Uncertainty Principle for Real Functions in Free Metaplectic Transformation Domains

被引:0
|
作者
Zhichao Zhang
机构
[1] Nanjing University of Information Science & Technology,School of Mathematics and Statistics
[2] Sichuan University,Department of Mathematics
[3] New York University,Department of Electrical and Computer Engineering, Tandon School of Engineering
关键词
Heisenberg’s uncertainty principle; Metaplectic transformation; Free symplectic matrix; Inequality; Covariance matrix; Trace; Singular value; 15A42; 42A38; 42B10; 70H15;
D O I
暂无
中图分类号
学科分类号
摘要
This study devotes to the uncertainty principle under the free metaplectic transformation (an abbreviation of the metaplectic operator with a free symplectic matrix) of a real function. Covariance matrices in time, frequency and time–frequency domains are defined, and a relationship between these matrices and the free metaplectic transformation domain covariance is proposed. We then obtain two versions of lower bounds on the uncertainty product of the covariances of a real function in two free metaplectic transformation domains. It is shown here that a multivariable square integrable real-valued function cannot be both two free metaplectic transformations band limited. It is also seen that these two lower bounds depend not only on the minimum singular value of the blocks Aj,Bj\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathbf {A}}_j,{\mathbf {B}}_j$$\end{document}, j=1,2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$j=1,2$$\end{document} found in free symplectic matrices but also on the covariance in time domain or in frequency domain. We thus reduce them to a new one which does not contain the covariances in time and frequency domains. Sufficient conditions that reach the lower bounds are derived. Example and simulation results are provided to validate the theoretical analysis.
引用
收藏
页码:2899 / 2922
页数:23
相关论文
共 50 条
  • [21] A directional uncertainty principle for periodic functions
    Aleksandr Krivoshein
    Elena Lebedeva
    Jürgen Prestin
    Multidimensional Systems and Signal Processing, 2019, 30 : 1489 - 1515
  • [22] An improved uncertainty principle for functions with symmetry
    Garcia, Stephan Ramon
    Karaali, Gizem
    Katz, Daniel J.
    JOURNAL OF ALGEBRA, 2021, 586 : 899 - 934
  • [23] An Uncertainty Principle for Functions Defined on Graphs
    Agaskar, Ameya
    Lu, Yue M.
    WAVELETS AND SPARSITY XIV, 2011, 8138
  • [24] Generalized convolution and product theorems associated with the free metaplectic transformation and their applications
    Cui, Manjun
    Zhang, Zhichao
    DIGITAL SIGNAL PROCESSING, 2024, 145
  • [25] UNCERTAINTY PRINCIPLE IN RECONSTRUCTING FUNCTIONS FROM PROJECTIONS
    LOGAN, BF
    DUKE MATHEMATICAL JOURNAL, 1975, 42 (04) : 661 - 706
  • [26] Uncertainty principle for vector-valued functions
    Qu, Feifei
    Wei, Xin
    Chen, Juan
    AIMS MATHEMATICS, 2024, 9 (05): : 12494 - 12510
  • [27] Uncertainty principle for multivector-valued functions
    Fu, Yingxiong
    Li, Luoqing
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2015, 13 (01)
  • [28] UNCERTAINTY PRINCIPLE FOR RATIONAL FUNCTIONS IN HARDY SPACES
    Xiong, Dan
    Chai, Li
    Zhang, Jingxin
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 4364 - 4368
  • [29] A logarithmic uncertainty principle for functions with radial symmetry
    Bellazzini, Jacopo
    Nesi, Matteo
    PROCEEDINGS OF THE EDINBURGH MATHEMATICAL SOCIETY, 2025,
  • [30] Generating Real Random Numbers with Uncertainty Principle
    ZHANG Jiayi
    Instrumentation, 2020, 7 (03) : 43 - 49