3,335 research outputs found
Investigation of interaction of carbon dioxide with aerogels nanopores
The absorption spectrum of 2 0 0 12 β 0 0 0 01 band of carbon dioxide, confined in 20 nm nanopores of silica aerogel, was measured with help of a Bruker IFS 125 HR Fourier transform spectrometer at room temperature and a spectral resolution of 0.01 cm-1. The obtained dependence of spectral line half-width values on rotational quantum numbers was studied and compared with data available in the literature. Β© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only
He-broadening and shift coefficients of water vapor lines in infrared spectral region
The water vapor line broadening and shift coefficients in the Ξ½1+Ξ½2, Ξ½2+Ξ½3, Ξ½1+Ξ½3, 2Ξ½3, 2Ξ½1, 2Ξ½2+Ξ½3, and Ξ½1+2Ξ½2 vibrational bands induced by helium pressure were measured using a Bruker IFS 125HR spectrometer. The vibrational bands 2Ξ½3 and Ξ½1+2Ξ½2 were investigated for the first time. The interaction potential used in the calculations of broadening and shift coefficients was chosen as the sum of pair potentials, which were modeled by the Lennard-Jones (6-12) potentials. The vibrational and rotational contributions to this potential were obtained by use of the intermolecular potential parameters and intramolecular parameters of H2O molecule. The calculated values of the broadening and shift coefficients were compared with the experimental data. Β© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only
Khalifa University Reachback Program Supporting Prevention of Illicit Nuclear and Radiological Material Smuggling in the United Arab Emirates
Trafficking of Illicit nuclear or radiological materials is a global threat which can involve and adversely affect any country. Ultimately, it is the responsibility of each state to prevent and combat illicit nuclear trafficking by screening all cargo and travelers entering, exiting, and transiting through its borders. As a part of the national radiation detection infrastructure of the United Arab Emirates (UAE), a reachback program was established at Khalifa University (KU) to provide capabilities for adjudication of radiation alarms at Khalifa Port and other radiation portal monitor (RPM) locations. In addition to the main mission, KU Reachback aims to educate and prepare local talent to lead these vital efforts in the future. This is particularly important because the UAE, similar to other newcomers to the nuclear industry, faces human capital challenges which can be addressed using domestic or regional solutions
The phenomenon of the home: Metaphysics of the innermost (as illustrated by the modern Russian culture)
The relevance of the problem under study is based on the influence of the expanding globalization processes that affect the view of life of a modern man: the internal balance is lost due to feeling of chaos, rhythm of life and constant changes. In these conditions there is a tendency to de-humanize the living environment, depersonalization of living space and desacralization of human dwelling which leads to re-thinking of the Home that ensures human existence in the world. The purpose of the article is to state the necessity of new understanding of the Home as the phenomenon of culture which would confront the absolute priority of the rational, pragmatic and utilitarian through the notion of βthe innermostβ, through studying the transformation of the innermost within the historical context and through revealing the dialectics of the innermost and the explicit in living space of the modern culture. The lead method for studying this problem is the interdisciplinary approach that provides the possibility of comprehensive consideration of the results of philosophical, cultural, architectural and other studies. The article reveals the essence and the main philosophical-cultural characteristics of the Home and the essence of the innermost as a special super-value, specifies the traditional image of the innermost in living space related to the Home as the centre of existence and reveals the attributes of transformation of the innermost in the Home resulting from the processes which are characteristic of the modern age. The materials of the article can be useful for developing the scientific-methodological support of general and special courses, for conducting lessons in philosophical-cultural disciplines and for usage for designing and modeling the living environment. Β© 2016 Shupletsova et al
A projection proximal-point algorithm for l^1-minimization
The problem of the minimization of least squares functionals with
penalties is considered in an infinite dimensional Hilbert space setting. While
there are several algorithms available in the finite dimensional setting there
are only a few of them which come with a proper convergence analysis in the
infinite dimensional setting. In this work we provide an algorithm from a class
which have not been considered for minimization before, namely a
proximal-point method in combination with a projection step. We show that this
idea gives a simple and easy to implement algorithm. We present experiments
which indicate that the algorithm may perform better than other algorithms if
we employ them without any special tricks. Hence, we may conclude that the
projection proximal-point idea is a promising idea in the context of
-minimization
Modification of the experimental setup of the FTIR spectrometer and thirty-meter optical cell for measurements of weak selective and nonselective absorptions
The improvement of the experimental setup based on a Fourier spectrometer Bruker IFS-125 and a 30-meter multipass optical cell is described. The improvement includes the cell equipment with a system of automated adjustment of the number of beam passes without cell depressurization and ensures the cell work at high temperatures
ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈΠ·Π°ΡΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ ΠΌΠΎΠ΄ΡΠ»Π΅ΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΠΎ-ΡΠ΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠΈΡΡΠ΅ΠΌ*
The purpose of the research is to develop a generalized structural scheme of organizational and technical systems based on the general theory of management, which contains the necessary and sufficient number of modules and formalize on this basis the main management tasks that act as goals of the behavior of the management object. The main modules that directly implement the management process are the status assessment module of organizational and technical systems and the management module. It is shown that in traditional organizational and technical systems, including the decision-maker, the key module is the state assessment module of organizational and technical systems. In this regard, the key aspect of the work is to study the optimal algorithms for evaluating the state of processes occurring in the organizational and technical systems and develop on this basis the principles of mathematical formalization and algorithmization of the status assessment module. The research method is the application of the principles of the theory of statistical estimates of random processes occurring in the organizational and technical systems against the background of interference and the synthesis of algorithms for the functioning of the status assessment module on this basis. It is shown that a characteristic feature of random processes occurring in organizational and technical systems is their essentially discrete nature and Poisson statistics. A mathematical description of the statistical characteristics of point random processes is formulated, which is suitable for solving the main problems of process evaluation and management in organizational and technical systems. The main results were the definition of state space of the organizational and technical systems, the development of a generalized structural scheme of the organizational and technical systems in state space that includes the modules forming the state variable of the module assessment and module management. This mathematical interpretation of the organizational and technical systems structure allowed us to formalize the main problems solved by typical organizational and technical systems and consider optimal algorithms for solving such problems. The assumption when considering the problems of synthesis of optimal algorithms is to optimize the status assessment module of organizational and technical systems and the control module separately, while the main attention is paid to the consideration of optimal estimation algorithms. The formalization and algorithmization of the organizational and technical systems behavior is undertaken mainly in terms of the Bayesian criterion of optimal statistical estimates. Various methods of overcoming a priori uncertainty typical for the development of real organizational and technical systems are indicated. Methods of adaptation are discussed, including Bayesian adaptation of the decision-making procedure under conditions of a priori uncertainty. Using a special case of the Central limit theorem, an asymptotic statistical relationship between the mentioned point processes and traditional Gaussian processes is established. As an example, a nontrivial problem of optimal detection of Poisson signal against a background of Poisson noise is considered; graphs of the potential noise immunity of this algorithm are calculated and presented. The corresponding references are given to the previously obtained results of estimates of Poisson processes. For automatic organizational and technical systems, the generally accepted criteria for the quality of management of such systems are specified. The result of the review is a classification of methods for formalization and algorithmization of problems describing the behavior of organizational and technical systems.Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΎΠ±ΡΠ΅ΠΉ ΡΠ΅ΠΎΡΠΈΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΉ ΡΡ
Π΅ΠΌΡ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌ, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠ΅ΠΉ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΠ΅ ΠΈ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΌΠΎΠ΄ΡΠ»Π΅ΠΉ ΠΈ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·Π°ΡΠΈΡ Π½Π° ΡΡΠΎΠΉ ΠΎΡΠ½ΠΎΠ²Π΅ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π·Π°Π΄Π°Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ, Π²ΡΡΡΡΠΏΠ°ΡΡΠΈΡ
Π² ΡΠΎΠ»ΠΈ ΡΠ΅Π»Π΅ΠΉ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΊΡΠ° ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ. ΠΡΠ½ΠΎΠ²Π½ΡΠΌΠΈ ΠΌΠΎΠ΄ΡΠ»ΡΠΌΠΈ, Π½Π΅ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²Π΅Π½Π½ΠΎ ΡΠ΅Π°Π»ΠΈΠ·ΡΡΡΠΈΠΌΠΈ ΠΏΡΠΎΡΠ΅ΡΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ, ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΌΠΎΠ΄ΡΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ (ΠΠ’Π‘) ΠΈ ΠΌΠΎΠ΄ΡΠ»Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π² ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΠ’Π‘, Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΡ
Π»ΠΈΡΠΎ, ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΡΠ΅Π΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅, ΠΊΠ»ΡΡΠ΅Π²ΡΠΌ ΠΌΠΎΠ΄ΡΠ»Π΅ΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΌΠΎΠ΄ΡΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΠ’Π‘. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΊΠ»ΡΡΠ΅Π²ΡΠΌ Π°ΡΠΏΠ΅ΠΊΡΠΎΠΌ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ², ΠΏΡΠΎΡΠ΅ΠΊΠ°ΡΡΠΈΡ
Π² ΠΠ’Π‘ ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π½Π° ΡΡΠΎΠΉ ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠ² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΌΠΎΠ΄ΡΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ.ΠΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠ² ΡΠ΅ΠΎΡΠΈΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ΅Π½ΠΎΠΊ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ², ΠΏΡΠΎΡΠ΅ΠΊΠ°ΡΡΠΈΡ
Π² ΠΠ’Π‘ Π½Π° ΡΠΎΠ½Π΅ ΠΏΠΎΠΌΠ΅Ρ
ΠΈ ΡΠΈΠ½ΡΠ΅Π· Π½Π° ΡΡΠΎΠΉ ΠΎΡΠ½ΠΎΠ²Π΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠ΄ΡΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΡ ΠΏΡΠΎΡΠ΅ΠΊΠ°ΡΡΠΈΡ
Π² ΠΠ’Π‘ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΡ
ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΡΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ ΠΈ ΠΏΡΠ°ΡΡΠΎΠ½ΠΎΠ²ΡΠΊΠ°Ρ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ°. Π‘ΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠΎΡΠ΅ΡΠ½ΡΡ
ΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ², ΠΏΡΠΈΠ³ΠΎΠ΄Π½ΠΎΠ΅ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π·Π°Π΄Π°Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π² ΠΠ’Π‘. ΠΡΠ½ΠΎΠ²Π½ΡΠΌΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌΠΈ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΡΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ½ΡΡΠΈΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ ΠΠ’Π‘, ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΉ ΡΡ
Π΅ΠΌΡ ΠΠ’Π‘ Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ, Π²ΠΊΠ»ΡΡΠ°ΡΡΠ΅ΠΉ ΠΌΠΎΠ΄ΡΠ»ΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ, ΠΌΠΎΠ΄ΡΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΈ ΠΌΠΎΠ΄ΡΠ»Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ. Π’Π°ΠΊΠ°Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΡ ΡΡΡΡΠΊΡΡΡΡ ΠΠ’Π‘ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° ΡΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°ΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ Π·Π°Π΄Π°ΡΠΈ, ΡΠ΅ΡΠ°Π΅ΠΌΡΠ΅ ΡΠΈΠΏΠΎΠ²ΡΠΌΠΈ ΠΠ’Π‘ ΠΈ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅ΡΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΡ
Π·Π°Π΄Π°Ρ. ΠΠΎΠΏΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΡΠΈ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠΈ Π·Π°Π΄Π°Ρ ΡΠΈΠ½ΡΠ΅Π·Π° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΌΠΎΠ΄ΡΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΠ’Π‘ ΠΈ ΠΌΠΎΠ΄ΡΠ»Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΠΎ ΠΎΡΠ΄Π΅Π»ΡΠ½ΠΎΡΡΠΈ, ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΠΎΡΠ΅Π½ΠΎΠΊ. Π€ΠΎΡΠΌΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈΠ·Π°ΡΠΈΡ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΠ’Π‘ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΡΡΠ°, Π² ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΌ, Π² ΡΠ΅ΡΠΌΠΈΠ½Π°Ρ
Π±Π°ΠΉΠ΅ΡΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ΅Π½ΠΎΠΊ. Π£ΠΊΠ°Π·Π°Π½Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ Π°ΠΏΡΠΈΠΎΡΠ½ΠΎΠΉ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡΠΈ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΠΎΠΉ Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ΅Π°Π»ΡΠ½ΡΡ
ΠΠ’Π‘. ΠΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ, Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΠ΅ Π±Π°ΠΉΠ΅ΡΠΎΠ²ΡΠΊΡΡ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΡ ΠΏΡΠΎΡΠ΅Π΄ΡΡΡ ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π°ΠΏΡΠΈΠΎΡΠ½ΠΎΠΉ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡΠΈ. Π‘ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠ°ΡΡΠ½ΠΎΠ³ΠΎ ΡΠ»ΡΡΠ°Ρ ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΡΠ΅Π΄Π΅Π»ΡΠ½ΠΎΠΉ ΡΠ΅ΠΎΡΠ΅ΠΌΡ ΡΡΡΠ°Π½Π°Π²Π»ΠΈΠ²Π°Π΅ΡΡΡ Π°ΡΠΈΠΌΠΏΡΠΎΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΏΠΎΠΌΡΠ½ΡΡΡΠΌΠΈ ΡΠΎΡΠ΅ΡΠ½ΡΠΌΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ ΠΈ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΠΌΠΈ Π³Π°ΡΡΡΠΎΠ²ΡΠΊΠΈΠΌΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΡΠΈΠΌΠ΅ΡΠ° ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π½Π΅ΡΡΠΈΠ²ΠΈΠ°Π»ΡΠ½Π°Ρ Π·Π°Π΄Π°ΡΠ° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΏΡΠ°ΡΡΠΎΠ½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»Π° Π½Π° ΡΠΎΠ½Π΅ ΠΏΡΠ°ΡΡΠΎΠ½ΠΎΠ²ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠ΅Ρ
ΠΈ, ΡΠ°ΡΡΡΠΈΡΠ°Π½Ρ ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π³ΡΠ°ΡΠΈΠΊΠΈ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΠΎΠΌΠ΅Ρ
ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΡΡΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°. ΠΠ° ΡΠ°Π½Π΅Π΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΎΡΠ΅Π½ΠΎΠΊ ΠΏΡΠ°ΡΡΠΎΠ½ΠΎΠ²ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π΄Π°Π½Ρ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ ΡΡΡΠ»ΠΊΠΈ. ΠΠ»Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΠ’Π‘ ΡΠΊΠ°Π·Π°Π½Ρ ΠΎΠ±ΡΠ΅ΠΏΡΠΈΠ½ΡΡΡΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΠΌΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌΠΈ. ΠΡΠΎΠ³ΠΎΠΌ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠΎΡΠΌΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈΠ·Π°ΡΠΈΠΈ Π·Π°Π΄Π°Ρ, ΠΎΠΏΠΈΡΡΠ²Π°ΡΡΠΈΡ
ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΠ’Π‘
ΠΠ°ΡΠΊΠΎΠ²ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠ²ΡΡΠ²Π΅Π½Π½ΡΡ ΠΎΠ±ΡΠ°Π·ΠΎΠ² Π΄Π»Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π²Π½Π΅ΡΠ½Π΅Π³ΠΎ ΠΌΠΈΡΠ°*
The aim of the study is a probabilistic description of the functioningΒ of the cognitive system, taking into account its internal logic andΒ interaction with the external environment.Such concepts of cognitive theory as sensory imaginative representations,Β models, systems are the most common, so the attempt toΒ formalize them is by obtaining the most common results. One of theΒ key concepts of cognitive theory is Gestalt, which is understood inΒ this work as a kind of holistic perception of the sensual image, asΒ well as the sensual image. Formalization (mathematical description)Β of Gestalt, as well as other concepts of cognitive theory meets theΒ natural difficulties associated with the uncertainty of these concepts.Β On the other hand, there are well-developed mathematical models ofΒ behavior of quite specific organizational systems, allowing obtainingΒ meaningful results.Β In this regard, the mathematical description of a wide class of cognitiveΒ systems, not limited to the specific content of their functioning,Β is an urgent task. In this study, it is assumed that sensory imagesΒ occur at random times and affect the cognitive system with certainΒ probabilities. In this regard, one of the adequate mathematical toolsΒ are, apparently, probability-theoretic methods, in particular, theΒ application of the theory of Markov processes.Β The method of research within the framework of the adopted model isΒ the application of the theory of Markov processes developing at fixedΒ points in time, i.e. Markov chains. It is believed that the functioningΒ of the cognitive system is described by abstract probabilities of changesΒ in the system states. This approach allows formalizing the processesΒ of representation of sensory images in the cognitive system, takingΒ into account both the internal logic of the system and the interaction of the system with the outside world. The main attention is paid to the study of the influence on the behavior of the system external to her sensual images.As a result of the study shows that the inclusion of the interactions of theΒ system is achieved by introducing the stochastic matrix of probabilitiesΒ of the system response to external influences. Taking into account theΒ well-developed theory of Markov chains, analytical expressions for theΒ probabilities of the system in each of the possible states are obtained.Β The influence on the behavior of the system of elements of the matrixΒ of probability reactions of the system is investigated, the correspondingΒ graphs are presented. The asymptotic behavior of the system is studiedΒ with an unlimited increase in the number of steps that change the stateΒ of the system, as well as the average characteristics of the system.Β It is noted that the presented description is formal, operates onlyΒ with probabilistic characteristics of the system and does not takeΒ into account specific signals that can enter the system from itsΒ sensors, and generally sensitive elements. In this regard, the furtherΒ development of the model may be associated with the assessmentΒ of the probability of the system response to external influences,Β taking into account the characteristics of these specific signals, asΒ well as the development of optimal algorithms for decision-makingΒ about the presence or absence of impacts on the system from theΒ outside world.Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Ρ ΡΡΠ΅ΡΠΎΠΌ Π΅Π΅ Π²Π½ΡΡΡΠ΅Π½Π½Π΅ΠΉΒ Π»ΠΎΠ³ΠΈΠΊΠΈ ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Ρ Π²Π½Π΅ΡΠ½Π΅ΠΉ ΡΡΠ΅Π΄ΠΎΠΉ.Π’Π°ΠΊΠΈΠ΅ ΠΏΠΎΠ½ΡΡΠΈΡ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΠΎΡΠΈΠΈ, ΠΊΠ°ΠΊ ΡΡΠ²ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΎΠ±ΡΠ°Π·Π½ΡΠ΅Β ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ, ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ²Π»ΡΡΡΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΎΠ±ΡΠΈΠΌΠΈ,Β ΠΏΠΎΡΡΠΎΠΌΡ ΠΏΠΎΠΏΡΡΠΊΠ° ΠΈΡ
ΡΠΎΡΠΌΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΡΠ΅ΠΌ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡΒ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΎΠ±ΡΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ². ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΊΠ»ΡΡΠ΅Π²ΡΡ
ΠΏΠΎΠ½ΡΡΠΈΠΉΒ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΠΎΡΠΈΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π³Π΅ΡΡΠ°Π»ΡΡ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ½ΠΈΠΌΠ°Π΅ΡΡΡΒ Π² Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΊΠ°ΠΊ Π½Π΅ΠΊΠΎΠ΅ ΡΠ΅Π»ΠΎΡΡΠ½ΠΎΠ΅ Π²ΠΎΡΠΏΡΠΈΡΡΠΈΠ΅ ΡΡΠ²ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ°Π·Π°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈ ΡΠ°ΠΌ ΡΡΠ²ΡΡΠ²Π΅Π½Π½ΡΠΉ ΠΎΠ±ΡΠ°Π· Π€ΠΎΡΠΌΠ°Π»ΠΈΠ·Π°ΡΠΈΡΒ (ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅) Π³Π΅ΡΡΠ°Π»ΡΡΠΎΠ², ΠΊΠ°ΠΊ ΠΈ Π΄ΡΡΠ³ΠΈΡ
ΠΏΠΎΠ½ΡΡΠΈΠΉΒ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΠΎΡΠΈΠΈ Π²ΡΡΡΠ΅ΡΠ°Π΅Ρ Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π·Π°ΡΡΡΠ΄Π½Π΅Π½ΠΈΡ,Β ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡΡΡ ΡΠ°ΠΌΠΈΡ
ΡΡΠΈΡ
ΠΏΠΎΠ½ΡΡΠΈΠΉ.Β Π‘ Π΄ΡΡΠ³ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Ρ, ΡΡΡΠ΅ΡΡΠ²ΡΡΡ Ρ
ΠΎΡΠΎΡΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠ΅ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Β ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠ΅ ΠΏΠΎΠ»ΡΡΠ°ΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ.Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΡΠΈΡΠΎΠΊΠΎΠ³ΠΎΒ ΠΊΠ»Π°ΡΡΠ° ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ, Π½Π΅ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΠΎΠ΅ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΠΌ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ ΠΈΡ
ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠ²Π»ΡΠ΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠ΅ΠΉ.Β Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅ΡΡΡ, ΡΡΠΎ ΡΡΠ²ΡΡΠ²Π΅Π½Π½ΡΠ΅Β ΠΎΠ±ΡΠ°Π·Ρ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡ Π² ΡΠ»ΡΡΠ°ΠΉΠ½ΡΠ΅ ΠΌΠΎΠΌΠ΅Π½ΡΡ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΈ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΡΡΡ Π½Π° ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠΌΠΈ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡΠΌΠΈ. ΠΒ ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΎΠ΄Π½ΠΈΠΌΠΈ ΠΈΠ· Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΡΡ
ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠ²Π»ΡΡΡΡΡ, ΠΏΠΎ-Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌΡ, ΡΠ΅ΠΎΡΠ΅ΡΠΈΠΊΠΎ-Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ½ΡΠ΅Β ΠΌΠ΅ΡΠΎΠ΄Ρ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠ΅ΠΎΡΠΈΠΈ ΠΌΠ°ΡΠΊΠΎΠ²ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ².ΠΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΏΡΠΈΠ½ΡΡΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡΒ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠ΅ΠΎΡΠΈΠΈ ΠΌΠ°ΡΠΊΠΎΠ²ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ², ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΠΈΡ
ΡΡΒ Π² ΡΠΈΠΊΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΌΠΎΠΌΠ΅Π½ΡΡ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, Ρ.Π΅. ΠΌΠ°ΡΠΊΠΎΠ²ΡΠΊΠΈΡ
ΡΠ΅ΠΏΠ΅ΠΉ.Β Π‘ΡΠΈΡΠ°Π΅ΡΡΡ, ΡΡΠΎ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΎΠΏΠΈΡΡΠ²Π°Π΅ΡΡΡ Π°Π±ΡΡΡΠ°ΠΊΡΠ½ΡΠΌΠΈ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡΠΌΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉΒ ΡΠΈΡΡΠ΅ΠΌΡ. Π’Π°ΠΊΠΎΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°ΡΡ ΠΏΡΠΎΡΠ΅ΡΡΡΒ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠ²ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΎΠ±ΡΠ°Π·ΠΎΠ² Π² ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅,Β Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΊΠ°ΠΊ Π²Π½ΡΡΡΠ΅Π½Π½Π΅ΠΉ Π»ΠΎΠ³ΠΈΠΊΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ,Β ΡΠ°ΠΊ ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ Ρ Π²Π½Π΅ΡΠ½ΠΈΠΌ ΠΌΠΈΡΠΎΠΌ. ΠΡΠ½ΠΎΠ²Π½ΠΎΠ΅Β Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅Β ΡΠΈΡΡΠ΅ΠΌΡ Π²Π½Π΅ΡΠ½ΠΈΡ
ΠΏΠΎ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΊ Π½Π΅ΠΉ ΡΡΠ²ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΎΠ±ΡΠ°Π·ΠΎΠ².Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΡΡΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΡΠ΅ΡΒ Π²Π½Π΅ΡΠ½ΠΈΡ
Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π΄ΠΎΡΡΠΈΠ³Π°Π΅ΡΡΡ Π²Π²Π΅Π΄Π΅Π½ΠΈΠ΅ΠΌ Π²Β ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΡ
Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ΅ΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΉΒ ΡΠΈΡΡΠ΅ΠΌΡ Π½Π° Π²Π½Π΅ΡΠ½ΠΈΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ. Π‘ ΡΡΠ΅ΡΠΎΠΌ Ρ
ΠΎΡΠΎΡΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠΉ ΡΠ΅ΠΎΡΠΈΠΈ ΠΌΠ°ΡΠΊΠΎΠ²ΡΠΊΠΈΡ
ΡΠ΅ΠΏΠ΅ΠΉ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅Β Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π΄Π»Ρ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ΅ΠΉ ΠΏΡΠ΅Π±ΡΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ Π² ΠΊΠ°ΠΆΠ΄ΠΎΠΌΒ ΠΈΠ· Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅Β ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΠΌΠ°ΡΡΠΈΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ΅ΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΉ ΡΠΈΡΡΠ΅ΠΌΡ,Β ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ Π³ΡΠ°ΡΠΈΠΊΠΈ. ΠΠ·ΡΡΠ΅Π½ΠΎ Π°ΡΠΈΠΌΠΏΡΠΎΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΡΠΈ Π½Π΅ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΠΎΠΌ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠΈΡΠΈΡΠ»Π° ΡΠ°Π³ΠΎΠ², ΠΈΠ·ΠΌΠ΅Π½ΡΡΡΠΈΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΠ΅Π΄Π½ΠΈΠ΅Β Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ.ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ, ΡΡΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠΎΡΠΌΠ°Π»ΡΠ½ΡΠΌ, ΠΎΠΏΠ΅ΡΠΈΡΡΠ΅Ρ ΡΠΎΠ»ΡΠΊΠΎ Ρ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ½ΡΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈΒ ΡΠΈΡΡΠ΅ΠΌΡ ΠΈ Π½Π΅ ΡΡΠΈΡΡΠ²Π°Π΅Ρ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΠ΅ ΡΠΈΠ³Π½Π°Π»Ρ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡΒ ΠΏΠΎΡΡΡΠΏΠ°ΡΡ Π² ΡΠΈΡΡΠ΅ΠΌΡ ΠΎΡ Π΅Π΅ Π΄Π°ΡΡΠΈΠΊΠΎΠ², ΡΠ΅Π½ΡΠΎΡΠΎΠ² ΠΈ Π²ΠΎΠΎΠ±ΡΠ΅ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ². Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅Β ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ ΠΎΡΠ΅Π½ΠΊΠΎΠΉ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ΅ΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΈΒ ΡΠΈΡΡΠ΅ΠΌΡ Π½Π° Π²Π½Π΅ΡΠ½ΠΈΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Ρ ΡΡΠ΅ΡΠΎΠΌ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΒ ΡΠΏΠΎΠΌΡΠ½ΡΡΡΡ
ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΎΠΉ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΎ Π½Π°Π»ΠΈΡΠΈΠΈ ΠΈΠ»ΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠΈ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠΉ Π½Π° ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΠΎΠΊΡΡΠΆΠ°ΡΡΠ΅Π³ΠΎ ΠΌΠΈΡΠ°
The dynamics of quasi-isometric foliations
If the stable, center, and unstable foliations of a partially hyperbolic
system are quasi-isometric, the system has Global Product Structure. This
result also applies to Anosov systems and to other invariant splittings.
If a partially hyperbolic system on a manifold with abelian fundamental group
has quasi-isometric stable and unstable foliations, the center foliation is
without holonomy. If, further, the system has Global Product Structure, then
all center leaves are homeomorphic.Comment: 18 pages, 1 figur
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