arXiv subjects
Publications and source records attributed to G. A. Quznetsov.
The basic concepts, principles and statements of the electroweak and the quark-gluon theories and the theory of gravitation are deduced from properties of the point-like events probabilities.Higgs, strings, Dark Energy and Dark Matter are not required.
The propositional logic is generalized on the real numbers field. The logical analog of the Bernoulli independent tests scheme is constructed. The variant of the nonstandard analysis is adopted for the definition of the logical function, which has all properties of the classical probability function. The logical analog of the Large Number Law is deduced from properties of this function.
This is the logical foundation for for Relativity Theory, Probability Theory, and for Quantum Theory. Contents is the following: 1 Introduction. 2 Classical logic. 3 Time and space. 3.1 Recorders. 3.2 Time. 3.3 Space. 3.4 Relativity. 4. Probability. 4.1 B-functions. 4.2 Independent tests. 4.3 Function of probability. 4.4 Conditional probability. 4.5 Classical probability 4.6 B-functions and classical propositional logic. 4.7 Consistency of the probability function. 4.7.1 Nonstandard numbers. 4.7.2 Model. 5. Quantum theory. 5.1 Events and the moving equations. 5.2 Rotations of the x5Ox4 system and B-bosonn. 5.3 Masses. 5.4 The one-mass states, particles and antiparticles. 5.5 The two-masses states. 5.5.1 Neutrinno. 5.5.2 Electroweak transformations. 5.6 Rotations of the Cartesian coordinates system and quarrks. 5.7 Gustatory pentads. 5.8 Two events. 5.9 The dimension of physical space. 5.10 The events-probability interpretation of Quantum Theory. 6. Conclusion.
The propositional logic is generalized on the real numbers field. the logical function with all properties of the classical probability function is obtained. The logical analog of the Bernoulli independent tests scheme is constructed. The logical analog of the Large Number Law is deduced from properties of these functions. The logical analog of thd conditional probability is defined. Consistency encured by a model on a suitable variant of the nonstandard analysis.