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Integrable differential identities, together with ensemble-specific initial conditions, provide an effective approach for the characterisation of relevant observables and state functions in random matrix theory. We develop this approach for…

Mathematical Physics · Physics 2026-05-04 Costanza Benassi , Marta Dell'Atti , Antonio Moro

Stochastic filtering refers to estimating the probability distribution of the latent stochastic process conditioned on the observed measurements in time. In this paper, we introduce a new class of convergent filters that represent the…

Methodology · Statistics 2023-03-27 Zheng Zhao , Juha Sarmavuori

We introduce a systematic mathematical language for describing fixed point models and apply it to the study to topological phases of matter. The framework is reminiscent of state-sum models and lattice topological quantum field theories,…

Quantum Physics · Physics 2022-07-28 A. Bauer , J. Eisert , C. Wille

The landmark paper "Constructing tight fusion frames" by Casazza, Fickus, Mixon, Wang and Zhou introduced a fundamental method for constructing unit norm tight frames, which they called Spectral Tetris. This was a significant advancement…

Functional Analysis · Mathematics 2014-04-10 Peter G. Casazza , Lindsey M. Woodland

Fuzzy rough feature selection (FRFS) is an effective means of addressing the curse of dimensionality in high-dimensional data. By removing redundant and irrelevant features, FRFS helps mitigate classifier overfitting, enhance generalization…

Machine Learning · Computer Science 2025-05-22 Suping Xu , Lin Shang , Keyu Liu , Hengrong Ju , Xibei Yang , Witold Pedrycz

Several finite dimensional quasi-probability representations of quantum states have been proposed to study various problems in quantum information theory and quantum foundations. These representations are often defined only on restricted…

Quantum Physics · Physics 2008-08-07 Christopher Ferrie , Joseph Emerson

Classification is essential to the applications in the field of data mining, artificial intelligence, and fault detection. There exists a strong need in developing accurate, suitable, and efficient classification methods and algorithms with…

Artificial Intelligence · Computer Science 2024-03-19 Yingtao Ren , Xiaomin Zhu , Kaiyuan Bai , Runtong Zhang

This work highlights an approach for incorporating realistic uncertainties into scientific computing workflows based on finite elements, focusing on applications in computational mechanics and design optimization. We leverage Mat\'ern-type…

Computational Engineering, Finance, and Science · Computer Science 2024-08-09 Tobias Duswald , Brendan Keith , Boyan Lazarov , Socratis Petrides , Barbara Wohlmuth

Equiangular tight frames (ETFs) have found significant applications in signal processing and coding theory due to their robustness to noise and transmission losses. ETFs are characterized by the fact that the coherence between any two…

Information Theory · Computer Science 2018-04-10 Somantika Datta , Jesse Oldroyd

Complex tight frames can be canonically viewed as elements of a complex Stiefel manifold. We present a class of spaces of such frames which are simply connected relative to the subspace topology. To this class belongs the space of finite…

Functional Analysis · Mathematics 2026-05-19 Augustin-Liviu Mare

Finite frame quantization is a discrete version of the coherent state quantization. In the case of a quantum system with finite-dimensional Hilbert space, the finite frame quantization allows us to associate a linear operator to each…

Quantum Physics · Physics 2022-07-18 Nicolae Cotfas

Tight frames can be characterized as those frames which possess optimal numerical stability properties. In this paper, we consider the question of modifying a general frame to generate a tight frame by rescaling its frame vectors; a process…

Numerical Analysis · Mathematics 2012-04-17 Gitta Kutyniok , Kasso A. Okoudjou , Friedrich Philipp , Elizabeth K. Tuley

For every set $S$ of finite measure in $\mathbb{R}$ we construct a discrete set of real frequencies $\Lambda$ such that the exponential system $\{\exp(i\lambda t),\lambda\in\Lambda\}$ is a frame in $L^2(S)$

Classical Analysis and ODEs · Mathematics 2014-10-22 Shahaf Nitzan , Alexander Olevskii , Alexander Ulanovskii

We draw a random subset of $k$ rows from a frame with $n$ rows (vectors) and $m$ columns (dimensions), where $k$ and $m$ are proportional to $n$. For a variety of important deterministic equiangular tight frames (ETFs) and tight non-ETF…

Information Theory · Computer Science 2022-06-08 Marina Haikin , Ram Zamir , Matan Gavish

This paper establishes novel fixed point theorems for Kannan-type and Chatterjea-type mappings in probabilistic cone metric spaces. By integrating probabilistic distance functions with cone-valued structures, we generalize classical fixed…

Functional Analysis · Mathematics 2025-09-10 Elvin Rada

Transforms using random matrices have been found to have many applications. We are concerned with the projection of a signal onto Gaussian-distributed random orthogonal bases. We also would like to easily invert the process through…

Signal Processing · Electrical Eng. & Systems 2021-06-22 Ricardo L. de Queiroz

Many models for chaotic systems consist of joining two integrable systems with incompatible constants of motion. The quantum counterparts of such models have a propagator which factorizes into two integrable parts. Each part can be…

Chaotic Dynamics · Physics 2009-10-31 Tomaz Prosen , Thomas H. Seligman , Hans A. Weidenmueller

In this Letter we suggest a method of convex rigid frames in the studies of the multipartite quNit pure-states. We illustrate what are the convex rigid frames and what is the method of convex rigid frames. As the applications we use this…

Quantum Physics · Physics 2009-11-10 Zai-Zhe Zhong

We will show that tight frames satisfying the restricted isometry property give rise to nearly tight fusion frames which are nearly orthogonal and hence are nearly equi-isoclinic. We will also show how to replace parts of the RIP frame with…

Functional Analysis · Mathematics 2011-12-02 Bernhard Bodmann , Jameson Cahill , Peter G. Casazza

The implementation of the finite element method for linear elliptic equations requires to assemble the stiffness matrix and the load vector. In general, the entries of this matrix-vector system are not known explicitly but need to be…

Numerical Analysis · Mathematics 2019-08-26 Raphael Kruse , Nick Polydorides , Yue Wu
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