k times x double dot equals xdot plus a Gaussian noise forcing term", which is the Langevin equation.
Either the name of this process or the word "red" is used to describe noise that has a "one over f squared" power spectral density. Some turbulent flows are found to be better modeled by a scale-free relative of this process called a Lévy flight. Objects that experience this phenomenon are described by the SDE "k times x double dot equals xdot plus a Gaussian noise forcing term", which is the Langevin equation. Since this stochastic phenomenon is a Wiener process, it is the infinitely-fine-lattice limit of a random walk. For 10 points, name this microscopic model that describes diffusion as the random motion of particles through a fluid, named for a botanist who observed pollen grains undergoing it.
Either the name of this process or the word "red" is used to describe noise that has a "one over f squared" power spectral density.
Brownian motion [or pedesis; prompt on "diffusion"; prompt on "random walk"; prompt on "Wiener (process)"]