 Theorems regarding stochastic processes

Theorems regarding stochastic processes are mathematical results that describe the behavior, properties, and characteristics of stochastic processes, which are systems that evolve over time with randomness. Here are some important theorems and concepts in the study of stochastic processes: 1. **Markov Property**: A stochastic process satisfies the Markov property if the future state of the process depends only on the present state and not on the past states.