Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition
The theory of quadratic stochastic operator (QSO) has been significantly developed since it was introduced in 1920s by Bernstein on population genetics. Over the century, many researchers have studied the behavior of such nonlinear operators by considering different classes of QSO on finite and infi...
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| Format: | Article |
| Language: | English |
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Erdal Karapinar
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39377/1/Paper%20Dynamics%20of%20Lebesgue%20Quadratic%20Stochastic%20Operator%20with%20Nonnegative%20Integers%20Parameters%20Generated%20by%202-Partition%20%28Results%20in%20Nonlinear%20Analysis%29.pdf |
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| author | Siti Nurlaili, Karim Nur Zatul Akmar, Hamzah Ganikhodajev, Nasir Muhammad Azrin, Ahmad Norarida, Abd Rhani |
| author_facet | Siti Nurlaili, Karim Nur Zatul Akmar, Hamzah Ganikhodajev, Nasir Muhammad Azrin, Ahmad Norarida, Abd Rhani |
| author_sort | Siti Nurlaili, Karim |
| collection | UMP |
| description | The theory of quadratic stochastic operator (QSO) has been significantly developed since it was introduced in 1920s by Bernstein on population genetics. Over the century, many researchers have studied the behavior of such nonlinear operators by considering different classes of QSO on finite and infinite state spaces. However, all these studies do not comprehensively represent the core prob-lem of QSO; i.e., the trajectory behavior. Recently, a class of QSO called Lebesgue QSO has been introduced and studied. Such an operator got its name based on Lebesgue measure which serves as a probability measure of the QSO. The conditions of the Lebesgue QSO have allowed us to con-sider the possibility of introducing a new measure for such QSO. This research presents a new class of Lebesgue QSO with nonnegative integers parameters generated by a measurable 2-partition on the continual state space X=[,]01. This research aims to study the trajectory behavior of the QSO by reducing its infinite variables into a mapping of one-dimensional simplex. The behavior of such operators will be investigated computationally and analytically, where the computational results conform to the analytical results. We will apply measure and probability theory as well as functional |
| first_indexed | 2024-03-06T13:11:14Z |
| format | Article |
| id | UMPir39377 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:11:14Z |
| publishDate | 2023 |
| publisher | Erdal Karapinar |
| record_format | dspace |
| spelling | UMPir393772023-11-24T06:23:13Z http://umpir.ump.edu.my/id/eprint/39377/ Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition Siti Nurlaili, Karim Nur Zatul Akmar, Hamzah Ganikhodajev, Nasir Muhammad Azrin, Ahmad Norarida, Abd Rhani QA Mathematics The theory of quadratic stochastic operator (QSO) has been significantly developed since it was introduced in 1920s by Bernstein on population genetics. Over the century, many researchers have studied the behavior of such nonlinear operators by considering different classes of QSO on finite and infinite state spaces. However, all these studies do not comprehensively represent the core prob-lem of QSO; i.e., the trajectory behavior. Recently, a class of QSO called Lebesgue QSO has been introduced and studied. Such an operator got its name based on Lebesgue measure which serves as a probability measure of the QSO. The conditions of the Lebesgue QSO have allowed us to con-sider the possibility of introducing a new measure for such QSO. This research presents a new class of Lebesgue QSO with nonnegative integers parameters generated by a measurable 2-partition on the continual state space X=[,]01. This research aims to study the trajectory behavior of the QSO by reducing its infinite variables into a mapping of one-dimensional simplex. The behavior of such operators will be investigated computationally and analytically, where the computational results conform to the analytical results. We will apply measure and probability theory as well as functional Erdal Karapinar 2023 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39377/1/Paper%20Dynamics%20of%20Lebesgue%20Quadratic%20Stochastic%20Operator%20with%20Nonnegative%20Integers%20Parameters%20Generated%20by%202-Partition%20%28Results%20in%20Nonlinear%20Analysis%29.pdf Siti Nurlaili, Karim and Nur Zatul Akmar, Hamzah and Ganikhodajev, Nasir and Muhammad Azrin, Ahmad and Norarida, Abd Rhani (2023) Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition. Results in Nonlinear Analysis, 6 (1). pp. 59-67. ISSN 2636-7556. (Published) https://doi.org/10.31838/rna/2023.06.01.005 10.31838/rna/2023.06.01.005 |
| spellingShingle | QA Mathematics Siti Nurlaili, Karim Nur Zatul Akmar, Hamzah Ganikhodajev, Nasir Muhammad Azrin, Ahmad Norarida, Abd Rhani Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition |
| title | Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition |
| title_full | Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition |
| title_fullStr | Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition |
| title_full_unstemmed | Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition |
| title_short | Dynamics of Lebesgue Quadratic Stochastic Operator with Nonnegative Integers Parameters Generated by 2-Partition |
| title_sort | dynamics of lebesgue quadratic stochastic operator with nonnegative integers parameters generated by 2 partition |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/39377/1/Paper%20Dynamics%20of%20Lebesgue%20Quadratic%20Stochastic%20Operator%20with%20Nonnegative%20Integers%20Parameters%20Generated%20by%202-Partition%20%28Results%20in%20Nonlinear%20Analysis%29.pdf |
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