Dynamics of low dimensional orthogonality preserving cubic stochastic operators /

Cubic stochastic operator (CSO) was first introduced in 2004 by Rozikov and Khamraev. Since then, few studies had been done to study the dynamics of trajectory of some classes of CSOs. In this thesis, we consider the cubic stochastic operator (CSO) defined on 1 and 2-dimensional simplex. We provide...

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Bibliographic Details
Main Author: Azizi bin Rosli (Author)
Format: Thesis
Language:English
Published: Kuantan, Pahang : Kulliyyah of Science, International Islamic University Malaysia, 2019
Subjects:
Online Access:http://studentrepo.iium.edu.my/handle/123456789/9821
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100 0 |a Azizi bin Rosli,  |e author  |9 19767 
245 1 |a Dynamics of low dimensional orthogonality preserving cubic stochastic operators /  |c by Azizi bin Rosli 
264 1 |a Kuantan, Pahang :  |b Kulliyyah of Science, International Islamic University Malaysia,  |c 2019 
300 |a xii, 69 leaves :  |b colour illustrations ;  |c 30cm. 
336 |2 rdacontent  |a text 
337 |2 rdamedia  |a unmediated 
337 |2 rdamedia  |a computer 
338 |2 rdacarrier  |a volume 
338 |2 rdacarrier  |a online resource 
347 |2 rdaft  |a text file  |b PDF 
500 |a Abstracts in English and Arabic. 
500 |a "A thesis submitted in fulfilment of the requirement for the degree of Master of Science (Computational and Theoretical Sciences)." --On title page. 
502 |a Thesis (MSCTS)--International Islamic University Malaysia, 2019. 
504 |a Includes bibliographical references (leaves 61-63). 
520 |a Cubic stochastic operator (CSO) was first introduced in 2004 by Rozikov and Khamraev. Since then, few studies had been done to study the dynamics of trajectory of some classes of CSOs. In this thesis, we consider the cubic stochastic operator (CSO) defined on 1 and 2-dimensional simplex. We provide a full description of orthogonal preserving (OP) cubic stochastic operators on the 1 and 2-dimensional simplex. We provide full description of the fixed points subject to two different parameters for the Volterra OP CSO on both simplex. In the last part of each case we described the behaviour of the fixed points. A concrete example of a non-ergodic orthogonal preserving (OP) Volterra cubic stochastic operator is given. 
650 0 |a Stochastic processes 
650 0 |a Dynamics  |9 1092 
655 7 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Department of Computational and Theoretical Sciences  |z IIUM  |9 9140 
700 0 |a Pah Chin Hee,  |c Assoc., Prof., Dr.,  |e degree supervisor  |9 19778 
700 0 |a Farrukh Mukhamedov,  |c Prof.  |e degree supervisor  |9 19779 
710 2 |a International Islamic University Malaysia.  |b Department of Computational and Theoretical Sciences  |9 9141 
856 4 |u http://studentrepo.iium.edu.my/handle/123456789/9821 
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