Season 2 • Episode: Rampage

NUMB3RS - Season 2 - "Rampage" - I...It...Itera...Iteration

TI PDF Guide
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Modeling Brownian Motion

Brownian motion can be modeled in two dimensions using a sequence of random steps. Let's start at the origin (0,0)(0,0). At each step nn, we generate a random vertical change (Δy\Delta y) and a random horizontal change (Δx\Delta x) using a standard normal distribution where the mean is μ=0\mu = 0 and the standard deviation is σ=1\sigma = 1.

The formulas to update our coordinates are: xn+1=xn+Δxx_{n+1} = x_n + \Delta x yn+1=yn+Δyy_{n+1} = y_n + \Delta y

Because the mean step size is 00, the path has equal probability of going in any direction, resulting in an unpredictable, wandering path called a random walk.

Live Brownian & Chaos Sandbox

Switch modes to compare completely unstructured random walks (standard normal updates) vs deterministic fractals.

Path Steps Count:250
Standard Normal updates generate unpredictable, unorganized walks.

Special Agent BakerBot

Socratic Physics & Iteration Partner

BAKERBOT

Hello! I'm Special Agent Don Eppes' partner, BakerBot. Ask me anything about stochastic iteration or chaos theory.

BakerBot uses the standard FBI bullpen model & Brownian walk parameters for active guidance.