Diffusion of innovations dynamics, biological growth and catenary function. Static and dynamic equilibria

The catenary function has a well-known role in determining the shape of chains and cables supported at their ends under the force of gravity. This enables design using a specific static equilibrium over space. Its reflected version, the catenary arch, allows the construction of bridges and arches exploiting the dual equilibrium property under uniform compression. In this paper, we emphasize a further connection with well-known aggregate biological growth models over time and the related diffusion of innovation key paradigms (e.g., logistic and Bass distributions over time) that determine selfsustaining evolutionary growth dynamics in naturalistic and socio-economic contexts. Moreover, we prove that the ‘local entropy function’, related to a logistic distribution, is a catenary and vice versa. This special invariance may be explained, at a deeper level, through the Verlinde’s conjecture on the origin of gravity as an effect of the entropic force.

[1]  Mark S. Granovetter Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[2]  T. Padmanabhan,et al.  Thermodynamical aspects of gravity: new insights , 2010 .

[3]  Mariangela Guidolin,et al.  Market potential dynamics in innovation diffusion: Modelling the synergy between two driving forces , 2011 .

[4]  P. Verhulst Notice sur la loi que la population pursuit dans son accroissement , 1838 .

[5]  Stephen W. Hawking,et al.  Particle Creation by Black Holes , 1993, Resonance.

[6]  Dipak C. Jain,et al.  Why the Bass Model Fits without Decision Variables , 1994 .

[7]  Mariangela Guidolin,et al.  Cellular Automata with network incubation in information technology diffusion , 2010 .

[8]  J. Bekenstein Information in the holographic universe. , 2003 .

[9]  E. Verlinde,et al.  On the origin of gravity and the laws of Newton , 2010, 1001.0785.

[10]  E. Rogers Diffusion of Innovations , 1962 .

[11]  Alex Pentland,et al.  To Signal Is Human , 2010 .

[12]  Mariangela Guidolin,et al.  Modelling a dynamic market potential: A class of automata networks for diffusion of innovations , 2009 .

[13]  Mariangela Guidolin,et al.  Cellular automata and Riccati equation models for diffusion of innovations , 2008, Stat. Methods Appl..

[14]  J. Bekenstein Black Holes and Entropy , 1973, Jacob Bekenstein.

[15]  J. Bekenstein Universal upper bound on the entropy-to-energy ratio for bounded systems , 1981, Jacob Bekenstein.

[16]  Luca Mazzucato,et al.  The Konishi multiplet at strong coupling , 2011, 1102.1219.

[17]  F. Bass A new product growth model for consumer durables , 1976 .