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Recently, a new eigenvalue problem, called the transmission eigenvalue problem, has attracted many researchers. The problem arose in inverse scattering theory for inhomogeneous media and has important applications in a variety of inverse…

Numerical Analysis · Mathematics 2016-11-23 Ruihao Huang , Allan A. Struthers , Jiguang Sun , Ruming Zhang

A systematic study of correlations in the chart of calculated masses of Moller and Nix is presented. It is shown that the differences between the masses calculated by Moller at al and the measured ones have a well defined oscillatory…

Nuclear Theory · Physics 2009-11-10 Jorge G. Hirsch , Alejandro Frank , Victor Velazquez

This article proposes a new approach in the treatment of the Hilbert transform and some cases of the Fourier transform whose improper integrals are principal values. This approach may be useful for teaching these issues to undergraduate…

Mathematical Physics · Physics 2024-04-04 Jorge Pedraza Arpasi

We prove several theorems concerning the exceptional sets of Hilbert transform on the real line. In particular, it is proved that any null set is exceptional set for the Hibert transform of an indicator function. The paper also provides a…

Classical Analysis and ODEs · Mathematics 2021-01-26 Grigori Karagulyan

In this paper we study a new class of transformations on the set of all Hilbert space effects. This consists of the bijective maps which preserve the order and zero product in both directions. The main result of the paper gives a complete…

Functional Analysis · Mathematics 2007-05-23 Lajos Molnar

Given a commutative ring with identity $R$, many different and interesting operations can be defined over the set $H_R$ of sequences of elements in $R$. These operations can also give $H_R$ the structure of a ring. We study some of these…

Number Theory · Mathematics 2018-05-31 Stefano Barbero , Umberto Cerruti , Nadir Murru

In a general context of positive definite kernels $k$, we develop tools and algorithms for sampling in reproducing kernel Hilbert space $\mathscr{H}$ (RKHS). With reference to these RKHSs, our results allow inference from samples; more…

Functional Analysis · Mathematics 2016-01-28 Palle Jorgensen , Feng Tian

In this article we study a small random perturbation of a linear recurrence equation. If all the roots of its corresponding characteristic equation have modulus strictly less than one, the random linear recurrence goes exponentially fast to…

Probability · Mathematics 2023-05-05 Gerardo Barrera , Shuo Liu

In this paper, some important properties of the windowed offset linear canonical transform (WOLCT) such as shift, modulation and orthogonality relation are introduced. Based on these properties we derive the convolution and correlation…

General Mathematics · Mathematics 2019-07-19 Wen-Biao Gao , Bing-Zhao Li

New results on strong-consistency, in the Hilbert-Schmidt and trace operator norms, are obtained, in the parameter estimation of an autoregressive Hilbertian process of order one (ARH(1) process). In particular, a strongly-consistent…

Statistics Theory · Mathematics 2018-09-13 M. D. Ruiz-Medina , J. Alvarez-Liebana

{Recently, we found that the correlation between the eigenvalues of random hermitean matrices exhibits universal behavior. Here we study this universal behavior and develop a diagrammatic approach which enables us to extend our previous…

Condensed Matter · Physics 2009-10-22 E. Brezin , A. Zee

We study two-state (dichotomous, telegraph) random ergodic continuous-time processes with dynamics depending on their past. We take into account the history of process in an explicit form by introducing an integral non-local memory term…

Statistical Mechanics · Physics 2024-02-20 S. S. Apostolov , O. V. Usatenko , V. A. Yampol'skii , S. S. Melnyk , P. Grigolini , A. Krokhin

The one-sided and full Hilbert transforms are evaluated exactly by means of the method of finite-part integration [E.A. Galapon, \textit{Proc. Roy. Soc. A} \textbf{473}, 20160567 (2017)]. In general, the result consists of two terms -- the…

Complex Variables · Mathematics 2023-09-01 Philip Jordan D. Blancas , Eric A. Galapon

We use the concept of the half of a lower-triangular matrix to define a transformation on integer sequences. We explore the properties of this transformation, including in some cases a study of the Hankel transform of the transformed…

Combinatorics · Mathematics 2020-04-10 Paul Barry

The logarithm of the number of Eulerian orientations, normalised by the number of vertices, is known as the residual entropy in studies of ice-type models on graphs. The spanning tree entropy depends similarly on the number of spanning…

Combinatorics · Mathematics 2025-03-07 Mikhail Isaev , Brendan D. McKay , Rui-Ray Zhang

This paper deals with the problem of the classification of the local graded Artinian quotients $\mathbb{K}[x,y]/I$ where $\mathbb{K}$ is an algebraically closed field of characteristic $0$. They have a natural invariant called…

Commutative Algebra · Mathematics 2017-05-17 Konstantin Loginov

We consider a Hamiltonian $H$ which is the sum of a deterministic part $H_0$ and of a random potential $V$. For finite $N \times N$ matrices, following a method introduced by Kazakov, we derive a representation of the correlation functions…

Condensed Matter · Physics 2009-10-28 E. Brézin , S. Hikami

In this letter, we present the NNLL-NNLO transverse momentum Higgs distribution arising from gluon fusion. In the regime $p_\perp\ll m_H$ we include the resummation of the large logs at next to next-to leading order and then match on to the…

High Energy Physics - Phenomenology · Physics 2016-01-27 Duff Neill , Ira Z. Rothstein , Varun Vaidya

Recurrent neural network (RNN) and connectionist temporal classification (CTC) have showed successes in many sequence labeling tasks with the strong ability of dealing with the problems where the alignment between the inputs and the target…

Computer Vision and Pattern Recognition · Computer Science 2017-10-10 Hongjian Zhan , Qingqing Wang , Yue Lu

The objective of this work is to improve the accuracy of building demand forecasting. This is a more challenging task than grid level forecasting. For the said purpose, we develop a new technique called recurrent transform learning (RTL).…

Machine Learning · Computer Science 2019-12-12 Megha Gupta , Angshul Majumdar
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