips and taking a limit as the strip widths go to 0.

The strips would correspond to (a,b] in the hint.
 

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