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• W2602060439 abstract "In this paper, we aim to establish the specific foundations in modeling the physical phenomena. For this purpose, we discuss a representation of information theory for the optimal design of the model. We introduce a metric called comparative uncertainty by which a priori discrepancy between the chosen model and the observed material object is verified. Moreover, we show that the information quantity inherent in the model can be calculated and how it proscribes the required number of variables which should be taken into account. It is thus concluded that in most physically relevant cases (micro- and macro-physics), the comparative uncertainty can be realized by field tests or computer simulations within the prearranged variation of the main recorded variable. The fundamentally novel concept of the introduced uncertainty can be widely used and is universally valid. We introduce examples of the proposed approach as applied to Heisenberg's uncertainty relation, heat and mass transfer equations, and measurements of the fine structure constant." @default.
• W2602060439 created "2017-04-07" @default.
• W2602060439 creator A5051790498 @default.
• W2602060439 date "2017-01-01" @default.
• W2602060439 modified "2023-09-23" @default.
• W2602060439 title "Information Measure Approach for Calculating Model Uncertainty of Physical Phenomena" @default.
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