Discrete fractional cobweb models

被引：6
|
作者：
Bohner, Martin [1 ]
Jonnalagadda, Jagan Mohan [2 ]
机构：
[1] Missouri S&T, Rolla, MO 65409 USA
[2] Birla Inst Technol & Sci Pilani, Dept Math, Hyderabad 500078, Telangana, India
来源：
CHAOS SOLITONS & FRACTALS | 2022年 / 162卷
关键词：
Caputo nabla fractional difference; Cobweb model; Mittag-Leffler-type function; Equilibrium; Stability;
D O I：
10.1016/j.chaos.2022.112451
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this article, we propose two types of discrete fractional cobweb models. We derive the analytical solutions of these models and establish sufficient conditions on the stability of their equilibria. We also provide two examples to demonstrate the applicability of our main results.(c) 2022 Published by Elsevier Ltd.
引用
收藏
页数：5
相关论文
共 50 条
  • [31] The Cobweb
    Boyle, Frances Alter
    LIBRARY JOURNAL, 1954, 79 (07) : 626 - 626
  • [32] The Cobweb
    Morgan, Norman C.
    AMERICAN JOURNAL OF PSYCHOTHERAPY, 1955, 9 (01) : 125 - 126
  • [33] Cobweb
    McCready, Marion
    STAND, 2022, 20 (03): : 41 - 41
  • [34] The Cobweb
    不详
    PSYCHIATRIC QUARTERLY, 1954, 28 (02) : 331 - 331
  • [35] The Cobweb
    不详
    PSYCHIATRIC QUARTERLY, 1955, 29 (02) : 325 - 325
  • [36] The Cobweb
    Robbins, Lewis L.
    BULLETIN OF THE MENNINGER CLINIC, 1955, 19 (03) : 103 - 104
  • [37] Discrete HARWHT and Discrete Fractional HARWHT Transforms
    Zhu, Hongqing
    ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT II, 2011, 7003 : 530 - 537
  • [38] Asymptotics for discrete time hedging errors under fractional Black-Scholes models
    Wang, Wensheng
    STATISTICS & PROBABILITY LETTERS, 2019, 149 : 160 - 170
  • [39] Study Models of COVID-19 in Discrete-Time and Fractional-Order
    Djeddi, Kamel
    Bouali, Tahar
    Msmali, Ahmed H.
    Ahmadini, Abdullah Ali H.
    Koam, Ali N. A.
    FRACTAL AND FRACTIONAL, 2023, 7 (06)
  • [40] Fractional-order discrete grey models for China's electricity consumption forecasting
    Gao, Zhe
    Chen, Xiaojiao
    Zhang, Guannan
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 5327 - 5332
12345