Kolmogorov's Theorem

Kolmogorov's Theorem, in the context of probability theory, states that any random process can be represented using a set of simple, underlying rules. Essentially, it shows that you can describe complex random phenomena, like weather changes or stock market fluctuations, using a structured mathematical framework. This means that even seemingly chaotic events have a form of order and can be analyzed and predicted to some extent, allowing researchers and statisticians to understand and manage uncertainty in various fields, from finance to science.