Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb Model

Based on a nonlinear demand function and a market-clearing price, a cobweb model is introduced in this paper. A gradient mechanism that depends on the marginal profit is adopted to form the 1D discrete dynamic cobweb map. Analytical studies show that the map possesses four fixed points and only one...

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Main Author: S. S. Askar
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6642706
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spelling doaj-a018db81e64d4cc28d2ecd56fcf73c802021-04-05T00:01:41ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/6642706Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb ModelS. S. Askar0Department of Statistics and Operations ResearchBased on a nonlinear demand function and a market-clearing price, a cobweb model is introduced in this paper. A gradient mechanism that depends on the marginal profit is adopted to form the 1D discrete dynamic cobweb map. Analytical studies show that the map possesses four fixed points and only one attains the profit maximization. The stability/instability conditions for this fixed point are calculated and numerically studied. The numerical studies provide some insights about the cobweb map and confirm that this fixed point can be destabilized due to period-doubling bifurcation. The second part of the paper discusses the memory factor on the stabilization of the map’s equilibrium point. A gradient mechanism that depends on the marginal profit in the past two time steps is adopted to incorporate memory in the model. Hence, a 2D discrete dynamic map is constructed. Through theoretical and numerical investigations, we show that the equilibrium point of the 2D map becomes unstable due to two types of bifurcations that are Neimark–Sacker and flip bifurcations. Furthermore, the influence of the speed of adjustment parameter on the map’s equilibrium is analyzed via numerical experiments.http://dx.doi.org/10.1155/2021/6642706
collection DOAJ
language English
format Article
sources DOAJ
author S. S. Askar
spellingShingle S. S. Askar
Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb Model
Complexity
author_facet S. S. Askar
author_sort S. S. Askar
title Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb Model
title_short Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb Model
title_full Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb Model
title_fullStr Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb Model
title_full_unstemmed Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb Model
title_sort further investigations on the dynamics and multistability coexisted in a memory-based cobweb model
publisher Hindawi-Wiley
series Complexity
issn 1099-0526
publishDate 2021-01-01
description Based on a nonlinear demand function and a market-clearing price, a cobweb model is introduced in this paper. A gradient mechanism that depends on the marginal profit is adopted to form the 1D discrete dynamic cobweb map. Analytical studies show that the map possesses four fixed points and only one attains the profit maximization. The stability/instability conditions for this fixed point are calculated and numerically studied. The numerical studies provide some insights about the cobweb map and confirm that this fixed point can be destabilized due to period-doubling bifurcation. The second part of the paper discusses the memory factor on the stabilization of the map’s equilibrium point. A gradient mechanism that depends on the marginal profit in the past two time steps is adopted to incorporate memory in the model. Hence, a 2D discrete dynamic map is constructed. Through theoretical and numerical investigations, we show that the equilibrium point of the 2D map becomes unstable due to two types of bifurcations that are Neimark–Sacker and flip bifurcations. Furthermore, the influence of the speed of adjustment parameter on the map’s equilibrium is analyzed via numerical experiments.
url http://dx.doi.org/10.1155/2021/6642706
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