Almost sure convergence, also known as strong convergence, occurs when a sequence of random variables converges to a fixed value with probability 1. This means that it converges almost everywhere in the sample space and is the strongest form of convergence in probability theory. In other words, the probability that the sequence will converge to the fixed value is 1, or equivalently, the probability that it will not converge is 0.
