One can define the integral of a complex-valued measurable function with respect to a complex measure in the same way as the Lebesgue integral of a real-valued measurablefunction with respect to a non-negative measure, by approximating a measurable function with simple functions. Just as in the case of ordinary integration, this more general integral might fail to exist, or its value might be infinite. Another approach is to not develop a theory of integration from scratch, but rather use the already available concept of integral of a real-valued function with respect to a non-negative measure. To that end, it is a quick check that the real and imaginary parts μ1 and μ2 of a complex measure μ are finite-valued signed measures. One can apply the Hahn-Jordan decomposition to these measures to split them as and where μ1+, μ1−, μ2+, μ2− are finite-valued non-negative measures. Then, for a measurable function f which is real-valuedfor the moment, one can define as long as the expression on the right-hand side is defined, that is, all four integrals exist and when adding them up one does not encounter the indeterminate ∞−∞. Given now a complex-valued measurable function, one can integrate its real and imaginary components separately as illustrated above and define, as expected,
For a complex measure μ, one defines its variation, or absolute value, |μ| by the formula where A is in Σ and the supremum runs over all sequences of disjoint sets n whose union is A. Taking only finite partitions of the set A into measurable subsets, one obtains an equivalent definition. It turns out that |μ| is a non-negative finite measure. In the same way as a complex number can be represented in a polar form, one has a polar decomposition for a complex measure: There exists a measurable function θ with real values such that meaning for any absolutely integrable measurable function f, i.e., f satisfying One can use the Radon–Nikodym theorem to prove that the variation is a measure and the existence of the polar decomposition.
The sum of two complex measures is a complex measure, as is the product of a complex measure by a complex number. That is to say, the set of all complex measures on a measure space forms a vector space over the complex numbers. Moreover, the total variation defined as is a norm, with respect to which the space of complex measures is a Banach space.