Asymptoticity of Measure Theoretic Operators and Persistent Homology in Artificial Intelligence

Authors

  • Benard Okelo School of Biological, Physical, Mathematics and Actuarial Sciences, Jaramogi Oginga Odinga University of Science and Technology, Box 210-40601, Bondo-Kenya.
  • P. Omoke School of Biological, Physical, Mathematics and Actuarial Sciences, Jaramogi Oginga Odinga University of Science and Technology, Box 210-40601, Bondo-Kenya.
  • A. Onyango School of Biological, Physical, Mathematics and Actuarial Sciences, Jaramogi Oginga Odinga University of Science and Technology, Box 210-40601, Bondo-Kenya.
  • J. Oburu School of Biological, Physical, Mathematics and Actuarial Sciences, Jaramogi Oginga Odinga University of Science and Technology, Box 210-40601, Bondo-Kenya.
  • F. Odhiambo School of Biological, Physical, Mathematics and Actuarial Sciences, Jaramogi Oginga Odinga University of Science and Technology, Box 210-40601, Bondo-Kenya.
  • W. Kangogo School of Biological, Physical, Mathematics and Actuarial Sciences, Jaramogi Oginga Odinga University of Science and Technology, Box 210-40601, Bondo-Kenya.

Keywords:

Asymptoticity, Operator, Persistent homology, Measure, AI

Abstract

Studies in algebraic structures and their applications to computing remain interesting to date. In this work, we study asymptoticity of measure theoretic operators in norm-attainable (NA) algebras. We show that these operators are asymptotically stable in a measure theoretic sense in maximal two-sided proper rings which are subalgebras of NA algebras and that they have unique aspects that are useful in artificial intelligence.

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Published

2025-06-11

How to Cite

Okelo, B., P. Omoke, A. Onyango, J. Oburu, F. Odhiambo, & W. Kangogo. (2025). Asymptoticity of Measure Theoretic Operators and Persistent Homology in Artificial Intelligence. International Journal of Open Problems in Computer Science and Mathematics, 18(3), 40–46. Retrieved from https://ijopcm.icsrs.uk/index.php/journal/article/view/30

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