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This paper investigates the approximation properties of linear Kantorovich-type sampling operators in the setting of general Banach lattices on the torus and the real line . Under a natural assumption on the uniform boundedness of the Steklov averaging operators, we establish direct and inverse approximation estimates, as well as strong converse inequalities. Our framework does not require the underlying spaces to be translation-invariant, thereby covering a wide variety of classes and extending the estimates for Kantorovich-type operators previously known primarily for Lebesgue spaces .

生成讲解博客的中文版本

生成AI智能校验的中文版本