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  2. Brownian motion - Wikipedia

    en.wikipedia.org/wiki/Brownian_motion

    X is a Brownian motion with respect to P, i.e., the law of X with respect to P is the same as the law of an n-dimensional Brownian motion, i.e., the push-forward measure X ∗ (P) is classical Wiener measure on C 0 ([0, ∞); R n). both X is a martingale with respect to P (and its own natural filtration); and

  3. Wiener process - Wikipedia

    en.wikipedia.org/wiki/Wiener_process

    In physics it is used to study Brownian motion and other types of diffusion via the Fokker–Planck and Langevin equations. It also forms the basis for the rigorous path integral formulation of quantum mechanics (by the Feynman–Kac formula , a solution to the Schrödinger equation can be represented in terms of the Wiener process) and the ...

  4. Brownian motor - Wikipedia

    en.wikipedia.org/wiki/Brownian_motor

    The term "Brownian motor" was originally invented by Swiss theoretical physicist Peter Hänggi in 1995. [3] The Brownian motor, like the phenomenon of Brownian motion that underpinned its underlying theory, was also named after 19th century Scottish botanist Robert Brown, who, while looking through a microscope at pollen of the plant Clarkia pulchella immersed in water, famously described the ...

  5. Markov property - Wikipedia

    en.wikipedia.org/wiki/Markov_property

    Two famous classes of Markov process are the Markov chain and Brownian motion. Note that there is a subtle, often overlooked and very important point that is often missed in the plain English statement of the definition: the statespace of the process is constant through time. The conditional description involves a fixed "bandwidth".

  6. Geometric Brownian motion - Wikipedia

    en.wikipedia.org/wiki/Geometric_Brownian_motion

    For the simulation generating the realizations, see below. A geometric Brownian motion (GBM) (also known as exponential Brownian motion) is a continuous-time stochastic process in which the logarithm of the randomly varying quantity follows a Brownian motion (also called a Wiener process) with drift. [1]

  7. Diffusion equation - Wikipedia

    en.wikipedia.org/wiki/Diffusion_equation

    The diffusion equation is a parabolic partial differential equation.In physics, it describes the macroscopic behavior of many micro-particles in Brownian motion, resulting from the random movements and collisions of the particles (see Fick's laws of diffusion).

  8. Langevin equation - Wikipedia

    en.wikipedia.org/wiki/Langevin_equation

    The equation for Brownian motion above is a special case. An essential step in the derivation is the division of the degrees of freedom into the categories slow and fast. For example, local thermodynamic equilibrium in a liquid is reached within a few collision times, but it takes much longer for densities of conserved quantities like mass and ...

  9. Brownian dynamics - Wikipedia

    en.wikipedia.org/wiki/Brownian_dynamics

    In physics, Brownian dynamics is a mathematical approach for describing the dynamics of molecular systems in the diffusive regime.It is a simplified version of Langevin dynamics and corresponds to the limit where no average acceleration takes place.