Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the Market

The impact of inaccurate demand beliefs on dynamics of a Triopoly game is studied. We suppose that all the players make their own estimations on possible demand with errors. A dynamic Triopoly game with such demand belief is set up. Based on this model, existence and local stable region of the equil...

Full description

Bibliographic Details
Main Authors: Junhai Ma, Lijian Sun, Xueli Zhan
Format: Article
Language:English
Published: Hindawi-Wiley 2017-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2017/5434680
id doaj-3b39ac777137464fba59c4c341f52ecc
record_format Article
spelling doaj-3b39ac777137464fba59c4c341f52ecc2020-11-25T02:25:53ZengHindawi-WileyComplexity1076-27871099-05262017-01-01201710.1155/2017/54346805434680Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the MarketJunhai Ma0Lijian Sun1Xueli Zhan2College of Management and Economics, Tianjin University, Tianjin 300072, ChinaCollege of Management and Economics, Tianjin University, Tianjin 300072, ChinaSchool of Economics, Beijing Wuzi University, Beijing 101149, ChinaThe impact of inaccurate demand beliefs on dynamics of a Triopoly game is studied. We suppose that all the players make their own estimations on possible demand with errors. A dynamic Triopoly game with such demand belief is set up. Based on this model, existence and local stable region of the equilibriums are investigated by 3D stable regions of Nash equilibrium point. The complex dynamics, such as bifurcation scenarios and route to chaos, are displayed in 2D bifurcation diagrams, in which e1 and α are negatively related to each other. Basins of attraction are investigated and we found that the attraction domain becomes smaller with the increase in price modification speed, which indicates that all the players’ output must be kept within a certain range so as to keep the system stable. Feedback control method is used to keep the system at an equilibrium state.http://dx.doi.org/10.1155/2017/5434680
collection DOAJ
language English
format Article
sources DOAJ
author Junhai Ma
Lijian Sun
Xueli Zhan
spellingShingle Junhai Ma
Lijian Sun
Xueli Zhan
Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the Market
Complexity
author_facet Junhai Ma
Lijian Sun
Xueli Zhan
author_sort Junhai Ma
title Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the Market
title_short Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the Market
title_full Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the Market
title_fullStr Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the Market
title_full_unstemmed Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the Market
title_sort study on triopoly dynamic game model based on different demand forecast methods in the market
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2017-01-01
description The impact of inaccurate demand beliefs on dynamics of a Triopoly game is studied. We suppose that all the players make their own estimations on possible demand with errors. A dynamic Triopoly game with such demand belief is set up. Based on this model, existence and local stable region of the equilibriums are investigated by 3D stable regions of Nash equilibrium point. The complex dynamics, such as bifurcation scenarios and route to chaos, are displayed in 2D bifurcation diagrams, in which e1 and α are negatively related to each other. Basins of attraction are investigated and we found that the attraction domain becomes smaller with the increase in price modification speed, which indicates that all the players’ output must be kept within a certain range so as to keep the system stable. Feedback control method is used to keep the system at an equilibrium state.
url http://dx.doi.org/10.1155/2017/5434680
work_keys_str_mv AT junhaima studyontriopolydynamicgamemodelbasedondifferentdemandforecastmethodsinthemarket
AT lijiansun studyontriopolydynamicgamemodelbasedondifferentdemandforecastmethodsinthemarket
AT xuelizhan studyontriopolydynamicgamemodelbasedondifferentdemandforecastmethodsinthemarket
_version_ 1724849772149342208