Sobolev Space

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Vicenţiu D Rădulescu - One of the best experts on this subject based on the ideXlab platform.

Ye Peixin - One of the best experts on this subject based on the ideXlab platform.

  • probabilistic and average linear widths of Sobolev Space with gaussian measure in l norm
    Constructive Approximation, 2003
    Co-Authors: Fang Gensun, Ye Peixin
    Abstract:

    In this paper we investigate the probabilistic linear $(n,\delta)$-widths and $p$-average linear $n$-widths of the Sobolev Space $W^r_2$ equipped with the Gaussian measure $\mu$ in the $L_{\infty}$-norm, and determine the asymptotic equalities \begin{eqnarray*} \lambda_{n,\delta}(W^r_2,\mu,L_{\infty}) &\asymp&\frac{\sqrt{\ln (n/\delta)}}{n^{r+(s-1)/2}},\\[3pt] \lambda^{(a)}_n(W^r_2,\mu,L_{\infty})_p &\asymp&\frac{\sqrt{\ln n}}{n^{r+(s-1)/2}}, \qquad 0 < p < \infty. \end{eqnarray*}

  • probabilistic and average linear widths of Sobolev Space with gaussian measure
    Journal of Complexity, 2003
    Co-Authors: Fang Gensun, Ye Peixin
    Abstract:

    We determine the exact order of the p-average linear n-widths λn(a) (W2r, µ, Lq)p, 1 ≤ q > ∞, 0 > p > ∞, of the Sobolev Space W2r equipped with a Gaussian measure µ in the Lq-norm.Moreover, we also calculate the probabilistic linear (n, δ)-widths and p-average linear n- widths of the finite-dimensional Space Rm with the standard Gaussian measure in lqm, i.e., λn,δ(Rm, vm, lqm)~m1/q-1/2 √m + ln(1/δ), 1 ≤ q > 2, m ≥ 2n, δ ∈ (0, 1/2], λn(a) (Rm, vm, lqm)p~m1/q, 1 ≤ q > ∞, 0 > p > ∞, m ≥ 2n, δ ∈ (0, 1/2]. For the case of 2 ≤ q ≤ ∞, Maiorov and Wasilkowski have obtained the exact order of the probabilistic linear (n, δ)-widths λn,δ(Rm, vm, lqm), 2 ≤ q ≤ ∞, and p-average linear n-widths λn(a) (Rm, vm, lqm)1,q = ∞, p = 1.

Fang Gensun - One of the best experts on this subject based on the ideXlab platform.

  • probabilistic and average linear widths of Sobolev Space with gaussian measure in l norm
    Constructive Approximation, 2003
    Co-Authors: Fang Gensun, Ye Peixin
    Abstract:

    In this paper we investigate the probabilistic linear $(n,\delta)$-widths and $p$-average linear $n$-widths of the Sobolev Space $W^r_2$ equipped with the Gaussian measure $\mu$ in the $L_{\infty}$-norm, and determine the asymptotic equalities \begin{eqnarray*} \lambda_{n,\delta}(W^r_2,\mu,L_{\infty}) &\asymp&\frac{\sqrt{\ln (n/\delta)}}{n^{r+(s-1)/2}},\\[3pt] \lambda^{(a)}_n(W^r_2,\mu,L_{\infty})_p &\asymp&\frac{\sqrt{\ln n}}{n^{r+(s-1)/2}}, \qquad 0 < p < \infty. \end{eqnarray*}

  • probabilistic and average linear widths of Sobolev Space with gaussian measure
    Journal of Complexity, 2003
    Co-Authors: Fang Gensun, Ye Peixin
    Abstract:

    We determine the exact order of the p-average linear n-widths λn(a) (W2r, µ, Lq)p, 1 ≤ q > ∞, 0 > p > ∞, of the Sobolev Space W2r equipped with a Gaussian measure µ in the Lq-norm.Moreover, we also calculate the probabilistic linear (n, δ)-widths and p-average linear n- widths of the finite-dimensional Space Rm with the standard Gaussian measure in lqm, i.e., λn,δ(Rm, vm, lqm)~m1/q-1/2 √m + ln(1/δ), 1 ≤ q > 2, m ≥ 2n, δ ∈ (0, 1/2], λn(a) (Rm, vm, lqm)p~m1/q, 1 ≤ q > ∞, 0 > p > ∞, m ≥ 2n, δ ∈ (0, 1/2]. For the case of 2 ≤ q ≤ ∞, Maiorov and Wasilkowski have obtained the exact order of the probabilistic linear (n, δ)-widths λn,δ(Rm, vm, lqm), 2 ≤ q ≤ ∞, and p-average linear n-widths λn(a) (Rm, vm, lqm)1,q = ∞, p = 1.

Duchao Liu - One of the best experts on this subject based on the ideXlab platform.

Ahmad Javid - One of the best experts on this subject based on the ideXlab platform.

  • a study on single iteration Sobolev descent for linear initial value problems
    Optical and Quantum Electronics, 2021
    Co-Authors: Sultan Sial, Aly R Seadawy, Nauman Raza, Adnan Khan, Ahmad Javid
    Abstract:

    Mahavier and Montgomery construct a Sobolev Space for approximate solution of linear initial value problems in a finite difference setting in single-iteration Sobolev descent for linear initial value problems, Mahavier, Montgomery, MJMS, 2013. Their Sobolev Space is constructed so that gradient-descent converges to a solution in a single iteration, demonstrating the existence of a best Sobolev gradient for finite difference approximation of solutions of linear initial value problems. They then ask if there is a broader class of problems for which convergence in a single iteration in an appropriate Sobolev Space occurs. We use their results to show the existence of single-step iteration to solution in a lower dimensional Sobolev Space for their examples and then a class of problems for single-step convergence.

  • a note on single iteration Sobolev descent for linear initial value problems
    Authorea Preprints, 2020
    Co-Authors: Sultan Sial, Nauman Raza, Adnan Khan, Ahmad Javid
    Abstract:

    Mahavier and Montgomery construct a Sobolev Space for approximate solution of linear initial value problems in a finite difference setting in SINGLE-ITERATION Sobolev DESCENT FOR LINEAR INITIAL VALUE PROBLEMS, Mahavier, Montgomery, MJMS, 2013. Their Sobolev Space is constructed so that gradient-descent converges to a solution in a single iteration, demonstrating the existence of a best Sobolev gradient for finite difference approximation of solutions of linear initial value problems. They then ask if there is a broader class of problems for which convergence in a single iteration in an appropriate Sobolev Space occurs. We use their results to show the existence of single-step iteration to solution in a lower dimensional Sobolev Space for their examples and then a class of problems for single-step convergence.