数列空间中的限制性非线性逼近及其在小波基和插值中的应用
Restricted non-linear approximation in sequence spaces and applications to wavelet bases and interpolation
摘要:
受限非线性逼近是一种N项近似,其中使用索引集上的度量$ν$(而不是计数度量)来控制近似中的项数。证明了限制非线性逼近空间在加权Lorentz数列空间上的嵌入等价于Jackson和Bernstein型不等式,也等价于上下Temlyakov性质.作为应用,我们得到的Triebel-Lizorkin空间中的小波基的结果显示Temlyakow属性在此设置。此外,还得到了Triebel-Lizorkin和Besov空间的新的插值结果.
英文摘要:
Restricted non-linear approximation is a type of N-term approximation where a measure $ν$ on the index set (rather than the counting measure) is used to control the number of terms in the approximation. We show that embeddings for restricted non-linear approximation spaces in terms of weighted Lorentz sequence spaces are equivalent to Jackson and Bernstein type inequalities, and also to the upper and lower Temlyakov property. As applications we obtain results for wavelet bases in Triebel-Lizorkin spaces by showing the Temlyakow property in this setting. Moreover, new interpolation results for Triebel-Lizorkin and Besov spaces are obtained.
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