01.00.00 Physical-mathematical sciences
-
01.00.00 Physical-mathematical sciences
DescriptionThe question of construction of electrodynamics in the framework of the metric theory of gravitation is discussed. It is shown that the energy-momentum tensor of the electromagnetic field creates a space in which Faraday's law of induction is true. In such a space the scalar curvature vanishes identically, although space contains matter in the form of an electromagnetic field. It is proposed to call such space Faraday's magnetic universe as historically Faraday first established experimentally that "empty space is a magnet." We consider the metric of the expanding universe and metrics that describe the local gravitational field in the Newtonian theory. It was established that the field equations in spaces containing matter only in the form of an electromagnetic field in these metrics are reduced to hyperbolic equations describing the propagation of waves at the speed of light. However, in the field containing matter, the field equations are the equations of parabolic type, which describe diffusion or probability waves of Schrödinger quantum theory type. It is assumed that the potentials of the two metrics are connected, as with the potentials of the electromagnetic field, and the potentials of the Yang-Mills theory. Hence, the total output for all interactions law establishing the primacy of the gravitational field as the fundamental interaction, generating other interactions
-
01.00.00 Physical-mathematical sciences
DescriptionThe method of ordinary least squares (OLS) is widely known and deservedly popular. However, some attempts to improve this method. The result of one of such attempts is the weighted least squares (WMNC), the essence of which is to give the observation a weight which is inversely proportional to the errors of their approximation. Thereby, in fact, monitoring is ignored the more the difficult to approximate it. The result of this approach, formally, is the approximation error decreasing, but in fact, this occurs by partial refusal to consider the "problem" of observations, making a big mistake. If the idea underlying WMNC to bring to the extreme (and absurd), then in the limit, this approach will lead to the fact that from the entire set of observations there will be only those that lie almost exactly on the trend obtained by the method of least squares, and the rest will simply be ignored. However, according to the author, it's not a problem, and the failure of its decision, though it might look like a solution. In the work we have proposed a solution, based on the theory of information: to consider the weight of observations, the number of the argument of the value function. This approach was validated in the framework of a new innovative method of artificial intelligence: methods for automated system-cognitive analysis (ASA-analysis) and implemented 30 years ago in its software toolkit, which is "Eidos" intelligent system in the form of so-called "cognitive functions". This article presents an algorithm and software implementation of this approach, illustrated in detailed numerical example. In the future it is planned to give a detailed mathematical basis of the method of weighted least squares, which is modified by the application of information theory to calculate the weights of the observations, and investigate its properties
-
FORECASTING OF THE DYNAMICS OF THELABOR FORCE USING AN INTERSECTORAL MATHEMATICAL MODEL
01.00.00 Physical-mathematical sciences
DescriptionIn this article we have proposed an intersectoral mathematical model of self-organization of the labor market. This model is the system of balance equations of the dynamics of the labor force. The model contains parameters that show where workers were employed in previous times. Therefore it is possible to monitor the dynamics of intersectoral labor force over a long period of time. It has been shown that the model allows to solve the problem of forecasting the number of employed and unemployed in the labor market under the assumption that the parameters of the probabilistic model are constant for a certain period. The use of the model is illustrated on the example in which the probabilities of hiring and firing of employees were calculated, as well as the probabilities that the employees in the analyzed period (2011 – 2012 years) leave the labor market. The forecast of the number of employed and unemployed at the end of the next period (2013) is based on the calculated probabilities. It has been demonstrated that the deviation of the predicted values from the statistical data is not significant, which witnesses about the efficiency of the forecast
-
STATISTICAL MODELS DECISION SUPPORT FOR INFORMATION SECURITY MANAGEMENT IN AN AUTOMATED SYSTEM
01.00.00 Physical-mathematical sciences
DescriptionThe article deals with mathematical models of management decision-making to select the option to protect the AU, based on sufficient statistical information about attacks on the AU. The amount of a priori uncertainty about the choice of protection option in GIS was described with Boltzmann's entropy. Introduction of the value within Shannon’s definition of mutual information is called the context random variables, it allows removing the uncertainty regarding the actions of the enemy, and it enables decisionmakers to choose protection options. The model of decision for choosing the type of protection of the AIS presented in the article is based on sufficient statistical information about the attacks to the system components. In the ideal case, for decision-making, we use large sample statistical data that provides high accuracy control system for protection of information. Based on the available amount of information available to the IPA, against the acts of SIN, it is possible to choose a decision on the choices you make
-
HADRONS METRICS SIMULATION ON THE YANG-MILLS EQUATIONS
01.00.00 Physical-mathematical sciences
DescriptionIn this article we consider the Yang-Mills theory in connection with the Einstein and Maxwell equations. The model of a metric satisfying the basic requirements of particle physics and cosmology is proposed. Firstly we consider the example of a purely temporary solution of the Yang-Mills equations in the space of torsion-free and the basic equations of the model of the cosmological scale. Some exact solutions and numerical model in a case, when density of baryonic matter and electromagnetic energy density remains constant over time been investigated. We obtained the solution combines the properties of Einstein's model, and Friedman’s model as well, describes the universe as a time-dependent metric, and with a constant density distribution of baryonic matter and electromagnetic field. Secondly, the model of the proton scale proposed. We proved that the metric of the observable universe is associated with a metric of the periodic lattice, given by the Weierstrass function. We find that there may be a spherical particle, which expand in sync with the space of the universe. Therefore, from the point of view of the outside observer they seem having static form like protons.
-
ADAPTIVE TIME SERIES MODELS OF A MOUNTAIN RIVER LEVEL
01.00.00 Physical-mathematical sciences
DescriptionThe article presents a technique of short-term forecasting of water level in the river bed of a mountain type using Markov’s chains
-
ON THE NUMERATIONS OF THE FINITE PARTIALLY ORDERED SETS
01.00.00 Physical-mathematical sciences
DescriptionIn this article, we discuss various issues related to the formulas approximating the distribution function of prime numbers pi(x). This question has occupied many scholars, but the exact function is well approximated function pi(x) over the number of positive integers not. Based on certain hypotheses, we present a new function s(x) is very well approximated pi(x). The above article hypotheses are so important that their numerical validation and refinement for the lengths of the segments more in 1014 - one of the main areas related to the problem of approximation of the function pi(x) throughout the series of natural numbers. After analyzing the behaviors and constructs many functions, we are building the basis of the function s(x), which is well approximates the function pi(x) throughout the series of natural numbers. We also present a table of values for x, less or equal 1022 for the difference of s(x) - pi(x)
-
01.00.00 Physical-mathematical sciences
DescriptionWave solutions of Einstein's equations in the sixdimensional space-time with metric signature (+, +, +, -, -, -) have been found. It is shown that solutions of this type can be used to model the structure of the electric charge
-
01.00.00 Physical-mathematical sciences
DescriptionThe article presents a technique of short-term forecasting of water level in the river bed of a mountain type using Markov’s chains
-
01.00.00 Physical-mathematical sciences
DescriptionIn the article the application of systemic-cognitive analysis and its mathematical model i.e. the system theory of the information and its program toolkit which is "Eidos" system for loading images from graphics files, synthesis of the generalized images of classes, their abstraction, classification of the generalized images (clusters and constructs) comparisons of concrete images with the generalized images (identification) are examined. We suggest using the theory of information for processing the data and its size for every pixel which indicates that the image is of a certain class. A numerical example is given in which on the basis of a number of specific examples of images belonging to different classes, forming generalized images of these classes, independent of their specific implementations, i.e., the "Eidoses" of these images (in the definition of Plato) – the prototypes or archetypes of images (in the definition of Jung). But the "Eidos" system provides not only the formation of prototype images, which quantitatively reflects the amount of information in the elements of specific images on their belonging to a particular proto-types, but a comparison of specific images with generic (identification) and the generalization of pictures images with each other (classification)