Why can't we use the power set as the sigma-algebra for a continuous uniform distribution?

Finite unions are not enough because many natural events in probability involve infinitely many outcomes. A sigma-algebra must be closed under countable unions to ensure that events formed by collecting infinitely many individual outcomes remain measurable.

Conditions: The sample space may be countably infinite.; Events of interest may require combining infinitely many outcomes.

A sigma-algebra is closed under countable intersections because any countable intersection can be rewritten in terms of complements and countable unions using De Morgan's law. Since a sigma-algebra is already closed under complements and countable unions, it must also be closed under countable intersections.

Conditions: Each $A_k \in \mathcal{F}$.; $\mathcal{F}$ is closed under complements and countable unions.

The Borel sigma-algebra on an interval $I \subseteq \mathbb{R}$ is defined as the smallest sigma-algebra that contains all open intervals $(a,b)$ contained in $I$. It is denoted as $\mathcal{B}(I)$.

Conditions: $I$ is an interval on the real line $\mathbb{R}$.; The generating sets are open intervals $(a,b) \subseteq I$.

Requiring the event collection $\mathcal{F}$ to be a sigma-algebra ensures that applying the usual set operations—such as taking complements and countable unions—never produces a set outside of $\mathcal{F}$. This guarantees that if we can measure certain events, we can also measure logically related events like their negations or combinations.

Conditions: $\mathcal{F}$ is intended to be the collection of measurable sets/events in a probability space.

When the sample space $\Omega$ is finite or countable, a suitable sigma-algebra should typically contain all singletons, meaning sets of the form $\{x\}$ for every $x \in \Omega$. This allows probabilities to be assigned to all individual outcomes.

Conditions: $\Omega$ is finite or countable.; The goal is to assign probabilities to individual outcomes.