We construct the density and singular part, rather than assuming the desired Lebesgue decomposition theorem. Put , a finite dominating measure, and use the real Hilbert space . The linear functional
is well defined on its equivalence classes, since a -null set is -null. The Cauchy-Schwarz inequality and give
By the Riesz representation theorem, there is with . Indicators of all measurable sets belong to this Hilbert space, so
The nonnegativity of these two measures forces almost everywhere. For instance, if , its -measure would be negative; the analogous sets contradict positivity of . Their countable union excludes every violation. Modify on its measurable -null exceptional set so that these inequalities hold everywhere. This is the Hilbert-space construction of dominated measure densities.
Define
Then , is a nonnegative measurable function, and . The identity for integration against follows first for indicators, then for nonnegative simple functions and finally for all nonnegative functions by the monotone convergence theorem. Applying it to gives
In particular , so . Additivity on the disjoint measurable sets and now gives
This is the Lebesgue decomposition from a sum-measure density: the first measure has a density, and the second is concentrated on a -null set, so is mutually singular with .
The absolute continuity of measures condition means that implies for every . If this holds, then , eliminating the singular part above. Conversely, a measure of the form vanishes on every -null set. Therefore
Thus absolute continuity is exactly the absence of the singular part in this construction.

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