Marcinkiewicz

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The Experts below are selected from a list of 2691 Experts worldwide ranked by ideXlab platform

Karoly Nagy - One of the best experts on this subject based on the ideXlab platform.

Ushangi Goginava - One of the best experts on this subject based on the ideXlab platform.

Emmanuel Rio - One of the best experts on this subject based on the ideXlab platform.

  • a maximal inequality and dependent Marcinkiewicz zygmund strong laws
    Annals of Probability, 1995
    Co-Authors: Emmanuel Rio
    Abstract:

    This paper contains some extension of Kolmogorov's maximal inequality to dependent sequences. Next we derive dependent Marcinkiewicz-Zygmund type strong laws of large numbers from this inequality. In particular, for stationary strongly mixing sequences (X i ) i ∈ Z with sequence of mixing coefficients (α n ) n≥0 , the Marcinkiewicz-Zygmund SLLN of order p holds if ∫ 0 1 [α -1 (t)] p-1 Q p (t) dt < ∞, where α -1 denotes the inverse function of the mixing rate function t → α [t] and Q denotes the quantile function of |X 0 |. The condition is obtained by an interpolation between the condition of Doukhan, Massart and Rio implying the CLT (p = 2) and the integrability of |X 0 | implying the usual SLLN (p = 1). Moreover, we prove that this condition cannot be improved for stationary sequences and power-type rates of strong mixing.

  • a maximal inequality and dependent Marcinkiewicz zygmund strong laws
    Annals of Probability, 1995
    Co-Authors: Emmanuel Rio
    Abstract:

    This paper contains some extension of Kolmogorov's maximal inequality to dependent sequences. Next we derive dependent Marcinkiewicz-Zygmund type strong laws of large numbers from this inequality. In particular, for stationary strongly mixing sequences $(X_i)_{i\in\mathbb{Z}$ with sequence of mixing coefficients $(\alpha_n)_{n\geq 0}$, the Marcinkiewicz-Zygmund SLLN of order $p$ holds if $\int^1_0\lbrack\alpha^{-1}(t)\rbrack^{p-1}Q^p(t)dt < \infty,$ where $\alpha^{-1}$ denotes the inverse function of the mixing rate function $t \rightarrow \alpha_{\lbrack t\rbrack}$ and $Q$ denotes the quantile function of $|X_0|$. The condition is obtained by an interpolation between the condition of Doukhan, Massart and Rio implying the CLT $(p = 2)$ and the integrability of $|X_0|$ implying the usual SLLN $(p = 1)$. Moreover, we prove that this condition cannot be improved for stationary sequences and power-type rates of strong mixing.

V N Temlyakov - One of the best experts on this subject based on the ideXlab platform.

  • entropy numbers and Marcinkiewicz type discretization
    Journal of Functional Analysis, 2021
    Co-Authors: Feng Dai, V N Temlyakov, A Prymak, Alexei Shadrin, Sergey Tikhonov
    Abstract:

    Abstract This paper studies the behavior of the entropy numbers of classes of functions with bounded integral norms from a given finite dimensional linear subspace. Upper bounds of these entropy numbers in the uniform norm are obtained and applied to establish a Marcinkiewicz-type discretization result for these classes.

  • entropy numbers and Marcinkiewicz type discretization theorem
    arXiv: Classical Analysis and ODEs, 2020
    Co-Authors: Feng Dai, V N Temlyakov, A Prymak, Alexei Shadrin, Sergey Tikhonov
    Abstract:

    This paper studies the behavior of the entropy numbers of classes of functions with bounded integral norms from a given finite dimensional linear subspace. Upper bounds of these entropy numbers in the uniform norm are obtained and applied to establish a Marcinkiewicz type discretization theorem for integral norms of functions from a given finite dimensional subspace.

  • the Marcinkiewicz type discretization theorems
    Constructive Approximation, 2018
    Co-Authors: V N Temlyakov
    Abstract:

    This paper is devoted to discretization of integral norms of functions from a given finite dimensional subspace. This problem is very important in applications, but there is no systematic study of it. We present here a new technique, which works well for discretization of the integral norm. It is a combination of probabilistic technique, based on chaining, and results on the entropy numbers in the uniform norm.

  • the Marcinkiewicz type discretization theorems
    arXiv: Numerical Analysis, 2017
    Co-Authors: V N Temlyakov
    Abstract:

    The paper is devoted to discretization of integral norms of functions from a given finite dimensional subspace. This problem is very important in applications but there is no systematic study of it. We present here a new technique, which works well for discretization of the integral norm. It is a combination of probabilistic technique, based on chaining, with results on the entropy numbers in the uniform norm.

Soo Hak Sung - One of the best experts on this subject based on the ideXlab platform.