Chunlan Jiang
Hebei Normal University
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Publication
Featured researches published by Chunlan Jiang.
Journal of Functional Analysis | 2016
Chunlan Jiang; Zhengwei Liu; Jinsong Wu
The classical uncertainty principles deal with functions on abelian groups. In this paper, we discuss the uncertainty principles for finite index subfactors which include the cases for finite groups and finite dimensional Kac algebras. We prove the Hausdorff–Young inequality, Youngs inequality, the Hirschman–Beckner uncertainty principle, the Donoho–Stark uncertainty principle. We characterize the minimizers of the uncertainty principles and then we prove Hardys uncertainty principle by using minimizers. We also prove that the minimizer is uniquely determined by the supports of itself and its Fourier transform. The proofs take the advantage of the analytic and the categorial perspectives of subfactor planar algebras. Our method to prove the uncertainty principles also works for more general cases, such as Popas λ-lattices, modular tensor categories, etc.
Journal of Functional Analysis | 2005
Chunlan Jiang; Xianzhou Guo; Kui Ji
Journal of Functional Analysis | 2010
Chunlan Jiang; Dechao Zheng
Comptes Rendus Mathematique | 2014
Kui Ji; Chunlan Jiang; Dinesh Kumar Keshari; Gadadhar Misra
Journal of Functional Analysis | 2010
Guihua Gong; Chunlan Jiang; Liangqing Li; Cornel Pasnicu
Journal of Functional Analysis | 2017
Chunlan Jiang; Zhengwei Liu; Jinsong Wu
arXiv: Operator Algebras | 2016
Guihua Gong; Chunlan Jiang; Liangqing Li
Journal of Functional Analysis | 2017
Kui Ji; Chunlan Jiang; Dinesh Kumar Keshari; Gadadhar Misra
International Mathematics Research Notices | 2017
Guihua Gong; Chunlan Jiang; Liangqing Li; Cornel Pasnicu
Journal of Functional Analysis | 2017
Chunlan Jiang; Kui Ji; Gadadhar Misra