The paper deals with the study of tensor variational inequalities. and some projection methods to solve them. In particular, some properties on the solutions to such an inequality are established and a fixed point theorem is proved. Moreover, some numerical methods are introduced and the convergence analysis of them is investigated. All the theoretical results are applied to analyze a general oligopolistic market equilibrium problem in which each firm produces several commodities and has some production excesses since the equilibrium condition is characterized by means of a tensor variational inequality. A numerical example is also discussed.
Tensor variational inequalities: Theoretical results, numerical methods and applications to an economic equilibrium model / Barbagallo, A.; Guarino Lo Bianco, S.; Toraldo, G.. - In: JOURNAL OF NONLINEAR AND VARIATIONAL ANALYSIS. - ISSN 2560-6921. - 4:1(2020), pp. 87-105. [10.23952/jnva.4.2020.1.07]
Tensor variational inequalities: Theoretical results, numerical methods and applications to an economic equilibrium model
Guarino Lo Bianco S.;
2020
Abstract
The paper deals with the study of tensor variational inequalities. and some projection methods to solve them. In particular, some properties on the solutions to such an inequality are established and a fixed point theorem is proved. Moreover, some numerical methods are introduced and the convergence analysis of them is investigated. All the theoretical results are applied to analyze a general oligopolistic market equilibrium problem in which each firm produces several commodities and has some production excesses since the equilibrium condition is characterized by means of a tensor variational inequality. A numerical example is also discussed.File | Dimensione | Formato | |
---|---|---|---|
JNVA2020-1-7.pdf
Open access
Tipologia:
Versione pubblicata dall'editore
Dimensione
238.62 kB
Formato
Adobe PDF
|
238.62 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris