Limit theorems, such as the Central Limit Theorem and the Law of Large Numbers, are foundational principles in probability theory that describe the behavior of sequences of random variables as the number of variables grows. These theorems provide the basis for making inferences about population parameters from sample data, underpinning much of statistical theory and practice.