Article
Multidisciplinary Sciences
Jian-Ping Zhang, Qiang-Qiang Chang
Summary: This work investigates nonhomogeneous wavelet frames in Sobolev spaces, and obtains a characterization of nonhomogeneous dual wavelet frames in (H-s(R-d), H-s(R-d)), which generalizes the results of Proposition 2.3 in [Appl Comput Harmon Anal 36 (2014):51-62].
Article
Mathematics, Applied
Yun-Zhang Li, Xiao-Li Zhang
Summary: This paper addresses the properties of quaternionic dual Gabor frames under certain conditions of time-frequency shift parameters. It explores the commutativity and dual structure of frames, and presents important findings in this area.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Mathematics, Applied
Angel D. Martinez, Daniel Spector
Summary: The paper discusses an improvement in inequalities for functions in a class of critical Sobolev spaces, showing that the inequality holds under specific conditions and has important mathematical implications.
ADVANCES IN NONLINEAR ANALYSIS
(2021)
Article
Mathematics, Applied
Alan Kamuda, Sergiusz Kuzel
Summary: The paper presents a method to find every dual frames based on Naimark's dilation theorem, describing the dual frames involves parameters characterizing the extension of a Parseval frame to an orthonormal basis. The formulas are simplified for frames in finite-dimensional spaces and for nearRiesz bases, with the latter case based on an extended and supplemented version of the Naimark theorem, proved in the last part of the paper.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
(2022)
Article
Mathematics, Applied
Ahmad Ahmadi
Summary: This paper focuses on the concepts of Riesz bases and pair of dual frames in the tensor product of Hilbert spaces, discussing special properties of pair of dual frames in these spaces. It demonstrates that Riesz bases and pair of dual frames in H circle times K are preserved under invertible and unitary operators on H, and presents a representation for Hilbert-Schmidt operators using a pair of dual frames.
RICERCHE DI MATEMATICA
(2021)
Article
Mathematics
Deepshikha, Aniruddha Samanta
Summary: This paper explores the properties of weaving generalized frames and weaving generalized orthonormal bases, including their interrelation and optimal bounds. It also presents a characterization of weaving g-frames and illustrates the differences between weaving generalized Riesz bases and weaving Riesz bases.
BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY
(2022)
Article
Mathematics, Applied
Ana Benavente, Ole Christensen, Marzieh Hasannasab, Hong Oh Kim, Rae Young Kim, Federico D. Kovac
Summary: This paper addresses the structural issues related to wavelet frames and their dual frames. It demonstrates the existence of wavelet frames for which no dual frame with wavelet structure exists. By imposing a mild decay condition on the Fourier transform of the generator, the paper shows the existence of an approximately dual wavelet frame that achieves close to perfect reconstruction. This approximate dual frame performs equally well as classical dual frame pairs in applications.
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS
(2022)
Article
Mathematics, Applied
Liang Li, Aifang Liu
Summary: In this paper, we introduce the Banach spaces induced by a g-frame and l(P)(circle plus H-i is an element of N(i)), where 1 <= p < 2. We study the different aspects of these spaces corresponding to reconstructions, existence and dilations. Under certain conditions, we prove the convergence of g-frame expansions of elements in the Banach space associated with the g-frame.
BANACH JOURNAL OF MATHEMATICAL ANALYSIS
(2022)
Article
Mathematics, Applied
Hui-Fang Jia, Jianping Zhang
Summary: Smoothness and vanishing moment requirements for nonhomogeneous wavelet bi-frames are separated, providing more flexibility in their construction compared to L-2(R-d). The reducing subspaces of Sobolev spaces are introduced to characterize the nonhomogeneous wavelet bi-frames in a general pair of dual reducing subspaces of Sobolev spaces.
JOURNAL OF INEQUALITIES AND APPLICATIONS
(2021)
Article
Mathematics
Fahimeh Arabyani-Neyshaburi, Ali Akbar Arefijamaal
Summary: This paper surveys the topic of weaving Hilbert space frames from the perspective of the duality principle, obtaining new properties and approaches for manufacturing pairs of woven frames. The study provides sufficient conditions under which a frame with its canonical dual, alternate duals, or approximate duals constitute concrete pairs of woven frames, and presents methods for constructing weaving frames using small perturbations. The findings demonstrate that the canonical duals of two woven frames are also woven.
BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY
(2021)
Article
Mathematics, Applied
K. P. Isaev, R. S. Yulmukhametov
Summary: We describe some radial Fock type spaces that have Riesz bases of normalized reproducing kernels for certain entire functions. The spaces are characterized by radial subharmonic functions, and we prove the existence of Riesz bases under certain conditions.
ANALYSIS AND MATHEMATICAL PHYSICS
(2022)
Article
Mathematics, Applied
Owais Ahmad
Summary: This paper introduces the concept of nonhomogeneous dual wavelet frames in Sobolev spaces over local fields and provides the complete characterization of such frames. Additionally, a mixed oblique extension principle for these frames is obtained.
Article
Mathematics
Osmin Ferrer, Arley Sierra, Osvaldo Polo
Summary: This paper introduces the concept and properties of orthogonal frames in Krein spaces. It proves the independence of the choice of the fundamental symmetry and derives interesting properties from it. Additionally, it demonstrates the equivalence between orthogonal frames in a Krein space and orthogonal frames in its associated Hilbert space. The paper also characterizes dual frames to a given frame, which is a useful tool for constructing examples.
Article
Mathematics, Applied
Jorge P. Diaz, Sigrid B. Heineken, Patricia M. Morillas
Summary: In representations using frames, oblique duality appears when analysis and synthesis are done in different subspaces. The explicit expression for oblique duals may be unobtainable and there may exist only one oblique dual frame that lacks the desired properties. Approximate oblique dual frames are introduced and investigated in separable Hilbert spaces, with various properties and characterizations presented. In shift-invariant subspaces of L2(R), we provide different conditions on the generators that guarantee the existence of approximate oblique dual frames. These frames are important in numerical and computational applications, as illustrated by an example using frame sequences generated by B-splines, where approximate oblique dual frames with better attributes than exact ones are constructed. The approximation error is expressed and studied.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Applied
Przemyslaw Gorka, Artur Slabuszewski
Summary: We study embeddings of fractional Sobolev spaces defined on metric-measure spaces. Various results about continuous and compact embeddings are proven. Many theorems are illustrated by a number of examples.
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
(2022)
Article
Mathematics, Applied
Bin Han, Qingtang Jiang, Zuowei Shen, Xiaosheng Zhuang
MATHEMATICS OF COMPUTATION
(2018)
Article
Computer Science, Interdisciplinary Applications
Jianbin Yang, Guanhua Zhu, Dudu Tong, Lanyuan Lu, Zuowei Shen
JOURNAL OF COMPUTATIONAL PHYSICS
(2018)
Article
Mathematics, Interdisciplinary Applications
Hut Ji, Zuowei Shen, Yufei Zhao
MULTISCALE MODELING & SIMULATION
(2018)
Article
Biochemistry & Molecular Biology
Guanhua Zhu, Wei Liu, Chenglong Bao, Dudu Tong, Hui Ji, Zuowei Shen, Daiwen Yang, Lanyuan Lu
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
(2018)
Article
Computer Science, Artificial Intelligence
Chenglong Bao, George Barbastathis, Hui Ji, Zuowei Shen, Zhengyun Zhang
SIAM JOURNAL ON IMAGING SCIENCES
(2018)
Article
Mathematics, Applied
Hui Ji, Zuowei Shen, Yufei Zhao
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
(2019)
Article
Mathematics, Applied
Tongyao Pang, Qingna Li, Zaiwen Wen, Zuowei Shen
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
(2020)
Article
Computer Science, Artificial Intelligence
Zuowei Shen, Haizhao Yang, Shijun Zhang
Article
Computer Science, Artificial Intelligence
Zuowei Shen, Haizhao Yang, Shijun Zhang
Summary: The new network, utilizing Floor-ReLU activation function, can approximate Holder functions and continuous functions under specific dual parameter conditions, overcoming the curse of dimensionality in approximation power.
NEURAL COMPUTATION
(2021)
Article
Mathematics, Applied
Zuowei Shen, Haizhao Yang, Shijun Zhang
Summary: This paper focuses on the approximation ability of deep feed-forward neural networks in terms of width and depth, proving that ReLU networks with specific widths and depths can approximate Holder continuous functions with certain rates. The research results are optimal in terms of width and depth separately, showing better approximation performance compared to existing results.
JOURNAL DE MATHEMATIQUES PURES ET APPLIQUEES
(2022)
Article
Computer Science, Artificial Intelligence
Zuowei Shen, Haizhao Yang, Shijun Zhang
Summary: This paper introduces a three-hidden-layer neural network with super approximation power, named Floor-Exponential-Step (FLES) networks, which can uniformly approximate Holder continuous functions with an exponential approximation rate. The network overcomes the curse of dimensionality in approximation power by utilizing specific activation functions and can extend the results to general bounded continuous functions.
Article
Mathematics, Applied
Bin Dong, Zuowei Shen, Jianbin Yang
Summary: This paper explores the approximation of functions from noisy and nonsmooth observed data, with a focus on sparse noise removal schemes. Theoretical analysis is presented, highlighting the importance of sparsity-based denoising for effective approximation. A new approximation scheme is proposed for large datasets to significantly reduce noise level and ensure asymptotic convergence.
SIAM JOURNAL ON NUMERICAL ANALYSIS
(2021)
Article
Mathematics, Applied
Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
Summary: This paper establishes the optimal approximation error characterization of deep ReLU networks for smooth functions in terms of both width and depth simultaneously. Through local Taylor expansions and their deep ReLU network approximations, it shows that deep ReLU networks can approximate functions with a nearly optimal approximation error for arbitrary width and depth specified by N epsilon N+ and L epsilon N+, respectively. The estimate provided is nonasymptotic, valid for any chosen width and depth.
SIAM JOURNAL ON MATHEMATICAL ANALYSIS
(2021)
Article
Physics, Mathematical
Zuowei Shen, Haizhao Yang, Shijun Zhang
COMMUNICATIONS IN COMPUTATIONAL PHYSICS
(2020)
Article
Mathematics, Interdisciplinary Applications
Hui Ji, Zuowei Shen, Yufei Zhao
MULTISCALE MODELING & SIMULATION
(2020)