Multi-valued characteristics and Morse decompositions

被引:9
|
作者
Gedeon, Tomas [1 ]
Hines, Gwendolen [2 ]
机构
[1] Montana State Univ, Dept Math Sci, Bozeman, MT 59715 USA
[2] Univ Nebraska, Dept Math, Lincoln, NE 68588 USA
基金
美国国家科学基金会;
关键词
CELL-CYCLE OSCILLATOR; MONOTONE SYSTEMS; POSITIVE FEEDBACK; DYNAMICS; MULTISTABILITY; CONVERGENCE; HYSTERESIS; THEOREMS;
D O I
10.1016/j.jde.2009.04.019
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
A rapid growth of molecular and systems biology in recent years challenges mathematicians to develop robust modeling and analytical tools for this area. We combine a theory of monotone input-output systems with a classical theory of Morse decompositions in the context of ordinary differential equations models of biochemical reactions. We show that a multi-valued input-output characteristic can be used to define non-trivial Morse decompositions which provide information about a global structure of the attractor. The previous work on input-output characteristics is shown to apply locally to individual Morse sets and is seamlessly incorporated into our global theory. We apply our tools to a model of cell cycle maintenance. We show that changing the strength of the negative feedback loop can lead to cessation of cell cycle in two different ways: it can either lead to globally attracting equilibrium or to a pair of equilibria that attract almost all solutions. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:1013 / 1042
页数:30
相关论文
共 50 条
  • [1] Linear Decompositions for Multi-Valued Input Classification Functions
    Sasao, Tsutomu
    Butler, Jon T.
    2021 IEEE 51ST INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC (ISMVL 2021), 2021, : 19 - 25
  • [2] System Decompositions of Multi-valued Boolean Control Networks
    Zou, Yunlei
    Zhu, Jiandong
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 151 - 156
  • [3] Multi-valued Autoencoders for Multi-valued Neural Networks
    Hata, Ryusuke
    Murase, Kazuyuki
    2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 4412 - 4417
  • [4] Multi-valued neural networks I: a multi-valued associative memory
    Maximov, Dmitry
    Goncharenko, Vladimir, I
    Legovich, Yury S.
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (16): : 10189 - 10198
  • [5] Multi-valued neural networks I: a multi-valued associative memory
    Dmitry Maximov
    Vladimir I. Goncharenko
    Yury S. Legovich
    Neural Computing and Applications, 2021, 33 : 10189 - 10198
  • [6] Topological characteristics of multi-valued maps and Lipschitzian functionals
    Klimov, V. S.
    IZVESTIYA MATHEMATICS, 2008, 72 (04) : 717 - 739
  • [7] MORSE DECOMPOSITION FOR GRADIENT-LIKE MULTI-VALUED AUTONOMOUS AND NONAUTONOMOUS DYNAMICAL SYSTEMS
    Wang, Yejuan
    Caraballo, Tomas
    DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2020, 13 (08): : 2303 - 2326
  • [8] MULTI-VALUED SYMMETRIES
    KASNER, E
    BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY, 1945, 51 (01) : 69 - 69
  • [9] MULTI-VALUED LOGIC
    PERRINE, S
    ANNALES DES TELECOMMUNICATIONS-ANNALS OF TELECOMMUNICATIONS, 1978, 33 (11-1): : 376 - 382
  • [10] Correction to: Multi-valued neural networks I: a multi-valued associative memory
    Dmitry Maximov
    Vladimir I. Goncharenko
    Yury S. Legovich
    Neural Computing and Applications, 2023, 35 : 18087 - 18088