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Diffusion is a time-dependent process, constituted by random motion of given entities and causing the statistical distribution of these entities to spread in space.

The concept of diffusion emerged in the physical sciences. The paradigmatic examples were heat diffusion, molecular diffusion and Brownian motion. Their mathematical description was elaborated by Joseph Fourier in 1822, Adolf Fick in 1855 and by Albert Einstein in 1905, respectively.

Applications outside physics were pioneered by Louis Bachelier who in 1900 used a random walk model to describe price fluctuations on financial markets. In a less quantitative way, the concept of diffusion is invoked in the social sciences to describe the spread of ideas (Diffusion of innovations, Lexical diffusion, Trans-cultural diffusion).

[edit] Diffusion in physics

In molecular diffusion, They move at random because they frequently collide. Diffusion is the resulting net transport of molecules from a region of higher concentration to one of lower concentration. Brownian motion is observed in molecules that are so large that they are not driven by their own thermal energy but by collisions with solvent particles.

While Brownian motion of large molecular is observable under a microscope, small-molecule diffusion can only be probed in carefully controlled experimental conditions. Under normal conditions, molecular diffusion is relevant only on length scales between nanometer and millimeter. On larger length scales, transport in liquids and gases is normally due to another transport phenomenon, convection.

In contrast, heat conduction through solid media is an everyday occurence (e.g. a metal spoon partly immersed in a hot liquid). This explains why the mathematics of diffusion has first been discovered for the transport of heat, not of mass.

[edit] Other types of diffusion




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