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Research Article | Open Access

Optimized properties for noncanonical neutral differential equations with distributed deviating arguments and their oscillation analysis

Osama Moaaz1,2Asma Al-Jaser3( )Mohamed F. Abouelenein4Mona Anis2
Department of Mathematics, College of Science, Qassim University, P.O. Box 6644, Buraydah 51452, Saudi Arabia
Department of Mathematics, Faculty of Science, Mansoura University, 35516 Mansoura, Egypt
Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Department of Insurance and Risk Management, College of Business, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Riyadh, Saudi Arabia
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Abstract

This work develops new oscillation criteria for second‑order neutral differential equations with distributed deviating arguments. The analysis covers both the noncanonical case and the situation in which the coefficient of the neutral delay term exceeds one, settings that remain insufficiently addressed in the existing literature. The main contribution of this study is the derivation of several refined inequalities that strengthen the relation between the solution and its associated function. These improved relations allow us to establish sharper oscillation criteria, including a Kneser ‑type criterion and additional forms that extend and refine earlier approaches. Several examples are provided to apply the theoretical results and to compare them with related findings. The findings indicate that the developed framework offers a more sensitive and robust tool for detecting oscillatory behavior in this class of neutral equations.

CLC number: 34C10, 34K11

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AIMS Mathematics
Pages 17838-17858

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Cite this article:
Moaaz O, Al-Jaser A, Abouelenein MF, et al. Optimized properties for noncanonical neutral differential equations with distributed deviating arguments and their oscillation analysis. AIMS Mathematics, 2026, 11(6): 17838-17858. https://doi.org/10.3934/math.2026727

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Received: 31 March 2026
Revised: 19 May 2026
Accepted: 08 June 2026
Published: 15 June 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)