In this article, we present the fundamental theorem of
arithmetic and its role. We consider various rings for
its performance
It is offered to expand the classification of risks by
introducing a global risk of economic system,
which separates stages burdened with the local
risks having arbitrarily direction. Serial or parallel
origin of these risks is modeled dyadic chain
vectors or four-dimensional conglomerates of
quaternions in Clifford spaces. Multivariate risk is
to transform analytically, calculate quantitatively,
construct geometric vector operations in the
ensemble with the economic variables on which
part of the cost of the risk and that is lost or after
symptoms appear. Therefore, the cost of an asset
depends on a comprehensive cost of the "basis",
burdened risk ("common value"), and the
magnitude of the risk of leaving part - "risky value"
- from zero. Now, the risk emerges as a new
economic and mathematical category. Through the
study of risks and through research of their new
multi-dimensional performance value it is possible
to insight into understanding the mechanisms of
action of the economic laws worldwide and in
Russia
Based on an objective analysis, it must be noted that
in the arsenal of managers, especially foreign ones,
there is practically no fundamentally new methods
and tools. However, promising mathematical and
instrumental methods of controlling actively
developed in our country. In the XXI century it
developed a new paradigm of mathematical methods
of economics and produced more than 10 books,
developed in accordance with this paradigm. The
new paradigm is based on the modern development
of mathematics as a whole - on the system interval
fuzzy math. The new paradigm offers tools used
non-parametric statistics, which suggest that the
distribution functions are arbitrary. In 1979 it was
allocated one of the four major areas of modern
applied statistics - statistics of objects of nonnumeric
nature (statistics of non-numeric data, nonnumeric
statistics). The other three - statistics of
random variables, multivariate statistical analysis,
statistics of random processes and time series.
Statistics of objects of non-numeric nature is central
to the modern mathematical methods of economics.
On the basis of modern information-communication
technologies we have developed a new economic
theory - solidary information economy. New
intellectual tools of controlling include an
automated system-cognitive analysis (ASA) and its
software - the system of "Eidos". The systems
approach to solving specific applications often
requires going beyond the economy. Very important
are the procedures for the introduction of innovative
methods and tools
This article explores the multicriteria problems arise
in the organization of routes in large-scale transport
management system. As a mathematical tool for constructing
a model, we were using the prefractal
graphs. Prefractal graphs naturally reflect structure of
the device of communications of transport system,
reflecting its important features – locality and
differentiation. Locality is provided with creation of
internal routes (city, raionwide, etc.). Differentiation
is understood as division of routes on intra regional,
interregional and international. The objective is
reduced to a covering of prefractal graphs by the
simple paths which are crossed on edges and nodes.
On the set of feasible solutions, vector criterion
function with certain criteria is based. In concepts of
transport system, the given criteria have concrete
substantial interpretation, the transport routes allowing
to design considering features of system.
In this article, we construct polynomial algorithms for
finding optimal according to certain criteria decision.
By the criteria which aren't optimizing the allocated
routes their estimates of the lower and upper bounds
are given. On all given algorithms the estimates of
computing complexity confirming advantage of use
of methods of prefractal and fractal graphs before
classical methods of the theory of graphs are
constructed and proved
The article is devoted to the nonparametric point and
interval estimation of the characteristics of the
probabilistic distribution (the expectation, median,
variance, standard deviation, variation coefficient) of
the sample results. Sample values are regarded as the
implementation of independent and identically
distributed random variables with an arbitrary
distribution function having the desired number of
moments. Nonparametric analysis procedures are
compared with the parametric procedures, based on
the assumption that the sample values have a normal
distribution. Point estimators are constructed in the
obvious way - using sample analogs of the
theoretical characteristics. Interval estimators are
based on asymptotic normality of sample moments
and functions from them. Nonparametric asymptotic
confidence intervals are obtained through the use of
special output technology of the asymptotic relations
of Applied Statistics. In the first step this technology
uses the multidimensional central limit theorem,
applied to the sums of vectors whose coordinates are
the degrees of initial random variables. The second
step is the conversion limit multivariate normal
vector to obtain the interest of researcher vector. At
the same considerations we have used linearization
and discarded infinitesimal quantities. The third step
- a rigorous justification of the results on the
asymptotic standard for mathematical and statistical
reasoning level. It is usually necessary to use the
necessary and sufficient conditions for the
inheritance of convergence. This article contains 10
numerical examples. Initial data - information about
an operating time of 50 cutting tools to the limit
state. Using the methods developed on the
assumption of normal distribution, it can lead to
noticeably distorted conclusions in a situation where
the normality hypothesis failed. Practical
recommendations are: for the analysis of real data we
should use nonparametric confidence limits
In various applications it is necessary to analyze
some expert orderings, ie clustered rankings of
examination objects. These areas include technical
studies, ecology, management, economics, sociology,
forecasting, etc. The objects may make samples of
the products, technologies, mathematical models,
projects, job applicants and others. We obtain
clustered rankings which can be both with the help
of experts and objective way, for example, by
comparing the mathematical models with
experimental data using a particular quality criterion.
The method described in this article was developed
in connection with the problems of chemical safety
and environmental security of the biosphere. We
propose a new method for constructing a clustered
ranking which can be average (in the sense,
discussed in this work) for all clustered rankings
under our consideration. Then the contradictions
between the individual initial rankings are contained
within clusters average (coordinated) ranking. As a
result, ordered clusters reflects the general opinion
of the experts, more precisely, the total that is
contained simultaneously in all the original
rankings. Newly built clustered ranking is often
called the matching (coordinated) ranking with
respect to the original clustered rankings. The
clusters are enclosed objects about which some of
the initial rankings are contradictory. For these
objects is necessary to conduct the new studies.
These studies can be formal mathematics
(calculation of the Kemeny median, orderings by
means of the averages and medians of ranks, etc.) or
these studies require involvement of new information
from the relevant application area, it may be
necessary conduct additional scientific research. In
this article we introduce the necessary concepts and
we formulate the new algorithm of construct the
coordinated ranking for some cluster rankings in
general terms, and its properties are discussed
The article discusses the use of automatic systemic-cognitive analysis (ASC-analysis), its mathematical model is a system of information theory and software tools – an intellectual system called "Eidos" for the solution of some problems of ampelography: 1) digitization of scanned images of the leaves and creation of their mathematical models; 2) the formation of mathematical models of specific leaves using the spreading of information theory; 3) the formation of models of generalized images of leaves of various sorts; 4) comparing an image of a specific leaf with a generalized image of the leaf of different varieties and finding a quantitative degree of similarity and differences between them, i.e. the identification of the varieties on the leaf; 5) quantification of the similarities and differences of the varieties, i.e. cluster-constructive analysis of generalized images of the leaves of different varieties. We propose a new approach to digitizing images of leaves, based on using the polar coordinate system, the center of gravity of the image and its external contour. Before scanning images we may use transformation to standardize the position of the still images, their sizes and rotation angle. Therefore, the results of digitization and ASC-analysis of the images might be invariant (independent) relatively to their position, size and rotation. The specific shape of the contour of the leaf is regarded as noise information on the variety, including information about the true shape of the leaf of the class (clean signal) and noise, which distort this true form, originating in a random environment. Software tools of ASC-analysis – intellectual "Eidos" system ensures noise reduction and the selection of the signal about the true shape of the leaf of each variety on the basis of a number of noisy concrete examples of the leaves of this variety. This creates a one way form of a leaf of each class, free from their concrete implementations, i.e., the "Eidos" of these images (in the sense of Plato) is a prototype or archetype (in the Jungian sense) of the images
The article presents a project of the capacitor in the
Yang-Mills theory. Model capacitor represents the
equipotential surfaces separated by a space. To
describe the mechanism of condensation
chromodynamics field used numerical models
developed based on an average of the Yang-Mills
theory. In the present study, we used eight-scalar
component model that in the linear case is divided
into two groups containing three or five fields
respectively. In contrast to classical electrodynamics,
a static model of the Yang-Mills is not divided into
independent equations because of the nonlinearity of
the model itself. However, in the case of a linear
theory separation is possible. It is shown that in this
particular case, the Yang-Mills theory is reduced to
Poisson theory, which describes the electrostatic and
magnetostatic phenomena. In the present work it is
shown that in a certain region of the parameters of the
capacitor of the Yang-Mills theory on the functional
properties of the charge accumulation and retention of
the field is similar to the capacitor of the electrostatic
field or a magnet in magnetostatics. This means that
in nature there are two types of charges, which are
sources of macroscopic Yang-Mills field, which are
similar to the properties of electric and magnetic
charges in the Poisson theory. It is shown that in
Yang-Mills only one type of charge may be
associated with the distribution density of the
substance, while another type of charge depends on
the charge distribution of the first type. This allows us
to provide an explanation for the lack of symmetry
between electric and magnetic charges
The steady increase in demand for isotopes requires the
development of methods to increase the efficiency of
isotope separation technologies. Methods of isotope
separation based on thermodynamic differences of
isotopic forms of the molecules don't require significant
investment, but characterized by a low rate of exchange.
It's known that the magnetic effect leads to a change the
vibrational frequency of the molecules, and therefore
their thermodynamic parameters. The change increases
the thermodynamic parameters, including the exchange
rate. The results of the experimental determination of the
thermal effect of dissolving the salts of NaCl, KCl,
CuSO4, sodium amalgam decomposition by distillate in
a magnetic field and without field were shown. Magnetic
interference can have a significant effect on the amalgam
exchange method which was shown by quantum and
mechanical analysis of the results
In 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)