Modeling Stochastic Processes with Trees

In this paper, we show a deep connection between a new method to create randomly generated trees and stochastic calculus. Using computer simulations to generate matrices we are able to relate their height and width to the drift and diffusion of the classic stochastic differential equation. This approach lets us relate randomization to geometry, and simplify numerical approaches for differential equations containing stochastic variables.