Relative constraints and evolution

Juan G. Diaz Ochoa ()
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Juan G. Diaz Ochoa: Pelargusstr. 2, 70180 Stuttgart, Germany

International Journal of Modern Physics C (IJMPC), 2014, vol. 25, issue 08, 1-10

Abstract: Several mathematical models of evolving systems assume that changes in the micro-states are constrained to the search of an optimal value in a local or global objective function. However, the concept of evolution requires a continuous change in the environment and species, making difficult the definition of absolute optimal values in objective functions. In this paper, we define constraints that are not absolute but relative to local micro-states, introducing a rupture in the invariance of the phase space of the system. This conceptual basis is useful to define alternative mathematical models for biological (or in general complex) evolving systems. We illustrate this concept with a modified Ising model, which can be useful to understand and model problems like the somatic evolution of cancer.

Keywords: Evolution complex systems; optimization; objective functions; relative optimal values; entropy; complex adaptive evolving systems; 05.65.+b; 05.70.Ln; 87.23.Kg; 02.30.Yy; 02.70.Uu; 05.10.Ln (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1142/S0129183114500302

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