Kolmogorov-Arnold representation theorem

The Kolmogorov-Arnold representation theorem is a mathematical result stating that any continuous function of multiple variables can be built by combining simpler functions of just one variable, much like how complex recipes can be made from basic ingredients. This theorem is significant in science because it shows that seemingly complex relationships in nature can always be broken down into more manageable pieces, which has implications for understanding everything from neural networks to how we model physical systems. In practical terms, it suggests that no matter how intricate a system appears, there's always a way to represent it using simpler building blocks.