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Theoretical Mirce Mechanics The role of any scientific theory is to describe the observed physical phenomena. Concepts, laws, formulas, definitions etc. taken together, constitute an exact science. Any established science is consistent, which means that each concept within the framework of this science can only be employed in a strictly defined sense. Causality in science requires a law to define the sequence of events in time. Each group of understood physical phenomena is ruled by a set of laws of its own (thermodynamics, electronics, metallurgy etc.). For example, in classical mechanics, Newton’s equations of motion enable the prediction of the trajectory of a particle’s motion to be made. Mathematically, this law takes the form of a differential equation. These schemes of explanation leave no room for doubt or misunderstanding. Hence, the causality of classical physics came to be known as determinism. As the laws of science are independent of time and the location in the universe, all identical individual systems, under identical conditions, deliver identical functionality. However, Experimental Mirce Mechanics has shown that such deterministic regularity cannot be found in respect to functionability. What can be found is a statistical regularity where the motion of functionability through the life of individual systems, under given circumstances, deliver different trajectories in time. Therefore, the proven laws of science used as the theoretical foundation for predicting the behaviour of systems as far as functionality is concerned cannot be used for predicting the behaviour of a system as far as the motion of functionability over time is concerned Hence, the need for the science-based framework and laws that could be used to calculate the sequence of functionability events through the life of a system cause the creation of the Theoretical Mirce Mechanics, TMM, the science of the motion of functionability through the life of a system. Its main objective is to mathematically describe the experimentally observed motion of the functionability phenomena through the life of a system under given circumstances. Such descriptions form the laws of motion of functionability and enable predictions of the trajectory to be made for a given system under given conditions. The only way to theoretically predict the motion of functionability through the life of a system, that manifested individual variability, is to apply the concept of probability that offers a mechanism for describing the statistical nature of observed physical reality (Experimental Mirce Mechanics). This enables calculation of the probability that the transition between two states will take place at a given instant of time, or that a certain percentage of functionability events will or will not happen by a specific instant of time or during a given interval, or any other measure of functionability performance. It is necessary to stress that the laws of probability are just as rigorous as other mathematical laws. They do have certain unusual features and clearly delineated domain of application. For example, it can be readily verify that in the case of a large number of systems a functionability phenomena will occur in a specific number of the cases, and the law is more accurate the more systems are observed. Nevertheless, this accurate knowledge does not even attempt to predict the motion of functionability through the life of the specific individual system. This is what distinguishes probabilistic laws from deterministic laws. The reason for that is the fact most probabilistic events are results of quite complicated “physical” processes, which in many cases cannot be studied or understood in all of its complexity. Consequently, such inability takes its toll, as it is only possible to predict with certainty:
Consequently, the motion of functionability through the life of a single system follows the laws of probability, but probability itself is shaped by the laws of causality. |