Research output: Contribution to journal › Article › peer-review
Approximation by sampling-type operators in Lp-spaces. / Kolomoitsev, Yurii; Skopina, Maria.
In: Mathematical Methods in the Applied Sciences, Vol. 43, No. 16, 15.11.2020, p. 9358-9374.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Approximation by sampling-type operators in Lp-spaces
AU - Kolomoitsev, Yurii
AU - Skopina, Maria
N1 - Publisher Copyright: © 2020 John Wiley & Sons, Ltd.
PY - 2020/11/15
Y1 - 2020/11/15
N2 - Approximation properties of the sampling-type quasi-projection operators (Formula presented.) for functions f from anisotropic Besov spaces are studied. Error estimates in lp -norm are obtained for a large class of tempered distributions (Formula presented.) and a large class of functions 휑 under the assumptions that 휑 has enough decay, satisfies the Strang-Fix conditions, and has a compatibility condition with (Formula presented.). The estimates are given in terms of moduli of smoothness and best approximations.
AB - Approximation properties of the sampling-type quasi-projection operators (Formula presented.) for functions f from anisotropic Besov spaces are studied. Error estimates in lp -norm are obtained for a large class of tempered distributions (Formula presented.) and a large class of functions 휑 under the assumptions that 휑 has enough decay, satisfies the Strang-Fix conditions, and has a compatibility condition with (Formula presented.). The estimates are given in terms of moduli of smoothness and best approximations.
KW - best approximation
KW - error estimate
KW - moduli of smoothness
KW - sampling-type operators
KW - INEQUALITIES
KW - SERIES
KW - FOURIER
KW - ERROR
UR - http://www.scopus.com/inward/record.url?scp=85078678763&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/cb43f807-3b6a-33e5-9621-d1124a33e247/
U2 - 10.1002/mma.6222
DO - 10.1002/mma.6222
M3 - Article
AN - SCOPUS:85078678763
VL - 43
SP - 9358
EP - 9374
JO - Mathematical Methods in the Applied Sciences
JF - Mathematical Methods in the Applied Sciences
SN - 0170-4214
IS - 16
ER -
ID: 62159115