Stochastic Process

A stochastic process is a collection of random variables that evolve over time or space, representing systems that have unpredictable elements. Think of it as a way to model situations where future behavior depends on chance, like stock market fluctuations, weather patterns, or particle movements. Each outcome isn't fixed but follows certain probabilities, allowing us to analyze and predict patterns despite inherent randomness. Essentially, a stochastic process helps us understand and manage systems that are influenced by uncertainty, providing a mathematical framework for modeling and analyzing complex, real-world phenomena.