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    Π€ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ систСмы статистичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ создания ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

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    The analytical value of the complex system of statistical indicators characterizing the creation of value in the primary real estate market is determined by the sensitivity of the entire socio-economic sphere to the object of study, since it is the population, that is, the end user of this element of national accumulation, feels it as a factor of living standards, welfare, material potential and even as the possibility of obtaining passive income in the form of property rent.The secondary market of residential real estate, where a huge share of cash savings of the population turns out, is partly inferior in its importance to the primary market. This applies to the fact that the primary market is the relationship of the subjects about not only the movement, but also the creation of value. Thus, we are talking about the circulation of tangible assets, which are an integral part of the new, newly created gross domestic product, namely that part of it that is not consumed as part of final consumption, but represents gross capital formation – the accumulation of fixed capital.Purpose. Presentation of statistical methodology content, relating to the language of any statistical study – indicators, in this case the systematization and ordering of a comprehensive system of indicators of statistics of the creation of objects in the primary real estate market.Materials and methods. Since the article is of a methodological nature, it uses the methods of general scientific knowledge, synthesis, generalization of qualitative information, based objectively on Β dialectical unity with natural and special sciences, primarily engineering and construction, relating to the object of statistical research, and mathematical, concerning the methodological aspects of obtaining quantitative estimates of the statistical indicators.In the statistics of living standards of the population, considerable attention is paid to the level of consumer spending of households. These are, directly, monetary expenses per capita, specific indicators of retail trade turnover and payment for services. However, only the statistics of the primary market and the characteristics of the creation of new facilities can show the participation of the population in the financing of the growth of national wealth, that part of it, which is determined by the international methodology, as the accumulated property created by the work of current and previous generations.It should be noted that the statistical analysis of the primary real estate market and the complex processes of creating objects that turn on it, is associated with a certain Russian paradox: a large-scale information attack, which is subjected to the domestic society, says about the reduction in recent years the standard of living of the population on various parameters, including the range and quantity of food consumption; at the same time, the volume of the area entered and realized in the primary real estate market, exactly, as well as the prices for it, grow uncontrollably that indicates inexhaustible solvent demand of the population for the acquired objects of long-term use.Results. In the research paper the information sources are ordered, the blocks of statistical indicators are consistently built, allowing to obtain both primary and generalized characteristics of the commissioning of primary objects related to both housing directly and to communication facilities that provide residential functionality of the results of construction and the entire residential infrastructure.Conclusion. The article deals with the analytical potential of indicators along with the prospects of their further application and the possibility of further improvement of statistical methodology and improving the quality of research of such a complex object as the primary real estate market.АналитичСская Ρ†Π΅Π½Π½ΠΎΡΡ‚ΡŒ комплСксной систСмы статистичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΡ… созданиС стоимости Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости, опрСдСляСтся Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΡŽ всСй ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСской сфСры ΠΈΠΌΠ΅Π½Π½ΠΎ ΠΊ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Ρƒ исслСдования, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ ΠΈΠΌΠ΅Π½Π½ΠΎ насСлСниС, Ρ‚ΠΎ Π΅ΡΡ‚ΡŒ ΠΊΠΎΠ½Π΅Ρ‡Π½Ρ‹ΠΉ ΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒ этого элСмСнта Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ накоплСния, ΠΎΡ‰ΡƒΡ‰Π°Π΅Ρ‚ Π΅Π³ΠΎ Π½Π° сСбС ΠΊΠ°ΠΊ Ρ„Π°ΠΊΡ‚ΠΎΡ€ ΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠ³ΠΎ уровня, благосостояния, ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»Π° ΠΈ, Π΄Π°ΠΆΠ΅, ΠΊΠ°ΠΊ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ получСния пассивного Π΄ΠΎΡ…ΠΎΠ΄Π° Π² Π²ΠΈΠ΄Π΅ имущСствСнной Ρ€Π΅Π½Ρ‚Ρ‹.Π’Ρ‚ΠΎΡ€ΠΈΡ‡Π½Ρ‹ΠΉ Ρ€Ρ‹Π½ΠΎΠΊ ΠΆΠΈΠ»ΠΎΠΉ нСдвиТимости, Π³Π΄Π΅ оборачиваСтся огромная доля Π΄Π΅Π½Π΅ΠΆΠ½Ρ‹Ρ… Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΠΉ насСлСния, отчасти уступаСт своСй Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌΡƒ Ρ€Ρ‹Π½ΠΊΡƒ. Π­Ρ‚ΠΎ касаСтся Ρ‚ΠΎΠ³ΠΎ ΠΎΠ±ΡΡ‚ΠΎΡΡ‚Π΅Π»ΡŒΡΡ‚Π²Π°, Ρ‡Ρ‚ΠΎ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹ΠΉ Ρ€Ρ‹Π½ΠΎΠΊ прСдставляСт собой ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΏΠΎ ΠΏΠΎΠ²ΠΎΠ΄Ρƒ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ двиТСния, Π½ΠΎ ΠΈ создания стоимости. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Ρ‘Ρ‚ ΠΎΠ± ΠΎΠ±Ρ€Π°Ρ‰Π΅Π½ΠΈΠΈ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΡΠ²Π»ΡΡŽΡ‚ΡΡ составной Ρ‡Π°ΡΡ‚ΡŒΡŽ Π½ΠΎΠ²ΠΎΠ³ΠΎ, вновь созданного Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅Π³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π°, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ Ρ‚ΠΎΠΉ Π΅Π³ΠΎ части, которая Π½Π΅ потрСбляСтся Π² составС ΠΊΠΎΠ½Π΅Ρ‡Π½ΠΎΠ³ΠΎ потрСблСния, Π° прСдставляСт собой Π²Π°Π»ΠΎΠ²ΠΎΠ΅ ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ – Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΠ΅ основного ΠΊΠ°ΠΏΠΈΡ‚Π°Π»Π°.ЦСль: Π”Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠ΅Π΅ раскрытиС ΡΠΎΠ΄Π΅Ρ€ΠΆΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ части статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΊΠ°ΡΠ°ΡŽΡ‰Π΅ΠΉΡΡ языка любого статистичСского исслСдования – ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Π² Π΄Π°Π½Π½ΠΎΠΌ случаС – систСматизации ΠΈ упорядочСния комплСксной систСмы ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ статистики создания ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠŸΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ ΡΡ‚Π°Ρ‚ΡŒΡ носит мСтодологичСский Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€, Π² Π½Π΅ΠΉ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ ΠΎΠ±Ρ‰Π΅Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ познания, синтСза, обобщСния качСствСнной ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ, Π±Π°Π·ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠ΅ΡΡ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΠΎ Π½Π° диалСктичСском СдинствС с СстСствСнными ΠΈ ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ Π½Π°ΡƒΠΊΠ°ΠΌΠΈ, Π² ΠΏΠ΅Ρ€Π²ΡƒΡŽ ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ – ΠΈΠ½ΠΆΠ΅Π½Π΅Ρ€Π½ΠΎ-ΡΡ‚Ρ€ΠΎΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌΠΈ, ΠΊΠ°ΡΠ°ΡŽΡ‰ΠΈΠΌΠΈΡΡ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° статистичСского исслСдования, ΠΈ матСматичСскими, ΠΊΠ°ΡΠ°ΡŽΡ‰ΠΈΠΌΠΈΡΡ мСтодичСских аспСктов получСния количСствСнных ΠΎΡ†Π΅Π½ΠΎΠΊ рассматриваСмых статистичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ.Π’ статистикС уровня ΠΆΠΈΠ·Π½ΠΈ насСлСния сущСствСнноС Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ удСляСтся ΡƒΡ€ΠΎΠ²Π½ΡŽ ΠΏΠΎΡ‚Ρ€Π΅Π±ΠΈΡ‚Π΅Π»ΡŒΡΠΊΠΈΡ… расходов Π΄ΠΎΠΌΠ°ΡˆΠ½ΠΈΡ… хозяйств. Π­Ρ‚ΠΎ ΠΈ, нСпосрСдствСнно, Π΄Π΅Π½Π΅ΠΆΠ½Ρ‹Π΅ расходы Π½Π° Π΄ΡƒΡˆΡƒ насСлСния, ΡƒΠ΄Π΅Π»ΡŒΠ½Ρ‹Π΅ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Ρ€ΠΎΠ·Π½ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ‚ΠΎΠ²Π°Ρ€ΠΎΠΎΠ±ΠΎΡ€ΠΎΡ‚Π° ΠΈ ΠΎΠΏΠ»Π°Ρ‚Ρ‹ услуг. Однако, Ρ‚ΠΎΠ»ΡŒΠΊΠΎ статистика ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° ΠΈ характСристика создания Π½ΠΎΠ²Ρ‹Ρ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΌΠΎΠΆΠ΅Ρ‚ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚ΡŒ участиС насСлСния Π² финансировании прироста Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ богатства, Ρ‚ΠΎΠΉ Π΅Π³ΠΎ части, которая опрСдСляСтся ΠΏΠΎ ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΊΠ°ΠΊ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½ΠΎΠ΅ имущСство, созданноС Ρ‚Ρ€ΡƒΠ΄ΠΎΠΌ Π½Ρ‹Π½Π΅ΡˆΠ½Π΅Π³ΠΎ ΠΈ ΠΏΡ€Π΅Π΄Ρ‹Π΄ΡƒΡ‰ΠΈΡ… ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΠΉ.ΠžΡ‚ΠΌΠ΅Ρ‚ΠΈΠΌ, Ρ‡Ρ‚ΠΎ статистичСский Π°Π½Π°Π»ΠΈΠ· Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости ΠΈ слоТных процСссов создания ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΎΠ±Ρ€Π°Ρ‰Π°ΡŽΡ‚ΡΡ Π½Π° Π½Ρ‘ΠΌ, сопряТён с ΠΎΠΏΡ€Π΅Π΄Π΅Π»Ρ‘Π½Π½Ρ‹ΠΌ российским парадоксом: ΠΌΠ°ΡΡˆΡ‚Π°Π±Π½Π°Ρ информационная Π°Ρ‚Π°ΠΊΠ°, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ подвСргаСтся отСчСствСнный социум, гласит ΠΎ сниТСнии Π·Π° послСдниС Π³ΠΎΠ΄Ρ‹ ΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠ³ΠΎ уровня насСлСния ΠΏΠΎ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌ, Π² Ρ‚ΠΎΠΌ числС ΠΏΠΎ ассортимСнту ΠΈ количСству потрСблСния ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² питания; ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ, объСм Π²Π²ΠΎΠ΄ΠΈΠΌΠΎΠΉ ΠΈ Ρ€Π΅Π°Π»ΠΈΠ·ΡƒΠ΅ΠΌΠΎΠΉ Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΈ, Ρ€ΠΎΠ²Π½ΠΎ, ΠΊΠ°ΠΊ ΠΈ Ρ†Π΅Π½Ρ‹ Π½Π° Π½Π΅Ρ‘, растут Π½Π΅ΡƒΠ΄Π΅Ρ€ΠΆΠΈΠΌΠΎ, Ρ‡Ρ‚ΠΎ ΡƒΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ Π½Π° нСиссякаСмый платёТСспособный спрос насСлСния Π½Π° ΠΏΡ€ΠΈΠΎΠ±Ρ€Π΅Ρ‚Π°Π΅ΠΌΡ‹Π΅ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Ρ‹ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ пользования.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠ΅ упорядочСны ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ источники, ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ выстроСны Π±Π»ΠΎΠΊΠΈ статистичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΠ΅ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΡ‚ΡŒ, ΠΊΠ°ΠΊ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΡƒΡŽ, Ρ‚Π°ΠΊ ΠΈ ΠΎΠ±ΠΎΠ±Ρ‰Ρ‘Π½Π½ΡƒΡŽ характСристику Π²Π²ΠΎΠ΄Π° Π² дСйствиС ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹Ρ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ², относимых, ΠΊΠ°ΠΊ ΠΊ Тилью нСпосрСдствСнно, Ρ‚Π°ΠΊ ΠΈ ΠΊ ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹ΠΌ сооруТСниям, ΠΎΠ±Π΅ΡΠΏΠ΅Ρ‡ΠΈΠ²Π°ΡŽΡ‰ΠΈΠΌ ΠΆΠΈΠ»ΠΎΠΉ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π» Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΡΡ‚Ρ€ΠΎΠΈΡ‚Π΅Π»ΡŒΡΡ‚Π²Π° ΠΈ всСй ΠΆΠΈΠ»ΠΎΠΉ инфраструктуры.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ аналитичСский ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π» ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ наряду с пСрспСктивами ΠΈΡ… дальнСйшСго примСнСния ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒΡŽ дальнСйшСго ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡ качСства исслСдований ΡΡ‚ΠΎΠ»ΡŒ слоТного ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° ΠΊΠ°ΠΊ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹ΠΉ Ρ€Ρ‹Π½ΠΎΠΊ нСдвиТимости

    ΠŸΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ статистичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² для ΠΎΡ†Π΅Π½ΠΊΠΈ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ²

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    The article is devoted to consideration and evaluation of machinery, equipment and special equipment, methodological aspects of the use of standards for assessment of buildings and structures in current prices, the valuation of residential, specialized houses, office premises, assessment and reassessment of existing and inactive military assets, the application of statistical methods to obtain the relevant cost estimates.The objective of the scientific article is to consider possible application of statistical tools in the valuation of the assets, composing the core group of elements of national wealth – the fixed assets. Firstly, capital tangible assets constitute the basis of material base of a new value creation, products and non-financial services. The gain, accumulated of tangible assets of a capital nature is a part of the gross domestic product, and from its volume and specific weight in the composition of GDP we can judge the scope of reproductive processes in the country.Based on the methodological materials of the state statistics bodies of the Russian Federation, regulations of the theory of statistics, which describe the methods of statistical analysis such as the index, average values, regression, the methodical approach is structured in the application of statistical tools to obtain value estimates of property, plant and equipment with significant accumulated depreciation. Until now, the use of statistical methodology in the practice of economic assessment of assets is only fragmentary. This applies to both Federal Legislation (Federal law β„– 135 Β«On valuation activities in the Russian FederationΒ» dated 16.07.1998 in edition 05.07.2016) and the methodological documents and regulations of the estimated activities, in particular, the valuation activities’ standards. A particular problem is the use of a digital database of Rosstat (Federal State Statistics Service), as to the specific fixed assets the comparison should be carried out precisely in the boundary of the typological group to which the object is identified.The rationale for the comprehensive application of statistical methods in the implementation of cost and comparative approaches in the assessment of economic assets, practical component, are a primary result of scientific research. It is not enough to use methodological developments in the assessment activities in modern conditions of market development and scientific and technical level for the large-scale evaluation of all available material resources of the economy and their total potential. The application of mathematical-statistical apparatus, therefore, is an objective necessity for obtaining general indicators of the size of the national wealth.In conclusion, we can mention about the methodical approaches, the building of model algorithms application of statistical methods in solving scientific and practical problems, depending on the identification belonging of the valued objects. It is premature to talk about the formalization of the application of statistical methods, the results of which would be transformed into a сertain reporting. It requires the solution of a question on the fixed assets’ census at least at the level of regions, subjects of the Russian Federation.ΠŸΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΠ°Ρ ΡΡ‚Π°Ρ‚ΡŒΡ посвящСна ΡƒΡ‡Π΅Ρ‚Ρƒ ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ΅ машин, оборудования ΠΈ ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ Ρ‚Π΅Ρ…Π½ΠΈΠΊΠΈ, мСтодологичСским аспСктам примСнСния, ΠΊΠ°ΠΊ Π½ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΎΠΉ Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΈ для ΠΎΡ†Π΅Π½ΠΊΠΈ Π·Π΄Π°Π½ΠΈΠΉ ΠΈ сооруТСний Π² Ρ‚Π΅ΠΊΡƒΡ‰ΠΈΡ… Ρ†Π΅Π½Π°Ρ…, ΠΎΡ†Π΅Π½ΠΊΠ΅ ΠΆΠΈΠ»Ρ‹Ρ…, спСциализированных Π΄ΠΎΠΌΠΎΠ², слуТСбных ΠΆΠΈΠ»Ρ‹Ρ… ΠΏΠΎΠΌΠ΅Ρ‰Π΅Π½ΠΈΠΉ, ΠΎΡ†Π΅Π½ΠΊΠ΅ ΠΈ ΠΏΠ΅Ρ€Π΅ΠΎΡ†Π΅Π½ΠΊΠ΅ Π΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΠΈ законсСрвированных Π²ΠΎΠ΅Π½Π½Ρ‹Ρ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² основных срСдств, Ρ‚Π°ΠΊ примСнСния статистичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² для получСния ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… стоимостных ΠΎΡ†Π΅Π½ΠΎΠΊ. ЦСль Π½Π°ΡƒΡ‡Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ вязана с рассмотрСниСм возмоТностСй примСнСния статистичСского инструмСнтария Π² стоимостной ΠΎΡ†Π΅Π½ΠΊΠ΅ Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΡΠ»Π°Π³Π°ΡŽΡ‰ΠΈΡ… ΠΊΠ»ΡŽΡ‡Π΅Π²ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡƒ элСмСнтов Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ богатства – основных срСдств. ИмСнно ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΡŒΠ½Ρ‹Π΅ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ Π°ΠΊΡ‚ΠΈΠ²Ρ‹ ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡŽΡ‚ собой основу ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎ-тСхничСской Π±Π°Π·Ρ‹ создания Π½ΠΎΠ²ΠΎΠΉ стоимости – Π² ΠΏΠ΅Ρ€Π²ΡƒΡŽ ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² ΠΈ нСфинансовых услуг. ΠŸΡ€ΠΈΡ€ΠΎΡΡ‚ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½Ρ‹Ρ… ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ² ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π° составляСт Ρ‡Π°ΡΡ‚ΡŒ Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅Π³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π°, ΠΈ ΠΎΡ‚ Π΅Π³ΠΎ объСма ΠΈ ΡƒΠ΄Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ вСса Π² составС Π’Π’Π’ ΠΌΠΎΠΆΠ½ΠΎ ΡΡƒΠ΄ΠΈΡ‚ΡŒ ΠΎ ΠΌΠ°ΡΡˆΡ‚Π°Π±Π°Ρ… воспроизводствСнных процСссов Π² странС.ΠžΡΠ½ΠΎΠ²Ρ‹Π²Π°ΡΡΡŒ Π½Π° мСтодологичСских ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π°Ρ… ΠΎΡ€Π³Π°Π½ΠΎΠ² государствСнной статистики Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ, полоТСниях Ρ‚ΠΎΡ€ΠΈΠΈ статистики, Π² ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Ρ‘Ρ‚ ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°Ρ… статистичСского Π°Π½Π°Π»ΠΈΠ·Π°, Ρ‚Π°ΠΊΠΈΡ… ΠΊΠ°ΠΊ индСксный, срСдних Π²Π΅Π»ΠΈΡ‡ΠΈΠ½, рСгрСссии, выстроСн мСтодичСский ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ примСнСния статистичСского инструмСнтарии для получСния стоимостных ΠΎΡ†Π΅Π½ΠΎΠΊ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² основных срСдств, ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΡ… Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½Ρ‹ΠΉ износ. Π”ΠΎ сих ΠΏΠΎΡ€ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅ ΠΎΡ†Π΅Π½ΠΊΠΈ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ² носит лишь Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚Π°Ρ€Π½Ρ‹ΠΉ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€. Π­Ρ‚ΠΎ касаСтся ΠΊΠ°ΠΊ Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π° (Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½Ρ‹ΠΉ Π·Π°ΠΊΠΎΠ½ β„– 135 «Об ΠΎΡ†Π΅Π½ΠΎΡ‡Π½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π² Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈΒ» ΠΎΡ‚ 16.07.1998 Π³. Π² Ρ€Π΅Π΄Π°ΠΊΡ†ΠΈΠΈ 05.07.2016 Π³.), Ρ‚Π°ΠΊ ΠΈ мСтодологичСских Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚ΠΎΠ² ΠΈ Ρ€Π΅Π³Π»Π°ΠΌΠ΅Π½Ρ‚ΠΎΠ² ΠΎΡ†Π΅Π½ΠΎΡ‡Π½ΠΎ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ, Π² частности, Π‘Ρ‚Π°Π½Π΄Π°Ρ€Ρ‚Ρ‹ ΠΎΡ†Π΅Π½ΠΎΡ‡Π½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ. ΠžΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½ΡƒΡŽ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡƒ прСдставляСт собой использованиС Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ Π±Π°Π·Ρ‹ Росстата, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΊ ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½Ρ‹ΠΌ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°ΠΌ основных срСдств, сравнСниС Π΄ΠΎΠ»ΠΆΠ½ΠΎ Π²Π΅ΡΡ‚ΠΈΡΡŒ ΠΈΠΌΠ΅Π½Π½ΠΎ Π² Π³Ρ€Π°Π½ΠΈΡ†Π°Ρ… Ρ‚ΠΎΠΉ типологичСской Π³Ρ€ΡƒΠΏΠΏΡ‹, ΠΊ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ идСнтифицируСтся Π΄Π°Π½Π½Ρ‹ΠΉ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚.ОбоснованиС комплСксного примСнСния статистичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΏΡ€ΠΈ Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Π·Π°Ρ‚Ρ€Π°Ρ‚Π½ΠΎΠ³ΠΎ ΠΈ ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² Π² ΠΎΡ†Π΅Π½ΠΊΠ΅ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², практичСская ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‰Π°Ρ, Π²Ρ‹ΡΡ‚ΡƒΠΏΠ°ΡŽΡ‚ основным Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠΌ Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ исслСдования. ΠžΠ΄Π½ΠΈΡ… Ρ‚ΠΎΠ»ΡŒΠΊΠΎ мСтодичСских Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΎΠΊ Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΎΡ†Π΅Π½ΠΎΡ‡Π½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ нСдостаточно Π² соврСмСнных условиях развития Ρ€Ρ‹Π½ΠΊΠ° ΠΈ Π½Π°ΡƒΡ‡Π½ΠΎ-тСхничСского уровня для ΠΌΠ°ΡΡˆΡ‚Π°Π±Π½ΠΎΠΉ ΠΎΡ†Π΅Π½ΠΊΠΈ всСх ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΡ…ΡΡ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… рСсурсов экономики ΠΈ ΠΈΡ… совокупного ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»Π°. ΠŸΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΎ-статистичСского Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π°, Ρ‚Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, являСтся ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ для получСния ΠΎΠ±ΠΎΠ±Ρ‰Π°ΡŽΡ‰ΠΈΡ… ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ Ρ€Π°Π·ΠΌΠ΅Ρ€ΠΎΠ² Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ богатства страны.Π’ Π·Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠΈ слСдуСт ΠΎΡ‚ΠΌΠ΅Ρ‚ΠΈΡ‚ΡŒ, Ρ‡Ρ‚ΠΎ Ρ€Π΅Ρ‡ΡŒ ΠΌΠΎΠΆΠ΅Ρ‚ ΠΈΠ΄Ρ‚ΠΈ ΠΎ мСтодичСских ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π°Ρ…, выстраивании Ρ‚ΠΈΠΏΠΎΠ²Ρ‹Ρ… Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² примСнСния статистичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΏΡ€ΠΈ Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΈ ΠΎΠ±ΠΎΠ·Π½Π°Ρ‡Π΅Π½Π½ΠΎΠΉ Π½Π°ΡƒΡ‡Π½ΠΎ-практичСской ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹, Π² зависимости ΠΎΡ‚ ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ принадлСТности ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π΅ΠΌΡ‹Ρ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ². Π“ΠΎΠ²ΠΎΡ€ΠΈΡ‚ΡŒ ΠΎ Ρ„ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ примСнСния статистичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ Ρ‚Ρ€Π°Π½ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π»ΠΈΡΡŒ Π±Ρ‹, Π½Π΅ΠΊΡƒΡŽ ΠΎΡ‚Ρ‡Π΅Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ. Для этого Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ вопроса ΠΎ пСрСписи основных срСдств, хотя Π±Ρ‹ Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² – ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ

    Optoacoustic solitons in Bragg gratings

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    Optical gap solitons, which exist due to a balance of nonlinearity and dispersion due to a Bragg grating, can couple to acoustic waves through electrostriction. This gives rise to a new species of ``gap-acoustic'' solitons (GASs), for which we find exact analytic solutions. The GAS consists of an optical pulse similar to the optical gap soliton, dressed by an accompanying phonon pulse. Close to the speed of sound, the phonon component is large. In subsonic (supersonic) solitons, the phonon pulse is a positive (negative) density variation. Coupling to the acoustic field damps the solitons' oscillatory instability, and gives rise to a distinct instability for supersonic solitons, which may make the GAS decelerate and change direction, ultimately making the soliton subsonic.Comment: 5 pages, 3 figure

    Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° статистичСских классификаций для изучСния содСрТания ΠΈ структуры ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

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    Statistical study of the primary real estate market is always associated with the problem that the object is in a constant, and very intense change, both in quantitative terms and in its internal content. Therefore, the issues of constant adaptation of statistical methodology in relation to the primary real estate market are relevant continuously. Among the tasks that are constantly in the field of statistical science and practice in relation to the primary real estate market are the following. First, a critical analysis of the content of the modern primary real estate market, which should allow to identify its fundamental features as an object of statistical research, to systematize the economic relations of the subjects of this market segment for a comprehensive statistical analysis of its functioning and development in any region of Russia. Secondly, it is the construction of analytical classifications of the primary real estate market, systematization of criteria for their construction, which should allow for a qualitative analysis of the structure of this market segment in the modern market economy. Third, the continuous improvement of the system of statistical indicators of the primary real estate market, whichΒ should be constantly supplemented by various blocks of indicators, the use of which will link the development of the primary real estate market with indicators of the standard of living of the population and socio-economic development of a particular region on the basis of the formation and ordering of its various subsystems, which will increase their consistency with indicators of living standards and socio-economic development. To Develop the theory and statistical methodology of the complex study of the primary real estate market in terms of the development of criteria for the division of the object into homogeneous groups by typological characteristics and the construction on their basis of statistical classifications necessary for the structural analysis of the primary real estate market. To obtain scientific results in this article, General scientific methods of cognition, such as scientific abstraction, analysis and synthesis, are used, since it is a question of dividing a single whole into typologically homogeneous complexes, the organic relationship between which ensures the integrity and unity of the studied object – the primary real estate market. In addition, the use of the statistical grouping method is considered throughout the work, as it is an applied application of typological criteria. The main classification features of economic assets traded in the primary real estate market of the region are Substantiated and formulated. The development of criteria for the typological division of the object allowed to build statistical classifications necessary for a comprehensive analysis of the structure and structural changes in the primary real estate market. In the scientific article deals with the problematic aspects of a statistical study of the primary real estate market in parts of its etymology on the basis of clear criteria against which to understand the quality and properties of the traded on its economic assets, to build a statistical classification. All this is a step in the first stage of the statistical study in the sequence that is classically considered by the General theory of statistics. Statistical classifications and groupings by typological features precede the science-intensive substantiation and application of complex mathematical and static methods for factor analysis and forecasting of primary real estate market indicators.БтатистичСскоС ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости всСгда сопряТСно с Ρ‚ΠΎΠΉ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΎΠΉ, Ρ‡Ρ‚ΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ находится Π² постоянном, ΠΏΡ€ΠΈΡ‡Ρ‘ΠΌ вСсьма интСнсивном ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΈ, ΠΊΠ°ΠΊ Π² количСствСнном аспСктС, Ρ‚Π°ΠΊ ΠΈ Π² своём Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅ΠΌ содСрТании. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ ΠΈ вопросы постоянной Π°Π΄Π°ΠΏΡ‚Π°Ρ†ΠΈΠΈ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ Π½Π΅ΠΏΡ€Π΅Ρ€Ρ‹Π²Π½ΠΎ. Π‘Ρ€Π΅Π΄ΠΈ Π·Π°Π΄Π°Ρ‡, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ постоянно находятся Π² ΠΏΠΎΠ»Π΅ статистичСской Π½Π°ΡƒΠΊΠΈ ΠΈ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости ΠΌΠΎΠΆΠ½ΠΎ Π²Ρ‹Π΄Π΅Π»ΠΈΡ‚ΡŒ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠ΅. Π’ΠΎ-ΠΏΠ΅Ρ€Π²Ρ‹Ρ…, ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ критичСского Π°Π½Π°Π»ΠΈΠ·Π° содСрТания соврСмСнного Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости, Ρ‡Ρ‚ΠΎ Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ΡŒ Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Π΅Π³ΠΎ ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ особСнности ΠΊΠ°ΠΊ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° статистичСского исслСдования, ΡΠΈΡΡ‚Π΅ΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ экономичСскиС связи ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π΄Π°Π½Π½ΠΎΠ³ΠΎ сСгмСнта Ρ€Ρ‹Π½ΠΊΠ° для провСдСния комплСксного статистичСского Π°Π½Π°Π»ΠΈΠ·Π° Π΅Π³ΠΎ функционирования ΠΈ развития Π² любом Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ России. Π’ΠΎ-Π²Ρ‚ΠΎΡ€Ρ‹Ρ…, это построСниС аналитичСских классификаций ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости, систСматизация ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² ΠΈΡ… построСния, Ρ‡Ρ‚ΠΎ Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ΡŒ провСсти качСствСнный Π°Π½Π°Π»ΠΈΠ· структуры Π΄Π°Π½Π½ΠΎΠ³ΠΎ сСгмСнта Ρ€Ρ‹Π½ΠΊΠ° Π² соврСмСнных условиях Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠΉ экономики. Π’-Ρ‚Ρ€Π΅Ρ‚ΡŒΠΈΡ…, постоянноС ΡƒΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΠ΅ систСмы статистичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости, которая постоянно Π΄ΠΎΠ»ΠΆΠ½Π° Π΄ΠΎΠΏΠΎΠ»Π½ΡΡ‚ΡŒΡΡ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ Π±Π»ΠΎΠΊΠ°ΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ ΡƒΠ²ΡΠ·Π°Ρ‚ΡŒ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости с показатСлями уровня ΠΆΠΈΠ·Π½ΠΈ насСлСния ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½ΠΎΠ³ΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π° Π½Π° основС формирования ΠΈ упорядочСния Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π΅Π΅ подсистСм, Ρ‡Ρ‚ΠΎ повысит ΠΈΡ… ΡΠΎΠ³Π»Π°ΡΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ с показатСлями уровня ΠΆΠΈΠ·Π½ΠΈ ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития. ЦСль: Π Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Ρ‚Π΅ΠΎΡ€ΠΈΠΈ ΠΈ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ комплСксного изучСния ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π² части Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² раздСлСния ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° Π½Π° ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΏΠΎ типологичСским ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ ΠΈ построСниС Π½Π° ΠΈΡ… основС статистичСских классификаций, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹Ρ… для структурного Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: Для получСния Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ ΠΎΠ±Ρ‰Π΅Π½Π°ΡƒΡ‡Π½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ познания, Ρ‚Π°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ научная абстракция, Π°Π½Π°Π»ΠΈΠ· ΠΈ синтСз, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Π΅Ρ‚ ΠΎ Ρ€Π°Π·Π±ΠΈΠ΅Π½ΠΈΠΈ Π΅Π΄ΠΈΠ½ΠΎΠ³ΠΎ Ρ†Π΅Π»ΠΎΠ³ΠΎ Π½Π° типологичСски ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ совокупности, органичная взаимосвязь ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌΠΈ ΠΈ обСспСчиваСт Ρ†Π΅Π»ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒ ΠΈ Сдинство ΠΈΠ·ΡƒΡ‡Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° – ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, Π½Π° протяТСнии всСй Ρ€Π°Π±ΠΎΡ‚Ρ‹ рассматриваСтся использованиС статистичСского ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΎΠΊ, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Π΅Ρ‚ ΠΎ ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½ΠΎΠΌ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ типологичСских ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² формирования Π΅Π΄ΠΈΠ½ΠΈΡ† наблюдСния Π² ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: ΠžΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ‹ ΠΈ сформулированы основныС классификационныС ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΎΠ±Ρ€Π°Ρ‰Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости Ρ€Π΅Π³ΠΈΠΎΠ½Π°. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² типологичСского раздСлСния ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ статистичСскиС классификации, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹Π΅ для всСстороннСго ΡΠΎΠ΄Π΅Ρ€ΠΆΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° структуры ΠΈ структурных сдвигов Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: Π’ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассмотрСны ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ½Ρ‹Π΅ аспСкты статистичСского изучСния ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π² части Π΅Π³ΠΎ этимологизации Π½Π° основС Ρ‡Ρ‘Ρ‚ΠΊΠΈΡ… ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π², ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΡ… ΠΏΠΎΠ½ΡΡ‚ΡŒ качСство ΠΈ свойства ΠΎΠ±Ρ€Π°Ρ‰Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π½Π° Π½Π΅ΠΌ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ статистичСскиС классификации. Всё это являСтся шагом Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ этапа статистичСского исслСдования Π² Ρ‚ΠΎΠΉ Π΅Π³ΠΎ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ, которая классичСски рассматриваСтся ΠΎΠ±Ρ‰Π΅ΠΉ Ρ‚Π΅ΠΎΡ€ΠΈΠ΅ΠΉ статистики. БтатистичСскиС классификации ΠΈ Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΊΠΈ ΠΏΠΎ типологичСским ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ ΠΏΡ€Π΅Π΄ΡˆΠ΅ΡΡ‚Π²ΡƒΡŽΡ‚ Π½Π°ΡƒΠΊΠΎΠ΅ΠΌΠΊΠΎΠΌΡƒ обоснованию ΠΈ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡŽ слоТных ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΎ-статичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² для провСдСния Ρ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ прогнозирования ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

    Theory of modulational instability in Bragg gratings with quadratic nonlinearity

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    Modulational instability in optical Bragg gratings with a quadratic nonlinearity is studied. The electric field in such structures consists of forward and backward propagating components at the fundamental frequency and its second harmonic. Analytic continuous wave (CW) solutions are obtained, and the intricate complexity of their stability, due to the large number of equations and number of free parameters, is revealed. The stability boundaries are rich in structures and often cannot be described by a simple relationship. In most cases, the CW solutions are unstable. However, stable regions are found in the nonlinear Schrodinger equation limit, and also when the grating strength for the second harmonic is stronger than that of the first harmonic. Stable CW solutions usually require a low intensity. The analysis is confirmed by directly simulating the governing equations. The stable regions found have possible applications in second-harmonic generation and dark solitons, while the unstable regions maybe useful in the generation of ultrafast pulse trains at relatively low intensities. [S1063-651X(99)03005-6]

    Theory of multidimensional parametric band-gap simultons

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    Multidimensional spatiotemporal parametric simultons (simultaneous solitary waves) are possible in a nonlinear chi((2)) medium with a Bragg grating structure, where large effective dispersion occurs near two resonant band gaps for the carrier and second-harmonic field, respectively. The enhanced dispersion allows much reduced interaction lengths, as compared to bulk medium parametric simultons. The nonlinear parametric band-gap medium permits higher-dimensional stationary waves to form. In addition, solitons can occur with lower input powers than conventional nonlinear Schrodinger equation gap solitons. In this paper, the equations for electromagnetic propagation in a grating structure with a parametric nonlinearity are derived from Maxwell's equation using a coupled mode Hamiltonian analysis in one, two, and three spatial dimensions. Simultaneous solitary wave solutions are proved to exist by reducing the equations to the coupled equations describing a nonlinear parametric waveguide, using the effective-mass approximation (EMA). Exact one-dimensional numerical solutions in agreement with the EMA solutions are also given. Direct numerical simulations show that the solutions have similar types of stability properties to the bulk case, providing the carrier waves are tuned to the two Bragg resonances, and the pulses have a width in frequency space less than the band gap. In summary, these equations describe a physically accessible localized nonlinear wave that is stable in up to 3 + 1 dimensions. Possible applications include photonic logic and switching devices. [S1063-651X(98)06109-1]

    Electrically stimulated light-induced second-harmonic generation in glass: evidence of coherent photoconductivity

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    A strong electrostatic field applied to glass is spatially modulated by intense light at frequencies Ο‰ and 2Ο‰. The phenomenon is explained in terms of photoconductivity being dependent on the relative phase of the light fields at different frequencies
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