In 1914, Dutch physicist Adriaan Fokker studied Brownian motion, and three years later Max Planck derived a general equation named after them. It is a central tool in the theory of stochastic processes. If the Boltzmann equation is about billions of colliding particles, the Fokker–Planck equation is about one particle under a hail of impacts. It describes how the probability of finding a particle in a given region smoothes out and shifts—like an ink drop spreading in flowing water. The left side is the change in probability, the right side is the sum of drift (flow) and diffusion (spreading). In financial mathematics, it is called the Black–Scholes equation, and it helps price options. The drop turns into a blurry cloud—predictably and inevitably.
History
In 1914, Adriaan Fokker derived a special case for rotational Brownian motion. In 1917, Max Planck generalized the equation in the work 'On the Theory of Fluctuation Phenomena'. Later, Andrey Kolmogorov in 1931 provided a rigorous mathematical justification. The equation infiltrated economics, biology, and quantum optics, becoming a universal language of random processes.
How it works
The probabilitydensity p(x,t) is drifted by a deterministic force (coefficient μ) and blurred by random jolts (coefficient D). Applied to analysis of diffusion processes, in radiophysics (shot noise), biophysics (ion channels), economics (option pricing models). Limitations: valid for memoryless Markov processes; for strong non-Gaussian noises, generalizations are needed (Kolmogorov–Feller equation).
In practice
Used for modeling noise in electronic circuits, stock price dynamics, and motion of microparticles in traps.
Fun fact
Max Planck used this equation to study fluctuations in quantum systems, laying the foundations of quantum stochastic dynamics.
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