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Nonsaturated Estimates of the Kotelnikov Formula Error

机译:Kotelnikov公式误差的非饱和估计值

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The error of approximation by the Kotelnikov sumsUTfx=∑j∈?fjTsincTx?j.T>0,sincz=sinπzπzdocumentclass12pt{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$ {U}_Tf(x)=sum_{jin mathbb{Z}}fleft(frac{j}{T}right)operatorname{sinc}left( Tx-jright).T>0,operatorname{sinc} z=frac{sin pi z}{pi z} $$end{document}is estimated. Let f ∈ A, i.e.,fx=∫?gyeixydy,g∈L1?,documentclass12pt{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$ f(x)=underset{mathbb{R}}{int }g(y){e}^{ixy} dy,gin {L}_1left(mathbb{R}right), $$end{document} and let fA=∫?gdocumentclass12pt{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$ {leftVert frightVert}_{textbf{A}}=underset{mathbb{R}}{int}leftgright $$end{document} be the Wiener norm of f. Then the sharp inequalityf?UTfA≤2ATπfAdocumentclass12pt{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$ {leftVert f-{U}_TfrightVert}_{textbf{A}}le 2{A}_{Tpi}{(f)}_{textbf{A}} $$end{document}holds, where Aσ(f)A is the best approximation of f in the Wiener norm by entire functions of exponential type not exceeding . Several non-saturated uniform estimates are also established.
机译:The error of approximation by the Kotelnikov sumsUTfx=∑j∈?fjTsincTx?j.T>0,sincz=sinπzπzdocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$ {U}_Tf(x)=sum_{jin mathbb{Z}}fleft(frac{j}{T}right)operatorname{sinc}left( Tx-jright).T>0,operatorname{sinc} z=frac{sin pi z}{pi z} $$end{document}被估计。设 f ∈ A,即,fx=∫?gyeixydy,g∈L1?,documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$ f(x)=underset{mathbb{R}}{int }g(y){e}^{ixy} dy,gin {L}_1left(mathbb{R}right), $$end{document} and let fA=∫?gdocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb}usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$ {leftVert frightVert}_{textbf{A}}=underset{mathbb{R}}{int}left|gright|$$end{document} 是 f 的维纳范数。那么尖锐的不平等f?UTfA≤2ATπfAdocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$ {leftVert f-{U}_TfrightVert}_{textbf{A}}le 2{A}_{Tpi}{(f)}_{textbf{A}} $$end{document}成立,其中 Aσ(f)A 是 Wiener 范数中 f 的最佳近似值,整个指数类型的函数不超过 .还建立了几个非饱和均匀估计值。

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