Is there an analogue of Lebesgue’s Dominated Convergence Theorem for a net $ (f_{\alpha})_{\alpha \in A} $ of measurable functions defined on a measure space $ (\Omega,\Sigma,\mu) $, where the index set $ A $ (assumed to be directed) is not necessarily $ \mathbb{N} $? That is, if
- $ (f_{\alpha})_{\alpha \in A} $ converges pointwise almost everywhere to a measurable $ f $,
- there exists a measurable $ g $ such that $ |f_{\alpha}| \leq |g| $ almost everywhere for each $ \alpha \in A $, and
- $ \displaystyle \int_{\Omega} |g| ~ \mathrm{d}{\mu} \leq \infty $,
then does $ \displaystyle \lim_{\alpha \in A} \int_{\Omega} f_{\alpha} ~ \mathrm{d}{\mu} = \int_{\Omega} f ~ \mathrm{d}{\mu} $?
Here is an interesting case study involving a directed and well-ordered index set.
Assume that the Continuum Hypothesis holds, i.e., $ 2^{\aleph_{0}} = \aleph_{1} $. As the cardinality of the closed interval $ [0,1] $ is $ 2^{\aleph_{0}} $, we can find a bijection $ \phi: \omega_{1} \to [0,1] $. Define a net $ (f_{\alpha}: [0,1] \to [0,1])_{\alpha < \omega_{1}} $ of Lebesgue-measurable functions by $$ \forall \alpha < \omega_{1}, ~ \forall x \in [0,1]: \quad {f_{\alpha}}(x) \stackrel{\text{def}}{=} \begin{cases} 1 & \text{if $ x = \phi(\beta) $ for some $ \beta \leq_{\mathbf{On}} \alpha $}; \\ 0 & \text{elsewhere}. \end{cases} $$ Consider an ordinal $ \alpha < \omega_{1} $. As $ \alpha $ is countable, it follows that $ f_{\alpha} $ assumes the value $ 1 $ for at most countably many arguments and the value $ 0 $ everywhere else. Hence, $ f_{\alpha} $ is Lebesgue measurable and is zero almost everywhere. We thus have $$ \forall \alpha < \omega_{1}: \quad \int_{[0,1]} f_{\alpha} ~ \mathrm{d}{\mu} = 0. $$ However, we have $ \displaystyle \lim_{\alpha \to \omega_{1}} f_{\alpha} = 1_{[0,1]} $, which yields \begin{align} \lim_{\alpha \to \omega_{1}} \int_{[0,1]} f_{\alpha} ~ \mathrm{d}{\mu} & = \lim_{\alpha \to \omega_{1}} 0 \\ & = 0 \\ & \neq 1 \\ & = \int_{[0,1]} 1_{[0,1]} ~ \mathrm{d}{\mu} \\ & = \int_{[0,1]} \left( \lim_{\alpha \to \omega_{1}} f_{\alpha} \right) \mathrm{d}{\mu}. \end{align}