{"title":"The Problem of Verifying the Market Demand\nTheory","authors":"V. K. Gorbunov, A. G. Lvov","doi":"10.1134/S199047892402008X","DOIUrl":null,"url":null,"abstract":"<p> The aim of this paper is to acquaint applied mathematicians interested in the possibilities\nof applying methods for solving inverse problems in mathematical modeling in natural sciences and\nengineering to economic problems with our papers in this field. These papers refer to the problem\nof verifying the market demand theory, developed by the first author based on the revision of the\nunrealistic axiomatic neoclassical theory of individual demand within the framework of general\nscientific methodology. At the same time, the artificial object of individual theory—a\nrational and independent individual who maximizes his/her utility function—was replaced\nby a “statistical ensemble of consumers” of the market under study, and the postulates of\nindividual theory became scientific hypotheses of the new theory. The verification of this theory\nconsists in elucidating the question of rationalizing the statistical market demand by the collective\nutility function. This problem refers to the inverse problems of mathematical theories of real\nphenomena, which are usually ill posed and have many solutions. The solution of such problems\nconsists in their regularization with involvement of additional information about the desired\nsolution. Our method for verifying the market demand theory is a development of the\nnonparametric Afriat–Varian demand analysis with using “economic indices” of market demand as\nadditional information, which allows obtaining solutions with various substantive properties.\n</p>","PeriodicalId":607,"journal":{"name":"Journal of Applied and Industrial Mathematics","volume":"18 2","pages":"253 - 270"},"PeriodicalIF":0.5800,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied and Industrial Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S199047892402008X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of this paper is to acquaint applied mathematicians interested in the possibilities
of applying methods for solving inverse problems in mathematical modeling in natural sciences and
engineering to economic problems with our papers in this field. These papers refer to the problem
of verifying the market demand theory, developed by the first author based on the revision of the
unrealistic axiomatic neoclassical theory of individual demand within the framework of general
scientific methodology. At the same time, the artificial object of individual theory—a
rational and independent individual who maximizes his/her utility function—was replaced
by a “statistical ensemble of consumers” of the market under study, and the postulates of
individual theory became scientific hypotheses of the new theory. The verification of this theory
consists in elucidating the question of rationalizing the statistical market demand by the collective
utility function. This problem refers to the inverse problems of mathematical theories of real
phenomena, which are usually ill posed and have many solutions. The solution of such problems
consists in their regularization with involvement of additional information about the desired
solution. Our method for verifying the market demand theory is a development of the
nonparametric Afriat–Varian demand analysis with using “economic indices” of market demand as
additional information, which allows obtaining solutions with various substantive properties.
期刊介绍:
Journal of Applied and Industrial Mathematics is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.