Flory–Schulz distribution

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Flory–Schulz distribution
Parameters0 < a < 1 (real)
Supportk ∈ { 1, 2, 3, ... }
pmf
CDF
Mean
Median
Mode
Variance
Skewness
Ex. kurtosis
MGF
CF
PGF

The Flory–Schulz distribution is a probability distribution named after Paul Flory and G. V. Schulz that describes the relative ratios of polymers of different length that occur in an ideal step-growth polymerization process. The probability mass function (pmf) can take the form of:

In this equation, k is a variable characterizing the chain length (e.g. number average molecular weight, degree of polymerization), and a is an empirically determined constant related to the fraction of unreacted monomer remaining.[1]

The form of this distribution implies is that shorter polymers are favored over longer ones. Apart from polymerization processes, this distribution is also relevant to the Fischer–Tropsch process that is conceptually related, in that lighter hydrocarbons are converted to heavier hydrocarbons that are desirable as a liquid fuel.

The pmf of this distribution is a solution of the following equation:

References[edit]

  1. ^ IUPAC, Compendium of Chemical Terminology, 2nd ed. (the "Gold Book") (1997). Online corrected version:  (2006–) "most probable distribution".