REDUCTION OF DIMENSION AS A CONSEQUENCE OF NORM-RESOLVENT CONVERGENCE AND APPLICATIONS

被引:9
|
作者
Krejcirik, D. [1 ]
Raymond, N. [2 ]
Royer, J. [3 ]
Siegl, P. [4 ]
机构
[1] Czech Tech Univ, Fac Nucl Sci & Phys Engn, Dept Math, Trojanova 13, Prague 12000 2, Czech Republic
[2] Univ Rennes 1, IRMAR, Campus Beaulieu, F-35042 Rennes, France
[3] Univ Toulouse 3, Inst Math Toulouse, 118 Route Narbonne, F-31062 Toulouse 9, France
[4] Univ Bern, Math Inst, Alpeneggstr 22, CH-3012 Bern, Switzerland
基金
瑞士国家科学基金会;
关键词
LAPLACIAN;
D O I
10.1112/S0025579318000013
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is devoted to dimensional reductions via the normresolvent convergence. We derive explicit bounds on the resolvent difference as well as spectral asymptotics. The efficiency of our abstract tool is demonstrated by its application on seemingly different partial differential equation problems from various areas of mathematical physics; all are analysed in a unified manner, known results are recovered and new ones established.
引用
收藏
页码:406 / 429
页数:24
相关论文
共 50 条
  • [41] Substructuring, dimension reduction and applications: An introduction
    Bai, Zhaojun
    Li, Ren-Cang
    APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING, 2006, 3732 : 266 - 266
  • [42] Dimension reduction in functional regression with applications
    Amato, U
    Antoniadis, A
    De Feis, I
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2006, 50 (09) : 2422 - 2446
  • [43] Explicit Dimension Reduction and Its Applications
    Karnin, Zohar S.
    Rabani, Yuval
    Shpilka, Amir
    2011 IEEE 26TH ANNUAL CONFERENCE ON COMPUTATIONAL COMPLEXITY (CCC), 2011, : 262 - 272
  • [44] EXPLICIT DIMENSION REDUCTION AND ITS APPLICATIONS
    Karnin, Zohar S.
    Rabani, Yuval
    Shpilka, Amir
    SIAM JOURNAL ON COMPUTING, 2012, 41 (01) : 219 - 249
  • [45] Dimension reduction issues in classification applications
    Fargues, MP
    Duzenli, O
    CONFERENCE RECORD OF THE THIRTY-SECOND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1998, : 1670 - 1673
  • [46] Capped lp-Norm LDA for Outliers Robust Dimension Reduction
    Wang, Zheng
    Nie, Feiping
    Zhang, Canyu
    Wang, Rong
    Li, Xuelong
    IEEE SIGNAL PROCESSING LETTERS, 2020, 27 (27) : 1315 - 1319
  • [47] Convergence rate of dimension reduction in Bose-Einstein condensates
    Bao, Weizhu
    Ge, Yunyi
    Jaksch, Dieter
    Markowich, Peter A.
    Weishaeupl, Rada M.
    COMPUTER PHYSICS COMMUNICATIONS, 2007, 177 (11) : 832 - 850
  • [48] Dimension, reduction and spatiotemporal regression: Applications to neuroimaging
    Shedden, K
    Li, KC
    COMPUTING IN SCIENCE & ENGINEERING, 2003, 5 (05) : 30 - 36
  • [49] Universality laws for randomized dimension reduction, with applications
    Oymak, Samet
    Tropp, Joel A.
    INFORMATION AND INFERENCE-A JOURNAL OF THE IMA, 2018, 7 (03) : 337 - 446
  • [50] Sufficient Dimension Reduction: Methods and Applications With R
    McDonald, Daniel J.
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2020, 115 (530) : 1032 - 1033