Shape-Preserving Properties of Max-Product Type Nonlinear $q-$Bernstein–Chlodowsky Operators

In [29], a new class of nonlinear Bernstein--Chlodowsky operators of max-product type based on $q$-integers was introduced, and corresponding error estimations were established. The present work is devoted to a further investigation of these operators with particular emphasis on their shape-preserving properties. Specifically, we examine the preservation of structural features such as monotonicity, convexity under the action of the proposed operators. These properties are essential in various applications of approximation theory. The results presented here extend the foundational work in [29] and contribute to a deeper understanding of the qualitative behavior of $q$-based max-product type operators within the framework of nonlinear approximation.

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Publication Details

Journal
Turkish Journal of Mathematics and Computer Science
Published
2026-06-30
DOI
https://doi.org/10.47000/tjmcs.1794817
Primary Topic
Approximation Theory and Sequence Spaces
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article
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article

Shape-Preserving Properties of Max-Product Type Nonlinear $q-$Bernstein–Chlodowsky Operators

Özge Özalp Güller
Turkish Journal of Mathematics and Computer Science
Approximation Theory and Sequence Spaces
article

Shape-Preserving Properties of Max-Product Type Nonlinear $q-$Bernstein–Chlodowsky Operators

Özge Özalp Güller
article en

Abstract

In [29], a new class of nonlinear Bernstein--Chlodowsky operators of max-product type based on $q$-integers was introduced, and corresponding error estimations were established. The present work is devoted to a further investigation of these operators with particular emphasis on their shape-preserving properties. Specifically, we examine the preservation of structural features such as monotonicity, convexity under the action of the proposed operators. These properties are essential in various applications of approximation theory. The results presented here extend the foundational work in [29] and contribute to a deeper understanding of the qualitative behavior of $q$-based max-product type operators within the framework of nonlinear approximation.

Turkish Journal of Mathematics and Computer ScienceVol. 18(2)
Ankara University (TR)
Openalex Percentile: Top 7%
Approximation Theory and Sequence Spaces
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