2019
DOI: 10.1016/j.jat.2018.12.006
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Probabilistic and average linear widths of weighted Sobolev spaces on the ball equipped with a Gaussian measure

Abstract: Let Lq,µ, 1 ≤ q ≤ ∞, denotes the weighted Lq space of functions on the unit ball B d with respect to weight (1 − x 2 2 ) µ− 1 2 , µ ≥ 0, and let W r 2,µ be the weighted Sobolev space on B d with a Gaussian measure ν. We investigate the probabilistic linear (n, δ)-widths λ n,δ (W r 2,µ , ν, Lq,µ) and the p-average linear n-widths λ (a) n (W r 2,µ , µ, Lq,µ)p, and obtain their asymptotic orders for all 1 ≤ q ≤ ∞ and 0 < p < ∞.

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Cited by 10 publications
(4 citation statements)
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“…Chen and Fang studied the probabilistic and average widths of multivariate Sobolev space with mixed derivative in the L q -norm, 1 ≤ q < ∞ [13,14]. After 2010, Wang studied the probabilistic and average widths of Sobolev spaces in weighted Sobolev spaces [15,16]. Tan et al studied the Gel'fand N-width in the probabilistic setting of one-dimensional Sobolev space in the L q -norm, 1 ≤ q < ∞ [5].…”
Section: Definition 3 ([1]mentioning
confidence: 99%
“…Chen and Fang studied the probabilistic and average widths of multivariate Sobolev space with mixed derivative in the L q -norm, 1 ≤ q < ∞ [13,14]. After 2010, Wang studied the probabilistic and average widths of Sobolev spaces in weighted Sobolev spaces [15,16]. Tan et al studied the Gel'fand N-width in the probabilistic setting of one-dimensional Sobolev space in the L q -norm, 1 ≤ q < ∞ [5].…”
Section: Definition 3 ([1]mentioning
confidence: 99%
“…Dai and Wang [11] obtained the sharp bounds of probabilistic linear (N, δ)-widths and p-average linear N-widths of finite dimensional space with a diagonal matrix. Wang [12,13] estimated the sharp bounds of probabilistic linear (N, δ)-widths and p-average linear N-widths of weighted Sobolev spaces on the ball and Sobolev spaces on compact two-point homogeneous spaces.…”
Section: Introductionmentioning
confidence: 99%
“…The above narrative turns out to be the prototype for Fourier orthogonal series domains in higher dimensions. In the past two decades, starting from the addition formula for classical orthogonal polynomials on the unit ball [21], closed form formulas for reproducing kernels of orthogonal polynomials have been discovered for several regular domains, including the unit ball, regular simplex, cylinder, as well as the unit sphere with inner product defined by weighted integrals, which makes study of the Fourier orthogonal series on these domain feasible; see, for example, [3,4,5,6,9,10,11,13,18,19,20,21,22] and their references. For unbounded classical domains, we refer to [16] as well as to [2,17] for references on more recent works, which however require techniques beyond our narrative.…”
Section: Introductionmentioning
confidence: 99%