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Sharp sufficient condition for the convergence of greedy expansions with errors in coefficient computation

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EN
Abstrakty
EN
Generalized approximate weak greedy algorithms (gAWGAs) were introduced by Galatenko and Livshits as a generalization of approximate weak greedy algorithms, which, in turn, generalize weak greedy algorithm and thus pure greedy algorithm. We consider a narrower case of gAWGA in which only a sequence of absolute errors {ξn}∞n=1 is nonzero. In this case sufficient condition for a convergence of a gAWGA expansion to an expanded element obtained by Galatenko and Livshits can be written as ∑∞n=1ξ2n<∞ . In the present article, we relax this condition and show that the convergence is guaranteed for ξn=o(1√n) . This result is sharp because the convergence may fail to hold for ξn≍1√n .
Wydawca
Rocznik
Strony
254--264
Opis fizyczny
Bibliogr. 10 poz.
Twórcy
  • Department of Mathematical Analysis, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Leninskie Gory 1, GSP-1, Moscow, 119991, Russia
  • Moscow Center for Fundamental and Applied Mathematics, Moscow, Russia
  • Department of Mathematical Analysis, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Leninskie Gory 1, GSP-1, Moscow, 119991, Russia
  • Moscow Center for Fundamental and Applied Mathematics, Moscow, Russia
  • Department of Mathematical Analysis, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Leninskie Gory 1, GSP-1, Moscow, 119991, Russia
  • Moscow Center for Fundamental and Applied Mathematics, Moscow, Russia
Bibliografia
  • [1] V. V. Galatenko and E. D. Livshits, Generalized approximate weak greedy algorithms, Math. Notes 78 (2005), no. 2, 186–201, DOI: https://doi.org/10.4213/mzm2581.
  • [2] R. Gribonval and M. Nielsen, Approximate weak greedy algorithms, Adv. Comput. Math. 14 (2001), no. 4, 361–378, DOI: https://doi.org/10.1023/A:1012255021470.
  • [3] V. N. Temlyakov, Weak greedy algorithms, Adv. Comput. Math. 12 (2000), no. 2–3, 213–227, DOI: https://doi.org/10.1023/A:1018917218956.
  • [4] J. H. Friedman and W. Stueuzle, Projection pursuit regression, J. Amer. Statist. Assoc. 76 (1981), 817–823, DOI: https://doi.org/10.1080/01621459.1981.10477729.
  • [5] S. Mallat and Z. Zhang, Matching pursuit with time-frequency dictionaries, IEEE Trans. Signal Process 41 (1993), no. 12, 3397–3415, DOI: https://doi.org/10.1109/78.258082.
  • [6] V. N. Temlyakov, Greedy algorithms with prescribed coefficients, J. Fourier Anal. Appl. 13 (2007), no. 1, 71–86, DOI: https://doi.org/10.1007/s00041-006-6033-x.
  • [7] V. N. Temlyakov, Greedy expansions in Banach spaces, Adv. Comput. Math. 26 (2007), no. 4, 431–449, DOI: https://doi.org/10.1007/s10444-005-7452-y.
  • [8] Ar. R. Valiullin, Al. R. Valiullin, and V. V. Galatenko, Greedy expansions with prescribed coefficients in Hilbert spaces, Int. J. Math. Math. Sci. 2018 (2018), 4867091, DOI: https://doi.org/10.1155/2018/4867091.
  • [9] Ar. R. Valiullin and Al. R. Valiullin, Sharp conditions for the convergence of greedy expansions with prescribed coefficients, Open Math. 19 (2021), no. 1, 1–10, DOI: https://doi.org/10.1515/math-2021-0006.
  • [10] K. Knopp, Theory and Application of Infinite Series, Blackie & Son, Glasgow, 1928, pp. 290–293.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6bd665e1-4aa1-4475-8972-78b335b2432e
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