Conditional Expectation Properties

This lecture covers the demonstrations of conditional expectation properties, focusing on proving the measurability of certain variables, the linearity of expectations, and the concept of conditional expectation as the best estimator. The instructor explains the independence of random variables, the importance of countable collections in probability, and the definition of conditional expectation. Through various mathematical demonstrations, the lecture emphasizes the key properties and relationships between conditional expectations and random variables.