The monotone convergence theorem states: on a measure space , let be measurable functions with
Then is measurable and
The integrals and their limit may be infinite. No integrable dominator, finite measure hypothesis, or sigma-finiteness is required. The nonnegativity and increasing order are the essential hypotheses in this form of the theorem.
Let . These are nonnegative measurable functions increasing to the extended-valued function . The monotone convergence theorem gives
Therefore is finite almost everywhere: if on a measurable set of positive Lebesgue measure, its integral would exceed every finite bound. Hence the series converges absolutely outside the null set . This is summable L1 norms imply almost-everywhere absolute convergence.
Define off and set on . The function is Lebesgue measurable, being the pointwise limit of measurable partial sums off a measurable null set. Since almost everywhere,
so the sum is Lebesgue integrable.
For , the absolute tail satisfies
Apply the monotone convergence theorem to the nonnegative tail partial sums. We obtain
Thus the partial sums converge in L1 norm. The triangle inequality for an integral yields
Consequently
The scalar series on the right also converges absolutely, since . This proves integration of a series with summable L1 norms without needing pointwise convergence on the exceptional null set.
The function is continuous for , hence Lebesgue measurable. On , and give
Since , is Lebesgue integrable on by power singularity integrability.
On , the first summand is Lebesgue integrable:
The second summand is not. To prove it, take the pairwise disjoint intervals
On , , the length is , and . Hence
The p-series with exponent diverges, so .
If were Lebesgue integrable on this tail, subtracting its integrable first summand would make integrable as well, a contradiction. Therefore
This uses the general fact that an integrable perturbation cannot repair nonintegrability. The conclusion concerns absolute integrability; oscillatory cancellation in an improper integral is a separate issue.

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