Integration using a cumulative distribution function

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 (X,\mathcal{M},\mu).
Define
\lambda_f(t)=\mu\{x:|f(x)|>t\}, t>0.
Show that if \phi is a nonnegative Borel function defined on [0,infinity), then
\int_0^{\infty}\phi(|f(x)|)d\mu=-\int_0^{\infty}\phi(t)d\lambda_f(t).

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

This is straightforward, I think, as closed intervals form a semi-ring and \nu 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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