Quantification of relationship between cause and effect

Quantification of relationship between cause and effect 14.4.1. Linear steady state 

From the angle of predictability, formulation of quantitative relationship is the primary task. At this stage, formalism developed in non-equilibrium. Thermodynamics can serve as a good guide. If cause (forces) and (fluxes) effects can be identified, linear relations can be postulated in the following form for two coupled processes  

In Social Dynamics and Finance and even in the case of living systems, steady states can easily be perturbed by random variables or by appearance of new variables. Whereas in physico-chemical systems, the correlation coefficients can be experimentally determined or estimated theoretically this is not possible in the case of other systems. Only some guess can be made from satisfied data. 

Steady-state adjustment after disturbance is quite important in social sciences. Disturbances of even minor magnitude in temperature, climate and social tension can easily shift the system to a new steady state. However, disturbance of major magnitude may take a longer route involving complex mechanism to reach a new steady state. 

For self-adjustment during health recovery, understanding of temporal approach to steady state can be highly beneficial. 

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See also in sourсe #XX -- [ ]

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