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A generalized stochastic model for systems of first-order reactions—probability generating function approach

✍ Scribed by Chieh Chu

Publisher
Elsevier Science
Year
1971
Tongue
English
Weight
323 KB
Volume
26
Category
Article
ISSN
0009-2509

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✦ Synopsis

A generalized stochastic model has been developed for systems of n-component first-order reactions by means of the probability generating function approach. A comparison of the stochastic model with the deterministic model is given.

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Multi-component systems with interaction are widespread in all the natural sciences and beyond. In this paper, we discuss a general two-stage procedure for modelling these systems. The procedure is based on first identifying the main influences on incremental system evolution in some phase space and