From Simple Diffusion to Gaussian Emergence and Levy Flights
A walker on a number line takes random steps left or right. Over time:
With bias (drift), the walker has a preferred direction, modeling phenomena like diffusion with an external force.
The walker moves on a 2D plane, taking random steps in any direction. This models:
The trail shows the walker's path. Mean squared displacement (MSD) grows linearly with time: MSD â t
Starting from a single point, 200 walkers spread out. Watch the distribution evolve:
The histogram shows the spatial distribution converging to a bell curve. This is how heat spreads!
Unlike Brownian motion, Levy flights have occasional large jumps following a power-law distribution:
Small steps are common, but rare large jumps dramatically change the walker's position. This is an optimal search strategy!