Distribution Function


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distribution function

[‚dis·trə′byü·shən ‚fəŋk·shən]
(industrial engineering)

Distribution Function

 

a fundamental concept of statistical mechanics. In classical statistical mechanics the distribution function characterizes the probability density of the distribution of the particles of a statistical system in phase space—that is, with respect to the coordinates qi and momenta pi. In quantum statistical mechanics the distribution function characterizes the probability of a distribution over quantum-mechanical states.

In classical statistical mechanics the distribution function f(p, q, t) defines the probability dw = f(p, q, t) dpdq of finding a system of N particles at a time t in the volume element of phase space dpdq = dp1dq1 . . . dpNdqN around the point p1, q1, . . ., pN, qN. Since the transposition of identical particles does not change the state, the phase volume should be reduced by a factor of N!. Furthermore, it is convenient to convert to a dimensionless volume element of phase space by replacing dpdq with dpdq/N!h3N, where Planck’s constant h determines the minimum cell size in phase space. (See alsoGIBBS DISTRIBUTION.)

References in periodicals archive ?
There is the distribution function (14) of the exponential distribution.
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The conditional cumulative distribution function (CCDF) of outage ([F.sup.c.sub.out]) can be expressed as
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and to derive an evolution equation for the distribution function. This can be done by using the macroscopic balance of mass and the mesoscopic balance of mass.
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