:''This article describes the ''distribution function'' as used in physics. You may be looking for the related mathematical concepts of
probability density function or
cumulative distribution function.''
In molecular
kinetic theory in
physics, a particle's 'distribution function' is a function of seven variables,
, which gives the number of particles per unit volume in
phase space. It is the number of particles having approximately the
velocity near the place
and time
. The usual normalization of the distribution function is
:
:
Here, N is the total number of particles and ''n'' is the number density of particles - the number of particles per unit volume, or the
density divided by the mass of individual particles.
Particle distribution functions are often used in
plasma physics to describe wave-particle interactions and velocity-space instabilities. Distribution functions are also used in
fluid mechanics and
statistical mechanics.
The
basic distribution function uses the
Boltzmann constant and temperature
with the number density to modify the
normal distribution:
:
Related distribution functions may allow bulk fluid flow, in which case the velocity origin is shifted, so that the
exponent's
numerator is
;
is the bulk velocity of the fluid. Distribution functions may also feature non-isotropic temperatures, in which each term in the exponent is divided by a different temperature.
Plasma theories such as
magnetohydrodynamics may assume the particles to be in
thermodynamic equilibrium. In this case, the distribution function is ''
Maxwellian''. This distribution function allows fluid flow and different temperatures in the directions parallel to, and perpendicular to, the local magnetic field. More complex distribution functions may also be used since
plasmas are rarely in thermal equilibrium.
The mathematical analog of a distribution is a
measure; the time evolution of a measure on a phase space is the topic is study in
dynamical systems.