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This paper introduces to readers the new concept and methodology of confidence distribution and the modern-day distributional inference in statistics. This discussion should be of interest to people who would like to go into the depth of…

Methodology · Statistics 2021-09-07 Yifan Cui , Min-ge Xie

Results of research of possibility of transformation of a difference equation into a system of the first-order difference equation are presented. In contrast to the method used previously, an unknown grid function is split into two new…

General Mathematics · Mathematics 2017-03-29 M. I. Ayzatsky

This chapter introduces statistical methods used in the analysis of social networks and in the rapidly evolving parallel-field of network science. Although several instances of social network analysis in health services research have…

Physics and Society · Physics 2014-04-02 A. James O'Malley , Jukka-Pekka Onnela

We discuss how the presence of a suitable symmetry can guarantee the perturbative linearizability of a dynamical system - or a parameter dependent family - via the Poincar\'e Normal Form approach. We discuss this at first formally, and…

Mathematical Physics · Physics 2015-06-17 D. Bambusi , G. Cicogna , G. Gaeta , G. Marmo

Stochastic fluid-fluid models (SFFMs) offer powerful modeling ability for a wide range of real-life systems of significance. The existing theoretical framework for this class of models is in terms of operator-analytic methods. For the first…

Probability · Mathematics 2022-03-01 Nigel G. Bean , Małgorzata M. O'Reilly , Zbigniew Palmowski

We give a short constructive proof for the existence and uniqueness of the rational normal form of a quadratic matrix.

Representation Theory · Mathematics 2014-10-08 Klaus Bongartz

We introduce the notion of an approximation system as a generalization of Taylor approximation, and we give some first examples. Next we develop the general theory, including error bounds and a sufficient criterion for convergence. More…

Classical Analysis and ODEs · Mathematics 2017-10-20 Victor A. Pessers , Tom H. Koornwinder

The article provides the theoretical framework of Probabilistic Shoenfield Machines (PSMs), an extension of the classical Shoenfield Machine that models randomness in the computation process. PSMs are introduced in contexts where…

Symbolic Computation · Computer Science 2025-05-01 Maksymilian Bujok , Adam Mata

Random matrices now play a role in many parts of computational mathematics. To advance these applications, it is desirable to have tools that are flexible, easy to use, and powerful. Over the last 25 years, researchers have developed a…

Probability · Mathematics 2026-05-01 Joel A. Tropp

We give a gentle introduction to Frobenius splittings. Then we recall a few results that have been obtained with the method.

Algebraic Geometry · Mathematics 2013-06-19 Wilberd van der Kallen

This chapter is an introduction to the connection between random matrices and maps, i.e graphs drawn on surfaces. We concentrate on the one-matrix model and explain how it encodes and allows to solve a map enumeration problem.

Mathematical Physics · Physics 2011-04-18 J. Bouttier

These notes are intended to provide a brief primer in plasma physics, introducing common definitions, basic properties, and typical processes found in plasmas. These concepts are inherent in contemporary plasma-based accelerator schemes,…

Accelerator Physics · Physics 2017-05-31 P. Gibbon

In this paper a review of some important impedance-induced instabilities are briefly described for both the longitudinal and transverse planes. The main tools used nowadays to predict these instabilities and some considerations about…

Accelerator Physics · Physics 2020-03-18 M. Migliorati , E. Métral , M. Zobov

The aim of this paper is to present a self contained introduction to the Hubbard model and some of its applications.The paper consists of two parts: the first will introduce the basic notions of the Hubbard model starting from the…

Materials Science · Physics 2010-02-16 V. Celebonovic

The aim of this paper is to investigate the sufficient condition for the invariance of a normal curve on a smooth immersed surface under isometry. We also find the the deviations of the tangential and normal components of the curve with…

General Mathematics · Mathematics 2019-06-13 Absos Ali Shaikh , Mohamd Saleem Lone , Pinaki Ranjan Ghosh

A brief history, the current state, and future directions of spin mechanics are presented.

Mesoscale and Nanoscale Physics · Physics 2018-06-20 Joseph E. Losby , Mark R. Freeman

We recall the many obstacles which seemed, long ago, to prevent supersymmetry from possibly being a fundamental symmetry of Nature. We also present their solutions, leading to the construction of the supersymmetric extensions of the…

High Energy Physics - Phenomenology · Physics 2014-11-20 M. C. Rodriguez

This is a write-up of lectures on integrable sigma-models, which covers the following topics: (1) Homogeneous spaces, (2) Classical integrability of sigma-models in two dimensions, (3) Topological terms, (4) Background-field method and…

High Energy Physics - Theory · Physics 2017-12-22 K. Zarembo

The recently developed theory of higher--rank numerical ranges originated in problems of error correction in quantum information theory but its mathematical implications now include a quite satisfactory understanding of \emph{scalar}…

Functional Analysis · Mathematics 2012-03-27 John Holbrook , Nishan Mudalige , Rajesh Pereira

This is a review article on mirror symmetry and aspects of it related to the theory of modular forms. We describe this topic along its historical development and connect to some more recent results toward the end. The article is for…

High Energy Physics - Theory · Physics 2018-04-04 Babak Haghighat