Complex Dynamics in a Nonlinear Cobweb Model for Real Estate Market

We establish a nonlinear real estate model based on cobweb theory, where the demand function and supply function are quadratic. The stability conditions of the equilibrium are discussed. We demonstrate that as some parameters varied, the stability of Nash equilibrium is lost through period-doubling...

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Main Authors: Junhai Ma, Lingling Mu
Format: Article
Language:English
Published: Wiley 2007-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2007/29207
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author Junhai Ma
Lingling Mu
author_facet Junhai Ma
Lingling Mu
author_sort Junhai Ma
collection DOAJ
description We establish a nonlinear real estate model based on cobweb theory, where the demand function and supply function are quadratic. The stability conditions of the equilibrium are discussed. We demonstrate that as some parameters varied, the stability of Nash equilibrium is lost through period-doubling bifurcation. The chaotic features are justified numerically via computing maximal Lyapunov exponents and sensitive dependence on initial conditions. The delayed feedback control (DFC) method is applied to control the chaos of system.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2007-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-cb1195e00c4e479ba0430d8a3c0eba282025-02-03T01:27:28ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2007-01-01200710.1155/2007/2920729207Complex Dynamics in a Nonlinear Cobweb Model for Real Estate MarketJunhai Ma0Lingling Mu1School of Management, Tianjin University, Tianjin 300072, ChinaSchool of Management, Tianjin University, Tianjin 300072, ChinaWe establish a nonlinear real estate model based on cobweb theory, where the demand function and supply function are quadratic. The stability conditions of the equilibrium are discussed. We demonstrate that as some parameters varied, the stability of Nash equilibrium is lost through period-doubling bifurcation. The chaotic features are justified numerically via computing maximal Lyapunov exponents and sensitive dependence on initial conditions. The delayed feedback control (DFC) method is applied to control the chaos of system.http://dx.doi.org/10.1155/2007/29207
spellingShingle Junhai Ma
Lingling Mu
Complex Dynamics in a Nonlinear Cobweb Model for Real Estate Market
Discrete Dynamics in Nature and Society
title Complex Dynamics in a Nonlinear Cobweb Model for Real Estate Market
title_full Complex Dynamics in a Nonlinear Cobweb Model for Real Estate Market
title_fullStr Complex Dynamics in a Nonlinear Cobweb Model for Real Estate Market
title_full_unstemmed Complex Dynamics in a Nonlinear Cobweb Model for Real Estate Market
title_short Complex Dynamics in a Nonlinear Cobweb Model for Real Estate Market
title_sort complex dynamics in a nonlinear cobweb model for real estate market
url http://dx.doi.org/10.1155/2007/29207
work_keys_str_mv AT junhaima complexdynamicsinanonlinearcobwebmodelforrealestatemarket
AT linglingmu complexdynamicsinanonlinearcobwebmodelforrealestatemarket