I tiakina i:
| Ngā kaituhi matua: | , |
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| Hōputu: | Preprint |
| I whakaputaina: |
2025
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| Ngā marau: | |
| Urunga tuihono: | https://arxiv.org/abs/2508.04708 |
| Ngā Tūtohu: |
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| _version_ | 1866908480743407616 |
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| author | Aandriamifidisoa, Ramamonjy Saindou, Loukman Ben |
| author_facet | Aandriamifidisoa, Ramamonjy Saindou, Loukman Ben |
| contents | We generalize the framework of discrete algebraic dynamical systems \cite{Andriamifidisoa2014} to Laurent polynomials and series over \(\Z^r\), enabling the modeling of bidirectional discrete systems. By redefining the spaces \(\Dprime\) and \(\Aprime\), introducing a bilinear mapping (defined as the scalar product in Section 3), and extending the shift operator, we preserve the duality and adjoint properties of \cite{Andriamifidisoa2014}. These properties are rigorously proved and illustrated through examples and a data processing case study on bidirectional sequence transformations. In contrast to Oberst \cite{Ob90}, our algebraic approach emphasizes the structure of Laurent series, providing a streamlined framework for multidimensional systems. This work addresses an open question from \cite{Andriamifidisoa2014} and has applications in multidimensional data processing, such as image filtering and control theory. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_04708 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Algebraic Framework for Discrete Dynamical Systems over Laurent Series Aandriamifidisoa, Ramamonjy Saindou, Loukman Ben General Mathematics 13C60, 18A40 We generalize the framework of discrete algebraic dynamical systems \cite{Andriamifidisoa2014} to Laurent polynomials and series over \(\Z^r\), enabling the modeling of bidirectional discrete systems. By redefining the spaces \(\Dprime\) and \(\Aprime\), introducing a bilinear mapping (defined as the scalar product in Section 3), and extending the shift operator, we preserve the duality and adjoint properties of \cite{Andriamifidisoa2014}. These properties are rigorously proved and illustrated through examples and a data processing case study on bidirectional sequence transformations. In contrast to Oberst \cite{Ob90}, our algebraic approach emphasizes the structure of Laurent series, providing a streamlined framework for multidimensional systems. This work addresses an open question from \cite{Andriamifidisoa2014} and has applications in multidimensional data processing, such as image filtering and control theory. |
| title | Algebraic Framework for Discrete Dynamical Systems over Laurent Series |
| topic | General Mathematics 13C60, 18A40 |
| url | https://arxiv.org/abs/2508.04708 |