Estimation Features by Transformed Bernstein kind Polynomials
Journal Title: International Journal of Experimental Research and Review - Year 2023, Vol 32, Issue 3
Abstract
In our extensive study of literature, we delved into the multifarious manifestations of discrete operator transformations. These transformations are pivotal in mathematical analysis, especially concerning Lebesgue integral equations. Our investigation led us to corroborate the findings of Acu, Heilmann and Lorentz particularly in the context of functions normed under the L1-norm. Generalization was a key facet of our research, wherein we probed deeper into these operators' behaviors. This endeavor yielded a profound result: the derivation of a global asymptotic formula, providing invaluable insight into the long-term trends exhibited by these operators. Such formulae are instrumental in predicting the operators' behaviors over an extended span. Furthermore, our exploration unveiled a plethora of findings related to these generalized operators. We meticulously computed various moments, shedding light on the statistical characteristics of these transformations. This included an investigation into convergence properties, essential for understanding the stability and reliability of the operators in question. One of the most noteworthy contributions of our study is the elucidation of pointwise approximation and direct results. These findings offer practical applications, allowing for precise and efficient approximations in practical scenarios. This is particularly significant in fields where these operators are routinely employed, such as signal processing, numerical analysis, and scientific computing. In essence, our research has not only confirmed the foundational work of Acu, Heilmann and Lorentz but has also expanded the horizons of knowledge surrounding discrete operator transformations, offering a wealth of insights and practical implications for a wide range of mathematical and computational applications.
Authors and Affiliations
Ravendra Kumar Mishra, Sudesh Kumar Garg, Rupa Rani Sharma
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