Optimal Recovery of Functions on the Sphere on a Sobolev Spaces with a Gaussian Measure in the Average Case Setting
- ISSN号:1672-4070
- 期刊名称:《分析理论与应用:英文刊》
- 时间:0
- 分类:O175.29[理学—数学;理学—基础数学] O212.1[理学—概率论与数理统计;理学—数学]
- 作者机构:[1]School of Science, Xihua University, Chengdu 610039, China, [2]School of Mathematical Sciences, Capital Normal University, Beijing 100048,China
- 相关基金:Acknowledgments The first author was supported by the National Natural Science Foundation of China (No. 11426179), the Key Scientific Research Fund of Xihua University (No. z1312624), the Foundation of Sichuan Educational Committee (No. 14ZA0112), and the Preeminent Youth Fund for School of Science in Xihua Universit~ The second author was supported by the National Natural Science Foundation of China (Nos. 10871132, 11271263), the Beijing Natural Science Foundation (No. 1132001) and BCMIIS.
关键词:
SOBOLEV空间, 测量范围, 平均数, 最优恢复, 球面函数, 设置, 高斯, 渐近最优算法, Optimal recovery on the sphere, average sampling numbers, optimal algorithm,Gaussian measure.
中文摘要:
In this paper, we study optimal recovery(reconstruction) of functions on the sphere in the average case setting. We obtain the asymptotic orders of average sampling numbers of a Sobolev space on the sphere with a Gaussian measure in the Ld-1q(S) metric for 1 ≤ q ≤∞, and show that some worst-case asymptotically optimal algorithms are also asymptotically optimal in the average case setting in the Ldq(S-1)metric for 1 ≤ q ≤∞.
英文摘要:
In this paper, we study optimal recovery (reconstruction) of functions on the sphere in the average case setting. We obtain the asymptotic orders of average sampling numbers of a Sobolev space on the sphere with a Gaussian measure in the Lq (S^d-1) metric for 1 ≤ q ≤ ∞, and show that some worst-case asymptotically optimal algorithms are also asymptotically optimal in the average case setting in the Lq (S^d-1) metric for 1 ≤ q ≤ ∞.