Brownian motion: Difference between revisions

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<gallery>
File:2d_random_walk_ag_adatom_ag111.gif|2D Random Walk of Ag Adatom on Ag(111)
File:Brownian_motion_large.gif|Brownian Motion Large
File:PerrinPlot2.svg|Perrin's Plot of Brownian Motion
File:Diffusion_of_Brownian_particles.svg|Diffusion of Brownian Particles
File:Brownian_motion_gamboge.jpg|Brownian Motion Gamboge
File:Brownian_Motion.ogv|Brownian Motion
File:2D_Random_Walk_400x400.ogv|2D Random Walk 400x400
File:Wiener_process_3d.png|Wiener Process 3D
File:BMonSphere.jpg|Brownian Motion on Sphere
</gallery>

Latest revision as of 11:25, 18 February 2025

Brownian motion is a phenomenon observed in the field of physics and mathematics, named after the botanist Robert Brown. It refers to the random motion of particles suspended in a fluid (a liquid or a gas) resulting from their collision with the fast-moving molecules in the fluid.

History[edit]

The phenomenon of Brownian motion was first observed by the botanist Robert Brown in 1827. Brown was studying pollen particles floating in water under a microscope when he noticed that the particles moved in a random, jittery manner. This movement was later named "Brownian motion" in his honor.

Explanation[edit]

Brownian motion can be explained by the kinetic theory of gases. According to this theory, the molecules of a gas are in constant, random motion, and their impact on small visible particles causes the latter to move in a similar random fashion. This is the underlying principle of Brownian motion.

Mathematical Description[edit]

The mathematical description of Brownian motion involves stochastic processes and differential equations. The motion of a particle undergoing Brownian motion can be modeled by a Wiener process, a continuous-time stochastic process that is widely used in finance and other fields.

Applications[edit]

Brownian motion has applications in various fields such as physics, chemistry, engineering, and finance. In physics and chemistry, it is used to explain the diffusion process. In finance, it is used in the Black-Scholes model for option pricing.

See Also[edit]

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