RCIN and OZwRCIN projects

Object

Title: Proceedings of the 3rd Italian-Polish conference on applications of systems theory to economy, management and technology: Białowieża, Poland, May 26-31, 1976 * Systems theory of economic * The dynamic pareto's optimum and the Pontriagin-Krjvienkov's theory in planning of economic growth

Creator:

Gedymin, O.

Date issued/created:

1977

Resource type:

Text

Subtitle:

Książka = Book ; KS/1/1977/R02P03

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

[4], 192-204 pages ; 21 cm ; Bibliography p. 203-204

Type of object:

Book/Chapter

Abstract:

The following problem of planning economic growth with multiplicity of goals is the starting point of our considerations. In interval of the social reproduction process, considered in finite planning period (O, T), n different measurable economic goais are realized. They may be expressed as a vector, called the "generał economical activity goal" . The dynamie Pareto optimum is defined as the situation in which it is not possible to increase the degree of attainment of one goal without decreasing the degree of attainment of at least one of the other goals in the finał moment of planning period. If the stocks of n goods in moment T are the econoinical activity goals, the choice problem of optimal strategy of the economic growth can be formulated in foliowin gway : what conditions must be fulfilled to maximize the production of one good during the planning period (O, T) without decreasing stocks of the other goods below the given level in moment T. Our purpose may be formulated as the maximization problem of a Lagrange functional, where the boundary conditions are determined. The strategy which maximizes the functional is the optima! strategy in the sense of dynamie Pareto optimum. The necessary conditions for the maximum of this functional may be obtained from modified Pontriagin conditions. Beside the other conditions, they consist of differentia! equations describing the dynamics of the conjugate variables which may be treated as specific dual prices. Then the maximization of mentioned Lagrange functional with given boundary conditions may be treated as the maximization of weighted sum in interval (O, T;, where the weights are the dual prices in moment T, when the other conditions are fulfilled. lt may be proved that this problem is equivalent to the maximization of the hamiltonian which may be treated as the product ~income) · flow in every moment of planning interval; it is the weighted sum of current goals (particular good ftows) . We prove that the strategy maximizing the hamiltonian in every moment of planning period (O , T) is the strategy t1/hich corresponds to the dynamie Pareto optimum if only the weights in the hamiltonian arc the conjugate variables obtained from the Pontriagin conditions. The maximum of hamiltonian in given moment may be treated as a •s•tatic Pareto optimum in this moment.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:198245

Source:

KS-1977-01-R02P03

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open

Object collections:

Last modified:

Oct 15, 2021

In our library since:

Jul 19, 2021

Number of object content hits:

1

All available object's versions:

https://rcin.org.pl/publication/234564

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH