Brownian motion

Brownian motion is the random motion of particles suspended in a medium (a liquid or a gas). The motion is caused by fast-moving atoms or molecules that hit the particles. Brownian Motion was discovered in 1827 by the botanist Robert Brown. In 1827, while looking through a microscope at particles trapped in cavities inside pollen grains in water, he noted that the particles moved through the water; but he was not able to find out what was causing this motion.

Atoms and molecules had long been theorised as the main parts of matter. Albert Einstein published a paper in 1905 that explained in precise detail how the motion that Brown had observed was a result of the pollen being moved by individual water molecules. This was one of his first big contributions to science, and convinced many scientists that atoms and molecules exist. It was further verified experimentally by Jean Perrin in 1908. The direction of the force of atomic bombardment is constantly changing, and at different times the particle is hit more on one side than another, leading to the seemingly random nature of the motion.

There are too many molecular impacts making the Brownian pattern, so no scientific model can account for all of them. That is why only probabilistic models of molecular populations can be used to describe it. Two such models of the statistical mechanics were made by Einstein and Smoluchowski. Another, pure probabilistic kind of models are stochastic process models. There exist both simpler and more complicated stochastic processes which in extreme ("taken to the limit") may describe the Brownian Motion (see random walk and Donsker's theorem).

Norbert Wiener also studied Brownian Movement, with greater mathematical precision.

History

The Roman Lucretius's scientific poem "On the Nature of Things" (c. 60 BC) has a description of Brownian motion of dust particles in verses 113–140 from Book II. He uses this to help people know for sure of the existence of atoms:

From the book of Jean Baptiste Perrin, Les Atomes, three tracings of the motion of particles of line 0.53 µm, as seen under the microscope, are displayed. Successive positions every 30 seconds are joined by straight lines (the mesh size is 3.2 µm).^[1]

"Observe what happens when sunlight is let into a building and small building light on its shadowy places. You will see an amount of tiny particles moving in an amount of ways..."

While Jan Ingenhousz described the strange motion of coal dust particles on the top of alcohol in 1785, the discovery of this is often given to the botanist Robert Brown in 1827. Brown was studying pollen grains of the plant Clarkia pulchella suspended in water under a microscope when he observed minute particles, ejected by the pollen grains, executing a jittery motion. By repeating the experiment with particles of inorganic matter he was able to rule out that the motion was life-related, although its origin was not known yet.

The first person to describe the mathematics behind Brownian motion was Thorvald N. Thiele in a paper on the method of least squares published in 1880. This was followed by Louis Bachelier in 1900 in his PhD thesis "The Theory of Speculation", in which he presented an analysis of the stock and option markets. The Brownian motion model of the stock market is often used, but Benoit Mandelbrot denied its applicability to stock price movements.^[2]

Albert Einstein (in one of his 1905 papers) and Marian Smoluchowski (1906) brought the solution of the problem to the attention of physicists, and presented it as a way to indirectly confirm the existence of atoms and molecules. Their equations describing Brownian motion were checked by the experimental work of Jean Baptiste Perrin in 1908. Perrin was awarded the Nobel Prize in Physics in 1926 "for his work on the discontinuous structure of matter".

Brownian Motion Media

2-dimensional random walk of a silver adatom on an Ag(111) surface
Simulation of the Brownian motion of a large particle, analogous to a dust particle, that collides with a large set of smaller particles, analogous to molecules of a gas, which move with different velocities in different random directions.
The characteristic bell-shaped curves of the diffusion of Brownian particles. The distribution begins as a Dirac delta function, indicating that all the particles are located at the origin at time t = 0. As t increases, the distribution flattens (though remains bell-shaped), and ultimately becomes uniform in the limit that time goes to infinity.
The equilibrium distribution for particles of gamboge shows the tendency for granules to move to regions of lower concentration when affected by gravity.
Brownian motion model of the trajectory of a particle of dye in water.
An animated example of a Brownian motion-like random walk on a torus. In the scaling limit, random walk approaches the Wiener process according to Donsker's theorem.
A single realisation of three-dimensional Brownian motion for times 0 ≤ t ≤ 2
Brownian motion on a sphere