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Dynamic analysis of a two-dimensional Cournot duopoly model involving social welfare and bounded rationality

  • S. S. Askar*
  • , Ahmed M. Ghazi
  • , M. F. Elettreby
  • , Mohamed Abouhawwash
  • , A. I. Elmahdy
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this manuscript, a Cournot duopoly game whose competitors adopt a nonlinear cost and a linear inverse demand function is studied. Competitors in this game aim to optimize their respective objective functions, which consist of profits and weighted social welfare. The progression of the game is modeled using a two-dimensional nonlinear discrete dynamic map characterized by eight parameters. We simplify the parameters of this map to better study its dynamics, given its complicated analytical form. The map of the game includes four fixed points, one of which corresponds to the intersection of the marginal objective functions that is the Nash point. We illustrate that the manifold of the map can be examined using a 1D map, which exhibits similarities to the logistic map. The Nash point's stability or instability is analyzed, showing that there are three zones in the game's map phase portrait, Z4, Z2, and Z0. and hence it is non-invertible. Simulations indicate that the attraction basin for certain attracting sets contributes to the emergence of contact bifurcations when different values of speed parameters are selected. This contact bifurcation is absent in the symmetric scenario where identical speed parameters are applied. The absorbing area, which is raised on synchronization phenomena, is discussed.

Original languageEnglish
Article number117548
JournalJournal of Computational and Applied Mathematics
Volume485
DOIs
StatePublished - 15 Oct 2026
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2026 The Author(s)

Keywords

  • Absorbing area
  • Contact bifurcation
  • Cournot game
  • Invariant manifold
  • Non-invertible map

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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