Weak convergence, in probability theory and functional analysis, refers to the convergence of probability measures on a given space to a limiting probability measure. This type of convergence is crucial for understanding the asymptotic behavior of sequences of random variables, particularly in the context of the Central Limit Theorem and other limit theorems.