Strong Approximation and Generalized Lipschitz Classes

1981 ◽  
pp. 343-350 ◽  
Author(s):  
László Leindler
Keyword(s):  
Strong Approximation ◽  
Lipschitz Classes

scholarly journals Strong Approximation for a Toric Variety

2021 ◽  
Vol 37 (1) ◽  
pp. 95-103
Author(s):  
Da Sheng Wei
Keyword(s):  
Toric Variety ◽  
Strong Approximation

scholarly journals Quantitative Estimates for Nonlinear Sampling Kantorovich Operators

2021 ◽  
Vol 76 (2) ◽  
Author(s):  
Nursel Çetin ◽  
Danilo Costarelli ◽  
Gianluca Vinti
Keyword(s):  
Orlicz Spaces ◽  
General Setting ◽  
Modulus Of Smoothness ◽  
Direct Approach ◽  
Order Of Approximation ◽  
Lipschitz Classes ◽  
General Frame ◽  
Quantitative Estimates ◽  
Nonlinear Sampling ◽  
Kantorovich Operators

AbstractIn this paper, we establish quantitative estimates for nonlinear sampling Kantorovich operators in terms of the modulus of smoothness in the setting of Orlicz spaces. This general frame allows us to directly deduce some quantitative estimates of approximation in $$L^{p}$$ L p -spaces, $$1\le p<\infty $$ 1 ≤ p < ∞ , and in other well-known instances of Orlicz spaces, such as the Zygmung and the exponential spaces. Further, the qualitative order of approximation has been obtained assuming f in suitable Lipschitz classes. The above estimates achieved in the general setting of Orlicz spaces, have been also improved in the $$L^p$$ L p -case, using a direct approach suitable to this context. At the end, we consider the particular cases of the nonlinear sampling Kantorovich operators constructed by using some special kernels.

A strong approximation for some non-stationary complex Gaussian processes

1981 ◽  
Vol 18 (2) ◽  
pp. 390-402 ◽  
Author(s):  
Peter Breuer
Keyword(s):  
Rate Of Convergence ◽  
Gaussian Processes ◽  
Strong Approximation ◽  
Approximation Theorem ◽  
Explicit Rate ◽  
Complex Valued ◽  
Strong Approximation Theorem

A strong approximation theorem is proved for some non-stationary complex-valued Gaussian processes and an explicit rate of convergence is achieved. The result answers a problem raised by S. Csörgő.

Strong approximation for ρ-mixing sequences

2012 ◽  
Vol 55 (10) ◽  
pp. 2159-2182
Author(s):  
ZhengYan Lin ◽  
YueXu Zhao
Keyword(s):  
Strong Approximation ◽  
Mixing Sequences
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