2009/03/02 by Arnab Ray, Arnab K. Ray, Ray, Arnab K.
Economics, Econometrics and Finance · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Complex Systems and Time Series Analysis #Economic theories and models #FOS: Economics and business #General Finance (q-fin.GN) #Statistical Finance (q-fin.ST) #q-fin.GN #q-fin.ST
paper · pdf · doi:10.48550/arxiv.0903.0282
ReVTeX, 5 pages, 5 figures
arxiv created 2009/03/02 · openalex publication_date 2009/03/02 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A general nonlinear logistic equation has been proposed to model long-time saturation in industrial growth. An integral solution of this equation has been derived for any arbitrary degree of nonlinearity. A time scale for the onset of nonlinear saturation in industrial growth can be estimated from an equipartition condition between nonlinearity and purely exponential growth. Precise predictions can be made about the limiting values of the annual revenue and the human resource content that an industrial organisation may attain. These variables have also been modelled to set up an autonomous first-order dynamical system, whose equilibrium condition forms a stable node (an attractor state) in a related phase portrait. The theoretical model has received close support from all relevant data pertaining to the well-known global company, IBM.