Brownian Motion
Read OriginalThis article builds intuition for Brownian motion, a fundamental concept in probability and physics, by deriving its marginal distribution from a discrete-time random walk. It traces the historical discovery by Robert Brown, the theoretical breakthroughs by Einstein and Smoluchowski, and the mathematical formalization by Wiener. The content covers random processes, counterfactual reasoning, and the statistical behavior of particles, making it relevant to computer science algorithms, stochastic modeling, and data science applications.
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